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Databricks

GAQ327R142 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks is seeking a Senior Financial Analyst to join our Corporate FP&A team. In this role, you will report to the Senior Finance Manager / Director of Corporate FP&A and help empower the broader FP&A organization. You will play a key role in building and managing core strategic planning processes, as well as partnering with leaders across functions to support budgeting, forecasting, and ongoing financial management.  The impact you will have: * Support long and short-term planning processes, including: * * Ownership of the planning calendar with clearly communicated timelines, deliverables, and expectations with all planning stakeholders * Ensuring system snapshots are completed accurately and on time * Building driver-based financial models to optimize resource allocation * Preparing executive-ready materials, including financial models, scenario analyses, and presentations * Support financial modeling for capital raising and coordinate across FP&A, Investor Relations, and Treasury * Support the development of Executive and Board reporting materials, ensuring accuracy and clarity of financial insights * Manage ad hoc analyses and strategic projects to support senior leaders across Finance and Investor Relations * Identify and lead process and system optimization initiatives, including opportunities for automation What we look for: * Masters in Business Administration from a top tier program * Bachelor's Degree in Business, Finance, Accounting, or a related field * 4+ years of experience in corporate finance, management consulting, or investment banking; experience in the software or SaaS industry is a plus * Advanced proficiency in Google Sheets or Excel, including the ability to build and maintain complex financial models * Leverage best-in-class AI to upskill and architect sophisticated, model-driven solutions. * Utilize data to uncover outcome driven insights. * Ability to grasp the strategic ‘big picture’. * Strong communication skills and the ability to prioritize and manage multiple objectives in a fast-paced environment while meeting deadlines * Understanding of the three statement financial model   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.   Zone 1 Pay Range $137,400—$189,000 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

MKTQ227R30 Agentic AI has taken the world by storm and Databricks is proud to be a leader in this space. With a data-centric approach to AI, Databricks enables customers to build-high quality AI agents and applications.  As Director of Product Marketing for Databricks AI, you will lead the marketing strategy across Agent Bricks, our enterprise agent platform, and core machine learning products. Reporting to the Senior Director of Product Marketing, you’ll define and execute marketing strategies that drive AI adoption, enable sales and partners, generate pipeline for AI products, and drive developer adoption of AI. Partnering closely with product, sales, and marketing teams, you’ll translate product innovation into clear market narratives, compelling customer content, targeted campaigns, and impactful product launches. The impact you will have: * Own the marketing strategy and planning for Databricks AI products * Build and land collateral for key channels across sales, partner, and demand generation, including content campaigns and events * Create an always-on go-to-market plan and pilot new programs with a strong focus on winning AI mindshare, driving pipeline, and product adoption  * Build a strong and collaborative partnership with product and engineering teams to launch new products * Increase global reach by working with field marketing, industry, events, and partner organizations to help scale the business globally * Build trust with customers and share their agentic AI customer stories What we look for: * 10+ years of technical product marketing experience in an enterprise software company * Experience with AI/ machine learning technologies * Strong understanding of AI decision makers and builders (developers, ML engineers), and experience in building relevant content for them * Portfolio of impactful marketing content, sales enablement materials and always-on GTM with proven results across the marketing funnel * Experience presenting at conferences and customer engagements * Preferred BS in Computer Science or Engineering, coupled with MBA   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 base 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 anticipated 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.   Zone 1 Pay Range $237,000—$325,800 USD Zone 2 Pay Range $213,300—$293,250 USD Zone 3 Pay Range $201,400—$277,000 USD Zone 4 Pay Range $189,600—$260,700 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

