Sequence
About Sequence If you join Sequence, you'll help build the platform that lets companies get paid - we're already processing $1bn+ in annual invoice volume and growing fast. We're building the AI-powered revenue platform for modern finance teams, replacing fragile spreadsheets and legacy systems with software their teams love using. Cognition, incident.io, MoonPay, and 100+ other high-growth companies trust us to handle their entire revenue cycle across quoting, billing, and revenue recognition. Founded by repeat entrepreneurs, we hit 10x ARR growth last year and just closed a $20M Series A led by 645 Ventures, alongside a16z and exceptional founders and CFOs from companies like Decagon, Klaviyo and Wise. What's it like to work at Sequence? Small team, big opportunity, real ownership. You'll do work that matters, have direct access to customers, and grow alongside the company. If you want to do the best work of your career at a company that's scaling fast, we'd love to meet you. What you'll be doing We care deeply about the quality of the product we're building. We're looking for engineers who are ambitious and take ownership end-to-end: from identifying what to build, through shipping, to making sure it works for real customers. Here's what you might work on: Our AI infrastructure. We process over a billion dollars a year through Sequence so correctness is table-stakes. You'll build and own the platform that allows us to build reliable software on top of non-deterministic models, including agentic workflows, prompt iteration, tools, and evals. AI-powered approval workflows. Enterprise deals need approval chains, but rigid workflows break when every company has different rules. You'll build flexible routing that customers configure in natural language - "require VP approval for deals over $100k with annual terms" - and turn that into deterministic, auditable business logic. An intelligent collections agent. Chasing late payments is tedious, manual work. We're building an agent you instruct in natural language ("send a reminder at 7 days overdue; escalate at 14 days"), which then runs the entire workflow and collects the relevant context autonomously. We're a lean team growing to 20+ engineers. You'll have real influence on what we build and how we build it. Early enough to shape fundamental architecture. Late enough that customers depend on what you ship. We're looking for product engineers who live in this space. You have informed views on which tool to reach for and when. You've built side projects to see what's possible. You take AI security seriously - you've scrutinized the threat vectors and you treat models as untrusted by default. See what we've shipped in our public changelog. You should apply if You're a builder who wants to solve problems end-to-end: You've shipped LLM-based systems to real customers and have first-hand experience with how they fail in production. You've designed agentic systems and have informed views on the building blocks (like embeddings, memory, tool use, long-running state, recovery from partial failures) and when to reach for each. You've built evals infrastructure (like datasets, LLM as judge, prompt regression tests, monitoring) and have a clear view of what good looks like. You respect the weight of building business-critical systems on top of non-deterministic models and are comfortable writing resilient software. You have informed opinions about the tooling for building, evaluating, and securely running multi-provider AI systems in production. You've shipped production backend systems and care about the difference between "it works" and "it's reliable". You care about customers - you want to understand why you're building something, not just what. You're comfortable with ambiguity. You thrive in early ideation stages, share work-in-progress to gather feedback, and adapt easily based on input. You communicate clearly. Thoughtful communication is a superpower that sharpens how we collaborate and build. This might not be right if We're a small team moving fast on hard problems. That might not be a fit if you: Prefer a slower pace. Customers are depending on what we ship. Enjoy larger organisation structures and staying only within your area of expertise. Taking ownership here means doing whatever the problem needs. Want a traditional engineering team set up, with a predictable roadmap and clearly scoped out tickets provided for you. Aren't comfortable with production responsibility. We're revenue-critical infrastructure - on-call matters here. Tech stack We hire for ability, not a specific tech stack. Most of the team learned Kotlin here: Backend: Kotlin (modular monolith using Http4k, Spring Boot, Exposed, Result4k). Storage: Postgres, BigQuery. AI Platform: Vertex AI, Langsmith, more to come here. Async messaging: Google Cloud Pub/Sub. Infrastructure: Google Cloud, Terraform. Frontend: TypeScript, React. Monitoring: Google Cloud Monitoring, Sentry. Tools: GitHub, Slack, Notion, Linear. How we work We're based in London and New York and love spending as much time with our colleagues as possible. We spend three days together in the office, with team lunch on Wednesdays. You'll join a cross-functional product team working directly with design and product. We get together twice a year for company offsites. What we offer Salary: £115,000 - £130,000 Equity: Meaningful share options 25 days holiday + bank holidays. Modern, flexible pension via Penfold with salary sacrifice available. Visa sponsorship available. Interview process We move fast - typically 2 weeks start to finish. We've written a detailed blog post about the process with tips for how to prepare. Public resources on Sequence Podcasts: Wharton FinTech: Reinventing Billing & Quote-to-cash (Dec 2025): origin story, why Riya built Sequence after her first exit. Tech Finance with Sasha Orloff: E14: Revenue Models 101 & the New Stack: pricing/revenue models, quote-to-cash thesis. Riding Unicorns: S6E5: written recap: M&A, founding story, enterprise product views. Bae HQ: Episode 207: a16z round, category vision. The SaaS CFO with Ben Murray: AI-native B2B billing pitch. Converge Podcast (May 2024): "financial router" framing. Transcript of the Wharton FinTech episode if you want to skim rather than listen. Written: USXP: From Oxford to a16z: building a US-first mindset at Sequence: go-to-market and US expansion. The FP&A Guy: How modern finance teams are automating billing with AI: guest piece on AI in finance ops. Sequence blog: Introducing Sequence 2.0: her launch post for the AI-native rebuild.
