Search results for "Transformers"

Gitlab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.   Overview of the Role As the Manager, Solutions Architecture - UK/I (Pre-Sales) at GitLab, you'll manage a distributed team of Solutions Architects working with customers across the UK and Ireland, with scope to grow into additional countries within the region over time, such as Sweden and the Netherlands. In this player-coach role, you'll guide technical strategy across complex sales motions while also stepping directly into high-impact opportunities to help your team secure technical wins and build customer confidence in GitLab's platform approach. At GitLab, we work at the intersection of technical sales strategy, team development, and operational scale, and you'll help translate customer requirements into clear business outcomes. You'll partner closely with regional go-to-market counterparts and cross-functional teams including Sales, Channel, Marketing, Sales Enablement, Product Management, and the global Solutions Architecture team. In our all-remote environment, you'll help shape how we grow the Solutions Architecture organization across UK/I by building strong operating rhythms, strengthening executive relationships, and creating the conditions for your team to do their best work. This role suits someone who combines technical depth, strong judgment, and a hands-on approach to winning business and scaling teams. Some of the types of projects you'll work on: * Running technical evaluations, executive workshops, demos, and proof-of-concept engagements that help customers map GitLab's DevSecOps platform to their business goals * Building regional operating practices that improve team execution, strengthen cross-functional alignment, and scale the impact of Solutions Architects across UK/I What you'll do * Manage a team of intermediate and senior Solutions Architects across the UK and Ireland, with scope to expand into other countries within the region such as Sweden and the Netherlands as the team grows, setting clear direction and enabling high-quality execution across UK/I. * Act as a player-coach by partnering directly on strategic opportunities, building executive relationships, and coaching your team through complex sales cycles to help secure the technical win. * Guide regional strategy for technical evaluations, workshops, demonstrations, and proof-of-concept engagements, ensuring customer needs are translated into meaningful technical and business outcomes. * Work cross-functionally with global Solutions Architecture, Sales, Channel, Marketing, Sales Enablement, and Product Management to align on priorities and execute against regional goals. * Manage dotted-line relationships with Channel Solutions Architects and subject matter experts, driving accountability, collaboration, and alignment around common goals. * Maintain strong operational discipline across workload planning, resource allocation, headcount planning, opportunity forecasting, and field execution. * Define and track key performance indicators for the team, communicating progress, risks, and priorities clearly to your team, peers, and senior stakeholders. * Hire, develop, and retain high-performing Solutions Architects while strengthening team capability, encouraging innovation, and building a scalable regional organization for future growth. What you'll bring * Experience managing technical teams in software or technology sales, pre-sales, consulting, or a related environment, with direct exposure to the UK and Ireland; exposure to other European markets such as Sweden or the Netherlands is a plus, given the scope for the role to grow into these countries over time. * Strong background in solution architecture or comparable practical experience, with the ability to relate technical depth to customer business value and apply transferable experience from adjacent domains while learning GitLab and related tools. * Proven success developing, mentoring, and scaling Solutions Architecture practices or similar customer-facing technical organizations in growing businesses. * Strong communication and technical presentation skills, with the ability to engage effectively across cultures and with both technical and business stakeholders. * Demonstrated business acumen and sound judgment, balancing technical excellence with commercial outcomes and regional priorities. * Track record of influencing cross-functional stakeholders and building strong partnerships across Sales, Channel, Marketing, Enablement, Product, and other senior stakeholder groups. * Experience building inclusive, high-performing teams and creating clear, accountable operating practices in a distributed or remote environment. * A genuine curiosity for AI, with a habit of weaving AI tools into your own day-to-day work to move faster and think sharper, and an eye for how that same mindset can be turned outward to deepen and elevate customer engagement. * Ability and willingness to travel in line with business needs and GitLab's travel policy. * We are currently only able to accept applicants based in the UK or Ireland #LI-CM1 About the team The Solutions Architects team at GitLab is an established technical partner for the field, and we help customers and internal teams see the value of GitLab's platform approach during complex engagements. We combine technical credibility, customer confidence, and strong business partnership to enable success across the customer journey. Our work helps turn technical validation into confidence, momentum, and long-term value for prospects, customers, and partners. We also play an important role in linking the field to the rest of GitLab. By working closely with go-to-market and product organizations, we surface customer feedback that informs conversations about product direction, enablement, services, and messaging. As a globally distributed team, we rely on clear communication, consistent ways of working, and thoughtful collaboration to help customers across multiple regions and functions. We are focused on strengthening regional execution, building scalable practices for technical engagement, and helping GitLab grow through consistent, high-quality customer experiences. We're an important team for GitLab's continued growth because we combine team direction, technical expertise, and operational rigor in a way that helps the business scale while staying close to customer needs.   HOW GITLAB WILL SUPPORT YOU * Benefits to support your health, finances, and well-being * Flexible Paid Time Off  * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental leave  * Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off  * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave  Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.   Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. THE ROLE Neo4j is the world’s leading graph database, and our Solutions Engineering (PreSales) team plays a pivotal role in helping customers unlock its potential every day. Neo4j has established itself as a premier data and AI platform for enterprise use cases across Knowledge Graphs, Network & Grid Topology, Root-Cause & Impact Analysis, Fraud & AML, Customer 360, Asset Intelligence, and modern AI workloads including GenAI, LLM-driven applications, and emerging Agentic AI architectures. As part of Neo4j's Solutions Engineering (PreSales) organization, you will work directly with strategic and enterprise customers in the Nordics across several key verticals — including Financial Services, Public Sector, Energy & Utilities, High-Tech Manufacturing, and Telecommunications.You’ll provide technical and architectural leadership, helping customers design Neo4j-powered solutions that deliver measurable business value. The role of a Solutions Engineer (PreSales) encompasses a broad range of responsibilities, starting with understanding a customer’s unique requirements and environment. You’ll translate these into tailored solution architectures that incorporate Neo4j’s advanced graph technology, guiding stakeholders throughout the sales cycle. Daily work includes demonstrating Neo4j’s capabilities, whiteboarding solution designs, and engaging with technical decision-makers to align solutions with their