Dex is an AI-powered recruiting startup that operates an AI talent agent to source, screen and match engineering and machine-learning candidates to employers.
Our Mission Human time and effort is the rarest thing in the universe. The fact that so many people hate what they do for work is a disaster on so many levels. How many people live quiet lives of misery? How many generational talents do we miss due to circumstance? Dex’s mission is to close the gap between Talent & Opportunity, we believe that work, and being productive, is part of the human condition, that regardless of AI, human passion, ingenuity and a desire to do things means that work will always exist. We are building Dex to create a future where technology helps every individual to understand their strengths, interests and unique abilities, and to connect with opportunities where they can thrive, because more people doing things they love leads to a better, happier and more productive world. We are starting by connecting the world's most ambitious software engineers with the companies that deserve them. The Role This is a Staff-level full-stack product role with a backend-heavy centre of gravity. You'll own complete product slices end-to-end — things like a candidate database with rich search and filtering, a dashboard that surfaces call transcripts and match history for our Talent Operations team, and the workflows that let them stack-rank candidates against a new role in minutes rather than hours. You ship these without needing to be guided step by step. You're not a specialist who hands off at the API boundary. You think in user outcomes and delivery units, and you're reliable: your code handles edge cases, your APIs have clean contracts, and the work you ship stays shipped. What You'll Do - Own product delivery — take features from spec to production, backend-first but covering frontend and integration where needed - Build and maintain backend systems — product APIs, data pipelines, and core infrastructure on our Python/FastAPI/Postgres stack - Build with LLMs and agents — ship product features with significant LLM integration; contribute to the voice agent backend and information extraction systems - Work across the stack — ship workable React/TypeScript frontend for product features; not a frontend specialist, but comfortable and pragmatic - Collaborate with product and design — translate ambiguous requirements into concrete shipped work; be the engineer who unblocks, not the one who waits - Maintain quality at speed — handle data integrity, error paths, API evolution, and operational concerns as a default, not an afterthought What We're Looking For - Leading teams or entire product lines - You can take responsibility for driving delivery across a team or across an entire product line - Seeing good at scale, and early stage - you've moved fast in scrappy, early-stage environments, and seen what good looks like at scale - Independent delivery - You can own and ship end-to-end product slices with minimal supervision; your track record shows features that shipped, stuck, and scaled - Product trade-off judgment - you balance speed, quality, and user impact under ambiguity; you push back when something is underspecified and make pragmatic calls when it needs to ship - Reliability and API discipline - you handle data integrity, error paths, idempotence, and API versioning as standard practice; production reliability is your default, not a later concern - Cross-functional pragmatism - you work effectively with product and design, can unblock yourself across the stack, and ship workable frontend when that's what's needed Strong technical depth in: - Python backend (FastAPI or equivalent, async patterns, Postgres, Redis) - LLM integration — building products where AI is in the critical path, not bolted on - API design and data modelling - JavaScript/TypeScript — comfortable enough to ship frontend features and review frontend PRs Nice to Have - Experience with voice agents or real-time audio pipelines - Familiarity with evals, guardrails, or agent observability - Familiarity with GCP / cloud infrastructure - Experience in recruiting tech, marketplaces, or matching systems The Stack A modern Python stack: FastAPI, Postgres, Redis, Docker, Pydantic AI, running on GCP. Frontend in React/TypeScript. We iterate fast and keep the codebase clean. - What We Offer - Above market salary — we're building a world class team and believe pay should match that ambition - Significant equity — we want this to be the last job you 'have' to take - Full private healthcare & dental — because life happens and we want to support you - Fertility benefits & enhanced parental support - Gym membership & wellness benefits - Claude tokens — lots and lots of Claude tokens - Regular socials, offsites and an annual trip - MacBook Pro + team kit - "Whatever you need" approach to tools and support Interview process We move quickly and with conviction. Broadly you can expect: 1. We love it when candidates have experimented with our agent, Dex. Even if you aren't an Engineer, you can get a sense of what we're building, and we love to hear your feedback. 2. A 30m video call with our Internal Talent Lead; we'll share more about the team, role and business before asking questions about your experience and fit. 3. Hiring Manager call: we'll share more specific context on short and medium-term objectives and ask deeper questions relative to the role requirements. 4. Most roles involve a practical task to better understand how you work. Usually completed offline and reviewed by the team. 5. Onsite interview loop where you'll visit the office, meet a cohort of the team, one interview centred on the task you produced, another on Dex culture and values, with a final interview with our Founder, Paddy.