Software Engineer, Product

You are a software engineer first. You want that craft pointed at a customer outcome.

Product ownership at Metaview raises the technical bar. You will make architectural tradeoffs, build the consequential parts, and operate what you ship. You will also talk directly to customers and decide what should exist, rather than receive those decisions through a roadmap.

Your formal title may have been Software Engineer or Senior Software Engineer. What matters here is that you want product judgment to be part of the engineering job.

Metaview is an applied AI lab building AI coworkers for some of the world’s most ambitious recruiting teams. Hear directly from our customers. The challenge is not another chatbot. It is software that can pursue a hiring objective, act across real workflows, ask for judgment at the right moment, and earn a customer’s trust.

Founded by Siadhal Magos and Shahriar Tajbakhsh, who scaled Uber and Palantir, we have raised more than $50M and are growing 5x year over year.

AI coding agents are part of the job, not a perk. Engineers routinely run several in parallel for exploration, implementation, and review. We assess both sides of the craft: how well you direct agents and how well you reason, code, and debug on your own. One interview exercise is completed without AI.

Velocity means reducing the time from customer evidence to a reliable product change. It does not mean trading away quality. We ship small changes daily, including Fridays, because the engineer who ships owns production behavior, recovery, and the next revision. Process stays light because customer context and ownership are direct.

You will not wait for a complete specification or a handoff between disciplines. You will get close to the customer, choose a direction, build the consequential layers, and use production behavior to decide what happens next.

AI agents help our small team ship roughly 8x more product changes than a year ago. The engineer remains accountable for architecture, review, implementation quality, and production behavior.

You will work on problems such as:

• building agents that can pursue recruiting objectives over days, know when to ask for judgment, and recover safely when a model or tool fails;

• turning interview and hiring-team conversations into actions, with interfaces that let recruiters understand, correct, and trust the result;

• making architectural tradeoffs across the interface, APIs, data model, permissions, and production behavior of the same workflow;

• designing controls and recovery paths for agents acting in customer systems; and

• turning repeated product patterns into simple primitives that support many recruiting workflows.

In your first 3 to 6 months, you should independently own and ship a bounded customer outcome from problem definition through rollout and iteration. The size of that outcome will reflect your level, but the operating model is the same: make product and technical decisions, contribute the consequential code, and own the production result.

• You have personally shipped software for external users and owned a meaningful outcome from problem definition through production.

• You have real depth in at least one technical area and can cross product, frontend, and backend boundaries when the outcome requires it.

• You use AI coding agents heavily and can still design, implement, review, and debug independently.

• You want direct customer contact, hands-on implementation, and responsibility after launch.

• You care deeply about architecture, correctness, and technical craft, but judge them by the product they enable.

• You want product judgment to…