Sökresultat för "Technical Debt Management"

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox is currently at a critical inflection point in its financial evolution. We recently achieved a significant payout milestone to our Creator community in 2025. To successfully build upon this momentum year over year while controlling our costs, a world-class payments and wallets ecosystem is essential to ensure frictionless transactions across the platform for our Users and Creators. This role offers the rare opportunity to lead a 0-to-1 buildout of a new payments division. If successful, you will transition Roblox from standard payment processing to a strategic orchestration model, utilizing AI-driven approach to optimize significant transaction cost.  Beyond cost savings, you will spearhead the transformation of our creator payouts, building a product designed to empower the livelihood of millions of developers through instant, transparent, and global financial access. YOU WILL * Own Global Partnership Negotiation & Account Management: Lead RFPs and high-stakes contractual negotiations with major global payment processors (e.g., Stripe, PayPal, etc) and financial institutions. * Establish formal business relationships where none currently exist, securing advantageous commercial terms that are accretive to Roblox’s bottom line. * Build Payment Orchestration Strategy & Development: Lead the transition from current legacy systems to a multi-partner orchestration system. * Achieve optimal routing based on cost and conversion, potentially saving hundreds of millions of dollars in transaction fees in year one. * Transform Creator Payout : Drive the business strategy and partnerships required to modernize our existing infrastructure into a proprietary, end-to-end financial platform for creators to run their businesses on Roblox * Dramatically improve creator retention and satisfaction by reducing payout latency and fees, directly impacting "Time-on-Platform" and developer ecosystem growth. * Lead Cross-Functional Enterprise Deal Execution: Lead cross-functional deal teams comprising Legal, Finance, Privacy, and Engineering stakeholders. * Execute complex contracts that satisfy global regulatory compliance (KYB/KYC/AML) while ensuring speed-to-market for new financial features. * Expand into Emerging Markets: Develop a strategy for handling international currency exchange volatility and local payment methods in high-growth regions. * Unlock revenue in emerging markets by mitigating FX risk and reducing the barrier to entry for new developers. * Bridge Business & Engineering: Translate commercial opportunities into "second-level" technical requirements, such as ledger design and API integration standards. * Ensure the engineering roadmap is aligned with commercial viability, preventing technical debt and ensuring the infrastructure supports real-time global payments. * Optimize Performance : Implement a rigorous "Payment Excellence" framework to monitor authorization rates and fraud thresholds. * Deliver incremental revenue gains where even a 0.01% improvement in authorization rates translates to millions in retained bookings. * Future-Proofing for Agentic Commerce: Evaluate and integrate emerging technologies, including AI agents and blockchain rails, into the payments strategy. * Secure Roblox’s position as a leader in the future "agentic economy," where automated systems may negotiate and execute transactions on behalf of users. YOU HAVE * 10+ years of Business Development experience specifically within the Consumer Financial Services, Digital Payments, Fintech, or Digital Wallet sectors * Proven track record of a 0-to-1 buildout of a payments division or financial product line, demonstrating the ability to operate without established playbooks   * Bilingual Fluency (Tech/Business): Ability to articulate complex technical concepts (API orchestration, tokenization, ledger systems) to engineers while simultaneously modeling multi-year economic impacts for C-suite executives. * Global Regulatory Acumen: Deep understanding of the global regulatory landscape, including PSD2, KYC/AML compliance, and card network rules, to navigate international expansion risks effectively. * Complex Negotiation Skills: Demonstrated success in negotiating and signing deals with payment networks, acquirers, and banks, effectively balancing unit economics with legal and privacy constraints. * Strategic Ecosystem Architecture: Ability to view payments not as a utility but as a strategic asset class, capable of designing partnerships that drive long-term ecosystem value rather than just transactional volume. * Analytical Rigor: Strong data processing and analytical skills to model ROI, forecasting, and "payment excellence" metrics (e.g., authorization rates, FX margins). * Leadership in Ambiguity: Experience thriving in unstructured, fast-moving environments where you must influence executive decision-making and manage multiple high-priority workstreams independently.   For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $276,310—$310,810 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Director, Corporate and Securities Counsel We are seeking a seasoned Corporate and Securities attorney to join our expanding legal team. Reporting to the VP, Deputy General Counsel and Chief Compliance Officer, you will lead securities law and governance matters while managing a small team of legal professionals. You will drive process improvements and operational efficiencies while serving as a strategic business partner to the finance, equity, people, and leadership teams. This role will be based at our San Mateo, CA headquarters (hybrid with Tues-Thurs in office days) and reports into the Deputy General Counsel-Chief Compliance Officer.  You will: * Direct the preparation and filing of SEC reports (10-K, 10-Q, 8-K) and ensure NYSE compliance, leveraging AI tools to enhance disclosure drafting and consistency. * Oversee the preparation and review of earnings releases and public announcements in collaboration with Finance, Investor Relations, and Marketing. * Manage board and committee logistics, including agendas, materials, minutes, action items and corporate governance matters. * Oversee the management of domestic and international subsidiaries, including intercompany funding, incorporations, and annual maintenance. * Provide legal advice and support in connection with stock plans, executive compensation, investor relations, shareholder outreach, affiliate transactions, and other corporate matters * Lead legal efforts for capital markets transactions * Lead the annual meeting and proxy process, leveraging AI tools to enhance disclosure drafting and stakeholder engagement. * Own and continuously improve insider trading compliance, including policies, training, trading windows, and Rule 10b5-1 administration, incorporating automation and self-service AI tools. * Support capital markets activities, including share repurchases, debt financing, and associated disclosure considerations. * Develop and implement corporate policies, including Code of Conduct, anti-bribery, AML, and sanctions compliance. * Partner with the legal and advocacy team to advise senior management and the board on corporate governance trends and regulatory developments. * Partner with cross-functional teams, including finance, controller, tax, corporate communications, marketing, product compliance and other legal professionals on various projects * Provide strategic leadership and mentorship to the corporate legal team, focusing on workload prioritization and process standardization. You Have: * Strong academic credentials and are a California admitted lawyer * 12+ years of legal experience with public company in house experience highly preferred * Outstanding communication skills, both written and verbal, including the ability to advocate for a position while maintaining a collaborative and open-minded approach * Proven ability to manage teams and influence stakeholders at all levels of the organization, including the executive leadership team * Ability to thrive in a fast-paced environment and to manage time-sensitive matters * Strong project management skills and the ability to prioritize multiple competing deadlines * Ability to work efficiently both independently and in cross-functional teams, multitask with ease, and skillfully manage internal and external stakeholders * Ease in using AI to improve processes and document preparation * A highly team-oriented nature about you * Flexibility as to the types of projects assigned * The willingness to become an expert in new matters * Solid business acumen For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $380,040—$423,120 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Central Market Management & AI (CMM&AI) team, a key part of the broader Rideshare Experience & Marketplace organization, is essential for maintaining a balanced and efficient marketplace. We do so by developing foundational models, business datasets, and decision-making applications that support a wide range of teams across Lyft. These critical platforms and tools power our pricing / pay strategy, operational alignment, and regional strategies, enabling us to compete effectively in the Rideshare landscape. Data Scientists in CMM&AI solve the foundational problems that drive Lyft’s marketplace. From forecasting supply and demand to optimizing investments and measuring the ROI of growth levers, our work shapes both automated processes and high-level strategic decisions. Because our challenges are unique to a real-time marketplace, we avoid off-the-shelf solutions in favor of creativity and first-principles mathematical reasoning. We leverage a deep stack of technologies across forecasting, machine learning, inference, and optimization to deliver measurable impact. As a Senior Data Scientist on the Foundational Models team in CMM&AI, you will operate at the intersection of Machine Learning, Data Science, and Economics to build scalable optimization and modeling systems that directly