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

Own end-to-end product design for AI-native healthcare products serving clinic staff, patients, and internal users. Define experiences in a 0-to-1 environment, scale the design system, maintain high UI/UX quality, and collaborate with Product and Engineering to ship rapidly. The role requires designing complex multi-persona workflows, communicating through storytelling, using Figma extensively, and incorporating AI and prototyping tools into the design process.

Lead product design for AI-native healthcare experiences serving clinic staff, patients, and internal teams. Shape product vision, influence roadmaps, and lead complex initiatives from discovery through launch. Design understandable and trustworthy AI interactions, connect workflows across products, drive measurable outcomes, evolve design systems, and mentor designers. Collaborate closely with Product, Engineering, and GTM leadership while maintaining hands-on responsibility for strategy, interaction design, visual craft, prototyping, and iteration.

The role focuses on building a customer pipeline, achieving revenue targets, and engaging prospects using AI sales tools, with opportunities for rapid promotion.

Support and improve VoIP and telephony systems powering AI-driven customer experiences. Diagnose SIP, RTP, PBX, routing, codec, registration, and audio issues using traces, packet captures, logs, and provider diagnostics. Collaborate with customers, PBX administrators, engineering teams, and telecom providers to resolve integrations and recommend configurations. Improve monitoring, observability, documentation, runbooks, and recurring issue resolution across the voice platform.

Own go-to-market strategy and growth performance for Assort Health’s health systems segment. The role leads positioning, messaging, launches, customer proof, sales enablement, pricing and packaging, competitive intelligence, and revenue growth initiatives. It partners across Sales, Demand Generation, Customer Success, Product, and Revenue leadership to improve pipeline, win rates, sales cycles, and ARR. The ideal candidate brings deep B2B SaaS product marketing experience, strong storytelling and technical fluency, and the ability to operate autonomously in a fast-growing environment.

Own product positioning, messaging, competitive intelligence, analyst relationships, product launches, sales enablement, and pricing strategy for a B2B healthcare AI platform. Partner with Product, Sales, Demand Generation, and Revenue leadership to drive pipeline and ARR growth, establish GTM processes, and build the product marketing function.

Drive qualified pipeline and revenue through multi-channel demand generation programs for enterprise and mid-market healthcare buyers. Execute ABM, paid media, email nurture, SEO, content syndication, and industry partnerships; analyze funnel performance and optimize for ROI. Partner with Sales, SDR, ABM, Product Marketing, Content, and Brand teams on targeting, messaging, lead scoring, enablement, and conversion. Build scalable programs and measurement systems in a high-growth B2B SaaS environment.

Research Engineer responsible for developing, training, evaluating, and deploying healthcare AI models and pipelines for conversational voice agents. The role focuses on instruction following, tool calling, retrieval, memory, speech and audio research, model optimization, benchmarking, failure analysis, and production integration. Candidates should have 5+ years of experience, including AI/ML engineering or research, production LLM deployment, Python proficiency, and a record of converting research prototypes into reliable measurable improvements.

Lead and execute 1:1 and 1:few ABM strategies for strategic enterprise health system accounts; align AEs, SDRs, RevOps, Field and Content; run tactical channels (LinkedIn, direct mail, gifting, executive programs); convert events into account plays; use AI for research, personalization and lightweight automations; and define/report engagement, pipeline and revenue metrics.

Leads and scales the Forward Deployed Engineering organization from a small team to 10+ engineers. Owns technical delivery for strategic healthcare customers, including AI agent deployments, custom EHR integrations, and workflow implementations. Establishes repeatable deployment practices, tooling, and processes; partners with product and engineering teams to convert field insights into platform improvements; and remains hands-on with technical discovery, production debugging, and solution design.