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

Drive net-new enterprise sales within the San Francisco Bay Area startup and AI ecosystem. Build executive relationships with founders, venture capital firms, developers, and technical decision-makers; develop data-driven go-to-market strategies; manage complex, multi-stakeholder sales cycles; establish product and go-to-market partnerships; exceed revenue targets; and position MongoDB’s data platform against competitors.

Design, architect, build, and deliver core identity and access management services for MongoDB Atlas. Lead complex technical projects from specification through delivery, improve engineering practices and code quality, define priorities, and mentor team members. The role focuses on authentication, authorization, backend systems, and secure customer-facing IAM features while supporting FedRAMP requirements.

Leads Recruiting Operations strategy across process optimization, recruiting technology modernization, talent intelligence, data architecture, governance, and compliance. Owns the TA tooling roadmap, vendor relationships, workflow redesign, reporting, and recruiting analytics while partnering across People, HR Technology, legal, security, and business teams. Manages and develops the RecOps team, drives AI and automation initiatives, ensures data integrity and regulatory adherence, and delivers scalable hiring infrastructure.

Drive expansion within MongoDB’s existing enterprise customer base by prospecting for new workloads, engaging technical and executive stakeholders, managing the full sales cycle, and achieving revenue targets. Build strategic territory plans and Salesforce/Clari pipelines, collaborate with partners and cloud providers, and communicate the business value of complex enterprise technology.

Leads a regional team of MongoDB Support Engineers within a global 24x7 technical services organization. Responsibilities include people management, customer escalations, technical troubleshooting, cross-functional collaboration, hiring and performance management, KPI development, process improvement, and customer advocacy. The role also requires developing team growth plans, supporting MongoDB and Atlas implementations, contributing to knowledge resources, and driving efficiency across follow-the-sun support operations.

Lead the long-term vision and strategy for MongoDB Search infrastructure. Partner with engineering, SRE, and solutions architecture teams to translate distributed-systems tradeoffs into customer value, improve observability and operational reliability, define SLOs, and guide major search capabilities from concept through general availability. Drive customer discovery and strategic investments supporting scalable vector, hybrid, and AI-native applications.

Advise enterprise customers on complex MongoDB deployments, mitigate technical and business risks, conduct executive business reviews, and drive retention, revenue realization, adoption, advocacy, and account maturity. Manage strategic portfolios, forecast outcomes, maintain customer data hygiene, identify expansion opportunities, coordinate cross-functional resources, influence product strategy through customer feedback, and mentor team members and new hires.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.

Responsible for expanding existing MongoDB accounts by prospecting into CTOs and engineering leaders, landing new workloads, managing full sales cycle, executing strategic territory plans, collaborating with partners, and building pipeline using Salesforce, Clari, and prospecting tools.