strategic priorities. You’ll bridge the gap between business and technology, combining technical strength with the ability to articulate clear value and outcomes. The role is based in Stockholm, where we enjoy a beautiful, modern office space. We trust our team to manage their own time, so working from home is fully supported. However, because building strong relationships is core to what we do, you will need to be available in person for occasional customer meetings. MAIN RESPONSIBILITIES * Act as a central player in Neo4j PreSales engagements, supporting customers across the entire customer lifecycle — from early discovery to architecture design, proof-of-value, and long-term adoption. * Build and nurture strong relationships with strategic and enterprise customer teams. * Partner closely with Account Executives to communicate the technical and business impact of graph solutions. * Ensure strong technical alignment and smooth integration of Neo4j into customer environments. * Provide architectural recommendations aligned with customer strategies and IT landscapes. * Design and present Neo4j-based prototypes that demonstrate both technical feasibility and business value. KEY ROLE CHARACTERISTICS * Experience: At least 5 years in PreSales / Solutions Engineering or Professional Services, ideally with enterprise customers in High-Tech, Energy, Telecom, Financial Services, or Public Sector. * Data Platform Expertise: Strong understanding of data platforms, particularly databases. * Solution Design: Ability to translate business requirements into effective solution architectures. * Technical Proficiency: Familiarity with a programming or scripting language (Java, Python, JavaScript, etc.). * Consultative Skills: Proven experience guiding technical teams through complex, consultative engagements. * Adaptability: Strong desire to learn and quickly adopt emerging technologies. * Problem-Solving: Passion for tackling complex technical challenges with innovative solutions. * Enablement: Ability to lead technical workshops and small-group sessions. * Sales Alignment: Comfortable managing the technical aspects of enterprise sales cycles. * Travel: Willingness to travel occasionally. * Languages: Fluency in both Swedish and English is required. BENEFICIAL QUALIFICATIONS * Hands-on experience with graph technologies (Neo4j, Cypher, GDS, GraphQL). * Knowledge of GenAI, LLM architectures, RAG, or Agentic AI frameworks. * Experience with vector search, embeddings, or semantic retrieval. * Background in graph data science, network analysis, or ML pipelines. * ETL, data integration, or data virtualization expertise. * Familiarity with complex enterprise IT environments.     Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Voi Technology

English version below 🇫🇷 Site Manager – Paris Vous êtes passionné(e) par le management, les opérations et la mobilité durable ? Vous aimez manager des équipes, optimiser les opérations et relever des défis au quotidien ? Vous recherchez un poste à responsabilités où vous aurez un impact concret sur une activité en pleine croissance ? Alors cette opportunité est faite pour vous. Chez Voi, nous transformons la mobilité urbaine depuis 2018. Aujourd'hui, nous sommes le leader européen de la micromobilité, présents dans plus de 100 villes réparties dans 13 pays. Nous recherchons actuellement un Site Manager pour piloter notre site opérationnel de Paris. Vous serez responsable de l'ensemble des opérations terrain et entrepôt, du management des équipes ainsi que de la performance opérationnelle du site. Votre objectif : garantir une exploitation efficace, sûre et de qualité afin d'offrir la meilleure expérience possible à nos utilisateurs. Vos missions En tant que Site Manager, vous serez amené(e) à : * Manager, accompagner et développer une équipe opérationnelle engagée et performante. * Superviser les opérations quotidiennes sur le terrain et en entrepôt afin d'assurer leur bon déroulement. * Piloter les indicateurs de performance (KPI) et mettre en place des plans d'amélioration continue. * Garantir l'atteinte des objectifs opérationnels, qualitatifs et budgétaires du site. * Participer au recrutement, à l'intégration et au développement des collaborateurs. * Optimiser la planification des ressources humaines en fonction de l'activité. * Maximiser la disponibilité de notre flotte en garantissant une maintenance efficace des véhicules. * Veiller au bon fonctionnement des infrastructures, des équipements et des véhicules d'exploitation. * Garantir le respect des règles de santé, sécurité et prévention des risques. * Collaborer étroitement avec les équipes locales et internationales afin d'améliorer continuellement nos opérations. Votre profil * Vous disposez d'au moins 3 ans d'expérience en management d'équipes dans les secteurs de la logistique, des opérations, de la production ou d'un environnement similaire. * Vous aimez être présent sur le terrain et accompagner vos équipes au quotidien. * Vous êtes à l'aise avec le pilotage de KPI, la gestion budgétaire et l'amélioration continue. * Vous faites preuve d'autonomie, d'organisation et d'un fort esprit d'initiative. * Vous possédez d'excellentes qualités relationnelles et savez fédérer autour d'objectifs communs. * Vous parlez couramment français et anglais. * Vous êtes prêt(e) à passer la majeure partie de votre temps sur le site opérationnel. Pourquoi rejoindre Voi ? Rejoindre Voi, c'est bien plus qu'occuper un poste. C'est intégrer une entreprise européenne en forte croissance, évoluer dans un environnement international, bénéficier d'une grande autonomie et contribuer directement à rendre les villes plus durables. Chez Voi, vous aurez l'opportunité de : * Rejoindre le leader européen de la micromobilité. * Manager une équipe avec un véritable niveau de responsabilité. * Évoluer dans un environnement dynamique où aucune journée ne ressemble à la précédente. * Travailler avec des collaborateurs passionnés, bienveillants et ambitieux. * Avoir un impact concret sur la mobilité de milliers d'utilisateurs chaque jour. Participer activement à la création de villes plus propres, plus silencieuses et plus agréables à vivre. English version Do you have a passion for people and sustainability? Are you interested in shaping the future of mobility? Are you looking for a role with true impact? Then you’ve come to the right place.At Voi, we’re committed to transforming urban mobility at its core and since the launch in 2018, we have been on an amazing journey and have now become the #1 e-scooter operator in Europe! Currently operating in 13 countries and more than 100 cities, Voi continues to grow and we’re currently looking for a Fleet Manager.  The Fleet Manager is responsible for the day-to-day in-field and warehouse operations for Paris. You will also be responsible for the fleet of vehicles and the facilities required to run the local operations, both on the streets and in the warehouses. Are you ready to join the Voiage? THE VOIAGE * Set up and continuously improve operational workflows by applying best practices while localising and contributing new improvements to the wider fleet management community * Responsible for smoothly running operations, including field logistics, repair operations and facility management - both in daily operations and negotiations with landlords. * Drive operational excellence through continuous monitoring of KPIs and taking immediate action where necessary to improve performance, together with your team * Own the delivery of defined targets for the operation in your city or region, including budget goals around the costs of operating * Recruit, onboard and engage required roles to keep the business running all year round * Be planful and creative with workforce and facilities capacity planning to achieve the lowest cost of operating possible * Make the most out of every vehicle - through your local fleet team, keep all of our vehicles on the street available for our users as many hours of the day as possible * Foster a collaborative and friendly working environment while driving best-in-class performance * Ensure a safe work environment, ensuring that our operational vehicles, facilities, and personnel adhere to set Health & Safety guidelines and policies WHAT YOU’LL NEED TO EMBARK * 3-5 years of experience in operations, logistics, production or similar * Experience managing a large team of people * Understanding of business management, financial principles and MS Office, G-Suite * You are fluent in French and English * Excellent communication skills and experience interacting with senior stakeholders * Problem solving skills * Able to work and structure your work independently with little management oversight * You are able to be on the warehouse site up to 90% of your time and travel to the markets/warehouses which you are responsible for when needed WHY VOI? Working at Voi is more than just a job; Our People Promise includes a personal Voiage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this, you’ll have the opportunity to: * Join Europe's #1 micromobility company * Active schedule, you may be consistently on the move. * Work with inspiring, motivated and fun colleagues towards a common goal * Join the micromobility-revolution and be a part of creating sustainable cities made for living, free from noise and pollution