impact Lyft’s top and bottom lines. You will be hands-on with formulating optimization problems, building ML models, productionizing pipelines, and integrating their outputs within decision-making frameworks. You will collaborate with Product, Engineers, Data Scientists, and Analysts to help define the roadmap and architecture for our next generation of foundational marketplace models that accelerate iterations and drive business efficiency. RESPONSIBILITIES: * Optimization & Modeling * Design, formulate, and solve complex mathematical optimization problems that power Lyft’s marketplace decisions across pricing, pay, incentives, and resource allocation. * Build, deploy, and maintain production-grade ML and optimization models; collaborate with Software Engineering to integrate algorithms into live systems and establish robust monitoring for model performance and data health. * Own the full model lifecycle—from problem framing and prototyping through experimental validation and production deployment—refusing a “build and forget” mentality. * Apply first-principles mathematical reasoning to marketplace challenges, choosing the simplest effective solution and building complexity only when incremental value justifies the technical debt. * Technical Strategy & Execution * Drive large-scale technical projects from initial concept to high-impact execution, ensuring alignment with business priorities and Lyft’s overarching goals. * Contribute to and influence the multi-quarter technical roadmap for foundational models, helping shape the vision and architecture for next-generation optimization and forecasting systems. * Champion high standards for code quality through well-tested, maintainable code and the development of shared team components and libraries. * Infuse AI capabilities into existing workflows and demonstrate agility in adopting emerging AI models and techniques to keep Lyft at the forefront of marketplace optimization. * Stakeholder Partnership & Influence * Partner with Data Scientists, Engineers, Product Managers, and Business Partners across lever teams (Pricing, Pay, Driver Engagement, Rider Engagement) to frame problems mathematically and within the business context. * Serve as a subject matter expert on optimization and modeling, providing technical guidance and thought leadership to elevate the team’s capabilities. * Foster a data-driven culture by presenting actionable insights and recommendations to senior leadership and cross-functional stakeholders. * Influence stakeholder roadmaps and advise cross-functional partners on the long-term trade-offs of different algorithmic approaches. EXPERIENCE: * Required: * M.S. in Operations Research, Industrial Engineering, Mathematics, Computer Science, Statistics, Economics, or other quantitative fields. * 4+ years of hands-on experience developing and deploying optimization and/or machine learning models in a production environment. * Advanced proficiency in Python and SQL, with a focus on writing clean, maintainable, and well-tested production code. * End-to-end experience with data, including querying, aggregation, analysis, and visualization. * Passion for solving unstructured and non-standard mathematical problems using first-principles reasoning. * Excellent communication skills and a track record of working closely with Software Engineers, Analysts, and Business Stakeholders to drive decision-making. * Preferred: * Ph.D. in Operations Research, Industrial Engineering, Mathematics, Computer Science, Statistics, Economics, or other quantitative fields. * Experience in pricing optimization, marketplace design, and/or resource allocation in a two-sided marketplace environment. * Proven track record of delivering measurable business value through the full lifecycle of model development, including experimental design and causal inference. * Deep understanding of how various levers (e.g., pricing, incentives, supply positioning) influence marketplace equilibrium and system-wide dynamics. * Experience with productionizing algorithms for real-time or near-real-time decision systems. * Experience influencing technical roadmaps and advising cross-functional partners on the long-term trade-offs of different algorithmic approaches. * Exposure to modern AI/ML frameworks or integration patterns BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Central Market Management & AI (CMM&AI) team, a key part of the broader Rideshare Experience & Marketplace organization, is essential for maintaining a balanced and efficient marketplace. We do so by developing foundational models, business datasets, and decision-making applications that support a wide range of teams across Lyft. These critical platforms and tools power our pricing / pay strategy, operational alignment, and regional strategies, enabling us to compete effectively in the Rideshare landscape. Data Scientists in CMM&AI solve the foundational problems that drive Lyft’s marketplace. From forecasting supply and demand to optimizing investments and measuring the ROI of growth levers, our work shapes both automated processes and high-level strategic decisions. Because our challenges are unique to a real-time marketplace, we avoid off-the-shelf solutions in favor of creativity and first-principles mathematical reasoning. We leverage a deep stack of technologies across forecasting, machine learning, inference, and optimization to deliver measurable impact. As a Senior Data Scientist on the Foundational Models team in CMM&AI, you will operate at the intersection of Machine Learning, Data Science, and Economics to build scalable optimization and modeling systems that directly impact Lyft’s top and bottom lines. You will be hands-on with formulating optimization problems, building ML models, productionizing pipelines, and integrating their outputs within decision-making frameworks. You will collaborate with Product, Engineers, Data Scientists, and Analysts to help define the roadmap and architecture for our next generation of foundational marketplace models that accelerate iterations and drive business efficiency. RESPONSIBILITIES: * Optimization & Modeling * Design, formulate, and solve complex mathematical optimization problems that power Lyft’s marketplace decisions across pricing, pay, incentives, and resource allocation. * Build, deploy, and maintain production-grade ML and optimization models; collaborate with Software Engineering to integrate algorithms into live systems and establish robust monitoring for model performance and data health. * Own the full model lifecycle—from problem framing and prototyping through experimental validation and production deployment—refusing a “build and forget” mentality. * Apply first-principles mathematical reasoning to marketplace challenges, choosing the simplest effective solution and building complexity only when incremental value justifies the technical debt. * Technical Strategy & Execution * Drive large-scale technical projects from initial concept to high-impact execution, ensuring alignment with business priorities and Lyft’s overarching goals. * Contribute to and influence the multi-quarter technical roadmap for foundational models, helping shape the vision and architecture for next-generation optimization and forecasting systems. * Champion high standards for code quality through well-tested, maintainable code and the development of shared team components and libraries. * Infuse AI capabilities into existing workflows and demonstrate agility in adopting emerging AI models and techniques to keep Lyft at the forefront of marketplace optimization. * Stakeholder Partnership & Influence * Partner with Data Scientists, Engineers, Product Managers, and Business Partners across lever teams (Pricing, Pay, Driver Engagement, Rider Engagement) to frame problems mathematically and within the business context. * Serve as a subject matter expert on optimization and modeling, providing technical guidance and thought leadership to elevate the team’s capabilities. * Foster a data-driven culture by presenting actionable insights and recommendations to senior leadership and cross-functional stakeholders. * Influence stakeholder roadmaps and advise cross-functional partners on the long-term trade-offs of different algorithmic approaches. EXPERIENCE: * Required: * M.S. in Operations Research, Industrial Engineering, Mathematics, Computer Science, Statistics, Economics, or other quantitative fields. * 4+ years of hands-on experience developing and deploying optimization and/or machine learning models in a production environment. * Advanced proficiency in Python and SQL, with a focus on writing clean, maintainable, and well-tested production code. * End-to-end experience with data, including querying, aggregation, analysis, and visualization. * Passion for solving unstructured and non-standard mathematical problems using first-principles reasoning. * Excellent communication skills and a track record of working closely with Software Engineers, Analysts, and Business Stakeholders to drive decision-making. * Preferred: * Ph.D. in Operations Research, Industrial Engineering, Mathematics, Computer Science, Statistics, Economics, or other quantitative fields. * Experience in pricing optimization, marketplace design, and/or resource allocation in a two-sided marketplace environment. * Proven track record of delivering measurable business value through the full lifecycle of model development, including experimental design and causal inference. * Deep understanding of how various levers (e.g., pricing, incentives, supply positioning) influence marketplace equilibrium and system-wide dynamics. * Experience with productionizing algorithms for real-time or near-real-time decision systems. * Experience influencing technical roadmaps and advising cross-functional partners on the long-term trade-offs of different algorithmic approaches. * Exposure to modern AI/ML frameworks or integration patterns BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the New York City area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Mongodb