RDQ426R108 This role is open to candidates in the US (any location)  ABOUT THE TEAM The AI Security team at Databricks sits at the frontier of securing the AI/ML services in the Databricks platform. As we ship AI capabilities at the leading edge of the industry, including Agent Bricks, the Genie suite, AI Model Serving, MLflow, and Unity AI Gateway, the AI Security team ensures these systems are designed, built, and operated securely. Our work also extends to securing our own usage of AI: building the right guardrails that enable Databricks employees to innovate and deliver securely. The team combines offensive security depth with AI/ML engineering knowledge to identify novel threats, build scalable defenses, and influence how AI products are architected from the ground up. We lead AI Red Team exercises, build security tooling for AI workloads, and partner directly with AI Product teams to embed security into the development lifecycle.  --- THE ROLE As a Staff Security Software Engineer on the AI Security team, you are a senior technical leader who sets the standards for how Databricks secures its AI and ML capabilities. You combine deep offensive security expertise with practical knowledge of AI/ML systems to identify and drive resolution of the most significant security risks in Databricks' AI platform. You lead AI red team engagements against production AI systems, conduct security architecture reviews for complex, multi-system AI features, and build the tooling and frameworks that scale the team's impact. You are a subject matter expert in at least two AI security domains and you operate with significant autonomy- driving cross-team remediation, setting technical standards, and mentoring teammates in both offensive techniques and secure AI design. --- THE IMPACT YOU WILL HAVE AI RED TEAM & ADVERSARIAL TESTING * Lead AI red team engagements against Databricks' production AI systems, including Foundation Model APIs, Genie and natural language query systems, Model Serving infrastructure, MCP-connected agents, and RAG pipelines * Design and execute adversarial attack scenarios: prompt injection, jailbreaking, memory poisoning, cross-tenant data leakage in multi-tenant serving, and sandbox bypasses * Develop proof-of-concept exploits for AI-specific vulnerability classes and perform variant analysis to identify the full scope of exposure across the AI platform * Contribute to the evolution of the Databricks AI Security Framework (DASF), maintaining and extending the risk taxonomy, control library, and testing methodology as AI capabilities evolve AI PRODUCT SECURITY & ARCHITECTURE REVIEWS * Lead comprehensive security architecture reviews for complex AI features: threat modeling agentic workflows, RAG pipelines, multi-model serving chains, and MCP-based tool integrations * Partner directly with AI and ML engineering teams to identify security risks early in the design process and define practical, scalable controls * Assess and drive resolution of cross-cutting AI security risks: Unity Catalog permission enforcement in AI contexts, inference data isolation, model artifact integrity, fine-tuning pipeline security, and external model API governance via AI Gateway * Identify recurring security patterns across AI features; advocate for class-level architectural fixes rather than feature-by-feature point solutions AI SECURITY TOOLING & AUTOMATION * Design and build automated AI security testing tooling, including adversarial prompt libraries, agent behavior analysis frameworks, and continuous testing harnesses * Build AI-assisted automation that scales security reviews, threat modeling, and vulnerability triage for AI features * Develop and maintain security guardrails and enforcement mechanisms: LLM-as-judge review, prompt delimiting, output validation, rate limiting, and audit logging CROSS-TEAM REMEDIATION & STANDARDS * Set technical standards for how AI security risks are assessed, prioritized, and remediated across the engineering organization * Drive cross-team remediation for significant AI security findings, defining fix requirements, validating patches, and ensuring regression coverage in CI/CD pipelines * Produce high-quality threat models, security advisories, and post-mortems that inform organizational risk decisions for AI products MENTORSHIP & COMMUNITY * Mentor engineers on the AI Security team in adversarial ML techniques, AI threat modeling, and security tooling development * Contribute to internal knowledge assets, including training materials, design patterns, and threat model templates, that raise AI security fluency across the engineering organization * Represent Databricks in the external AI security community through publications, conference talks, or open-source contributions --- WHAT WE LOOK FOR * 7–10 years of combined experience in offensive security, AI/ML security research, or product security engineering, with demonstrated leadership in securing complex systems * Subject matter expert in at least two of the following AI security domains:   - LLM and generative AI security (prompt injection, jailbreaking, training data extraction)   - AI agent and orchestration security (MCP, memory sharing, multi-agent systems)   - ML infrastructure and serving security (model serving multi-tenancy risks, training infrastructure security)   - AI data governance and privacy (fine-grained access control, data residency, inference data isolation) * Demonstrated ability to design and execute adversarial attacks against production AI systems * Deep understanding of AI/ML platform architecture- how models are trained, served, and integrated, and where the trust boundaries between components lie * Expert in at least one major cloud platform (AWS, Azure, GCP) and its AI/ML security model * Proficient in Python; able to read and analyze ML model code, training scripts, and API serving code; working knowledge of at least one additional language (Go, Java, Scala, Rust) * Track record of driving cross-team AI security improvements and influencing product architecture decisions * Experience building automated security tooling for AI systems * Strong communicator- translates AI security risks into actionable guidance for engineers, product managers, and leadership * Pragmatic approach to risk- distinguishes real-world exploitable AI risk from theoretical concerns NICE TO HAVE * Published research on AI/ML security topics or experience presenting at AI security venues (DEF CON AI Village, NeurIPS workshops, Black Hat) * Experience with OWASP Top 10 for LLMs, MITRE ATLAS, or similar AI security frameworks * Familiarity with MLflow, Unity Catalog, Delta Lake, or Databricks platform internals * OSCP or equivalent offensive security certification * Academic or research background in machine learning, adversarial ML, or AI safety --- WHY DATABRICKS On the AI Security team, you'll work on a class of security problem that didn't exist five years ago, and that the industry is still figuring out. You'll run red team engagements against a live AI platform used by over 12,000 organizations, build tooling that has no precedent to copy, and drive security decisions that shape how AI products are built across the company. The problems are novel, the stakes are real, and the team working on them is exceptional. 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