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE AND ANALYTICS The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products, and measure impact on our community of players and developers. In Data Science & Analytics, you will contribute to horizontal ML systems and infrastructure that enable us to understand the trajectory of users and creators as well as the overall business to inform investment opportunities and accelerate our growth. These systems inform experiment decision making, product roadmaps, and execution risk on our road to connecting one billion users.  You Will:  * Develop, build, and support large scale forecasting systems for business growth * Develop, build, and support modeling of long-term user outcomes * Design and implement batch prediction infrastructure that ensures high-levels of accuracy, provides explainability, and quantifies uncertainty * Collaborate with data science and product partners to unlock causal understanding of our business growth and to develop scalable solution for measuring ecosystem health * Model and promote a high bar for technical excellence in the broader data science and ML community. * Communicate strategic findings to influence company and team-level roadmaps * Partner with Data Engineering and Data Platform teams to ensure model development, reporting, and monitoring systems are built in a reliable and robust way.  You Have:  * 5+ years of industry experience in prototyping and building scalable machine learning solutions. * Experience building scalable and robust ETL data and ML pipelines with complex upstream dependencies and accountability for downstream consumers * Experience with time series modeling in practice and theory. Experience with foundational time series models (i.e. transformer based) and fine tuning frameworks. * Demonstrated ability to lead project areas from scratch, and break product requirements into iterative deliverable stages. * Strong communication skills to connect model outputs to company-level strategy and to integrate horizontal solutions into vertical team operations and systems. * An Advanced Degree (MSc or PhD) or equivalent degree in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $263,670—$322,820 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Databricks

CSQ126R22 As a Training & Operations Manager, you will build and scale a predictable, AI-enabled learning operations engine across APJ that transforms regional execution into disciplined, data-driven, revenue-aligned outcomes. As the operational backbone of the region, you will design systems, not just manage processes, ensuring APJ training operations scale with clarity, control, and commercial rigour. The impact you will have: * Architect and run a scalable, data-driven operating cadence across APJ, including forecasting, QBRs, capacity planning, and executive reporting. * Partner with Sales, Professional Services, and Learning & Enablement leaders to translate global strategy into executable regional plans. * Reduce operational friction by embedding automation, predictive analytics, and AI-first workflows into intake, scheduling, and performance tracking. * Improve forecast accuracy and operational predictability by identifying risks early and driving structured corrective action. * Lead high-priority escalations with discipline and composure, converting recurring issues into systemic improvements. * Increase stakeholder self-sufficiency by shifting standard operational requests into automated, AI-enabled pathways. * Standardize governance frameworks, decision rights, and ownership models to ensure consistent regional execution aligned with global standards. * Optimize regional utilization and fill rates while maintaining cost discipline and delivery quality. * Elevate operational maturity across APJ by driving adoption of data-driven practices and structured execution frameworks. What we look for: * 10+ years of experience in Consulting, Sales Operations, Business Operations, Enablement Operations, or Professional Services Operations within high-growth technology companies. * Proven experience owning regional operating cadence, forecasting frameworks, and large-scale execution models. * Strong commercial fluency, including understanding of utilization, forecast variance, and revenue discipline. * Experience implementing automation, analytics, or AI-driven workflows to improve efficiency and predictability. * Analytical rigor with the ability to translate data into executive-level insight and actionable recommendations. * Experience operating in matrixed, international environments with sensitivity to regional and cultural nuances. * A structured, systems-oriented mindset with the ability to balance speed, governance, and scalability. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

CSQ327R104 You will build and lead a team of Delivery Solution Architects (DSAs) responsible for the post-sales success of Databricks' largest Financial Services customers. This is one of the most consequential delivery leadership roles in the company. The customers in your portfolio anchor a strategic vertical for Databricks, and your team's work directly determines how quickly Data and AI transforms how they do business. As a DSA Manager you set the technical strategy across your portfolio, decide where to invest your team's capacity, and partner with Sales, Pre-Sales, Professional Services, and our Systems Integrator ecosystem to move use cases from kickoff to production. You are a hands-on technical sponsor and trusted advisor to a select group of customers, including their C-suite. You build the systems, operating cadences, and playbooks that make your team and the broader DSA practice sharper over time. The DSAs you lead are senior technical talent, drawn from principal-level solution architecture, top-tier consulting, or senior engineering backgrounds. Hiring, coaching, and growing this team is the heart of the job. The impact you will have: * Hire, coach, and develop a high-performing DSA team. Own career growth, calibrated performance management, and individual development plans. * Own capacity planning and investment forecasting across the FINS portfolio. Defend investment decisions with data, alongside sales and field leadership. * Partner with Sales, Pre-Sales, Professional Services, and Systems Integrator partners to accelerate use case delivery and reduce customer risk. * Drive measurable customer outcomes: use-case throughput, time-to-production, consumption growth, and renewal rates. Forecast each across your portfolio. * Bring a programmatic approach to running the business. Build the systems, operating cadences, and playbooks that scale the DSA practice. * Shape and promote the value proposition of the DSA role with our internal partners and our customers. What we look for: * 5+ years of experience managing a customer-facing technical team (DSA, Solution Architect, Technical Account Manager, Customer Success Engineer, or equivalent). * Demonstrated leadership of a team of pre-sales or post-sales technical talent. * Track record of putting data and AI workloads into production at scale, e.g., as a delivery architect, project manager, DevOps engineer, or service or product owner. * Conversant with the business problems and Data and AI use cases in financial services (banking, capital markets, insurance, or asset management preferred). * A bias for building systems, not just running them. A bias for growing people, not just managing them. * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $197,100—$270,975 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Gitlab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role   The Senior Lifecycle Marketing Manager is responsible for strategizing, executing, and optimizing data-driven lifecycle communications for GitLab’s product-led and self-service audiences. This role collaborates with Product Growth, SMB Sales, Marketing Ops, Data, Product Marketing, Campaigns, and regional teams to plan and prioritize programs that engage free, trial, self-managed, and self-service users and guide them toward activation, conversion, and revenue growth. They will focus on leveraging audience data, product signals, cross-team collaboration, and continuous testing to improve lifecycle performance and scale effective programs.   