MongoDB is seeking a Director, Web Platform & Technology to define the technology strategy, architecture, and delivery model for mongodb.com, our primary digital experience. This leader will drive the evolution of the platform as we migrate to Adobe Experience Manager (AEM), modernize our software development lifecycle, improve performance and scalability, and establish the technical foundation for personalization, experimentation, AI-enabled workflows, and product-led growth. Leading a cross-functional team of Product Managers, Web Engineers, and specialized contractors (Business Analysis, QA, Scrum Master), this role will champion AI adoption across the web development lifecycle while delivering a best-in-class developer experience and partnering closely with design, marketing, and product teams to maximize business impact. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. MAIN RESPONSIBILITIES * Platform Strategy & Ownership: Define the long-term vision, architecture, roadmap, and operating model for MongoDB's web platform, aligning technology investments with marketing, growth, and business objectives * AEM & Digital Experience: Lead the migration to and evolution of Adobe Experience Manager while integrating Adobe Experience Cloud capabilities to support personalization, content operations, search visibility, and scalable content delivery * Engineering Excellence: Establish modern engineering practices spanning Agile delivery, CI/CD, release management, quality assurance, automation, documentation, accessibility, security, and technical governance to accelerate delivery and reduce technical debt * Team Leadership: Lead globally distributed engineering teams and contractor partners, building high-performing delivery models and fostering technical excellence and accountability * AI & Innovation: Identify, pilot, and operationalize AI capabilities—including generative AI, conversational experiences, workflow automation, and localization—to improve both customer experiences and engineering productivity * Experience Optimization: Partner with marketing, design, and product teams to deliver high-converting digital experiences that guide visitors toward meaningful actions such as Atlas adoption, sales engagement, and other conversion goals * Platform Reliability & Performance: Own site performance, availability, observability, Core Web Vitals, CDN strategy, technical SEO, AI/search discoverability, and scalable architecture to ensure a world-class user experience QUALIFICATIONS * 10+ years leading large-scale web platform engineering, software development lifecycles, or enterprise website modernization initiatives * Deep expertise with Adobe Experience Manager (AEM) Sites, including component architecture, content modeling, and enterprise-scale implementations * Experience with the broader Adobe ecosystem (such as Adobe Target, RT-CDP, or AEM Assets) is strongly preferred * Demonstrated success applying AI technologies, LLMs, or generative workflows to enterprise web platforms or engineering processes * Proven people leader with experience managing distributed engineering organizations and blended internal/contractor teams * Strong execution skills across roadmap planning, Agile delivery, release management, operational excellence, and continuous improvement * Ability to translate business objectives into scalable technical solutions that drive measurable customer and revenue outcomes * Deep understanding of modern web architecture, including headless/composable CMS patterns, APIs, web performance, accessibility, technical SEO, and emerging AI search optimization practices ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req. ID: 2273472961

