Staff Technical Program Manager

San Francisco · 7+ years experience · Full-time · Hybrid · Posted Oct 13, 2026

At a glance

Harvey is looking for a Technical Program Manager to lead high-priority company programs across the organization and technology stack.
This role involves partnering with engineering, product, and business leaders to turn ambiguous problems into clear plans and drive execution from scoping through launch and measurable impact.
The portfolio evolves with company priorities, spanning areas such as AI infrastructure, developer productivity, and customer-facing products.

Own end-to-end execution of critical company programs, working with engineering, product, and business leaders to define outcomes, scope, owners, milestones, and success metrics.
Lead programs across technical domains, including AI infrastructure, capacity planning with engineering, finance, and model providers, driving model failover readiness, and enabling model experiments.
Drive developer productivity programs, such as evaluating and scaling AI coding agent usage, improving test coverage and reliability, and reducing CI/CD bottlenecks.
Drive product-facing programs, such as launching new AI-powered workflows, coordinating capabilities that span multiple product teams, or improving end-to-end product performance and reliability.
Surface risks and systemic gaps early, resolve ownership gaps, and sequence dependencies across teams.
Partner with senior engineers and engineering managers to evaluate technical tradeoffs and unblock decisions.
Build a lightweight operating cadence that makes progress, risks, and decisions clear to teams and leadership.
Define and track program-specific metrics, and follow through after launch to ensure sustained impact.
Create alignment across functions and levels of the organization, translating complex technical issues into clear decisions and escalating when priorities, resources, or dependencies put outcomes at risk.

7+ years of experience in technical program management, with a track record of delivering large, ambiguous programs across multiple teams and technical domains.
Strong technical judgment and the ability to ramp quickly across unfamiliar parts of the stack, from infrastructure and AI systems to developer tooling and customer-facing applications.
Demonstrated ability to lead and influence engineering stakeholders — senior ICs, EMs, and execs — without direct authority.
Excellent written and verbal communication, with a particular ability to distill complex technical tradeoffs into crisp narratives for both technical and cross-functional audiences.
A track record of building durable mechanisms (review forums, metrics, operating cadences) that outlive any individual program.
Comfort with ambiguity and energy for problems that aren't yet well-defined.
Bachelor's degree in Computer Science, Engineering, or related technical field.

Hands-on experience in software engineering, AI/ML infrastructure, developer platforms, SRE, or technical product delivery.
Experience with AI model capacity planning, provider integrations, model evaluation and experimentation, or reliability and failover programs.
Experience evaluating and scaling AI coding agents or other developer tools, or leading improvements in testing, CI/CD, and release safety, with measurable impact.
Experience delivering customer-facing products or major launches that require coordination across engineering, product, design, and go-to-market teams.