Member of Product Staff, Engineer (San Francisco)

Coding was first. Recruiting is next — and we're building it. We are an applied AI lab building end-to-end recruiting agents that feel like coworkers. Metaview helps organizations hire with radically more speed and precision. We automate toil and augment humans for teams like Brex, Affirm, Deel, ElevenLabs, and Airtable. Founded by Siadhal Magos and Shahriar Tajbakhsh, who scaled Uber and Palantir, we have raised over $50M from top-tier investors. We are growing 5x year over year, our customers are raving fans of the product, and our story has been covered in Fortune, Forbes, TechCrunch, and The Times. Now is the time to re-engineer how work gets done with AI at the core, and our toughest challenges still lie ahead. We are looking for people seeking the hardest, most fulfilling work of their lives. We have one value: velocity. Not motion for its own sake, but real progress. We ship every day, ship on Fridays, and skip the tickets, roadmaps, and design-doc theater. We barely write code by hand anymore: every engineer orchestrates a stack of agents, and we ship 8x what we did a year ago with the same small team. Process stays light, standards stay high, and feedback loops stay short. What you'll build Day to day, you'll work on: - new product experiences across the hiring workflow - systems that turn conversational signal into structured actions and insights - AI-assisted features that need to feel useful, transparent, and well-integrated into the product - improvements to quality, speed, and reliability across both user-facing and agent-facing parts of the product - product problems that cut across engineering, design, product, and go-to-market context What you'll own In your first 3-6 months, you should: - own and ship meaningful product areas from problem definition through rollout - help shape how Metaview's AI products behave in real customer workflows - identify and drive improvements that make the product faster, clearer, and more valuable - contribute to the engineering bar across craft, execution, and product judgment What we're after We're hiring across all levels, but we are excited by people who: - have shipped product in fast-moving software environments - are comfortable working across the stack, or moving outside their default lane when needed - care deeply about users and can translate messy problems into clear product decisions - combine technical strength with product sense and good judgment - like ownership, ambiguity, and close collaboration across functions - want to help build a category-defining product while the shape of the company is still being formed What you bring Helpful signals include experience with: - shipping products, workflow software, or AI-enabled products - systems where frontend and backend decisions meaningfully shape each other - building products used in consequential or trust-sensitive moments - startup or scale-up environments where iteration speed and ownership are both high What you want to know - A small, sharp, in-person team in San Francisco. Best ideas win on merit, not ceremony. Want to know what it's actually like? Read our unfiltered Slack at metaview.ai/careers#slackbook http://metaview.ai/careers#slackbook. - We pay in the top 10% of the SF market — salary and meaningful equity. Our process is fast and direct. It's not unusual to hear back the same day. - We operate with a simplified leveling, early-career, mid-career, and staff and above. Your level sets your comp. No back-and-forth, no games. We track the market closely and adjust when it tells us to. Market refreshers, twice a year. We re-benchmark against the market two times a year and move comp up when it drifts — so "top 10%" stays true, not just true on your start date. - Promotions and raises on a real cycle. We review level and scope roughly every six months. When your responsibilities grow, your comp follows. It's tied to a real change in the work rather than an automatic bump. - Equity that's genuinely competi…