What You’ll Do * Create, monitor, and improve automated lifecycle journeys and triggers with static and dynamic content to help educate, activate, and convert product-led and self-service users. * Lead the creation and implementation of lifecycle campaigns from conception through execution, including planning, copywriting, segmentation, testing, QA, launch, and performance optimization. * Develop programs that support free-to-paid, trial-to-paid, self-managed-to-paid, and sales-assisted conversion paths. * Lead lifecycle campaigns from planning through launch, including copywriting, segmentation, testing, QA, execution, and performance analysis. * Partner with Product Growth, SMB Sales, Marketing Ops, Data, Product Marketing, Campaigns, and regional teams to align on audience strategy, messaging, handoffs, and measurement. * Use performance insights to identify gaps, recommend improvements, and continuously optimize lifecycle programs. * Act as an email marketing SME, helping the team apply best practices across creative, segmentation, personalization, deliverability, testing, and execution.   What You’ll Bring * 5+ years of lifecycle, email, CRM, or growth marketing experience, preferably at a B2B SaaS or product-led growth company. * Strong experience building and optimizing nurture programs, automated journeys, and trigger-based lifecycle campaigns. * Experience supporting onboarding, activation, engagement, conversion, or self-service revenue programs. * Expertise in Marketo or Iterable, including audience segmentation, smart lists, email templates, dynamic content, testing, and QA. * Strong email marketing expertise, including copywriting, editing, personalization, experimentation, and performance optimization. * Experience using campaign, funnel, or product engagement data to identify opportunities and improve results. * Strong cross-functional coordination skills, with experience partnering across Growth, Sales, Marketing Ops, Data, Product Marketing, and regional teams. * High attention to detail across audience logic, segmentation, QA, personalization, localization, and reporting. * Working knowledge of HTML and CSS for email design or troubleshooting. About the team The Lifecycle Marketing team creates personalized, scalable programs to engage prospects, customers, and users at every stage of their journey. Our goal is to showcase GitLab's value, empower effective product use, and drive meaningful connections through touchpoints like sales meetings, events, and webinars. We own the email channel, one of GitLab's most effective tools for communicating with our diverse audience of developers, IT professionals, and business leaders. We operate at the intersection of data, creativity, and user experience, with team members dedicated to nurturing prospects, converting self-service users, and expanding relationships with existing customers. This is an exciting time to join: we're growing our investment in lifecycle as a revenue driver, and you'll have real input in shaping how we build and scale these programs. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200—$194,400 USD HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off  * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave  Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.   Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Gitlab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. AN OVERVIEW OF THIS ROLE As a Professional Services Program Manager at GitLab, you will lead the delivery of complex, multi-workstream services engagements for some of our largest and most strategic customers. You will help customers turn transformation goals into clear execution plans by bringing structure, visibility, and accountability across interconnected projects. Working closely with customer stakeholders and GitLab team members, you will guide programs from planning through delivery while building trusted relationships across executive, technical, and delivery teams. In this role, you will define and apply a strong delivery methodology grounded in agile and project management best practices, communicate that approach clearly, and keep teams aligned on milestones, dependencies, and outcomes. This is a strong opportunity to shape how customers adopt GitLab at scale and help them realize meaningful business value through effective program leadership. WHAT YOU'LL DO * Lead delivery of multi-workstream professional services engagements for large and strategic customers, maintaining a consistent focus on measurable customer outcomes and business value realization throughout the program lifecycle * Build strong relationships with customer stakeholders, including executive leaders, program and project managers, engineering, development, and security teams * Develop and apply a delivery methodology that uses agile and project management best practices, and communicate how the methodology will be used throughout the program * Create and continuously communicate program roadmaps, dependencies, milestones, and deliverables across connected projects * Manage stakeholder expectations and secure approval on major milestones, decisions, and delivery plans — including proactive identification and mitigation of risks that could impact delivery timelines, scope, or customer outcomes * Define program strategy, including business justification, expected benefits, in-scope and out-of-scope work, timelines, schedules, resources, stakeholders, and success criteria * Establish core program structures such as RACI charts, work breakdown structures, communication plans, and escalation paths * Develop and maintain revenue forecasts for assigned programs, partnering with Engagement Managers to track actuals against plan, flag variances early, and support accurate business reporting * Lead change management activities across programs, including identifying organizational impacts, developing adoption plans, and ensuring customers are prepared to sustain the outcomes delivered * Work closely with Engagement Managers and Delivery Managers to support program scoping, review delivery assumptions, and help improve project management processes through quarterly initiatives WHAT YOU'LL BRING * Experience leading complex programs with multiple interdependent projects, stakeholders, and timelines — ideally in an external, billable professional services or consultancy environment rather than internal program management alone * Strong skill in program planning, forecasting, reporting, and communicating delivery metrics clearly to internal and external stakeholders * Top Secret Security Clearance a plus * PMI Certification(s) or similar industry certifications a plus * Ability to organize, monitor, and manage long-term project budgets, schedules, risks, and dependencies * Proven ability to build collaborative relationships with customers and partner effectively with Engagement Managers, Architects, and delivery teams * Working knowledge of agile and other project management approaches, with the judgment to apply the right