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.
Building AI-native products is a different problem than building deterministic software: the same input won't always produce the same output. Good product engineering here means designing experiences that stay useful, trustworthy, and easy to understand even when the AI underneath doesn't behave the same way twice — and knowing when that's a product design problem, not just a model problem.
We're looking for a Software Engineer with 2-7 years of experience who thinks like a product owner, not just an implementer. You're comfortable being handed a vague, half-formed problem and figuring out what's actually worth building. You default to empathy for the researcher or participant on the other end of the screen, and you'd rather ship something real and learn from it than wait for a perfect spec. You're fluent enough with modern LLM-based systems to build good product experiences on top of them, even if tuning the model itself isn't your job.
What you'll do- Own end-to-end delivery of product features — from an ambiguous problem statement to shipped, working software real researchers and participants use
- Partner directly with Product and Design to help define what should be built, not just how to build it
- Use our design system to make sound, independent calls on smaller UX and interaction decisions, and know when a change is big enough to loop Design in
- Build the product surfaces (web app flows, dashboards, in-product controls) that make AI-driven behavior understandable, controllable, and trustworthy for the people using it
- Integrate LLM-based features and agent outputs into real product flows — treating them as a building block you design around, not infrastructure you need to own
- Talk to users directly when you need to; bring what you learn back into design and prioritization decisions
- Ship fast, instrument what you ship, and iterate based on real usage rather than a fixed spec
- Collaborate with AI-focused engineers on deeper model or agent tuning when a feature's behavior depends on it
- Sweat the craft: interaction design, edge cases, error states, and how the feature actually feels to use
- 2-7 years of software engineering experience shipping full-stack product features to real users
- Comfortable working across the stack (frontend and backend) and picking up whatever's needed to ship
- A track record of taking a vague, underspecified problem and shipping something real without a fully-scoped ticket
- Genuine empathy for users: you default to understanding what someone is actually trying to do, not just what the ticket says
- Working fluency with LLM-based systems: you've built features on top of LLM APIs or agents and understand prompting and non-determinism well enough to design good product experiences around them
- Strong product judgment: you can reason about tradeoffs (build vs. buy, LLM vs. deterministic logic, speed vs. polish) and push back when a request doesn't serve the user
- Comfortable using our design system to independently make good UX calls on smaller details, without needing Product or Design sign-off for every decision
- Comfort using AI coding tools (Cursor, Claude Code, Copilot, or similar) as a real part of your workflow
- High agency and a bias toward shipping
- Experience building product features on top of conversational or voice AI
- Familiarity with LLM observability/eval tooling, even if you're not the one owning it
- Experience partnering closely with UX research or qualitative research teams
- Direct experience talking to users or running lightweight user research yourself
Of course, what is outlined above is an ideal set of expectations; however, business needs and other projects and tasks may shift, and additional tasks could be assigned at the discretion of your manager. If this role excites you but you're not sure you check every box, we'd still love to hear from you.
Note: Some of the benefits listed below apply only to U.S.-based employees. We offer a similarly competitive benefits program in the UK with many comparable offerings, which we’ll be happy to share with you during the interview process.
- A strong and competitive compensation package with a built-in bonus and equity program.
- An incredible and progressive benefits package (for both you and your dependents) to support work/life balance, including flexible PTO, 15 company holidays, 12 weeks of paid parental leave, 401k match, and much more.
- An education stipend to support your growth & development, and a remote work stipend.
- A company that is open and transparent with our team. You will know what is happening and why it matters.
Location Flexibility: Dscout is proud to support a remote-first workforce and enable employees to work from almost anywhere. At this time, however, we are unable to hire in the following locations: Montana, Hawaii, Alaska, and Washington DC.
Skills Required
- 2-7 years of software engineering experience shipping full-stack product features to real users
- Experience working across frontend and backend development
- Ability to take vague, underspecified problems and ship solutions without a fully scoped ticket
- Genuine empathy for users and ability to understand user needs
- Working fluency with LLM-based systems, including experience building features with LLM APIs or agents
- Understanding of prompting and LLM non-determinism sufficient to design product experiences around them
- Strong product judgment and ability to evaluate tradeoffs
- Ability to independently make sound UX decisions using a design system
- Comfort using AI coding tools such as Cursor, Claude Code, or Copilot
- High agency and a bias toward shipping
- Experience building features on conversational or voice AI
- Familiarity with LLM observability or evaluation tooling
- Experience partnering with UX research or qualitative research teams
- Experience talking directly to users or conducting lightweight user research
What the Team is Saying
Dscout Compensation & Benefits Highlights
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Healthcare Strength — Healthcare is described as comprehensive, with medical, dental, and vision coverage where most premiums are covered, plus robust mental-health support and transgender-inclusive options; discounted pet insurance is also available. These elements collectively point to strong core medical protection at comparatively low employee cost.
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Leave & Time Off Breadth — Time off is portrayed as generous, with unlimited/flexible PTO encouraged at roughly four weeks, around 16 paid company holidays, and a 10‑week sabbatical available at 10 years. This structure emphasizes rest and long-term recovery opportunities.
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Parental & Family Support — Parental support includes up to 12 weeks of fully paid parental leave for all paths to parenthood. Adoption assistance and dependent-care FSA options further reinforce family coverage.
Dscout Insights
What We Do
Dscout helps companies better understand the experiences people have with their products and brands in everyday life. Our SaaS video research platform helps our customers gather, manage, share and analyze millions of in-context moments submitted by people around the world.
Why Work With Us
Curious. Empathetic. Smart. We are a crew of curious humans helping the world's most beloved brands become more customer-centric. If this gets you excited, we'd love to hear from you!
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Dscout Offices
Remote Workspace
Employees work remotely.
Dscout’s goal is to provide team members with the flexibility to decide their best way of working, meaning we operate as a remote-first company!