About Sequence If you join Sequence, you'll help build the platform that lets companies get paid - we're already processing $1bn+ in annual invoice volume and growing fast. We're building the AI-powered revenue platform for modern finance teams, replacing fragile spreadsheets and legacy systems with software their teams love using. Cognition, incident.io, MoonPay, and 100+ other high-growth companies trust us to handle their entire revenue cycle across quoting, billing, and revenue recognition. Founded by repeat entrepreneurs, we hit 10x ARR growth last year and just closed a $20M Series A led by 645 Ventures, alongside a16z and exceptional founders and CFOs from companies like Decagon, Klaviyo and Wise. What's it like to work at Sequence? Small team, big opportunity, real ownership. You'll do work that matters, have direct access to customers, and grow alongside the company. If you want to do the best work of your career at a company that's scaling fast, we'd love to meet you. What you'll be doing We care deeply about the quality of the product we're building. We're looking for engineers who are ambitious and take ownership end-to-end: from identifying what to build, through shipping, to making sure it works for real customers. Here's what you might work on: Our AI infrastructure. We process over a billion dollars a year through Sequence so correctness is table-stakes. You'll build and own the platform that allows us to build reliable software on top of non-deterministic models, including agentic workflows, prompt iteration, tools, and evals. AI-powered approval workflows. Enterprise deals need approval chains, but rigid workflows break when every company has different rules. You'll build flexible routing that customers configure in natural language - "require VP approval for deals over $100k with annual terms" - and turn that into deterministic, auditable business logic. An intelligent collections agent. Chasing late payments is tedious, manual work. We're building an agent you instruct in natural language ("send a reminder at 7 days overdue; escalate at 14 days"), which then runs the entire workflow and collects the relevant context autonomously. We're a lean team growing to 20+ engineers. You'll have real influence on what we build and how we build it. Early enough to shape fundamental architecture. Late enough that customers depend on what you ship. We're looking for product engineers who live in this space. You have informed views on which tool to reach for and when. You've built side projects to see what's possible. You take AI security seriously - you've scrutinized the threat vectors and you treat models as untrusted by default. See what we've shipped in our public changelog. You should apply if You're a builder who wants to solve problems end-to-end: You've shipped LLM-based systems to real customers and have first-hand experience with how they fail in production. You've designed agentic systems and have informed views on the building blocks (like embeddings, memory, tool use, long-running state, recovery from partial failures) and when to reach for each. You've built evals infrastructure (like datasets, LLM as judge, prompt regression tests, monitoring) and have a clear view of what good looks like. You respect the weight of building business-critical systems on top of non-deterministic models and are comfortable writing resilient software. You have informed opinions about the tooling for building, evaluating, and securely running multi-provider AI systems in production. You've shipped production backend systems and care about the difference between "it works" and "it's reliable". You care about customers - you want to understand why you're building something, not just what. You're comfortable with ambiguity. You thrive in early ideation stages, share work-in-progress to gather feedback, and adapt easily based on input. You communicate clearly. Thoughtful communication is a superpower that sharpens how we collaborate and build. This might not be right if We're a small team moving fast on hard problems. That might not be a fit if you: Prefer a slower pace. Customers are depending on what we ship. Enjoy larger organisation structures and staying only within your area of expertise. Taking ownership here means doing whatever the problem needs. Want a traditional engineering team set up, with a predictable roadmap and clearly scoped out tickets provided for you. Aren't comfortable with production responsibility. We're revenue-critical infrastructure - on-call matters here. Tech stack We hire for ability, not a specific tech stack. Most of the team learned Kotlin here: Backend: Kotlin (modular monolith using Http4k, Spring Boot, Exposed, Result4k). Storage: Postgres, BigQuery. AI Platform: Vertex AI, Langsmith, more to come here. Async messaging: Google Cloud Pub/Sub. Infrastructure: Google Cloud, Terraform. Frontend: TypeScript, React. Monitoring: Google Cloud Monitoring, Sentry. Tools: GitHub, Slack, Notion, Linear. How we work We're based in London and New York and love spending as much time with our colleagues as possible. We spend three days together in the office, with team lunch on Wednesdays. You'll join a cross-functional product team working directly with design and product. We get together twice a year for company offsites. What we offer Salary: £115,000 - £130,000 Equity: Meaningful share options 25 days holiday + bank holidays. Modern, flexible pension via Penfold with salary sacrifice available. Visa sponsorship available. Interview process We move fast - typically 2 weeks start to finish. We've written a detailed blog post about the process with tips for how to prepare. Public resources on Sequence Podcasts: Wharton FinTech: Reinventing Billing & Quote-to-cash (Dec 2025): origin story, why Riya built Sequence after her first exit. Tech Finance with Sasha Orloff: E14: Revenue Models 101 & the New Stack: pricing/revenue models, quote-to-cash thesis. Riding Unicorns: S6E5: written recap: M&A, founding story, enterprise product views. Bae HQ: Episode 207: a16z round, category vision. The SaaS CFO with Ben Murray: AI-native B2B billing pitch. Converge Podcast (May 2024): "financial router" framing. Transcript of the Wharton FinTech episode if you want to skim rather than listen. Written: USXP: From Oxford to a16z: building a US-first mindset at Sequence: go-to-market and US expansion. The FP&A Guy: How modern finance teams are automating billing with AI: guest piece on AI in finance ops. Sequence blog: Introducing Sequence 2.0: her launch post for the AI-native rebuild.
