About Sequence
At Sequence, we help build the platform that lets companies get paid. We already process $1bn+ in annual invoice volume and are growing fast. Our AI‑powered revenue platform replaces fragile spreadsheets and legacy systems with software that modern finance teams love to use. Companies like Cognition, incident.io, MoonPay, and 100+ others trust us to handle their entire revenue cycle across quoting, billing, and revenue recognition. Founded by repeat entrepreneurs, we hit 10× ARR growth last year and just closed a $20M Series A led by 645 Ventures, alongside a16z and other exceptional founders. We’re scaling quickly and looking for engineers who can own end‑to‑end build, ship, and operate reliable AI products.
What You’ll Be Doing
We care deeply about the quality of the product we build. You will own engineering features from discovery to shipping and ensure they work for real customers. Your responsibilities include building:
- AI infrastructure that supports reliable software on top of non‑deterministic models, including agentic workflows, prompt iteration, tool integration, and evaluation.
- AI‑powered approval workflows that let customers configure flexible routing in natural language and translate it into deterministic, auditable business logic.
- An intelligent collections agent that runs full payment‑collection workflows autonomously based on natural‑language instructions.
- Other production backend systems that demand resilience, security, and high reliability.
We are a lean team of 20+ engineers. Your work will influence fundamental architecture early and will become critical to customers as the product matures.
Qualifications
- Been a builder who shipped LLM‑based systems to real customers and has hands‑on experience with production failures.
- Designed agentic systems and understands building blocks such as embeddings, memory, tool use, long‑running state, and recovery from partial failures.
- Built evaluation infrastructure (datasets, LLM as judge, prompt regression tests, monitoring) and can articulate what a robust system looks like.
- Respect the weight of building business‑critical systems on non‑deterministic models and can write resilient code.
- Has informed opinions about tools for building, evaluating, and securely running multi‑provider AI systems in production.
- Has shipped production backend systems and cares about reliability.
- Cares about customers and understands the “why” behind features.
- Comfortable with ambiguity, collaborates early, shares work‑in‑progress, and adapts to feedback.
- Communicates clearly and concisely.
Tech Stack
We hire for ability, not a specific stack. Most engineers learn Kotlin. Typical components include:
- Backend: Kotlin (modular monolith using Http4k, Spring Boot, Exposed, Result4k)
- Storage: Postgres, BigQuery
- AI Platform: Vertex AI, Langsmith, and more to come
- Async Messaging: Google Cloud Pub/Sub
- Infrastructure: Google Cloud, Terraform
- Frontend: TypeScript, React
- Monitoring: Google Cloud Monitoring, Sentry
How We Work
Based in London and NewYork, we spend three days in the office per week with a team lunch on Wednesdays. Cross‑functional product teams work closely with design and product. We host company off‑sites twice a year and value flexibility and rapid decision making.
Compensation & Benefits
- Salary: £115,000 – £130,000
- Equity: Meaningful share options
- Holiday: 25 days + bank holidays
- Modern, flexible pension via Penfold with salary sacrifice available
- Visa sponsorship available
Interview Process
Our process typically takes about two weeks. It includes a quick initial screening, a technical interview focusing on system design and coding, a real‑world problem discussion, and a culture fit chat.
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