CSQ427R33 At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. As a Senior TPM, you lead the charge in changing how people work with data. You will drive high-stakes, multi-workstream programs that have a material impact on customer success and scalability. Your technical expertise and strategic influence will be critical for guiding complex engagements to success and fostering a culture of continuous improvement. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals. The Impact You Will Have * Architecting Standards: You will install operating rigor (cadence, metrics, reviews) that doesn't just serve one project, but becomes a "gold standard" adopted by other TPMs across the region. * Cross-Functional Synergy: You will lead high-visibility initiatives that require deep collaboration across Product, Engineering, and Marketing, resolving complex misalignments with M6-level Directors that threaten project velocity. * Strategic Risk Leadership: You will manage the change management process for large-scale digital transformations, ensuring that customer organizations are culturally and technically ready to adopt the Lakehouse architecture. * Knowledge Multiplication: You will contribute significantly to the Databricks community by documenting best practices and leading internal training sessions to level up the entire Professional Services organization. What We Look For * Experience: 8–12+ years leading large-scale technical programs. * Technical Fluency: Advanced technical fluency; 2 Databricks Associate Certifications or 1 Professional-level Certification required within 6 months of hire. * AI Strategy: Proven track record of leveraging AI-enabled tools to optimize large-scale program delivery and cross-functional synergy. * Senior Leadership: Proven ability to engage, influence, and build trust with senior executive stakeholders (CxOs). * Scope: Experience successfully managing projects with teams of up to 5 people and contract values in excess of $0.5M.   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

RDQ226R605; This role can be based remotely anywhere in the United States.    The AI Security Engineering team at Databricks builds the security tools, detection systems, and engineering infrastructure that protect Databricks' AI platform and the AI capabilities our customers depend on. We are the builders — designing and shipping security tooling that scales AI threat detection, automates security assessment of AI systems, and gives Databricks and its customers high-confidence assurance that AI capabilities are operating securely. We sit at the intersection of security engineering and AI systems: we understand how AI systems work, how they can be attacked, and how to build engineering solutions that keep them safe at scale. --- As a Staff Security Software Engineer on the AI Security Engineering team, you set the technical direction for AI security engineering at Databricks — defining the architecture, standards, and methodology by which the team builds tooling for AI security assessment, detection, and defense. You are recognized across the Security organization as the authority on AI security engineering: the person engineering leadership consults when AI security tooling decisions have organizational-scale consequences. You operate across team and organizational boundaries — aligning the AI Security Engineering team's technical roadmap with the detection, GRC, and product security teams that depend on its outputs, and driving AI security engineering standards that the whole security organization can adopt. --- THE IMPACT YOU WILL HAVE AI SECURITY ENGINEERING ARCHITECTURE * Define the architecture and technical strategy for Databricks' AI security tooling platform — spanning adversarial testing, behavioral monitoring, threat detection, and automated assessment of AI components * Set engineering standards for the team: design review processes, reliability requirements, observability practices, security properties of the tooling itself, and integration patterns with downstream consumers * Own the technical decisions on how the team's systems scale to cover Databricks' growing AI surface, how they integrate with product security and detection pipelines, and what tooling capabilities to build vs. buy vs. open-source AI THREAT DETECTION AT SCALE * Lead the design and development of AI platform capabilities that operate at production scale — behavioral analysis of usage, detection of prompt injection attempts, anomaly detection on agentic workflow behavior * Define the methodology for AI security assessment: how Databricks systematically evaluates new AI capabilities against a comprehensive threat model before deployment and monitors them continuously after * Drive technical strategy for AI red-teaming tooling: automated adversarial testing platforms that simulate how real attackers attempt to abuse Databricks' AI systems CROSS-ORGANIZATIONAL TECHNICAL LEADERSHIP * Serve as the technical authority on AI security engineering for the Product Security, SITH, IR, and ConMon teams — ensuring that AI security tooling outputs integrate cleanly into their workflows and meet their detection and assessment needs * Represent AI Security Engineering in architecture reviews, platform security decisions, and cross-team technical discussions where AI security engineering considerations are material * Establish AI security engineering standards that teams building AI-connected systems can adopt — reusable patterns for securing AI components in the Databricks platform MENTORSHIP & TEAM CAPABILITY * Mentor senior and mid-level engineers on AI security engineering architecture, adversarial threat modeling, and technical leadership * Lead design reviews, define team engineering practices, and drive continuous improvement in the quality and reliability of AI security tooling --- WHAT WE LOOK FOR * 7–10 years of experience in security software engineering, security engineering, or a closely related discipline; with demonstrated technical leadership of security tooling programs and organizational-level impact * Expert Python engineering: designs and delivers production systems at scale; understands observability, reliability engineering, and how security tooling integrates into larger security operations ecosystems * Deep expertise in AI/ML security — adversarial ML, prompt injection, model security, agentic framework trust boundaries — at both a research-informed and engineering-practical level * Experience designing security tooling architectures that span multiple teams and systems — not just building features, but defining how the platform is structured, scaled, and maintained * Strong technical communicator: can align engineering and security leadership on architectural direction and drive cross-team adoption of standards and patterns * Track record of shipping high-quality security tooling that other teams depend on in production NICE TO HAVE * Research contributions or deep familiarity with adversarial ML, AI safety, or AI red-teaming methodology * Experience with MLOps platforms, AI serving infrastructure, or AI platform security at cloud scale * Familiarity with AI governance standards (NIST AI RMF, ISO/IEC 42001, EU AI Act technical provisions) as they apply to security engineering * Open-source contributions or publications in AI security, adversarial ML, or security tooling   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 base 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 anticipated 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.   Zone 1 Pay Range $289,200—$397,650 USD Zone 2 Pay Range $260,300—$357,950 USD Zone 3 Pay Range $245,800—$338,050 USD Zone 4 Pay Range $231,400—$318,100 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.