Mongodb

ABOUT THE ROLE We are seeking a Staff Enterprise Architect, Data to lead the strategy, design, and modernization of our enterprise data landscape. This role operates at the intersection of data architecture, engineering, and AI enablement, defining solutions to integrate our Data Lake and Data Warehouse across multi-cloud platforms. Over the next 12-18 months, you will enable self-service data access and natural language query capabilities for business users. You will architect Master Data Management and data lineage frameworks ensuring AI models operate on high-quality, governed data. You will also evaluate and implement AI-powered tools to automate data quality monitoring and enhance data security. We're looking to speak with candidates based in the San Francisco Bay Area for our hybrid working model. KEY RESPONSIBILITIES * Data Strategy & Roadmap * Design semantic layer architecture standardizing business metrics enterprise-wide. Define governance guardrails ensuring natural language queries access validated master data sources * Develop Master Data strategy for Customer and Product domains (phases 1-2), Finance and People to follow. Define golden record requirements, stewardship models, and system-of-record hierarchy. Partner with business owners on master data governance * Define cross-cloud data integration strategy and reference architecture. Specify patterns (federation, replication, abstraction layer) balancing performance, cost, and data freshness. Document trade-offs and recommend implementations for batch and near-real-time use cases * Develop 12-24 month data architecture roadmaps for Finance, Sales, Product, and People. Identify capability gaps and recommend technology investments with business value and effort estimates * Systems Design & Solution Leadership * Evaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration patterns * Define data ingestion architecture reducing availability from weeks to 3-5 days (batch) and under 15 minutes (real-time). Specify ELT patterns using CDC where feasible. Document source system constraints and partner with engineering on phased implementation * Establish build vs. buy frameworks for Data Platform, ETL, Data Quality, and Master Data tooling. Define POC criteria and scoring models. Oversee POC execution and present recommendations with TCO analysis to the architecture review board * Design data solutions for priority initiatives (customer 360, financial reporting, AI pipelines). Ensure designs address quality SLAs, monitoring, security controls, and operational documentation. Validate through architecture review before implementation * Apply product thinking to data platforms, treating internal consumers as customers. Partner with Product Management on feasibility, MVP scoping, and scaling plans. Establish regular touchpoints with Data Engineering, Enterprise Architecture, and business leaders * Lead solution scoping workshops, provide effort estimates, and identify dependencies. Serve as escalation for complex design questions on cross-system flows, high-volume schema design, and vendor integrations * Technical Execution & Delivery * Participate in design reviews and checkpoints to validate alignment with architectural standards. Provide course-correction when needed, balancing consistency with pragmatic tradeoffs. Conduct quarterly audits to assess adherence and identify technical debt * Serve as early adopter of MongoDB Atlas and Voyage AI (including vector search for RAG). Evaluate MongoDB objectively in build/buy decisions, documenting capability gaps. Share enterprise feedback to influence product roadmap * Governance, Standards & Risk Management * Define data lineage strategy and technical requirements. Establish coverage targets: 100% for financial/AI data within 12 months, 80% for operational dashboards within 18 months. Map lineage to regulatory requirements (SOX, GDPR) * Design automated data quality frameworks with validation rules, anomaly detection, and quarantine workflows. Define quality metrics and SLAs by domain Specify check integration points and alerting processes. Partner with Data Operations on implementation * Collaborate with InfoSec on data access governance and security monitoring tools. Define anomalous access patterns, data classification schema, and security-lineage integration requirements. Document policies and controls in architecture artifacts * Establish data architecture principles and design patterns. Chair bi-weekly architecture review board meetings. Maintain ADRs documenting key decisions. Provide governance oversight for AI/ML initiatives ensuring training data meets quality and lineage standards * Conduct impact assessments for major initiatives analyzing data flows, dependencies, performance, and cost. Present design alternatives with risk/benefit analysis highlighting security, privacy, and technical debt. Establish mitigation plans before approval * Create and maintain architecture documentation: data flow diagrams, master data models, integration patterns, and technology stack references. Update quarterly or as needed. Ensure accessibility for engineering teams * Team Leadership & Evangelism * Build architecture community of practice: host monthly deep-dives, share best practices, facilitate cross-team collaboration, and maintain a knowledge base * Develop data literacy enablement: quarterly workshops, office hours, and documentation. Translate technical concepts into business impact. Target: 80% awareness of data governance basics within 12 months * Mentor 5-10 data engineers and architects through quarterly career discussions, design reviews, and problem-solving. Focus on systems thinking, stakeholder communication, and balancing idealism with pragmatism QUALIFICATIONS * 12+ years in IT with 7+ years in Data Architecture, Data Engineering, or Enterprise Architecture roles * 10+ years across three or more: data architecture, data engineering, database management, analytics, or cloud infrastructure * Proven ability to architect solutions that bridge Data Lakes and Warehouses in separate clouds (e.g., AWS, Azure, Google Cloud) * Hands-on experience with Master Data and data lineage tools. Must have designed master data models for at least two domains: Customer, Product, Finance, or People * Experience evaluating or implementing AI/ML tools for data quality monitoring and automated data classification * Proven success reducing data latency using CDC, streaming, or real-time integration patterns. * Proficient in SQL and Python. Experience with modern data platforms (Snowflake, Databricks, BigQuery, or similar). RAG architectures and vector databases are a plus * Led architecture for large-scale implementations: CRM, Enterprise Data Platforms, Data Lakes, or ERP systems * Experience managing vendor evaluations, contract negotiations, and ongoing partner relationships * Experience and understanding of MongoDB products and capabilities is a plus * Bachelor's degree in computer science, computer engineering, electrical engineering, systems analysis, or a related field; MS or advanced degree is preferred CORE COMPETENCIES * Leadership: Leads cross-functional teams through influence, navigates conflict, and drives results without direct authority * Communication: Translates complex technical concepts for executive and business audiences. Strong written, visual, and presentation skills * Financial & Analytical: Builds business cases with TCO analysis and ROI projections. Defines measurable success metrics * Change Management: Drives technology adoption while addressing stakeholder concerns and resistance * Technical Pragmatism: Cuts through vendor hype. Makes build vs. buy decisions grounded in business value and risk * Influence Without Authority: Shapes technical direction through credibility and collaboration, not mandate * Methodologies: Working knowledge of Agile, ITIL, and design thinking practices SUCCESS MEASURES * Data Foundation Delivery (12-18 months) * Establish golden records for Customer and Product master data domains * Achieve 95%+ lineage visibility for financial reporting and AI training datasets * Deploy data governance framework adopted by 3+ business units * Speed and Access Improvements (12 months) * Reduce data availability latency from weeks to 5 days or less for 80% of use cases * Launch semantic layer enabling natural language query for priority business datasets * Improve data quality scores by 25% for master data domains * Platform Modernization (18 months) * Complete build vs. buy decisions for Data Platform, ETL, Data Quality, and Master Data tools * Implement cross-cloud data integration architecture connecting Data Lake and Warehouse * Deploy 2+ AI-powered data quality or security monitoring use cases * Adoption and Value Realization * Achieve 80%+ stakeholder satisfaction with architecture roadmap clarity * Enable self-service analytics reducing data teams support tickets by 30% * Document architecture decisions and patterns with 90%+ team accessibility rating * Technical Excellence * Zero critical security or compliance violations in data solutions under this role’s oversight * Maintain architecture review cadence (bi-weekly) with <5 day SLA on design feedback ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. REQ ID: 1273368200 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $177,000—$349,000 USD

Databricks

(P-1384)   About the Team At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. In this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting and HR. You will lead critical initiatives that enhance developer productivity and drive innovation in the developer platform space. You will be at the forefront of integrating AI tools into the developer workflow, shaping the future of AI-assisted development.   The impact you will have: * Solve real business needs at a large scale by applying your software engineering * Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership * Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture * Manage technical debt, including long term technical architecture decisions and balance product roadmap * Leading and participating in technical, product, and design discussions  * Building, managing, and operating a highly scalable services in the cloud * Growing leaders on the team by providing coaching, mentorship, and growth opportunities * Partnering with other engineering and product leaders on planning, prioritization and staffing * Creating a culture of excellence on the team while leading with empathy   What we look for: * 15+ years of industry experience building and supporting large-scale distributed systems * Building, growing, and managing high-performance teams * Ability to attract and hire engineers who meet the Databricks hiring principles * Existing experience building and running cloud platforms -or- demonstrated ability to quickly learn new concepts in the SaaS space (e.g technical background and fast learner). * Experience working cross-functionality with product management and directly with customers; ability to deeply understand product and customer personas. * BS in Computer Science or Masters or PhD  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