structure to different customer needs * Ability to develop long-term plans that support customer adoption, transformation, and successful delivery outcomes * Domain familiarity with one or more of the following: data migrations, software implementations, IT application modernization or transformation, or end-user training programs; experience with DevOps tooling or platforms is a plus * A continuous improvement mindset, with a track record of collaborating with peers and leadership to identify inefficiencies, propose process improvements, and drive meaningful changes to delivery practices and team operations * Comfort leading program-level meetings and driving progress across multiple workstreams * Willingness to complete GitLab Project Management certification within 2 months of starting in the role ABOUT THE TEAM On our Professional Services team, we help customers adopt GitLab effectively by turning strategy into structured delivery. As Program Managers on our team, we bring clarity to large, complex engagements by coordinating people, plans, and processes across multiple workstreams. We work closely with customers, Engagement Managers, Architects, and delivery leaders to create practical plans, manage risk, and keep programs moving toward agreed outcomes. Because we operate in an all-remote, asynchronous environment, we value clear communication, strong documentation, and ownership. This role is well suited for you if you enjoy building order in complex environments, guiding stakeholders through change, and helping customers make progress on meaningful transformation efforts. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $92,880—$156,600 USD HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off  * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave  Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.   Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Gitlab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. AN OVERVIEW OF THIS ROLE As a Staff Backend Engineer on GitLab's Events & Messaging Platform team, you'll be a foundational technical leader on a high-visibility infrastructure initiative that sits underneath nearly everything GitLab ships. GitLab runs two separate systems for async work today — Sidekiq for short-lived background jobs and a purpose-built event bus for longer-running workflows. This role consolidates both into a single durable, scalable messaging and event-processing platform that powers GitLab's first-party products and underpins third-party integrations like webhooks and external triggers. You'll bridge architecture and execution — owning the design of a genuinely multi-tenant distributed system, breaking it into work the team can deliver, and solving the hard problems along the way. You'll bring strong instincts around durability, tenant isolation, and horizontal scalability — telling a design that's durable from one that only looks durable under light load — and own reliability end to end. A defining challenge is migrating existing production workloads off the legacy systems without disrupting the traffic they carry. WHAT YOU'LL DO * Lead technical execution on the CD platform: decompose complex architectural designs into well-scoped, deliverable work and drive the team to ship with quality and confidence. * Solve high-complexity engineering problems and contribute architectural feedback that shapes how the system evolves. * Set and maintain the technical bar across the codebase through code review, mentorship, and example. * Mentor engineers at all levels, helping them grow their technical capabilities and navigate difficult problems. * Represent the CD team in cross-functional engineering discussions and contribute to written technical proposals and architectural documents. * Participate in on-call rotations to help ensure GitLab.com availability targets are met. WHAT YOU'LL BRING * Deep professional experience building backend services in Go, with a track record in high-scale production environments. * Demonstrated expertise in distributed systems design, including durable workflow execution, state persistence, and event-driven architectures. * Extensive experience leading or contributing to release orchestration, deployment automation, or continuous delivery systems at scale. * Extensive hands-on experience with Docker and Kubernetes at production scale, including progressive delivery patterns such as blue/green and canary deployments. * Strong familiarity with GitOps workflows and tools in that ecosystem. * Experience with policy-based governance in software delivery systems. * Proven ability to translate complex architecture into clear, executable engineering work across a team. * Demonstrated ability to incorporate AI tools into daily engineering workflows to drive efficiency and quality. * Exceptional written and verbal communication skills, with a bias toward async, documentation-first practices. * Self-motivated and self-managing, with strong organizational judgment and a constructive approach to ambiguity. NICE TO HAVE * Experience with AI engineering or building AI-integrated product features. * Ruby on Rails experience. ABOUT THE TEAM The Events & Messaging Platform team is being built out within GitLab's Infrastructure Platforms org to take on one of the most foundational rebuilds on the platform. You'll work closely with the product and integration teams that consume it, shaping your guarantees around what they actually need, in a collaborative, async-first environment where engineers own outcomes. With the platform spanning Self-Managed, Dedicated, and SaaS, you'll reason about reliability across every way GitLab is deployed — a rare chance to define the technical foundation nearly all of GitLab depends on. HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off  * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave  Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.   Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox, we’re building the tools and platform that empower a global community of creators and developers to build immersive experiences and a dynamic virtual economy. Our Economy ML team sits at the heart of this mission, delivering scalable machine learning systems that power personalization, pricing, search, and content understanding across all Economy surfaces: Marketplace, Developer Monetization, Payments, and Avatar. We’re looking for a Distinguished Engineer/Technical Director to lead the strategy and technical direction for ML systems, with a focus on large-scale recommendations, infrastructure, and emerging Generative AI applications. You’ll help build the systems that support retrieval, ranking, generative modeling, and LLM-powered personalization, all at massive scale. This role requires deep systems thinking, hands-on ML expertise, and a vision for how traditional ML and GenAI come together to power the future of the Roblox economy. WHY ROBLOX FOR ML SYSTEMS * AI/ML is a top company priority, with long-term investment. * Real-world scale: Power millions of daily economic interactions across ranking, pricing, fraud, and search. * Full-system ownership: Build and optimize end-to-end ML pipelines; from data ingestion to GPU training to live inference. * Complex surfaces, rich signals: Design systems for 3D content, UGC, avatar metadata, behavioral and economic signals, not just text or images. * Impact meets innovation: Shape the future of the Roblox economy while working on frontier ML infra and GenAI workflows. YOU WILL: * Set the technical direction for ML systems powering core economy experiences: personalization, ranking, generative modeling, and more * Build and evolve infrastructure for training, serving, and evaluating both traditional ML models and Generative AI models (e.g., embedding-based retrieval, transformers, LLM-based workflows) * Partner with GenAI teams to explore multi-modal embeddings, avatar generation, and retrieval-augmented generation (RAG) in economic surfaces Lead efforts to optimize ML system performance: low-latency serving, efficient GPU training, and cost-aware inference strategies * Guide the development of robust ML pipelines, online feature stores, and experimentation platforms that support both