Coupang

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I 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 Software Engineer, ML infra Engineer for Search & Discovery organization, you will be in charge of designing and implementing durable & efficient software solutions that handle massive volume of structured and unstructured data needed to train complex ML models and efficiently serve them online.   The Search & Discovery organization is responsible for optimizing customers' navigation experience and driving long-term growth. Every week millions of customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation.   This role is an opportunity to build scalable offline and online ML platforms to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabytes of raw log files, and transforming them into data objects that can be easily consumed by engineers and scientists. You will also be responsible for serving complex ML models in real time to help millions of Coupang customers search and discover products. If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you.       What You Will Do * Proactively drive the execution of end-to-end data platform, data quality roadmap for Search & Discovery ML efforts * Take ownership, consolidate and optimize the Search & Discovery core data logging, processing, and ML model training pipelines * Develop and scale data infrastructure that powers batch and real-time data processing, monitoring, and debugging for ML experiments * Drive design and implementation of scalable ML based ranking system and online ML inference services * Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand both the offline and online needs and deliver on those needs * Research, analyze and select technical approaches for solving difficult and challenging development and integration problems, coach and mentor other engineers in process and methodologies Basic Qualifications * Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields * 5 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 * Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning) * Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.) * Experience with ML frameworks such as Tensorflow and Pytorch * Experience with deploying highly robust and scalable data pipelines processing petabytes of data * Experience in managing mission critical services with high throughput and low latency * Experience with integrating applications and platforms with cloud technologies (i.e, AWS and GCP) * Strong verbal and written communication skills * Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users * Experience with machine learning platform for search & discovery related rankings is a strong plus 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 this position ranges from $174,000K/year to $299,000K/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 * 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 * 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.   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/ 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. Coupang is also committed to providing a safe work environment for its employees and its consumers. 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. Job Requisition ID: R0075534

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-1484 Databricks Executive Assistants are strategic partners who drive efficiency, foster collaboration, and enable our most senior leaders to scale their impact. As we continue to expand globally, we are seeking an experienced Executive Assistant in Costa Rica to support our executive leadership team. This role will work closely with Executives in Costa Rica and the United States, managing complex calendars, orchestrating high-impact meetings and events, and serving as a trusted liaison with internal and external stakeholders. Occasional travel may be required to support critical company initiatives and events. IMPACT YOU WILL HAVE: * Executive Assistants are empowered to focus on strategic priorities, resulting in a more effective and agile organization. * Proactively manage and optimize complex, multi-time zone calendars, ensuring alignment with business priorities and anticipating potential conflicts. * Independently plan, coordinate, and execute executive travel, team offsites, and high-visibility events, ensuring compliance with company policies and budget. * Act as the primary point of contact for all meeting and event requests, maintaining a high standard of service and responsiveness. * Build and maintain accurate records of meetings, events, and requests, ensuring timely follow-up and closure. * Prepare and review briefing materials, agendas, and follow-up documentation for executive meetings, ensuring leaders are well-prepared and informed. * Provide coverage and support for other executive staff as needed, demonstrating flexibility and a team-first mindset. * Handle highly confidential information with the utmost discretion and integrity. * Foster cross-functional collaboration by building strong relationships with other EAs, business partners, and stakeholders across the organization. WHAT WE LOOK FOR: * * 5+ years of executive administrative experience, preferably in a global technology or software organization. * Demonstrated ability to exercise sound judgment and make independent decisions in ambiguous or high-stakes situations. * Advanced calendar management skills (Gmail and Google Calendar expertise required), with a proven track record of supporting multiple executives across time zones. * Exceptional organizational, time-management, and prioritization skills; able to manage multiple complex projects simultaneously. * Ability to communicate with C level Executives Assistants * Strong relationship management and communication skills (C1 English proficiency required), with the ability to influence and collaborate at all levels. * Experience planning and executing large-scale meetings, events, and travel logistics, including budget management and vendor coordination. * High level of discretion in handling sensitive information and confidential matters. * Proactive, solution-oriented, and adaptable to changing priorities and environments. * Willingness to adjust working hours to support executives in different time zones (primarily US). * Occasional travel to the United States is required. B1/B2 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.