P-1110 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.  We are the “Spark™ Structured Streaming” team responsible for building Stream Processing capabilities into Spark™ and Databricks Intelligence Platform. Stream processing is in its infancy and we are here to build not just state of the art Stream Processing technology but best in class managed offering for customers to run their Stream Processing workloads.  We're seeking a dedicated Engineering Leader to spearhead Spark™ Structured Streaming development initiatives, encompassing both open source and Databricks-specific components. Your primary mission will be to make Spark™ Structured Streaming state of the art Stream Processing engine, by adding advanced features such as sophisticated state management, new operators and at the same time making the engine performance both from latency and throughput point of view by reimagining engine architecture.  The key responsibilities include: * Leading a talented engineering team in Spark™ Structured Streaming team developing and promoting the engine in OSS and the Databricks Data Intelligence Platform * Overseeing sustained recruitment of top-tier talent, and upskilling talent on the team * Implementing robust processes to efficiently execute product vision, strategy, and roadmap in alignment with organizational goals and priorities * Build software that is not just high quality but easy to operate. * Make company wide impact by driving Stream Processing adoption across the Databricks product portfolio * Manage technical debt, including long term technical architecture decisions and balance product roadmap What we look for: * 5+ years experience working in a related system, streaming, query processing, query optimization, including big-data ecosystem, Apache Spark™ or database internal * A passion for database systems, storage systems, distributed systems, language design, or performance optimization * Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and SLAs of a product. Previous experience building and leading teams in a complex technical domain, such as on distributed data systems or database internals * Ability to attract, hire, and coach engineers who meet the Databricks hiring standards. Can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members. Can gain trust of the team and guide their careers. Experience managing distributed teams preferred * Comfortable working cross functionally with product management and directly with customers; ability to deeply understand product and customer personas   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $181,000—$253,750 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

P-1563 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. About the Team We manage the infrastructure efficiency for one of the world's largest data and AI platforms. Operating at massive scale across AWS, Azure, and GCP, our mission is to ensure that every dollar spent on cloud infrastructure is optimized. The MCE team builds the critical tools, frameworks, and automated systems that provide deep cost visibility and ensure maximum resource utilization. We are looking for engineers to help us engineer systems that optimize our footprint as we scale into the hundreds of millions of dollars in cloud spend. The Role As a Senior Software Engineer, you will own the end-to-end design and delivery of high-impact engineering projects. You will act as a primary owner of key system components, handling technical ambiguity, collaborating with stakeholders, and delivering robust, scalable solutions. Your work will directly impact our infrastructure margins by building the next generation of cost attribution, automated resource management, and efficiency tooling. The impact you will have * End-to-End System Design: Lead projects from concept to deployment. You will design and build scalable systems that handle high-volume data streams to provide accurate cost attribution and resource management, turning chaotic cloud spend into actionable data. * Scaling & Optimization: Identify and eliminate inefficiencies in our cloud architecture. You will engineer solutions that mitigate resource waste, improve attribution accuracy, and raise the efficiency of our underlying cloud and data infrastructure. * Component Ownership: Act as the technical expert for your service area. You will take ownership of the full lifecycle of your services, ensuring high code quality, effective monitoring, and low operational overhead. * Bridge the Gap: Work effectively with product and infrastructure teams to turn business needs into technical specifications. You will develop tooling that simplifies the complex world of cloud economics for other engineers and budget owners. * Mentorship & Best Practices: Uplevel the team by contributing to code reviews, sharing engineering best practices, and mentoring junior engineers. You will drive a shift-left culture — catching cost and efficiency problems early in the development cycle — by integrating efficiency checks directly into the developer workflow. * Automate the manual: Build the automation and AI/agentic tooling that detects waste, attributes cost, and remediates issues with minimal human intervention — turning repetitive cost operations into self-running systems. What We Look For * 6+ years of experience, including producing high-quality production code and detailed technical design documents for distributed systems. * Proven ability to break down complex, multi-month projects into actionable milestones and tasks. * Solid grasp of industry best practices for distributed systems (monitoring, documentation, testing, and "fit and finish"). * Experience in optimizing cloud resource utilization or developing large-scale distributed tools. * Ability to make well-reasoned trade-offs between system performance, development velocity, and technical debt.   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

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI products so our customers can use deep data insights to improve their business. We are the Data Visualization team, a core part of the AI/BI organization. Our mission is to enable everyone in an organization to make intelligent business decisions informed by the best data available. We empower business teams via self-service analytics, helping them author high-quality visualizations and dashboards using our AI-first authoring experience. We own the visualization library, the dashboarding canvas, and the agentic authoring workflows that bridge the gap between complex data and actionable insights. We are seeking a dedicated Engineering Leader for our Data Visualization team in Bellevue. This team is responsible for the entire life cycle of visual insights: from the underlying visualization framework (using technologies like React and Vega-Lite) to building advanced features like field variables, drill-downs, and AI-driven chart generation. You will report directly to the Senior Manager of Engineering. THE ROLE * Lead a Talented Team: You will lead a high-performing engineering team in Bellevue focused on revolutionizing how users visualize data with AI/BI Dashboards. * Talent Development: You will oversee the sustained recruitment of top-tier frontend and visualization talent and foster a culture of mentorship and professional growth. * Strategic Execution: You will build processes to implement the AI/BI product vision, focusing on "BI Takeout" initiatives to replace legacy tools with superior Databricks-native experiences. * Operational Excellence: You will ensure the visualization platform is not only feature-rich but also high-performing, reliable, and easy to operate. * Technical Stewardship: You will manage technical debt (e.g., framework migrations, performance optimizations) while balancing an ambitious roadmap that includes agentic authoring and semantic model integration. WHAT WE LOOK FOR * Frontend Expertise: 5+ years of hands-on experience in web frontend development, with a strong preference for React-based applications and modern state management (e.g., MobX). * Management Experience: 2+ years leading and managing high-performing engineering teams, ideally in a fast-paced product environment. * Visualization Passion: A deep interest in data visualization, charting libraries (e.g., D3.js, Vega-Lite), or UX for complex data tools. * Efficiency Driver: Proven ability to drive technical initiatives that improve team productivity, such as optimizing CI/CD runtimes or streamlining visualization frameworks. * Talent Magnet: A strong track record of attracting, hiring, and retaining top engineering talent, including the ability to mentor engineers at various levels. * Collaborative Leader: Experience working with cross-functional stakeholders including Product Management, Design, and AI Research teams to deliver agentic product experiences. * Adaptability: Resilience in a rapidly evolving tech environment, with the ability to pivot priorities based on customer feedback and emerging AI capabilities.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $180,500—$247,000 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.

