Software Engineer
1 мес. назад
70k–120k GBP / годВеликобританияSenior
elixirdata modelingproduction monitoring
Develop and maintain software solutions end-to-end for a sales pipeline generation product.
О компании
- is a small applied research lab working on the future of sales.
- We are a group of researchers, engineers, and technologists in London inventing at the edge of what's useful and possible. At , we build agents that generate sales pipeline for our customers. Our customers don't care how it happens, they care that it does.
- We're a small, talent-dense team moving extremely fast: 8 engineers shipping to production daily, talking directly to customers, and owning problems end-to-end.
Обязанности
- You won't be handed tickets. You'll be handed a problem and trusted to scope it, sequence it, and ship it end-to-end: design the data model, ship the migrations, instrument production, watch the metric move.
Требования
- 3+ years of production software engineering at a high-velocity company (we also hire at 6+ for senior scope)
- Deep TypeScript and modern web infra. We run Next.js, Bun, Postgres, ClickHouse, and OpenSearch on AWS, with Datadog over all of it
- You've built systems that had to hold up under real load
- You've shipped real LLM features: prompt design, evals, structured outputs, agentic workflows, and you know where they break
- Zero → one on ambiguous problems without a PM holding your hand
- Strong written communication: you can write a design doc that aligns a team
- Bias to action: you'd rather ship a working v1 today than a perfect v1 next month
- In person in London, 5 days a week (Piccadilly). UK-based or ready to relocate
Другое
- Maestro, our in-house dialer: real-time calling infrastructure on an Elixir core, placing millions of calls a month, with inbound, callbacks, and voicemail detection on local models
- The data engine underneath: provider waterfalls, LLM qualification and evaluation pipelines, a self-healing lead dataset, and scoring that decides who gets called next
- The intelligence layer: post-call insights and call-outcome classification
- Replacing every off-the-shelf tool we've outgrown with our own
- Customers pay us for Meetings Booked, not for software.Being paid for the outcome deletes a whole class of problems: no engagement metrics, no A/B-tested button colors, no features promised by sales.
- No PMs. The roadmap comes from the funnel that feeds that KPI: pickup rate, time in conversation, data accuracy. You own a number, not a backlog
- Your users are an SDR floor making tens of thousands of dials a day on what you ship. Every dial is instrumented: a regression shows on a monitor in seconds, before anyone has to tell you. Their asks are triaged the same day, the urgent ones are in production before the evening
- Real ownership: 8 engineers, big surface area, your fingerprints will be everywhere
- Senior bar: everyone you work with will sharpen you
- AI-native from day one, not retrofitting AI onto a legacy product
- Speed: our interview loop completes in 72 hours, and the job moves the same way
- Hit the ground running: you will have ownership of a hard problem within the first week