Databricks

FEQ427R168 At Databricks, our core values are at the heart of everything we do. Creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. As a recognised thought leader, you will be measured by your impact and contributions to impactful initiatives, such as leading SME teams and delivering regular presentations at conferences and industry events. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: * Lead and manage complex enterprise and strategic customer accounts, ensuring exceptional customer satisfaction and value delivery. * Serve as a role model within Field Engineering, embodying Databricks' core principles and acting as a recognised leader. * Collaborate with Field Engineering leadership to mentor and guide the development of Solutions Architects and Senior SAs, fostering team growth. * Enhance Databricks' technical community presence by developing impactful customer-facing materials and leading workshops, seminars, and industry events. * Contribute to the development and implementation of regional best practices and efficient processes to improve team effectiveness. * Cultivate a strong internal network within Databricks, building key relationships with stakeholders across various specialist and product teams. What we look for: * Extensive experience in navigating complex customer engagements and the sales lifecycle within a technical pre-sales environment. * Proven ability to lead strategic business discussions with C-level executives to build strong relationships, orchestrate internal teams, and influence outcomes that drive long-term customer success. * Strong aptitude for identifying and prioritising key business use cases, strategic resource allocation, and investment strategies to maximise impact. * Understanding of core programming concepts and a willingness to engage with data and analytics technologies at a conceptual level. * Experience guiding customers through complex evaluations and a solid understanding of public cloud platforms. * Expertise in developing and articulating compelling solutions for diverse customer needs and effectively positioning Databricks in a competitive landscape.   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

RDQ427R333 ABOUT THE ROLE Databricks is looking for a highly capable, process-driven, and proactive Executive Assistant to support a Senior Leader within Product & Engineering, while also supporting our SVP of Corporate Development & Ventures. The primary mission of this person is to support our Engineering and Product leaders, partnering with them to operationalize their teams' cross-functional strategies. You will serve as a key liaison across various departments—including Sales, Marketing, IT, and other critical functions—to ensure alignment and execution. Additionally, you will drive strategic initiatives and community events that foster collaboration across the Engineering and Product organizations. While deeply rooted in supporting a massive internal engineering footprint, this high-visibility, fast-paced role sits at a unique intersection. You will also manage the rhythm of a deal-driven corporate development environment, triaging incoming requests from startups, founders, and investors, and handling highly sensitive, confidential information with absolute discretion. THE IMPACT YOU WILL HAVE * Ensure the Engineering leader is prepared for all meetings, with an accurate and forward-looking calendar. * Effectively prioritize the calendar and schedule meetings in a timely manner. * Provide timely responses to all stakeholder requests. * Enhance the Engineering leader's time efficiency, leading to a more productive team and company. * Execute strategic initiatives well, delivering on defined outcomes. RESPONSIBILITIES * Calendar Management: Organizes all meetings across international time zones, including but not limited to internal engineering team meetings, customer meetings, internal business partners, and external venture/M&A requests. * Request Tracking & SLAs: Builds and maintains records of all meeting requests and closes out all requests in a timely manner. Keeps to a strong SLA on responding to requests from both internal technical staff and external stakeholders (founders, investors, bankers). * Meeting Preparation: Ensures all meeting invites have the appropriate details, context, and documentation to have an effective meeting, protecting executive focus time. * Event Management: Manages offsite meetings, events, and programs in support of the leaders and their staff, ensuring team events, leadership dinners, or investor meetings are executed with polish and precision. * Operational & Travel Support: Manages briefing materials, executive correspondence, and select domestic and international travel, anticipating needs before they are expressed to keep leaders operating at full capacity. * Confidentiality & Discretion: Handles sensitive, non-public information—including product roadmaps, M&A targets, term sheets, and board-level matters—with the judgment and professionalism appropriate to that trust. * Team Coverage: May be required to support other executive staff members if there's a coverage gap due to PTO, sickness, maternity leave, or other absences. COMPETENCIES & QUALIFICATIONS * Minimum of 7+ years of applicable executive administrative experience, ideally from a global software organization. * Proven track record working with VPs/SVPs in Engineering and Product in large organizations. * Experience working with VPs managing over 2000+ people in engineering, customer-facing, and/or technical roles. * Ability to work at a fast pace with shifting priorities in a hyper-scaling, high-growth company, with experience directly supporting an executive staff member. * High attention to detail, organization, and process abilities; structured thinking with an operational mindset that can bring order to chaos. * Strong calendaring skills (Gmail and Google Calendar experience mandatory). * Strong relationship management skills and the ability to build a personal network throughout the company; you earn trust quickly and know how to work through organizational complexity. * Strong teamwork skills, and a confident ability to offer suggestions and improvements to the process, and work very collaboratively with others. * Strong oral and written communication with the ability to communicate clearly and effectively with senior leaders, developers, and external partners. * Technology Fluency: A genuine curiosity about technology, high-growth companies, and the AI/data landscape. Comfortable dealing with engineers, technical leaders, and opinionated entrepreneurs. WHY THIS ROLE You'll work alongside the core engine of Databricks and one of the most active corporate development teams in enterprise tech. This role offers deep exposure to how a top-tier data and AI company grows through both engineering innovation and strategic acquisitions. Our leaders value a true partnership—someone who grows into the role, develops deep context about the business and ecosystem, and becomes an indispensable part of how the team operates.   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.   Zone 1 Pay Range $62.31—$85.67 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