Mongodb

The IT Go-to-Market organization builds and operates the technology platforms that power Sales, Marketing, and Revenue Operations. These products enable scalable lead generation, pipeline management, deal execution, and revenue insights across the business. As a Senior Product Manager on the IT Go-to-Market (GTM) team, you will own internal technology products that support critical GTM capabilities such as CRM platforms, lead-to-quote workflows, sales productivity tools, and marketing automation systems. You will work closely with Sales, Marketing and RevOps teams to define product strategy, prioritize initiatives, and deliver solutions that improve seller productivity, accelerate deal execution, and enable data-driven decision-making. We are looking to speak to candidates who are based in Palo Alto for our hybrid working model. RESPONSIBILITIES Domain Expertise * Lead product strategy for partner-first GTM and PRM capabilities * Build scalable workflows for deal registration, attribution, approvals, and partner operations * Drive AI-enabled automation for partner administration and lifecycle management * Define integrations between Salesforce, partner platforms, telemetry, and internal systems * Improve partner visibility, operational efficiency, and partner engagement processes * Partner with sales, alliances, and operations teams on scalable partner platform solutions * Deep understanding of Partner engagement for all Partner types * Familiarity with Partner programs, Incentives, Levelling and Tracking PRODUCT STRATEGY & VISION * Define and communicate the product vision and roadmap for GTM technology platforms * Translate business strategy and operational needs into scalable product capabilities * Identify opportunities to improve seller productivity, marketing effectiveness, and revenue workflows through technology * Align product strategy with enterprise architecture, security, and platform standards PRODUCT LIFECYCLE OWNERSHIP * Own the end-to-end lifecycle of GTM products from discovery and requirements through delivery and continuous improvement * Develop clear product requirements (PRDs), define success metrics, and track product adoption and impact * Use user feedback and data insights to refine priorities and improve the product experience STAKEHOLDER ENGAGEMENT * Partner with Sales, Marketing, RevOps, Finance, Security, and IT teams to understand pain points and identify opportunities * Represent the voice of the user, ensuring solutions address real operational challenges * Communicate priorities, trade-offs, timelines, and progress clearly to stakeholders and leadership * Build strong partnerships with engineering teams, architects, and external vendors ROADMAP & DELIVERY * Own and maintain the product backlog and roadmap, prioritizing work based on business impact and technical feasibility * Collaborate closely with engineering teams in an Agile environment to plan and deliver product releases * Balance new feature development with platform improvements and technical debt * Ensure smooth product delivery by managing cross-team dependencies and aligning stakeholders ADOPTION & CHANGE MANAGEMENT * Partner with enablement and change management teams to drive adoption of new GTM capabilities * Communicate product changes and new features across impacted teams * Monitor KPIs and support incident or problem management when issues arise REQUIREMENTS * 8+ years of Product Management experience in enterprise SaaS or cloud platforms * Experience building or managing PRM, partner operations, or channel platforms * Strong understanding of deal registration, attribution, partner workflows, and GTM operations * Experience with AI native, Custom build or Salesforce-based partner ecosystems and integrations * Experience translating complex partner requirements into scalable platform capabilities * Strong cross-functional collaboration and stakeholder management skills * Experience building custom workflow applications, automation platforms, or AI-powered tools * Deep knowledge of Salesforce CRM and customer lifecycle processes * Ability to partner effectively with engineering, operations, and business stakeholders * Familiarity with AI-enabled GTM workflows or automation tools * Experience using product metrics and analytics to guide decisions * Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.   REQ ID: 2273461617 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $136,000—$266,000 USD

Mongodb

The IT SaaS Engineering Team plays a critical role in enabling MongoDB’s post-sales business processes, including Customer Success, Support, Renewals, Services, and account management workflows. By leveraging Salesforce and related business systems, the team ensures that post-sales teams have the tools, automation, security, and governance needed to effectively manage customer relationships, support customer outcomes, improve operational efficiency, and drive long-term customer growth. With deep expertise in Salesforce development, platform governance, automation, integrations, and system operations, the team continuously enhances the CRM platform to support evolving post-sales business needs. The team partners closely with stakeholders across Customer Success, Technical Services, Revenue Operations, Sales Operations, Billing, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. ROLE OVERVIEW We are looking for a highly experienced Lead Salesforce Engineer to drive the architecture, design, and evolution of critical Salesforce and CRM solutions supporting MongoDB’s post-sales business processes. This role combines deep technical leadership, hands-on solution design, cross-functional stakeholder partnership, people management, and a modern engineering mindset that embraces AI-powered development responsibly to improve productivity, quality, and long-term platform health. The ideal candidate will have strong experience designing scalable Salesforce solutions for complex customer lifecycle processes, including customer success operations, support workflows, renewals, account management, customer health, and post-sales automation. WHAT YOU’LL DO * Lead the architecture, design, and development of scalable Salesforce solutions supporting post-sales teams, including Customer Success, Support, Renewals, Services, and account management workflows * Translate business requirements into secure, maintainable, and scalable technical solutions aligned with long-term platform strategy * Partner closely with business stakeholders, product teams, and engineering teams to refine requirements and deliver high-quality post-sales solutions * Oversee integrations between Salesforce and other enterprise platforms, ensuring reliable data flow and sound system design across the customer lifecycle * Drive platform optimization across performance, scalability, usability, maintainability, and governance * Establish and enforce engineering standards for coding, testing, documentation, CI/CD, and release management * Troubleshoot complex technical and production issues and drive long-term, scalable resolutions * Maintain technical documentation, including architecture decisions, design specifications, and implementation details * Stay current with Salesforce platform capabilities, releases, and best practices, and proactively recommend improvements * Proactively identify process and technical gaps, and help define and drive tech debt reduction initiatives, platform modernization efforts, and engineering efficiency improvements across the Salesforce ecosystem * Leverage AI-powered engineering tools such as Apex Guru, GitHub Copilot, Salesforce Agentforce/Vibes, Claude Code, and similar capabilities to improve development productivity, code quality, design effectiveness, troubleshooting, and documentation, while applying strong judgment around security, privacy, accuracy, and responsible AI usage RESPONSIBILITIES * Provide technical leadership through architecture reviews, design reviews, code reviews, and engineering best practices * Act as a subject matter expert on Salesforce development, platform capabilities, automation, integrations, and scalable CRM solution design for post-sales business processes * Lead technical design sessions and identify gaps between current-state and future-state solutions * Design and support scalable solutions for customer success, support operations, renewals, customer health, account management, and related post-sales workflows * Evaluate emerging technologies, frameworks, and engineering practices, and drive proof-of-concepts where appropriate * Mentor engineers across the team and foster a culture of ownership, collaboration, continuous learning, and engineering excellence * Support team growth by coaching, developing talent, and helping build a high-performing engineering organization * Influence business and technical stakeholders through strong communication, sound judgment, and effective problem-solving * Operate effectively in a fast-changing environment by managing priorities, driving accountability, and ensuring high-quality execution MINIMUM REQUIREMENTS * Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field * 12+ years of experience in Salesforce engineering, application development, or technical leadership within global SaaS organizations * Strong hands-on experience with Apex, Lightning Web Components, Flows, integrations, and Salesforce platform customization * Strong understanding of Salesforce architecture, governor limits, design patterns, and scalable solution design * Experience designing or supporting Salesforce solutions for post-sales functions such as Customer Success, Support, Renewals, Services, or customer lifecycle management * Experience with DevOps, CI/CD, release management, and Agile/Scrum delivery models * Salesforce Platform Developer II certification required; Salesforce Certified Application Architect and Salesforce Certified System Architect certifications strongly preferred SUCCESS MEASURES IN 3 MONTHS, YOU WILL Develop a strong understanding of MongoDB’s Salesforce ecosystem, post-sales business processes, and technical landscape. Build trusted relationships with key stakeholders across Customer Success, Support, Revenue Operations, and Engineering. IN 6 MONTHS, YOU WILL Lead the technical design and successful delivery of critical Salesforce initiatives supporting post-sales workflows. Establish yourself as a trusted technical leader within the Business Systems team. IN 12 MONTHS, YOU WILL Be the go-to technical leader for Salesforce architecture, complex solution design, and platform strategy for post-sales systems. Elevate team quality through strong technical leadership, mentoring, and scalable engineering practices ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 2273476298

