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

Leads first-line technology and cybersecurity risk and controls across multiple financial-services entities. Advises the CTO, CISO, senior leaders, and board committees; owns RCSA, control testing, risk reporting, issue remediation, audits, and regulatory exams. Builds and governs enterprise programs including Insider Threat, End User Computing, AI Governance, and IT Asset Management while aligning practices with NIST, COBIT, FFIEC, and OCC requirements.

Leads the strategy, roadmap, operating model, and execution of the company’s digital employee experience. Responsibilities include improving employee journeys, internal service channels, knowledge management, collaboration tools, workflow automation, measurement, technology adoption, and change management. The role partners across IT, HR, Security, Workplace, Communications, Procurement, and business teams; reports on adoption and ROI; and manages a cross-functional digital workplace team.

Leads enterprise-wide AI transformation by developing strategy, identifying high-value generative and agentic AI opportunities, guiding governance and responsible adoption, and delivering measurable business outcomes. Partners with executives and cross-functional technology and business teams, leads product managers and engineers, evaluates AI technologies and vendors, establishes KPIs, and recruits and develops the AI transformation organization.

Build and advance application and product security across the engineering organization. Responsibilities include establishing secure defaults, CI guardrails, security requirements, threat modeling, risk assessments, penetration testing, vulnerability remediation, secure coding education, roadmap ownership, and hands-on code review. The role partners closely with product, engineering, DevOps, and services teams to secure applications, microservices, and AI features while enabling efficient development.

Supports clients and therapists through phone and live chat by troubleshooting billing and platform issues, explaining insurance benefits, educating users, and identifying root causes for Product teams. The role advocates for customers, resolves problems, meets conversation-volume metrics, and adapts to changing priorities in a fully remote startup environment.

As a Data Analyst, you'll drive data insights for product development at Grow Therapy, supporting reporting and experimentation projects.

Own the AI strategy, roadmaps, backlogs, and operational performance of agentic HR and Marketing portfolios. Translate departmental needs into AI product requirements, orchestrate agent architectures, monitor reliability and adoption, manage knowledge bases, and lead validation, governance, compliance, change management, training, and power-user enablement. Partner with AI engineering, architecture, IT, Legal, Brand, Compensation, HR, and Marketing leaders to scale secure, compliant automation.

Lead the strategy, roadmap, backlog, integration, governance, and operational scaling of Coupa’s internal AI Foundations platform. Coordinate AI, engineering, IT, security, legal, and enterprise stakeholders; manage platform integrations and monitoring; operationalize AI governance; enable internal adoption; and cultivate subject-matter expert communities. The role also requires architecting, building, deploying, and scaling AI agents and agentic workflows across enterprise use cases.

Own Coupa’s GTM and Revenue Operations agentic AI product suite, translating sales and RevOps needs into AI product requirements, roadmaps, workflows, and orchestration strategies. Prioritize use cases, manage the backlog, define agent boundaries, monitor performance, lead testing and adoption, and establish governance. Partner with GTM leaders, architects, engineering, IT, and PMO teams to scale autonomous sales workflows and deliver measurable revenue and productivity impact.

Develop and maintain Java and Spring backend services and APIs, integrating SQL Server and Cassandra databases with internal systems. Write tested, scalable code; implement database queries; debug defects and production issues; and participate in Agile/Scrum delivery. Collaborate with product managers and QA engineers while applying version control, CI/CD, DevOps, cloud infrastructure, Kafka messaging, and AI-powered development tools.

Client-facing sales role to grow BlackRock Model Portfolios by owning territory relationships, driving model sales to financial advisors, delivering portfolio construction expertise, partnering with product and solutions teams, and running in-person and digital client events to accelerate asset growth.

Build and maintain production-grade Python components that implement systematic signals and portfolio tooling. Integrate AI tools into development and investment workflows, partner with global tech teams to ingest and pipeline data, and support production systems with monitoring, incident response, and deployment processes. Document and train teammates while collaborating with researchers and portfolio managers.

