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

Own post-sales technical implementations from requirements gathering through go-live and hypercare. Design, build, and troubleshoot enterprise integrations using REST APIs, JSON, XML, webhooks, and authentication flows. Translate e-invoicing and indirect-tax needs into integration designs, lead customer technical discussions, provide implementation feedback to product and engineering, and support customer onsite visits.

Own backend core systems supporting clinical workflows and machine learning infrastructure. Build and operate ingestion, warehousing, distributed inference, reliability, observability, debugging, capacity planning, CI/CD, and deployment automation. Design secure systems for protected health information, including encryption, access controls, and audit logging. Partner with machine learning engineers on model infrastructure and inference pipelines while leading multi-quarter technical initiatives and balancing reliability, performance, cost, security, and maintainability.

Own machine learning infrastructure spanning distributed training, reinforcement learning, data pipelines, model serving, deployment, monitoring, and rollout tooling. Partner with researchers to productionize experimental workflows for clinical AI applications. The role also involves GPU scheduling, autoscaling, reproducible environments, online-learning loops, checkpointing, evaluation, and technical leadership or mentoring.

Build and own production software for safer AI use in regulated financial workflows. Responsibilities include creating AI evaluation environments, converting research prototypes into production guardrails, shipping customer-facing safety tooling, making architecture decisions, building core infrastructure, and establishing engineering practices in an ambiguous research-oriented startup environment.

Build backend-oriented internal applications and customer integrations for an AI-enabled medical imaging platform. Develop clinical workflow, peer review, and analytics tools; integrate with PACS, RIS, and EHR systems using DICOM and HL7; support customer onboarding; identify workflow gaps; and deliver product and operations automation. Own medium-to-large projects, make architecture decisions, collaborate directly with customers, and contribute across the full product lifecycle.

Own full-cycle recruiting for software engineering, infrastructure, applied AI, and product engineering roles. Build outbound sourcing pipelines, partner with founders and hiring leaders on role definition and interview calibration, close senior and difficult-to-hire engineers, and deliver a high-touch candidate experience. The recruiter will also establish workflows, templates, recruiting systems, and talent market maps in a fast-moving startup environment.

Own technical sourcing strategy for AI, machine learning, research, software engineering, product, and related roles. Build market maps and talent pipelines, engage passive candidates through recruiting platforms and technical communities, personalize outreach, assess candidate fit, track sourcing analytics, and improve recruiting tools and workflows. Partner with recruiters and hiring managers while establishing the company’s first dedicated technical sourcing function.

Design and own mechanical robotic subsystems from concept through prototyping, testing, iteration, and production. Responsibilities include CAD modeling, material and tolerance selection, design for manufacturability, hands-on prototype fabrication using 3D printing and CNC machining, and integration of motors, sensors, electronics, and actuators into robotic arms and mobile bases. The role requires close collaboration with hardware teams to develop reliable systems for data center operations.

Lead complex enterprise AI engagements from discovery through deployment, adoption, and expansion. Partner with C-suite stakeholders to define problems, build ROI-driven business cases, and create customer roadmaps. Own strategic and commercial outcomes while collaborating with forward-deployed engineers on technical delivery. Translate customer insights to product and engineering teams, and build repeatable deployment playbooks for a new Applied AI function.

Own the agentic product portfolio’s strategy, vision, roadmap, discovery, and execution. Partner with founders, engineering, commercial leaders, and enterprise customers to align product direction with revenue goals and technical feasibility. Prioritize market opportunities, pricing, specifications, and delivery; lead expansion into healthcare and retail; and prototype concepts using AI coding agents. The role requires substantial customer engagement and hands-on leadership in an early-stage startup.