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Coform

Senior Product Engineer

London
Posted about 20 hours ago
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About Focal

The fastest-growing AI companies are all hitting the same wall. The dream is sold before signature, then it crashes down to reality in deployment. Missed requirements, under-scoped integrations, missing context, additional workflows. Go-lives slip and revenue disappears.

Focal is the agentic OS for SEs & FDEs who scope, win & get deals live. It knows every detail about every deal, and what needs to happen next: the risks to avoid, what solutions worked on similar deals, what gaps exist in the product and what still needs to be scoped. So every deal that’s signed goes live on time.

We've just closed a $2m+ funding round backed by leading European and US funds, as well as current & past GTM leaders from Twilio, Glean, Snowflake, Confluent, Slack, Mollie, GoCardless & more. Our customers include companies like Remote.com, GoCardless, Mollie, Recharge & more.

And we have an unusual edge: our founders built Coform, the leading transatlantic community of 1,000+ SEs and FDEs at companies like OpenAI, Anthropic, Vercel, Stripe, Wiz, Datadog, Clay & more. These teams come together at Coform’s meetups to share what’s working & what’s not. We see problems before the market names them and our early customers came to us.

About the Role

Our engineering team turns the reasoning and workflows of the best SEs and FDEs into agentic software. But demand is pulling ahead of what our two engineers can build - our customers are expanding (one has more than 3x their spend with us) and a growing wave of AI companies are hitting the problem we solve. You’d be joining our Engineering team of Lewis (CTO) and João (Product Engineer).

What You’ll Do

  • Ship product end-to-end - data model, backend, interface, follow-through - weekly, to teams at Remote, GoCardless and Mollie.
  • Build the reasoning layer itself: extraction pipelines, LLM orchestration, evaluation.
  • Build the surfaces around it: capture in Slack and voice, delivery through our MCP server and integrations like Salesforce and Gong.
  • Be part of customer standups and discovery - most product decisions here start with a conversation, not a ticket.
  • Help define what done means - reliability, testing, observability - the bar our next ten engineers inherit.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What You’ll Bring

Essential

  • You've shipped production software in TypeScript and React - ideally in a startup or early-stage.
  • You're AI-native in how you work, and you have a system for holding that output to a standard.
  • You’re a self-starter, who sees problems and wants to solve them, rather than having to being told what to do.
  • You value giving and receiving feedback - we are building an open and transparent working culture.
  • London-based or open to relocation, three days a week in person. We value in-person time for brainstorming, alignment & planning.

Bonus

  • You’re curious about our customers and the world of presales & delivery. You enjoy diving into problems and understanding it from all angles. The more understanding you have, the more effective you’ll be at tackling the problems we’re solving.
  • You've built LLM pipelines in production and have scar tissue about evaluation.

What This Role Isn't

  • A pure infrastructure role. We don't yet have a scale problem. We’re still focused on "does this actually solve the problem" and iterating towards PMF, so customer and velocity come first. But senior means designing core systems with reliability and scale in mind, and knowing when that matters and when shipping wins. If you only want distributed systems at scale, you'd be underused here; if you can't think about them at all, you'd be miscast.
  • A founding engineer role. That team exists. You'd be joining an engineering function Lewis leads, at a company with customers, revenue and a category thesis we've already committed to. There's a huge amount still to define - but you're not starting from a blank page.
  • A settled engineering org. Some weeks are chaotic. Some things you ship will break. What we can promise is that we fix them fast and we're honest about it, with each other and with customers.

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Our Stack

TypeScript across the stack. React and Next.js with Tailwind and Radix/shadcn on the front end, Nest.js on the back. MongoDB, Redis and BullMQ. Render as a PaaS on AWS, Sentry for monitoring. Vellum for LLM orchestration and Pipedream as our integration layer. Anthropic and OpenAI models.


What You'll Receive

  • Competitive London Salary
  • Meaningful equity.
  • 25+ days of annual leave, plus all bank holidays
  • Apple hardware, and the AI tooling you need - we’re still prioritising speed over efficiency.
  • Weekly lunch out as a team
  • Working abroad - 4 weeks work-from-anywhere policy
  • Pension

Our Hiring Process

Our goal is to move fast and be transparent with you at every step.

  • Step 1: Apply.
  • Step 2: Video call with Edward (CEO) - 30 min.
  • Step 3: Live Technical Deepdive (75 min).
  • Step 4: Meet the team in person.
  • Step 5: Offer, followed by references.
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Location

London, England, United Kingdom

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