Senior Forward Deployed Engineer (Full-Stack)

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. 1. Dscout AI Training & Evals Dscout AI Training & Evals builds human data and evals that show whether AI works for real people. For ten years Dscout has captured how people behave in real context, with consent and scientific rigor. Dscout AI Training & Evals points that engine at AI: consented human behavior and judgment, turned into the training data, evals, and benchmarks AI teams trust. Models ace benchmarks and still surprise people in the wild. A benchmark says how capable a model is. It does not say whether the model works for the person using it, across weeks, in the mess of real life. That gap is where we work. We serve AI researchers, the product builders who ship alongside them, and the research teams who partner with both. We are a new unit inside an established company: live customers, a mature platform (React, Elixir, Python, Swift, Kotlin; SOC 2 and HITRUST certified), a small senior team, and room to build. We work AI-native. Agents write code, evals gate changes, and we aim to do in months what used to take years. A note from our Chief AI Officer & GM. The hardest AI problems show up when a model meets real people, with their tools, their interruptions, and their goals. Our customers need a partner who can design the answer, build it, and ship it fast. Ground Truth sits where deployment meets research: what we learn in the field shapes the science, and the science shapes what we ship. Come build it with us. Why this seat • Work directly with AI labs and AI product teams on problems that have no playbook yet. • Build on a platform that already works, so your time goes into the hard part, not the plumbing. • Own technical decisions on your programs, and see your builds become product. • Join a small senior team with direct access to the GM, our Principal Engineer, and the Head of AI Research. 2. Job Description Our Strategic Project Leads run customer programs from first scoping call to final data delivery. You are their technical partner and builder. Customers ask for things that have not been built before: weeks of real-world AI use, captured in context, delivered as data a lab can train or evaluate on. You work out how. Some of it our platform already does, some needs configuring, and some has to be built. Knowing which is the job. Programs you will work on • Long-horizon, real-world use of AI products, captured over days and weeks. • Side-by-side model comparisons judged by people who match a specific profile. • Human judgment and preference data, delivered in formats a training pipeline can ingest. • Feedback loops that connect real user behavior to model and product decisions. What you will do Scope and shape programs • Turn a fuzzy customer brief into a technical plan in days, alongside the Project Lead. • Decide what to reuse, extend, or build, and prove the gap before you write code. • Write the scope down: what we will deliver, how it works, what could go wrong. Build and ship • Build capture flows, task logic, data pipelines, and delivery across web, mobile, and backend. • Ship production code with real participants on the other end. • Use coding agents and evals as part of how you build, and teach the habit to others. Build trust into the data • Own redaction, validation, prov