Technical Program Manager

Hooglee•San Francisco, CA

7d•Onsite

About The Position

We’re a startup at the intersection of video AI and social media, with experienced serial entrepreneurs, a world-class team, and strong financial backing. We are hiring a Technical Program Manager to improve how product and engineering plan, coordinate, and deliver.

Requirements

2-5 years of relevant experience in technical program management, program or project management, technical operations, consulting, or a similar cross-functional role.
Experience independently leading work across multiple teams with unclear requirements and technical dependencies.
Technical fluency with the software development lifecycle. You should be comfortable reading pull request discussions, understanding bug reports, navigating GitHub, and following conversations about APIs, deployments, and technical tradeoffs.
Ability to ask precise questions and communicate technical context accurately to product, engineering, and business partners.
Strong written communication and good judgment about what to document, share, escalate, or resolve directly.
Experience influencing decisions and driving follow-through without formal authority.
Ability to build or modify simple automations using AI coding or no-code tools, or evidence that you have learned comparable technical tools quickly.
Ability to work from our San Francisco office five days per week.

Nice To Haves

Experience at an early-stage startup or in another fast-growing environment.
Hands-on experience building automations with Claude Code, Codex, Cursor, or similar tools, especially in terminal-based workflows.
Familiarity with developer productivity metrics and their limitations.
Familiarity with cloud infrastructure concepts such as IAM, service ownership, and deployment coordination.
Experience with video creation, video editing, creator tools, or social media products.

Responsibilities

Lead cross-functional technical programs from initial definition through launch and follow-up.
Define scope, milestones, owners, dependencies, risks, and success criteria.
Build lightweight internal tools, scripts, bots, integrations, and scheduled agent workflows using AI coding or no-code tools.
Improve shared planning and launch readiness across product and engineering.
Evaluate developer workflow tools through structured pilots.
Track adoption, cost, feedback, and impact, then recommend whether to expand, revise, or stop each pilot.
Improve bug intake, triage, routing, prioritization, and closure.
Keep decisions, risks, and open questions visible.
Publish concise updates with clear owners and next steps.
Improve how teams use Linear, GitHub, Slack, and shared documentation so current context is easy to find.
Identify recurring bottlenecks and implement changes that reduce coordination work as the company grows.