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

Build and scale production ML infrastructure for distributed training, inference, fine-tuning, reinforcement learning, and GPU-heavy workloads. Develop cloud-native systems, pipelines, monitoring, logging, and observability tools while optimizing reliability, performance, and cost. Collaborate with ML scientists and customers to diagnose issues and ship backend, frontend, and infrastructure improvements. The role is suited to an early-career engineer working onsite with a fast-moving AI infrastructure startup.

Build the core intelligence layer for an AI-native clean energy infrastructure platform. Responsibilities include setting technical strategy, developing LLM-powered agent workflows, building backend features, creating data and geospatial pipelines, automating contracting and diligence, and shipping production software. The role requires autonomous execution, direct customer collaboration, rapid prototyping, technical leadership, and experience with GenAI systems, orchestration frameworks, vector databases, and backend engineering.

Own relationships with enterprise mortgage-lending customers after launch, driving adoption, success planning, renewals, expansion, account health, executive reviews, and issue resolution. Partner with Forward Deployed, Engineering, and Product teams to address escalations and influence the roadmap. Analyze call and usage data, use LLMs to automate customer-success workflows, and help establish scalable Customer Success playbooks.

Originate and manage relationships with clean energy tax credit buyers and sellers, lead outreach and negotiations, develop data-driven business development campaigns, build partnerships, create sales materials, and improve sales processes. The role works closely with company leadership on strategic initiatives and offers increasing ownership in a rapidly growing clean energy finance company.

Serve as the primary customer advisor for prevailing wage and apprenticeship compliance across key accounts. Manage audited report delivery, lead human-in-the-loop auditing, mentor a team, develop scalable processes, provide product and roadmap feedback, and collaborate with sales and account management on retention and growth. Explain complex tax, accounting, labor, and regulatory requirements while creating customer and internal training materials.

Own the full enterprise sales cycle for strategic mortgage lender accounts, including prospecting, discovery, pilots, negotiations, closing, and expansion. Build executive relationships, develop ROI-driven business cases, navigate complex compliance and procurement processes, design evaluations, maintain pipeline, and help create scalable sales playbooks. The role requires selling complex B2B products to sophisticated financial institutions in a fast-growing AI startup.

Own end-to-end deployment and optimization of AI voice agents for mortgage lender customers. Responsibilities include scoping, building, launching, and iterating on production agents; tailoring conversation flows, compliance requirements, and human handoffs; managing customer relationships and account health; defining success plans; and feeding customer insights into the product roadmap and operating playbooks.

The Founding Strategy and Operations Generalist will report to the CEO and initially own hiring strategy, talent sourcing, candidate evaluation, and closing. They will build AI tools to automate recruiting and later address critical business challenges across sales, product, finance, and people operations. The role requires high agency, strong interpersonal skills, intellectual curiosity, fluency with AI tools, and experience in consulting, finance, or a fast-paced startup. The position is based in San Francisco with four in-office days weekly.

Define and improve the security and privacy program; secure cloud infrastructure, applications, internal systems, and AI agent workflows; manage identity, access, secrets, and privileged controls; lead SOC 2 Type II compliance and customer security reviews; oversee penetration testing and remediation; and protect sensitive data across API, voice, and SMS systems.

Build scalable, maintainable software for an AI voice agent serving mortgage lenders. Translate customer requirements into architecture, use AI coding agents to deliver features, and own core components end to end through production reliability. Potential systems include agent simulation and evaluation, A/B testing, SMS, voice orchestration, phone management, scheduling and dialing, agent orchestration, agent management, and security and privacy services.