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

Build and productionize AI agent capabilities for revenue workflows. Responsibilities include designing agent harnesses, execution loops, tool interfaces, context and memory systems; shipping end-to-end AI features; creating evaluations and analyzing execution traces; improving reliability, latency, cost, and error recovery; experimenting with models, prompting, retrieval, and orchestration; and developing reusable AI engineering foundations.

Manage and grow a sales pipeline, conduct consultative discovery, deliver product demonstrations, and close new mid-market and enterprise business. Build executive relationships, run structured sales processes, perform targeted outbound prospecting, and collaborate with product, marketing, and engineering. Become a product expert and communicate Unify’s technical value proposition and ROI to decision-makers.

Generates and qualifies new business opportunities through strategic outbound sales. Maintains lead records and prioritization in Salesforce, collaborates cross-functionally on top-of-funnel strategy, and provides market feedback to product and engineering teams. The role requires strong communication, organization, analytical ability, adaptability, and a self-starting mindset in a fast-paced startup environment.

Generate new business opportunities through outbound prospecting, qualify leads, manage pipeline records in Salesforce, and collaborate cross-functionally on top-of-funnel strategy. The role requires strong communication, organization, analytical thinking, adaptability, and a self-starting attitude in a fast-paced startup environment.

Lead zero-to-one product development while shaping Unify’s product roadmap and engineering foundation. Build scalable AI-powered products using TypeScript, Prisma, Temporal, PostgreSQL, Kubernetes, Pulsar, ClickHouse, and LLMs. Evaluate technology platforms and vendors, establish engineering standards, manage infrastructure, deliver high-quality products at scale, and mentor multiple engineers while collaborating closely with founders, product, design, and engineering teams.

Build zero-to-one AI-powered products alongside founders and cross-functional teams. Own substantial engineering scope, shape product roadmaps, establish scalable engineering foundations, evaluate technology platforms and vendors, manage infrastructure, and mentor engineers. Develop products using TypeScript, Prisma, Temporal, PostgreSQL, Kubernetes, Pulsar, ClickHouse, LLMs, and related technologies.

Lead growth product strategy and execution for multiple engineering pods. Own roadmaps, ship end-to-end features from ideation to measurement, drive customer research and UX, and raise product quality standards while working closely with founders and execs.

Lead development of new AI-native outbound products from zero to one, shape product and engineering roadmap, build scalable systems using modern infra and LLMs, mentor engineers, and establish engineering standards to support company growth.

Own and build new AI-native products from zero to one with founders; shape product roadmap and engineering standards; implement scalable infrastructure and integrations using modern stack; mentor engineers and deliver high-quality, production-ready features.