ReqID: FEQ327R501 Location:  London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission   As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI  thought leader. Impact you will have * Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. * GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. * Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. * Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform’s AI roadmap. * Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons.   What we look for * Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: * ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. * Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). * Hands-on experience working with Distributed Spark based systems * Experience with data engineering concepts or a good understanding of data engineering concepts  * Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred * [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets * Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. * Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. * Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * Can travel up to 30% when needed 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

ReqID: FEQ327R328 Recruiter: Kanwal Matharu Location:  London, United Kingdom - Hybrid Skills: Data Science, Machine Learning, AI, LLM, GenAI As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team) The impact you will have: * Lead the architectural design of production-grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end-to-end pipeline creation and optimization (training/inference) to seamless integration with cloud-native services. * Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep-dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real-world examples. * Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. * Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences. What we look for: * Experienced, technical, customer-facing, and with a background in Data Science / Machine Learning, and Data Engineering.  Looking to learn and develop in a customer-facing technical role as a subject matter expert (SME) in a pre-sales environment. * Pre-sales or post-sales experience working with external clients across a variety of industry markets Data Science/ML Skills * Hands-on industry ML experience in at least one of the following: * ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring * Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI * Hands-on experience working with Distributed Spark based systems. * Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience * Experience communicating and teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving our values through ML * [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role * [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * Can travel up to 30% when needed 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

RDQ427R274 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses. Databricks’ Corporate Development & Ventures team partners with leadership to identify and execute acquisitions and strategic investments to support our corporate and product strategy. The Corporate Development & Ventures Senior Associate will be a critical member of the team, helping to drive end-to-end transactions from sourcing through evaluation and execution. Databricks is among the most active strategic acquirers and investors across enterprise software, having completed 15+ acquisitions and 55+ investments since 2023. The impact you will have: * Help develop M&A and investment strategy: * Identify and qualify high-impact M&A and Databricks Ventures opportunities by partnering with Executive leadership, Product, Engineering, and Partnerships teams. * Conduct strategic evaluations of M&A and investment opportunities; communicate findings in business case memos and executive presentations. * Build and maintain a comprehensive view of competitive and market trends to inform strategic decision-making and keep stakeholders updated on the evolving ecosystem. * Support transactions end-to-end: * Lead cross-functional due diligence processes, working closely with Databricks’ cross-functional deal team during the entire transaction lifecycle. * Be the primary author of executive and Board materials. * Collaborate with our M&A Integration team to drive post-close integration planning (e.g., operational alignment, cross-functional coordination). * Build our Corporate Development function:  * Build relationships with investors, investment bankers, founders, and other stakeholders in our ecosystem; run thesis-led outreach to originate opportunities and gather market intel. * Design and implement processes, templates, and tooling to enhance team efficiency and execution. * Help scale our cross-functional M&A processes for larger and more complex acquisitions. What we look for: * Bachelor’s degree required; Computer Science, Engineering, or other STEM fields is a plus. * 2+ years of work experience in product management, investment banking, private equity, management consulting, corporate development, or venture capital; exposure to enterprise software or the data infrastructure sector is a plus. * Strong communication and writing abilities paired with rigorous qualitative and quantitative analytical skills. * Strong judgment, ownership, and cross-functional leadership. * Design to drive deal processes autonomously as the deal lead.   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.   Zone 1 Pay Range $133,600—$183,700 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

