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

Develop and execute growth marketing for enterprise AI systems by translating technical work into compelling stories, videos, demos, and case studies. Shape company positioning, own social and content channels, build marketing tools and agentic workflows, track pipeline impact, and run experiments. The role combines strategic marketing, business storytelling, content creation, coding, and AI research.

Develops and communicates the business impact of enterprise AI systems through writing, video, demos, case studies, and digital channels. Shapes company positioning, owns LinkedIn, YouTube, X, and future channels, and runs performance-driven marketing experiments. Builds marketing tools such as scrapers, agentic case-study generators, microsites, and pipeline dashboards using Python or TypeScript. Requires strong writing, business understanding, hands-on coding, AI knowledge, and a portfolio of shipped work.

Build and deploy production GenAI systems, agentic workflows, retrieval pipelines, and data services for enterprise customers. Learn operational domains firsthand, redesign business processes, create evaluation harnesses, write production Python or TypeScript, and deliver observable AWS-based systems. Partner with executives, engineers, and operators to drive adoption and measurable business outcomes while contributing reusable industry blueprints.

Own two revenue motions: convert Anthropic and AWS partner-sourced enterprise leads into consulting clients and independently build pipeline in Financial Services and Life Sciences. Manage relationships with partner and field sales teams, lead co-selling and joint go-to-market activities, run discovery through signed SOW, prospect enterprise decision-makers, scope consulting proposals with delivery teams, and provide market intelligence to leadership. Travel up to 40% for customer and partner engagements.

Embed with customers to learn their workflows, redesign and build production GenAI/LLM systems on AWS, ship and operate code, evaluate non-deterministic models, and own business outcomes.

Own partner-sourced and self-sourced enterprise sales motions: convert Anthropic/AWS partner leads to signed SOWs, prospect new logos in Financial Services and Life Sciences, run full sales cycles, maintain joint pipelines and co-sell activities, and coordinate with delivery and architecture teams to scope consulting engagements.

Manage an East Coast portfolio of Provectus clients to drive renewals and expansion revenue. Track engagement health with delivery leads, manage renewals/SOWs, identify upsell and cross-sell opportunities, run executive business reviews, maintain CRM and revenue forecasts, and hit quarterly expansion/renewal targets. Collaborate with BDMs for handoffs and travel to customer meetings and workshops (up to 40%).

Designs, builds, and deploys production-grade Python AI systems, including RAG and agentic workflows, for enterprise clients. Responsibilities include architecture ownership, backend and API development, AWS deployment, system design decisions, client communication, presales support, technical documentation, mentoring, code reviews, testing, and production AI/ML model maintenance. The role requires embedded client delivery, direct stakeholder engagement, and end-to-end ownership from discovery through implementation.