predictive and generative use cases * Collaborate with EMs, tech leads, and product partners to align technical architecture with business priorities * Mentor senior engineers and help establish a strong technical culture across the Economy ML team * Ensure robustness, observability, and scalability of ML systems that power millions of daily economic interactions * Own the architecture behind some of Roblox’s most foundational ML systems * Work across groups at Roblox to advance the state of ML/AI at the company. * Help scale a fast-growing ML organization and define Roblox’s future economy intelligence stack * Solve real-world problems with real user impact, powering millions of personalized, intelligent economic interactions every day YOU HAVE: * 10+ years of experience in software engineering or ML infrastructure, with a strong focus on large-scale ML systems * Deep expertise in building recommendation systems, ranking infrastructure, or real-time personalization engines * Hands-on experience with Generative AI, such as transformer-based models, LLMs, embeddings, or RAG pipelines * Proven experience with distributed training, model deployment, and GPU-accelerated workflows * Strong understanding of ML system architecture: data pipelines, feature stores, inference optimization, experimentation tooling * Systems-first mindset with strong instincts around scale, cost, performance, and reliability * Track record of leading large technical initiatives and mentoring senior engineers * BS, MS, or PhD in Computer Science, Machine Learning, or a related field For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $397,460—$455,720 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. With Roblox’s daily active users growing at a record pace, we are seeking experienced machine learning researchers who thrive on solving complex challenges and designing scalable, ground breaking solutions. In this role, you will innovate on LLMs, VLMs, autoregressive models, or other large models for user understanding, content understanding, recommendation, and agentic search. Your work will lay the foundation for personalizing user experiences, enhancing engagement and retention, and driving growth within the creator ecosystem. In search and discovery, you will contribute to the core systems that enable users to discover and interact with experiences across Roblox. These systems drive exploration and engagement across all surfaces, helping users find relevant and exciting content. Looking ahead, our team aims to innovate further by developing auto-generated summaries, images, and videos from experience content to improve discoverability and inspire user exploration. Our mission is to connect a billion users with the best content and connections at the right time, tackling diverse challenges in advertising, search, and discovery at an unprecedented scale. Join us and play a pivotal role in shaping the future of Roblox’s search and discovery. YOU WILL: * Design and implement the machine learning solutions that power agentic search and discovery systems to drive Roblox content distribution. * Design and implement large scale recommendation models. * Design and implement LLMs and VLMs for visual understanding and natural language understanding. * Balance researching new technologies with a practical approach to integrate research efforts into the Roblox products. * Collaborate with other teams within Roblox to make sure we are building products with a community first approach. * Communicate with the industry and communities where applicable and be ambassador for Roblox. YOU HAVE: * You have 7+ (for principal) or 4+ (for senior) years of experience designing and building scalable machine learning solutions. Experienced with transformer based model training, inference, and product integration. Break down product requirements into iterative deliverable stages. * You have a BS, MS, or PhD in Computer Science or a related discipline or equivalent experience. * You have initiated and facilitated challenging technical decisions across multiple teams and organizations. * While deeply technical, you always start with the needs of the user, whether they are Roblox users or internal engineers. * A creative and strategic approach to solving hard problems. You simplify the complex. You bring in fresh ideas from new places. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $278,530—$345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Economy ML team sits at the center of this mission. We build ML and AI systems that power personalization, search, pricing, recommendations, and virtual item intelligence across Roblox Economy surfaces, including Avatar Marketplace, Payments, Developer Monetization and Subscriptions. As Roblox continues to invest deeply in AI and ML, this organization also plays a key role in advancing next-generation AI capabilities across the company through close partnership with Discovery, Foundation AI, Engine, Creator and product engineering teams. Our work spans both product impact and foundational ML innovation at Roblox scale. We are looking for a Director of Engineering to lead and scale Economy ML. This leader will define the strategy, organization, and execution model for a fast-growing ML organization spanning recommendation systems, ML infrastructure, search, content intelligence, and Generative AI applications. Why Roblox for ML/AI * AI/ML is a top company priority, with strong executive support and long-term investment. * Massive real-world scale: Millions of users, creators, and economic interactions every day. * Unique technical challenges: Recommendations, pricing, fraud, search, and content understanding and generation across 3D assets, avatars, UGC, and virtual economies. * End-to-end ownership: Drive strategy and execution from modeling and infrastructure to production impact. * Frontier innovation: Apply modern ML and GenAI techniques to problems that do not exist anywhere else in the industry. YOU WILL  * Define and lead the long-term strategy for Economy ML across core modeling, recommendations, search, pricing, content intelligence, and ML systems. * Build and scale a high-performing ML engineering organization, including managers and senior ICs. * Partner across teams to help advance shared AI technologies, infrastructure, and modeling capabilities that power experiences throughout Roblox. * Lead investments in next-generation ML systems, including large-scale recommendation models, foundation models, semantic retrieval, and Generative AI workflows. * Establish scalable ML development practices across experimentation, feature engineering, model serving, training infrastructure, and evaluation. * Drive adoption of modern ML architectures including transformers, multi-task learning, retrieval systems, and multi-modal modeling. * Partner with senior leadership to align technical investments with long-term business strategy and company priorities. * Mentor engineering leaders and cultivate a strong technical and execution culture across the organization. * Balance innovation and execution across both near-term product impact and long-term platform investments. YOU HAVE * 12+ years of software engineering experience, including significant leadership experience managing engineering organizations. * Experience leading teams focused on machine learning, recommendation systems, search, ranking, or large-scale distributed systems. * Strong technical depth in ML systems, infrastructure, and modern machine learning architectures. * Experience with recommendation systems, marketplace/e-commerce ML, search, or ads systems. * Experience with Generative AI, LLMs, multi-modal models, or foundation model architectures. * Experience operating at large scale, including high-throughput inference systems, distributed training, or real-time personalization platforms. * Proven ability to drive cross-functional initiatives across multiple teams and organizations. * Strong product and business intuition with a track record of delivering measurable impact. * Experience hiring, developing, and retaining strong engineering talent and leaders. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $399,420—$457,970 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Cloudflare