RDQ427R337 ABOUT THE ROLE Databricks is looking for a highly capable, process-driven, and proactive Executive Assistant to support a Senior Leader within Product & Engineering, while also supporting our SVP of Corporate Development & Ventures. The primary mission of this person is to support our Engineering and Product leaders, partnering with them to operationalize their teams' cross-functional strategies. You will serve as a key liaison across various departments—including Sales, Marketing, IT, and other critical functions—to ensure alignment and execution. Additionally, you will drive strategic initiatives and community events that foster collaboration across the Engineering and Product organizations. While deeply rooted in supporting a massive internal engineering footprint, this high-visibility, fast-paced role sits at a unique intersection. You will also manage the rhythm of a deal-driven corporate development environment, triaging incoming requests from startups, founders, and investors, and handling highly sensitive, confidential information with absolute discretion. THE IMPACT YOU WILL HAVE * Ensure the Engineering leader is prepared for all meetings, with an accurate and forward-looking calendar. * Effectively prioritize the calendar and schedule meetings in a timely manner. * Provide timely responses to all stakeholder requests. * Enhance the Engineering leader's time efficiency, leading to a more productive team and company. * Execute strategic initiatives well, delivering on defined outcomes. RESPONSIBILITIES * Calendar Management: Organizes all meetings across international time zones, including but not limited to internal engineering team meetings, customer meetings, internal business partners, and external venture/M&A requests. * Request Tracking & SLAs: Builds and maintains records of all meeting requests and closes out all requests in a timely manner. Keeps to a strong SLA on responding to requests from both internal technical staff and external stakeholders (founders, investors, bankers). * Meeting Preparation: Ensures all meeting invites have the appropriate details, context, and documentation to have an effective meeting, protecting executive focus time. * Event Management: Manages offsite meetings, events, and programs in support of the leaders and their staff, ensuring team events, leadership dinners, or investor meetings are executed with polish and precision. * Operational & Travel Support: Manages briefing materials, executive correspondence, and select domestic and international travel, anticipating needs before they are expressed to keep leaders operating at full capacity. * Confidentiality & Discretion: Handles sensitive, non-public information—including product roadmaps, M&A targets, term sheets, and board-level matters—with the judgment and professionalism appropriate to that trust. * Team Coverage: May be required to support other executive staff members if there's a coverage gap due to PTO, sickness, maternity leave, or other absences. COMPETENCIES & QUALIFICATIONS * Minimum of 7+ years of applicable executive administrative experience, ideally from a global software organization. * Proven track record working with VPs/SVPs in Engineering and Product in large organizations. * Experience working with VPs managing over 2000+ people in engineering, customer-facing, and/or technical roles. * Ability to work at a fast pace with shifting priorities in a hyper-scaling, high-growth company, with experience directly supporting an executive staff member. * High attention to detail, organization, and process abilities; structured thinking with an operational mindset that can bring order to chaos. * Strong calendaring skills (Gmail and Google Calendar experience mandatory). * Strong relationship management skills and the ability to build a personal network throughout the company; you earn trust quickly and know how to work through organizational complexity. * Strong teamwork skills, and a confident ability to offer suggestions and improvements to the process, and work very collaboratively with others. * Strong oral and written communication with the ability to communicate clearly and effectively with senior leaders, developers, and external partners. * Technology Fluency: A genuine curiosity about technology, high-growth companies, and the AI/data landscape. Comfortable dealing with engineers, technical leaders, and opinionated entrepreneurs. WHY THIS ROLE You'll work alongside the core engine of Databricks and one of the most active corporate development teams in enterprise tech. This role offers deep exposure to how a top-tier data and AI company grows through both engineering innovation and strategic acquisitions. Our leaders value a true partnership—someone who grows into the role, develops deep context about the business and ecosystem, and becomes an indispensable part of how the team operates.   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.   Zone 1 Pay Range $141,100—$194,050 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.

