Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead AI-focused marketing strategy and ecosystem to position MongoDB as the default data platform for agentic applications. Own AI narrative, visibility in AI systems, ecosystem integrations and partnerships, documentation and training-data accuracy standards, and acquisition channels for agentic builders. Drive cross-functional alignment and measurable outcomes with product, engineering, and partner teams.

Work on user-facing features built on the MongoDB query engine, implement and test C++ code, improve query performance and robustness, integrate query with other products, and participate in code reviews and design. Deliver new features, fix bugs, and mentor peers over time.

Lead MongoDB's marketing efforts focused on startups and the VC ecosystem, executing programs, building relationships, and measuring impact to strengthen presence in the Bay Area.

Support P&T FP&A through planning, forecasting, reporting, and financial modeling. Partner with stakeholders on headcount planning, month-end close tasks, ad-hoc analyses, process improvements, and automation, while leveraging internal systems and AI tools to drive decision-making.

Lead AMER (West) sales strategy and planning, partner with senior sales leaders to run business reviews, design AI GTM strategy, pilot sales programs, analyze large datasets, and manage one direct report to improve productivity and adoption of new capabilities.

The Senior Customer Success Manager will serve as a strategic advisor, managing customer portfolios and ensuring optimal customer outcomes through guidance on MongoDB best practices and strategies to mitigate risks.

Provide technical advisory and hands-on support to large enterprise customers for MongoDB products and services. Manage architecture, performance, recovery, security, and troubleshooting across on-prem and cloud deployments. Build relationships, coordinate issue resolution, advocate customer needs to product teams, and operate as primary technical contact for named accounts.

Lead design and implementation of search query architecture and execution for Atlas Search. Architect features, drive complex projects, optimize query language and performance, debug multithreaded Java and Rust systems, mentor teammates, and collaborate across teams to deliver scalable relevance and vector search capabilities.

Engagement Managers at MongoDB drive Professional Services sales, manage project scoping, and collaborate with teams to ensure customer success.

As a Software Engineer 3, you will design and build core components for a multi-tenant inference platform integrated with MongoDB Atlas, collaborating with ML engineers to enhance performance and reliability.