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.  At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. AVAILABLE LOCATIONS * Austin, US ABOUT THE ROLE Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. As a Models Engineer at Cloudflare, you will be the technical heartbeat of our AI community, bridging the gap between cutting-edge models and the developers building on our platform. You'll work directly with model creators and research teams to bring new models to Cloudflare, while simultaneously educating and inspiring our global developer base. We're looking for someone who can navigate a technical partnership call in the morning and debug a developer's issue on Discord in the afternoon. RESPONSIBILITIES * Model Partnerships & Integration: Identify and evaluate promising new models. Work directly with external model teams — research labs, open-source maintainers, and partner organizations — to bring their work to Cloudflare. Serve as the technical point of contact through integration and launch. * Technical Content & Education: Author tutorials, technical blog posts, and documentation that help developers understand and adopt our AI offerings. Make complex concepts accessible. * Community Engagement & Support: Actively participate in developer communities like Discord. Provide technical support, gather feedback, and build relationships with developers and contributors. * Engineering & Prototyping: Build demos, sample applications, and reference implementations that showcase what's possible with Cloudflare's AI infrastructure. * Internal Product Advocacy: Synthesize feedback from developers and model partners into actionable insights for Product and Engineering teams. Influence roadmap, API design, and feature prioritization. * Event Representation: Present at conferences, meetups, and online events through technical talks, workshops, and live demonstrations. DESIRABLE SKILLS, KNOWLEDGE, AND EXPERIENCE * Technical Depth: Strong experience with Python and ML frameworks (PyTorch, Hugging Face Transformers and Diffusers, Cog). Solid understanding of how models work and how to work with them. * Content Creation: Portfolio of technical writing — blog posts, documentation, tutorials — that demonstrates clear explanation of complex topics. * Public Speaking: Experience presenting technical content at conferences, meetups, or through video content. * Community Presence: Active participation in developer communities. You're visible, helpful, and engaged. * Partnership Experience: Track record of working with external teams — whether open-source maintainers, research groups, or partner engineering teams. * Prototyping Ability: Can build end-to-end applications that integrate models and serve as examples for developers. BONUS POINTS * Familiarity with Cloudflare Workers or serverless/edge architectures. * Full-stack experience (JavaScript/TypeScript) for building complete applications. * Experience with model fine-tuning or vector databases. * Background in ML research or contributions to model development. * Experience with image, video, or audio models. COMMON DAILY ACTIVITIES * Call with a model team to discuss integration requirements for an upcoming release. * Troubleshooting a developer's issue in Discord or triaging GitHub issues. * Writing a blog post on performance characteristics of a newly launched model. * Collaborating with Engineering on how an API change will affect the developer experience. * Building a demo application for an upcoming launch. * Reviewing community feedback and distilling it into product recommendations. APPLICATION MATERIALS * Resume/CV * Portfolio: GitHub, blog, or links to talks and technical writing What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Databricks

P-984 Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI development. Introduced in 2023, Mosaic AI’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all. Now part of Databricks since July 2023, we are passionate about enabling our customers to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI platform so our customers can use deep data insights to improve their business. We leap at every opportunity to solve technical challenges, striving to empower our customers with the best data and AI capabilities. Summary:  Databricks Mosaic AI is hiring experienced machine learning platform engineers to build out our customer-facing generative AI platform for the ML development lifecycle including data generation, training, evaluation, serving, and agent-building. You will thrive in this role if you have a strong sense of end-to-end ownership and enjoy translating user requirements into product interfaces and building the backend distributed systems to power those interfaces. In this role, you will have the opportunity to contribute to all areas of our stack spanning from user-facing features to low-level GPU orchestration. You will: * Play a key role in the end-to-end design and implementation of our product which is a platform for powering use cases across training and serving of generative AI models * Work closely with both customers and internal ML researchers to identify key areas of development for our generative AI platform * Have strong end-to-end product ownership, translating product requirements into user interfaces and backend distributed system design and own end-to-end implementation * Design and build the core platform infrastructure that supports our customer-facing product features * Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product We look for: * 4+ years of hands-on programming experience with at least one modern language such as Python, Scala, Go, or C++ * Strong sense of distributed systems design and experience building large-scale systems * Experience building ML platform systems for applications in the ML model development lifecycle such as data preparation, model training, model evaluation, and model serving * Direct experience developing ML models is a plus but not required * Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability * Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders. We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $166,000—$225,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

(P-1490) Databricks processes petabytes of data and billions of transaction events daily - every cluster launch, every query executed, every dollar billed flows through infrastructure that must never fail. When we process billions in billing transactions with 99.999% accuracy requirements, when we ingest terabytes per second across 100+ regions, when a five-minute outage costs millions in revenue and customer trust - infrastructure isn't just important, it's existential. The next phase of our growth demands disaster recovery systems that prove reliability rather than hope for it, testing frameworks that catch production-scale problems before deployment, correctness guarantees that make billing errors structurally impossible, and automation that scales operations sublinearly with growth. In this leadership opportunity, you will build the data infrastructure organization that makes Databricks' continued growth possible. You'll establish foundational teams in Bengaluru owning the bedrock systems that guarantee billing correctness, operational resilience, and zero-downtime recovery across our entire monetization stack, alongside multi-region data ingestion, developer platforms, and deployment automation that eliminate friction at petabyte scale. This isn't about maintaining what exists; it's about architecting the infrastructure that enables Databricks to scale while reducing operational burden. You'll define what world-class infrastructure looks like for the next decade of data platforms. You will pursue these challenges as a founding technical leader in our fastest-growing engineering hub and strategic partner to global infrastructure leaders. In addition to building world-class teams, you will shape architectural decisions that ripple across the company and champion infrastructure-as-product thinking that transforms infrastructure into force multipliers globally. You'll work in an engineering culture born from Apache Spark and open source, where technical depth