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. ABOUT THE ROLE Reddit is building a dedicated Ads ML Efficiency function to make model training and inference materially faster, cheaper, safer, and more scalable. As the Engineering Manager for this team, you will lead a group focused on model optimization, training efficiency, GPU enablement, load testing, model performance tooling, and efficiency guardrails across Ads ML. This role sits at the intersection of ML modeling, systems optimization, and organizational leverage. You will partner closely with ranking teams, ML Platform teams and serving owners to identify the highest-value bottlenecks, land measurable efficiency wins, and build the tooling and operating mechanisms that make those wins repeatable. WHAT YOU’LL DO: * Lead & Grow: Hire, mentor, and retain a high-performing team of ML engineers / systems-oriented engineers working on model optimization and ML efficiency. * Set Technical Direction: Define the roadmap for training optimization, inference optimization, launch-readiness tooling, and reusable efficiency primitives across Ads ML. * Deliver Measurable Wins: Drive reductions in model training time, online latency, serving cost, and infra-driven launch risk. * Build Systems and Tooling: Guide the development of profiling, benchmarking, load testing, observability, cost analysis, debugging, and efficiency certification systems. * Operate in the Critical Path: Partner with model owners and platform teams to accelerate high-priority launches and remove bottlenecks from the path to production. * Shape the Team’s Evolution: Balance near-term white-glove optimization work with medium-term platformization and automation. * Build XFN Alignment: Work closely with MLP, AMP, Ranking, and serving teams to clarify boundaries, upstream generic wins, and keep Ads needs on track. * Raise the Bar: Establish engineering rigor around measurement, performance debugging, launch safety, and technical decision-making for efficiency work. WHAT WE’RE LOOKING FOR: * Deep ML Engineering Experience: The candidate should have been close to the models themselves and understand training, serving, debugging, and optimization in depth. * Hands-on Optimization Background: Direct experience improving training loops, serving systems, profiling workflows, model/inference efficiency, or GPU utilization. * Strong Managerial Ability: Experience building and leading teams, coaching engineers, managing delivery, and making prioritization tradeoffs under ambiguity. * Distributed Systems Fluency: Proven ability to reason about production-scale ML systems and the tradeoffs that govern reliability, speed, cost, and scale. * Customer and Platform Instincts: Able to work as a service provider to modeling teams while still building reusable systems rather than only heroic one-offs. * Strong Communication: Can explain technical tradeoffs clearly to engineers, PMs, and senior stakeholders. * Ads experience: Experience in ads ranking, recommender systems, marketplace ML, or adjacent production ML domains is strongly preferred. NICE-TO-HAVE: * Experience with GPU training and serving migrations. * Experience with PyTorch, distributed training frameworks, or kernel/performance optimization. * Experience building efficiency benchmarking or launch certification frameworks. * Experience working in organizations where ML platform and applied modeling responsibilities are split across multiple teams. Benefits: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave  Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000—$322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join:  We are looking for a talented and experienced person, who will look after a variety of Safety concerns for our community, including but not limited to: Discrimination, Personal Safety Threats, Domestic Violence, Suicide or Self Harm, Child Exploitation, Physical Assault and Sexual Assault, Drugs activity, Sex Work and Human Trafficking.   The successful candidate will demonstrate an excellent understanding of how to properly identify threatening and harmful circumstances, empathetic communication, use of good judgment,  and quick decision making, with the goal of providing the best support possible for the Survivors and restore their status quo.  This is a full time position based in Singapore. This position is a frontline, contact center role interacting directly with the customers. Successful candidates need strong communication skills, problem-solving abilities, and customer service expertise. They should also be adaptable and responsive in our fast paced environment, sometimes under pressure, while remaining flexible, proactive, resourceful, efficient and demonstrating a high level of professionalism and confidentiality.        As part of this role, you are required to be flexible and may be required to move to different teams within Community Support and/or take up different responsibilities from those set out below. The ideal candidate will be open to a role which will evolve based on business needs and will be flexible to meet those needs.        A Typical Day: The responsibilities listed below are not exhaustive. Given the fast-moving nature of this work, the responsibilities set out below may change and additional duties may be assigned as needed. Complex case management: Has “perfected the core” of your role of providing the highest level of service to our community  * Interact with Airbnb customers and community members through all current and future channels, both inside and outside of Airbnb tools, including livechat, social platforms, messaging, and directly through the phone * End-to-end management of complex cases with the objective to resolve customers’ issues based on workflows & management guidelines  * Recognize case type/severity and work cases correctly according to your service’s scope, escalating accurately to other teams when appropriate * Takes on casework at a degree of severity/complexity under close supervision * Ability to recognize & assess threatening & risky behaviors * Demonstrate ownership mentality & good judgment as well as skill to question and deviate from the workflow when needed only through management approval * Be highly receptive to feedback from management, Quality & clinical staff teams and quickly adopt behaviors to improve the quality of your work  * Understands multiple perspectives on a topic or situation * Able to evaluate and present multiple options for addressing a problem * Can be brought to engage more with senior stakeholders with help from management Combining efficiency with quality:  * Has displayed an ability to handle a larger volume of cases without negatively impacting the quality of the interaction & the resolution Participating in the Safety Service improvement: Leverage your functional operational knowledge to support the team succeed * Help document ways of working, best practices, and the norms for your service(s) as requested by management * Provides technical/functional/SME to less experienced members of the team. Stakeholder engagement: Beginning to explore network with other Delivery teams and key functional partners * Displays openness and approachability when resolving issues * Understands key drivers of your role and how they relate to one another Your Expertise: YOUR BACKGROUND & EXPERIENCE * 3+ years of relevant experience in customer service, mediation, emergency services, Trust & Safety operations, or a similar role operating in a contact center environment making calls and handling customer/client contacts * Hospitality experience is a plus, in particular working for technology platforms. * Ability to work weekend days and public holidays, as well as early morning / evening shifts. Your schedule can change to meet business needs * Ability to work in a high-pressure environment interacting with sensitive, confidential, and potentially traumatic imagery, conversations, and other materials YOUR SKILLS & EXPERTISE * Very good interpersonal and communication skills, both written and spoken, including conflict resolution. * Ability to organize a high volume of work, multitask & prioritize, and to work within prescribed schedules including breaks, lunches, and training time * Basic computer literacy, including Apple/Mac OS and Google Suite * Language proficiency in English, other languages are a plus * Able to assess risk accurately, understand level of urgency, exercise good judgment when it comes to risky situations, and share the most pertinent information with stakeholders * Ability to adapt to new tasks and responsibilities as needed.  * Proactive attitude towards embracing new challenges and adjusting to changing priorities and environments.  * Capable of adjusting to evolving roles and job duties with openness and flexibility, as well as moving to a new team. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.