Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 94 days ago

AI Product Engineer

Pelago15 open roles

Where
London
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAI Product EngineerPelago · London

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Pelago's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Pelago postings stay open a median of 56 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 94 days ago

Pelago median: 56 days open

The posting

Pelago is the leading specialty substance use care provider, built on the belief that effective treatment means matching care intensity to what each member actually needs rather than defaulting to the most expensive intervention. Our programs guide members through every stage of the substance use spectrum, from unhealthy habits to active use disorders, delivering personalized treatment for tobacco, alcohol, opioid, cannabis, and stimulant use based on individual health, habits, genetics, and goals.

With Sona, our voice-first AI Mental Health Specialist, Pelago now applies that same clinically-driven model to mental health, pairing deep clinical expertise with technology to expand access without compromising care quality. We believe technology should make clinical care more precise and more human, not replace the judgment behind it.

Pelago has scaled to helping hundreds of employers and health plans and has already helped more than 750,000 members better manage their substance use. If you're passionate about AI and making an impact on the health of others, join us and make it happen!

About Pelago Engineering:

Our engineering team operates as empowered, outcome-oriented problem solvers, working in close partnership with product, design, and clinical teams to improve member outcomes at scale.

As AI transforms how software is built, we are intentionally evolving our development lifecycle so we spend less time on mechanical implementation and more time on system design, judgment, and impact.

How We Work:

  • Outcome-driven: Engineers are given problems to solve, not just features to build. Success is measured by learning, impact, and outcomes—not velocity alone
  • AI-native: We use AI across the SDLC to accelerate implementation, testing, and review. Engineers focus on defining intent, validating behavior, and designing resilient systems
  • High autonomy, high accountability: Teams have real ownership over their domains. With autonomy comes responsibility for quality, safety, and results
  • Cross-functional by default: Engineers partner deeply with Product, Design, Data, and Clinical. Discovery, experimentation, and delivery are shared responsibilities
  • Quality and safety matter: We build in a regulated, member-impacting domain. Reliability, observability, and correctness are first-class concerns

What You’ll Do:

Instead of task lists, anchor on ownership:

  • Own meaningful problem spaces end-to-end, from discovery through delivery and iteration
  • Design and evolve systems that support safe, scalable, AI-augmented development
  • Use data and experimentation to validate whether solutions actually work
  • Collaborate cross-functionally to balance member impact, clinical constraints, and technical tradeoffs
  • Shape how we work—our tools, processes, and culture

What We Look For:

We explicitly assess for empowerment:

  • You start with "why" before diving into "how"
  • You're energized by ambiguity and collaborative problem-shaping
  • You use AI to amplify your judgment and move faster on what matters
  • You think in systems and anticipate second-order effects
  • You want to own outcomes, not just ship features

Overview of the Role: Pelago is building behavioral health care delivery from the ground up – AI-native, outcome-oriented, and built for a domain where what you ship has direct consequences for member health. Product Engineers own meaningful problems end-to-end: from discovery through production and iteration, in close partnership with product, design, data, and clinical stakeholders. The hire we're looking for is technically strong enough to ship across the stack, fluent enough with AI tooling to move fast, and grounded enough to make sound trade-offs in an environment where member safety, privacy, and reliability matter as much as speed.

In This Role You Will:

  • Own meaningful product areas end-to-end — from problem framing and prototype through production rollout and iteration.
  • Partner deeply with product, design, data, and clinical teams to shape solutions that improve member outcomes and business results.
  • Build and evolve secure, well-tested, observable software across backend, frontend, and data surfaces.
  • Use data, experimentation, and user feedback to validate whether shipped solutions are working, and drive iteration when they're not.
  • Operate autonomously in ambiguous environments, communicating proactively across globally distributed teams and functions.
  • Make sound trade-offs across speed, safety, technical quality, and maintainability in a regulated environment.
  • Improve Pelago's engineering system: AI-native development practices, testing, documentation, knowledge sharing, and review quality.

The Background We're Looking For:

  • Strong production experience building product software in a startup or scale-up environment.
  • Excellent TypeScript/Node capability; comfortable working across APIs, services, data and cloud infrastructure.
  • Strong product sense: able to start from the user or business problem, not just the implementation.
  • Comfortable operating autonomously in ambiguous environments and making sound trade-offs with incomplete information.
  • Solid testing, observability, and reliability instincts.
  • Fluent with AI-augmented engineering workflows while maintaining human judgment and QA discipline.

Nice-to-have skills

  • Experience in healthcare, digital health, or safety-sensitive regulated software.
  • Experience with event-driven systems, serverless AWS, relational database design, and infrastructure as code.
  • Experience with experimentation, analytics, and growth/product instrumentation.
  • Experience contributing to both backend and user-facing product surfaces.
  • Experience building products from 0 to 1 in an early-stage environment

At this time, we are unable to offer visa sponsorship for this position.

Please note that Pelago is dedicated to providing accommodations to candidates upon request. If you need accommodations at any point throughout the interview process, please reach out to your recruiter.

Before you apply, see how we build.

We write about our technical decisions, product philosophy, and the real challenges of scaling behavioral health. Read the blog → https://pelagohealth.ai/

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Pelago's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Pelago's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Pelago's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.