Mongodb

We are seeking a Salesforce Engineer III to design, build, and support secure, scalable Salesforce solutions that support critical business operations. This is a senior individual contributor role requiring strong hands-on technical expertise, sound engineering judgment, and experience working in regulated environments. This position supports systems and data subject to FedRAMP and other U.S. government compliance requirements. Due to the nature of the work, U.S. citizenship is required. This role will be based remotely in the United States. WHAT YOU’LL DO * Design, build, and maintain Salesforce solutions across sales, service, customer, and operational workflows * Implement functionality using Salesforce configuration, Flows, Apex, Lightning Web Components (LWC), SOQL, and platform automation * Develop and support integrations between Salesforce and external enterprise systems * Translate business requirements into secure, scalable, and maintainable technical solutions * Participate in technical design reviews, sprint planning, code reviews, testing, deployments, and production support * Troubleshoot and resolve issues related to automation, integrations, data integrity, and system performance * Create and maintain technical documentation, support UAT and regression testing, and assist with user enablement * Ensure all solutions comply with Salesforce best practices, internal security standards, and regulatory requirements * Leverage AI-powered development tools to improve productivity and analysis, while adhering to security and compliance guidelines RESPONSIBILITIES * Technical Delivery: Own end-to-end delivery of Salesforce features using a mix of declarative and programmatic solutions * Secure Engineering: Design and implement solutions that meet FedRAMP, security, and compliance requirements, including least-privilege access and auditability * Integration Design: Build and maintain secure integrations between Salesforce and downstream systems * Engineering Excellence: Maintain high standards for code quality, test coverage, and modular design * Platform Optimization: Identify and remediate performance issues and technical debt * Collaboration & Influence: Partner with cross-functional stakeholders and contribute to shared engineering standards and best practices MINIMUM REQUIREMENTS * Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience * 6+ years of hands-on Salesforce development experience * Strong experience with Apex, Lightning Web Components, Flows, SOQL, and Salesforce APIs * Experience designing and supporting complex Salesforce automation and business workflows * Experience integrating Salesforce with external enterprise systems * Familiarity with Agile/Scrum methodologies, CI/CD pipelines, version control, and Salesforce release management * Strong understanding of Salesforce security, data governance, and implementation best practices * Experience working in regulated or compliance-driven environments (e.g., FedRAMP, SOC 2, ISO 27001, HIPAA) * Strong analytical, troubleshooting, communication, and collaboration skills * Salesforce Platform Developer I or II certification required * U.S. citizenship is required due to federal compliance obligations PREFERRED QUALIFICATIONS * Prior experience supporting FedRAMP-authorized or U.S. government environments * Experience implementing role-based access control, field-level security, encryption, and audit logging in Salesforce * Familiarity with Salesforce DX, Copado, Gearset, or Git-based DevOps workflows * Working knowledge of JavaScript, HTML, CSS, and Visualforce * Experience supporting UAT, regression testing, and business enablement in regulated environments * Practical experience using AI-assisted development tools in a secure and compliant manner SUCCESS MEASURES * In 3 months: Gain a strong understanding of the Salesforce architecture, compliance constraints, and business processes * In 6 months: Deliver secure, compliant enhancements and become a dependable contributor to key initiatives * In 12 months: Be recognized as a trusted Salesforce SME, influencing platform design, security posture, and engineering standards ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 2273452169 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $101,000—$198,000 USD

Mongodb

The IT Go-to-Market organization builds and operates the technology platforms that power Sales, Marketing, and Revenue Operations. These products enable scalable lead generation, pipeline management, deal execution, and revenue insights across the business. As a Senior Product Manager on the IT Go-to-Market (GTM) team, you will own internal technology products that support critical GTM capabilities such as CRM platforms, lead-to-quote workflows, sales productivity tools, and marketing automation systems. You will work closely with Sales, Marketing and RevOps  teams to define product strategy, prioritize initiatives, and deliver solutions that improve seller productivity, accelerate deal execution, and enable data-driven decision-making. RESPONSIBILITIES Product Strategy & Vision * Define and communicate the product vision and roadmap for GTM technology platforms * Translate business strategy and operational needs into scalable product capabilities * Identify opportunities to improve seller productivity, marketing effectiveness, and revenue workflows through technology * Align product strategy with enterprise architecture, security, and platform standards Product Lifecycle Ownership * Own the end-to-end lifecycle of GTM products from discovery and requirements through delivery and continuous improvement * Develop clear product requirements (PRDs), define success metrics, and track product adoption and impact * Use user feedback and data insights to refine priorities and improve the product experience Stakeholder Engagement * Partner with Sales, Marketing, RevOps, Finance, Security, and IT teams to understand pain points and identify opportunities * Represent the voice of the user, ensuring solutions address real operational challenges * Communicate priorities, trade-offs, timelines, and progress clearly to stakeholders and leadership * Build strong partnerships with engineering teams, architects, and external vendors Roadmap & Delivery * Own and maintain the product backlog and roadmap, prioritizing work based on business impact and technical feasibility * Collaborate closely with engineering teams in an Agile environment to plan and deliver product releases * Balance new feature development with platform improvements and technical debt * Ensure smooth product delivery by managing cross-team dependencies and aligning stakeholders Adoption & Change Management * Partner with enablement and change management teams to drive adoption of new GTM capabilities * Communicate product changes and new features across impacted teams * Monitor KPIs and support incident or problem management when issues arise REQUIREMENTS * 10+ years of experience in product management, ideally supporting enterprise or internal technology platforms * Experience working with Go-to-Market systems such as CRM platforms, marketing automation tools, or lead-to-quote workflows * Strong ability to translate business needs into clear product strategy, requirements, and roadmap priorities * Experience working closely with engineering teams in Agile delivery environments * Strong stakeholder management skills across business and technical teams * Technical fluency in enterprise systems, integrations, and SaaS platforms * Excellent communication skills with the ability to explain complex technical and business concepts to diverse audiences * Experience with Salesforce or comparable CRM platforms. * Familiarity with AI-enabled GTM workflows or automation tools * Experience using product metrics and analytics to guide decisions * Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 1273386451 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $136,000—$266,000 USD

