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

Own financial services client engagements from discovery through production, translating complex workflows into AI products. Lead product strategy, specifications, delivery, adoption, and regulated-environment reviews. Build reusable financial services playbooks, solution patterns, evaluations, and reference architectures while supporting go-to-market efforts. Serve as the financial services product expert, coach teams, and help build the future vertical.

Own high-volume recruiting coordination, especially engineering interviews, executive scheduling, interviewer capacity, scorecards, and offer deadlines. Build recruiting data systems, dashboards, operating rhythms, and AI-powered workflow automations using Claude, Ashby, and ModernLoop. Improve data accuracy, reduce manual work, and serve as the primary hiring-logistics partner for engineering leadership.

Serve as a fractional Chief AI Transformation Officer for enterprise clients. Win executive engagements, advise CEOs on high-value AI opportunities, shape actionable transformation strategies, mobilize product and engineering teams to deliver results, and expand long-term client relationships. The role combines executive advisory, applied AI expertise, commercial ownership, relationship management, and delivery leadership.

Lead AI transformation engagements for financial services executives as a fractional Chief AI Transformation Officer. Win executive business, diagnose where AI can create enterprise value, shape actionable transformation strategies, mobilize product and engineering teams to deliver outcomes, and expand long-term client relationships. The role combines executive advisory, applied AI strategy, engagement leadership, and commercial ownership.

Own recruiting coordination and candidate experience across interview scheduling, offers, onsite logistics, and stakeholder communication. Improve recruiting workflows through documentation, process standardization, automation, and AI-enabled tools. Coordinate complex calendars, resolve scheduling issues, support recruiters and hiring managers, and help scale recruiting operations while maintaining a thoughtful, high-quality candidate experience.

Owns the end-to-end development and delivery of AI-powered products for enterprise clients. Responsibilities include defining problems and success metrics, shaping requirements and PRDs, managing client relationships, coordinating engineers and designers, driving execution, supporting adoption, and identifying expansion opportunities. The role combines product management, client engagement, delivery leadership, and hands-on operational ownership in a fast-paced applied AI environment.

Lead AI strategic advisory engagements, including transformation planning and diligence assessments. Support proposals, sales pursuits, executive relationship building, and client communication alongside Principals. Translate AI capabilities into business recommendations, identify value-creation opportunities and disruption risks, and contribute to internal partnerships, thought leadership, tooling, and process improvements.

Serve as a fractional Chief AI Transformation Officer for CEOs, winning executive engagements, identifying high-value AI opportunities, advising leadership, mobilizing PM and engineering teams, and overseeing delivery of production outcomes. Own executive relationships beyond initial projects, expand partnerships, and drive revenue through strategic insight, applied AI expertise, and trusted counsel.

Lead and scale Ode’s Business Operations and Analytics function by building systems, data infrastructure, and automated processes. Own strategic initiatives, supply-and-demand optimization, forecasting, capacity planning, staffing, company planning, performance reviews, internal communications, and Board preparation. Build and lead a lean, analytical team while applying AI and automation to improve operational scale, utilization, and business performance.

Ode with Anthropic is recruiting existing teams of 2–5 engineers to join together and build applied AI products for enterprise clients. Teams participate in a shared interview process, receive simultaneous offers, and are staffed together on an initial engagement. Candidates should have experience building complex AI systems, applying strong software engineering practices, and deploying production-ready products. Common individual roles include Software Engineer, Senior or Staff Software Engineer, and Forward Deployed Product Manager.