12 hours ago
Responsibilities
- Talk with users and identify product insights and customer problems.
- Design, implement, review, debug, and ship production software for new customer workflows.
- Build AI agents that pursue recruiting objectives, request judgment appropriately, and recover safely from model or tool failures.
- Build interfaces, APIs, data models, permissions, and production behavior for customer workflows.
- Own a bounded customer outcome from problem definition through rollout and iteration within the first 3 to 6 months.
- Use customer behavior to refine product direction and subsequent releases.
- Own production behavior, reliability, adoption, recovery, and post-launch revisions.
- At staff+ scope, set direction for a broader area, make difficult architectural tradeoffs, and raise decision quality around the team.
Requirements
- Personally shipped software for external users and owned a meaningful outcome from problem definition through production.
- Depth in at least one technical area and ability to work across product, frontend, and backend boundaries.
- Heavy use of AI coding agents while retaining the ability to design, implement, review, and debug independently.
- Interest in direct customer contact, hands-on implementation, and post-launch ownership.
- Ability to turn ambiguous customer problems into useful initial products.
- Willingness to own reliability, adoption, and revision work after launch.
- Exact experience with React, TypeScript, Python, AWS, Postgres, and S3 is not required.
Benefits
- Work together in person in San Francisco; this is not a remote role.
- Competitive salary and meaningful equity, with compensation re-benchmarked twice yearly.
- Competitive option grants.
- Work visa sponsorship and immigration support from start to finish.
- 100% coverage of medical, dental, and vision premiums for employees and dependents in the US.
- Unlimited time off.
Tech Stack
Categories
Product Engineering
About Metaview
Metaview builds an AI recruiting platform where agentic coworkers handle sourcing, application review, interview notes, reporting, and other hiring admin for talent teams. It sells its software to in-house recruiters and hiring managers as a B2B SaaS, keeping humans in the loop for judgment calls. Founded in 2018 and headquartered in San Francisco, it is privately held and counts companies like Brex and Airtable among customers.