Serve as a technical expert for Datadog’s Service Management products, advising enterprise customers and Field teams on incident response, on-call, event correlation, workflow automation, and App Builder architectures. Build proofs of concept, small-scale deployments, reusable technical collateral, and best practices. Provide product feedback based on customer engagements to influence roadmap development. The role requires engineering expertise, production incident response or automation experience, observability knowledge, coding ability, consultative customer skills, and travel up to 40%.

Investigate and resolve complex Datadog Agent escalations, lead technical calls, mentor global support, run office hours, collaborate with Engineering/Product to improve the platform, and automate troubleshooting using scripting and container knowledge.

Build and scale Datadog's partner ecosystem across North America by recruiting CSPs, MSPs, SIs, and resellers; enable and activate partners via training and joint GTM; coordinate technical and marketing launches; drive partner-sourced pipeline and revenue; run partner performance reviews; serve as regional sponsor for key cloud alliances and own regional channels metrics.

Design intuitive internal tools and enterprise workflows by conducting user research, mapping processes, prototyping, usability testing, and delivering high-fidelity designs. Collaborate with product, engineering, IT, security, and business stakeholders to create dashboards, portals, approvals, AI-assisted experiences, and reusable design system components while validating implementations and improving adoption and efficiency.

Manages regional data center deployments from kickoff through delivery, leading build leads and technicians, coordinating staffing, materials, vendors, procurement, and project stakeholders. Maintains build plans, trackers, documentation, and safety compliance; resolves site blockers; supports hardware, power, networking, and fiber deployment; and provides progress reporting. Travels to sites for hands-on support, leads training and toolbox talks, and develops team performance and career plans.

The Sales Development Representative will generate opportunities, qualify leads, and support marketing and sales efforts in the AI sector.

Lead Business Operations at Notion, focusing on strategic projects, cross-functional collaboration, and scalable AI-driven solutions to enhance business performance.

The Treasury Manager will oversee global treasury operations, manage cash flow forecasts, optimize capital structure, and implement risk management strategies.

Build and operate high-signal detections across cloud, identity, endpoints, and SaaS. Improve detection platforms, automation, and triage tooling (including LLM-based workflows). Translate threat TTPs into telemetry and detections, participate in incident response/on-call, track metrics like MTTD and alert quality, and drive detection engineering improvements across the org.

Presents investment products, capital markets views, and portfolio strategies to wealth management advisors and clients. Covers a territory of 300–400 advisors across multiple regions, leads advisor workshops and group presentations, conducts one-on-one meetings, supports new business opportunities, and partners across disciplines on investment solution presentations. Requires strong product expertise, storytelling, territory management, communication, and licensed securities and insurance sales experience.

Design, build, test, and operate scalable ServiceNow solutions. Implement integrations (APIs), develop reusable modules using JavaScript/Angular patterns, create automated tests, support releases and runbooks, troubleshoot root causes, and mentor peers while following secure, resilient platform practices.

Build and expand a production agent platform that uses LLMs to automate patient workflows (voice, fax, scheduling, refills). Design conversation/voice UX, backend infrastructure, evaluation and guardrails for safe agent behavior, and ship rapid customer-facing features while ensuring HIPAA-quality reliability.

Own end-to-end technical recruiting for an early-stage healthcare AI startup: source, screen, coordinate interviews, manage offers/closing, design interviews, run talent brand/community programs, apply AI sourcing and ATS discipline, measure recruiting metrics, and support people ops and onboarding.

Design, develop, deploy, and support scalable AI platform components, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Optimize large-scale AI systems for latency, throughput, cost, scalability, and hardware utilization. Contribute to foundational AI strategy, collaborate cross-functionally, and lead or mentor engineering teams.

Design, develop, deploy, and support foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale production AI systems for scalability, latency, throughput, cost, and hardware utilization. Partner with engineers, scientists, technical program managers, and product managers while contributing to technical vision, roadmap development, and responsible AI practices. Lead and mentor engineering teams and apply emerging AI research to production systems.

Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, partner with cross-functional teams, and contribute technical vision and roadmap for foundational AI systems.