matters and infrastructure engineers are celebrated as craftspeople. The perfect candidate has built infrastructure organizations at companies where five nines weren't simply aspirational, where petabyte-scale wasn't marketing but Monday, and where the infrastructure team's technical leverage determined whether the business could scale or stall. You have the technical depth to debate data architecture, the strategic vision to define multi-year platform roadmaps, the leadership craft to build teams that top engineers want to join, and most importantly, the conviction that data infrastructure done right doesn't just support the business; it defines what's possible. The impact you’ll have: * Deliver the infrastructure vision for systems processing billions in daily billing transactions with zero tolerance for error, building disaster recovery that's provably reliable, testing frameworks that catch what production sees, correctness systems that make billing errors structurally impossible, and observability that predicts failures before they happen * Build Bengaluru's data infrastructure organization by establishing it as the destination for India's top infrastructure talent, hiring multiple engineering managers who become force multipliers, and creating a culture where solving hard distributed systems problems at scale is the daily work * Own business-critical systems operating 24/7/365 across 100+ regions where even 99.9% uptime means hours of customer pain, driving reliability improvements that prevent millions in revenue loss while eliminating operational toil through frameworks that make systems self-healing, self-tuning, and self-documenting * Ship platforms that compound engineering leverage across Databricks: correctness frameworks that catch billing errors before customers do, deployment automation that makes regional expansion push-button, data integration systems that process petabyte-scale flows without human intervention, and testing infrastructure where comprehensive coverage is automatic, not heroic * Position infrastructure as product by treating internal engineering teams as customers with SLAs, measuring adoption and satisfaction, iterating based on feedback, and demonstrating that every dollar invested in infrastructure returns multiplicative gains in product velocity, reliability improvements, or cost reductions What you’ll need: * 14+ years in distributed systems engineering with 6+ years leading infrastructure organizations and 4+ years managing managers at companies where infrastructure failures meant immediate revenue impact, customer escalations, or regulatory consequences - and you built the systems and teams that made those failures rare * Technical depth across petabyte-scale data pipelines and distributed systems reliability where you can engage from "how should we architect multi-region disaster recovery" to "why is this Kafka cluster exhibiting this latency pattern" while knowing when to coach versus when to decide * Track record defining multi-year infrastructure vision and translating it into sequential deliverables that show value quarterly while building toward architectural end states, positioning infrastructure investments as business enablers rather than cost centers, and making build-vs-buy decisions that compound over time * Experience building 99.999%+ reliable systems with established practices for SLOs/SLIs, chaos engineering, disaster recovery, and sophisticated observability that predicts failures before they happen * Proven ability to scale infrastructure organizations in high-growth environments where you've doubled engineering while maintaining quality bar, developed engineering managers, and created teams where retention is high because the problems are interesting and the culture is strong * Communication skills to make complex infrastructure decisions legible to executives (translating technical investments into business outcomes), influence cross-functional partners without authority, build trust across global teams in different timezones with different working styles, and represent Databricks' technical brand externally * BS in Computer Science or Engineering; MS or Ph.D. preferred. Experience with Apache Spark, Delta Lake, large-scale data infrastructure, fintech/billing systems, or leading infrastructure through hypergrowth strongly preferred About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Coupang

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview As our Staff Machine Learning Engineer for Coupang Media Group, Ads Quality, you will be responsible for developing, designing machine learning models, optimization algorithms and new product features for our advertising platform. The Coupang Media Group (CMG) is responsible for providing vendors that sell their products on Coupang a host of marketing products and services. We launched Product Ads performance advertising marketplace late in 2018. We have grown rapidly to over 10,000 active advertisers and 150M daily ad impressions in only 5 months’ time. Our group is responsible for advertising brands and products inside our e-commerce website. To get an idea of how valuable that is, both Alibaba and Amazon make more money on advertising than on selling products. This is an opportunity to be part of building up a new development organization with strong revenue potential inside a successful company. We’re building full-stack engineering teams to handle large scale advertising problems, including real-time behavioral targeting, auctioning and bidding systems and search based advertising. We are in the growth phase of the organization, so you’ll be a part of managing the transition from growth phase to enterprise processes. In this role you will be responsible for innovating and building our new ad quality stack for our ads platform and eventually extend it into a full ad exchange, DSP, and SSP. We currently handle about 1bn impressions per day from internal traffic alone. What You Will do * Design features and build large-scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement * Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search * Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning * Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence * Define and track key performance metrics to evaluate model impact and identify high[1]leverage opportunities for improvement * Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience * Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning Basic Qualifications * Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields * 6 years of professional experience in applied machine learning * Experience in machine learning, deep learning, and statistical modeling * Proficiency in Python and/or Java, with experience in building production grade ML systems Preferred Qualifications * Master’s or PhD in relevant technical fields * Experience with search systems, information retrieval or recommendation engines * Experience with LLMs, embeddings, and vector search technologies * Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker * Experience working in startup or high-growth environments * Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization * Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, and H2o.ai * Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker * Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders * Demonstrated ability to work independently and manage ambiguity in fast-paced environments Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for Staff position ranges from $164K/year to $282K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits * Annual bonus is 0-20% of the base salary * Medical/Dental/Vision/Life, AD&D insurance * Flexible Spending Accounts (FSA) & Health Savings Account (HSA) * Long-term/Short-term Disability * Employee Assistance Program (EAP) program * 401K Plan with Company Match * 18-21 days of the Paid Time Off (PTO) a year based on the tenure * 12 Public Holidays * 6 weeks Paid Parental leave * Pre-tax commuter benefits * MTV - [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Recruitment Process and Others Recruitment Process * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com. Requisition ID: R0073011