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

Experiential learning program introducing students to market research and analytics. Participants receive scholarships, technical training, mentorship, professional development, and experience using consumer data to solve real-world business challenges. They will translate data into actionable client insights and present a final case study. The program is intended for juniors graduating between 2027 and 2029 who are interested in insights, data analytics, paid media, market research, CPG, or retail.

Own revenue growth for Circana’s Commerce business across retail media networks, commerce platforms, and strategic partners. Build executive relationships, account growth plans, pipelines, and consultative sales opportunities from discovery through negotiation, close, renewal, and expansion. Translate measurement, data, analytics, audience, and technology capabilities into client value propositions. Maintain forecasts, coordinate cross-functional teams, develop executive-ready proposals, and scale repeatable commercial approaches. This is a senior individual-contributor role without direct people management.

Advises a consumer health client on pricing, promotion, assortment, and retailer decisions. Interprets elasticity, transferability, and optimization outputs; coordinates modeling work; leads client workshops; develops commercial recommendations; manages analytics program cadences; trains users; and identifies follow-on consulting opportunities. Requires regular onsite collaboration in Summit, New Jersey and presentation to senior stakeholders.

Lead the design and production delivery of agentic AI systems, translating domain expertise into ontologies, tool contracts, evaluation frameworks, and reliable orchestration patterns. Own context management, guardrails, tracing, testing, and observability while setting technical direction for an engineering pod. Collaborate with engineers, subject matter experts, product leaders, security teams, executives, and clients. The role requires production experience with agent frameworks, multiple model families, cloud AI platforms, agentic development practices, and coding tools.

Designs, automates, and supports enterprise DevOps platforms across on-premises and hybrid cloud environments. Responsibilities include CI/CD, infrastructure as code, Linux administration, Kubernetes and container platforms, Azure and GCP operations, AI/ML infrastructure support, monitoring, reliability engineering, production support, security, disaster recovery, and cloud modernization. The role partners with infrastructure, development, security, architecture, and operations teams while participating in incident management and on-call rotations.

Build and deploy agentic AI systems from design through production, including graphs, tools, MCP servers, evaluation suites, guardrails, and supporting services. Collaborate with domain experts, debug agent traces, improve prompts and context management, and automate development workflows. The role requires strong Python, experience shipping agentic systems to real users, cloud-based AI workloads, agentic coding tools, and clear communication. Preferred experience includes TypeScript, SQL, React, large-scale data engineering, observability, and contributions to agent frameworks or MCP servers.

Leads global media measurement growth strategy, strategic initiatives, client pilots, feasibility assessments, competitive analysis, and go-to-market planning. Partners with executive leadership, product, delivery, media, clients, and external industry organizations to influence product roadmaps, develop partnerships, build business cases, and drive adoption and revenue growth. Uses financial analysis, industry research, data visualization, and analytics to shape measurement solutions.

Serve as strategic partner to senior client stakeholders, translating complex syndicated and modeled datasets into actionable, revenue-driving insights. Lead problem scoping, end-to-end analysis, executive storytelling, and cross-functional collaboration to expand solution adoption, coach team members, and support account growth and renewals. Hybrid role in Chicago (2 days onsite).

Design and develop low-latency, high-throughput distributed database kernels for massively parallel analytics. Responsibilities include architecture, modern C++ development, MPI/OpenMP query execution, SIMD and hardware optimization, distributed networking, database internals, in-database machine learning, vector indexing, performance tuning, code reviews, mentoring, and resolving scalability issues across large-scale clustered systems.

Design and develop massively parallel distributed database kernels for real-time analytics at terabyte and petabyte scale. Responsibilities include low-level C++ development, MPP query execution, SIMD and hardware optimization, distributed communication using MPI and RDMA technologies, database internals, vector indexing, in-database machine learning, performance tuning, architecture reviews, mentoring, and resolving scalability issues.