Mongodb

The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth. With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. ROLE OVERVIEW We are looking for a highly capable Senior Salesforce Engineer to design, build, and maintain scalable CRM solutions that support MongoDB’s Sales organization. This role combines strong hands-on Salesforce development, solution design, cross-functional collaboration, and a modern engineering mindset to deliver reliable, maintainable, and high-quality solutions across the core Salesforce platform. WHAT YOU’LL DO * Design, build, and maintain scalable Salesforce solutions across the core CRM platform, including custom development, automation, and integrations * Partner with business stakeholders, program managers, and technical teams to understand requirements and translate them into secure, maintainable, and scalable technical solutions * Own delivery across the full solution lifecycle, including design, development, testing, deployment, documentation, and production support * Collaborate closely with globally distributed engineering teams to deliver reliable, secure, and well-governed solutions in an Agile environment * Drive strong engineering practices across code quality, documentation, release management, and platform governance * Identify opportunities to improve system performance, simplify architecture, reduce technical debt, and strengthen the overall Salesforce operating model * Troubleshoot complex technical and production issues and deliver sustainable, long-term fixes * Stay current with Salesforce platform capabilities, engineering best practices, and emerging technologies, and apply them thoughtfully to improve delivery quality * Leverage AI-powered engineering tools such as GitHub Copilot, Agentforce, Claude Code, Cursor, and similar capabilities to improve productivity, code quality troubleshooting, and documentation, while using sound judgment around security, privacy, and responsible AI usage RESPONSIBILITIES * Develop, test, document, and deploy high-quality Salesforce solutions aligned with business needs and engineering best practices * Support enhancements, break/fix issues, and ongoing maintenance across Salesforce applications and related integrations * Investigate technical and integration issues and work closely with development, operations, admin, and business teams to resolve them effectively * Communicate clearly with stakeholders and teammates on delivery status, technical challenges, and solution options * Manage multiple priorities effectively while ensuring high-quality and timely delivery * Research new platform capabilities, prototypes, and engineering approaches that can improve the Salesforce ecosystem * Provide mentorship and technical guidance to junior engineers and administrators where needed * Build strong working relationships across teams and contribute positively to a culture of ownership, collaboration, and continuous improvement MINIMUM REQUIREMENTS * Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field * 8+ years of experience in Salesforce development and enterprise application engineering * Strong hands-on experience with Apex, Lightning Web Components (LWC), JavaScript, Flows, SOQL, APIs, and Salesforce platform customization * Strong understanding of Salesforce architecture, governor limits, declarative automation, integration patterns, and scalable solution design * Experience with CI/CD, deployment processes, code refactoring, and performance optimization in Salesforce environments * Experience integrating Salesforce with enterprise systems using APIs, ETL tools, and automation platforms * Salesforce Platform Developer II certification strongly preferred; additional certifications such as JavaScript Developer, Advanced Administrator, Application Architect, or System Architect are a plus * Good understanding of AI-powered and agentic development tools such as Cursor, Claude Code, Agentforce, and similar platforms, with the ability to use them effectively to improve productivity, troubleshooting, documentation, and solution delivery SUCCESS MEASURES * In 3 months, you will: Develop a strong understanding of MongoDB’s Salesforce ecosystem, business processes, and current implementations by working closely with senior engineers and stakeholders * In 6 months, you will: Successfully deliver one or more critical Salesforce initiatives and establish yourself as a trusted technical contributor within the Sales Apps team * In 12 months, you will: Become a go-to engineer for key Salesforce solutions, build strong cross-functional partnerships, and contribute meaningfully to the scalability, quality, and long-term evolution of the CRM platform ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 2273476299

Mongodb

The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth. With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. ROLE OVERVIEW We are looking for a highly capable Senior Salesforce Engineer to design, build, and maintain scalable CRM solutions that support MongoDB’s Sales organization. This role combines strong hands-on Salesforce development, solution design, cross-functional collaboration, and a modern engineering mindset to deliver reliable, maintainable, and high-quality solutions across the core Salesforce platform. WHAT YOU’LL DO * Design, build, and maintain scalable Salesforce solutions across the core CRM platform, including custom development, automation, and integrations * Partner with business stakeholders, program managers, and technical teams to understand requirements and translate them into secure, maintainable, and scalable technical solutions * Own delivery across the full solution lifecycle, including design, development, testing, deployment, documentation, and production support * Collaborate closely with globally distributed engineering teams to deliver reliable, secure, and well-governed solutions in an Agile environment * Drive strong engineering practices across code quality, documentation, release management, and platform governance * Identify opportunities to improve system performance, simplify architecture, reduce technical debt, and strengthen the overall Salesforce operating model * Troubleshoot complex technical and production issues and deliver sustainable, long-term fixes * Stay current with Salesforce platform capabilities, engineering best practices, and emerging technologies, and apply them thoughtfully to improve delivery quality * Leverage AI-powered engineering tools such as GitHub Copilot, Agentforce, Claude Code, Cursor, and similar capabilities to improve productivity, code quality, troubleshooting and documentation, while using sound judgment around security, privacy, and responsible AI usage RESPONSIBILITIES * Develop, test, document, and deploy high-quality Salesforce solutions aligned with business needs and engineering best practices * Support enhancements, break/fix issues, and ongoing maintenance across Salesforce applications and related integrations * Investigate technical and integration issues and work closely with development, operations, admin, and business teams to resolve them effectively * Communicate clearly with stakeholders and teammates on delivery status, technical challenges, and solution options * Manage multiple priorities effectively while ensuring high-quality and timely delivery * Research new platform capabilities, prototypes, and engineering approaches that can improve the Salesforce ecosystem * Provide mentorship and technical guidance to junior engineers and administrators where needed * Build strong working relationships across teams and contribute positively to a culture of ownership, collaboration, and continuous improvement MINIMUM REQUIREMENTS * Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field * 8+ years of experience in Salesforce development and enterprise application engineering * Strong hands-on experience with Apex, Lightning Web Components (LWC), JavaScript, Flows, SOQL, APIs, and Salesforce platform customization * Strong understanding of Salesforce architecture, governor limits, declarative automation, integration patterns, and scalable solution design * Experience with CI/CD, deployment processes, code refactoring, and performance optimization in Salesforce environments * Experience integrating Salesforce with enterprise systems using APIs, ETL tools, and automation platforms * Salesforce Platform Developer II certification strongly preferred; additional certifications such as JavaScript Developer, Advanced Administrator, Application Architect, or System Architect are a plus * Good understanding of AI-powered and agentic development tools such as Cursor, Claude Code, Agentforce, and similar platforms, with the ability to use them effectively to improve productivity, troubleshooting, documentation, and solution delivery SUCCESS MEASURES * In 3 months, you will: Develop a strong understanding of MongoDB’s Salesforce ecosystem, business processes, and current implementations by working closely with senior engineers and stakeholders * In 6 months, you will: Successfully deliver one or more critical Salesforce initiatives and establish yourself as a trusted technical contributor within the Sales Apps team * In 12 months, you will: Become a go-to engineer for key Salesforce solutions, build strong cross-functional partnerships, and contribute meaningfully to the scalability, quality, and long-term evolution of the CRM platform ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 2273472449