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

Lead design and implementation of batch and stream loading systems to ingest terabytes daily. Provide technical leadership on the Streamloader team, collaborate with architects, engineers, product, sales, and customers, and develop high-performance distributed software in C++ and/or Java while ensuring system reliability and customer success.

Develop, test, and debug components of a high-performance data warehouse. Create design docs, implement designs, fix review issues, and deliver tasks on schedule while collaborating with architects and engineers.

Design and implement production ML features, close behavior gaps with common frameworks, investigate divergences, improve performance and stability, and document designs and tests for geospatial and large-scale ML workflows.

Support product management with roadmap planning, backlog maintenance, release coordination, and cross-functional communication. Track dependencies and milestones, assist release readiness, synthesize input from technical and customer-facing teams, participate in customer/technical reviews, and gradually take ownership of product areas.

Build, maintain, and improve automated test frameworks and tooling to validate backend services, APIs, distributed workflows, and data pipelines. Reduce flaky tests, increase coverage, and contribute automated performance and scalability testing. Collaborate with software and QA engineers to improve testability, run tests in CI/CD, and operate primarily in Linux environments.

Design, implement, test, debug and deliver components of a high-performance distributed data warehouse. Create design docs, address code-review feedback, and complete assigned tasks independently to meet deadlines.

Lead product strategy and roadmap for Ocients database solutions. Translate customer problems into feature specifications, prioritize high-value work, collaborate with technical PMs, sales, and marketing, drive complex projects to delivery, and engage directly with customers and partners on large-scale data ingest, warehousing, and analytics use cases.

Lead technical strategy and win execution for CSP opportunities: run discovery workshops, design OcientAIQ hybrid architectures, integrate with cloud data/AI ecosystems, orchestrate partners, author customer specifications, support pilots and production sizing, and translate field feedback into product and engineering improvements.