Sequence
What's it like to work at Sequence? Small team, big opportunity, real ownership. You'll do work that matters, have direct access to customers, and grow alongside the company. If you want to do the best work of your career at a company that's scaling fast, we'd love to meet you. What you'll be doing We care deeply about the quality of the product we're building. We're looking for ambitious software engineers with strong backend and cloud infrastructure experience to build the systems that power billing for modern B2B companies. Here's what you'll do: Own revenue critical event infrastructure. You'll work on systems that process customer usage data on which billing and invoicing depend. Design event streaming pipelines that handle high throughput with low latency. Build robust systems where data accuracy is non negotiable. Design scalable data systems. You'll work with event streaming architectures, building sophisticated ingestion pipelines and query optimization strategies. Our event volumes grow with every new customer, so you'll architect systems that scale efficiently while keeping costs reasonable. Shape our backend architecture. You'll tackle our most complex technical challenges and set the standards for how we solve them. Our services run on Kotlin with Spring Boot, and you'll have significant influence over architectural patterns and how we approach infrastructure problems. Build for the next phase of growth. You'll design systems that work beautifully today and scale to 10 the load tomorrow. This means thinking about data storage strategies, horizontal scalability, and how your architectural decisions affect performance as volume increases. We're a lean team growing to 20+ engineers. You'll have real influence on what we build and how we build it. Early enough to shape fundamental architecture. Late enough that customers depend on what you ship. You'll design systems that process high velocity event streams, make technical decisions that balance cost and performance at scale, and build infrastructure that never compromises on reliability. This is business critical infrastructure: a dropped event means someone isn't charged correctly. An outage at month end means finance teams can't collect revenue from their customers. You should apply if You're a builder who wants to solve problems end to end: You've shipped production backend systems and care about the difference between "it works" and "it's reliable". You love building systems that scale. You've worked on backends that handle significant load and understand the tradeoffs in designing for throughput, latency, and cost. You know when to optimize and when good enough is actually good enough. You have strong experience in event driven architectures. You've built pub/sub systems, worked with event streaming platforms, and understand the nuances of event delivery semantics, backpressure, and ordering guarantees. You think deeply about data systems. You've worked with analytical databases or OLAP systems. You can reason about columnar storage, indexing strategies, and query optimization without needing a whiteboard. You own your infrastructure. You've provisioned cloud resources, written infrastructure as code, and made architectural decisions that balance competing constraints. You understand how to model and optimize costs as systems scale. You care about customers - you want to understand why you're building something, not just what. You're comfortable with ambiguity. You thrive in early ideation stages, share work in progress to gather feedback, and adapt easily based on input. You communicate clearly. Thoughtful communication is a superpower that sharpens how we collaborate and build. Tech stack We hire for ability, not a specific tech stack. Most of the team learned our stack here: Backend: Kotlin (modular monolith using Http4k, Spring Boot, Exposed, Result4k) Storage: Postgres, BigQuery Async messaging: Google Cloud Pub/Sub Infrastructure: Google Cloud, Terraform Frontend: TypeScript, React Monitoring: Google Cloud Monitoring, Sentry Tools: GitHub, Slack, Notion, Linear How we work We're based in London and New York and love spending as much time with our colleagues as possible. We spend three days together in the office, with team lunch on Wednesdays. We get together twice a year for company offsites. What we offer Salary: £115,000 - £130,000 Equity: Meaningful share options 25 days holiday + bank holidays Modern, flexible pension via Penfold with salary sacrifice available Visa sponsorship available
What's it like to work at Sequence? Small team, big opportunity, real ownership. You'll do work that matters, have direct access to customers, and grow alongside the company. If you want to do the best work of your career at a company that's scaling fast, we'd love to meet you. What you'll be doing We care deeply about the quality of the product we're building. We're looking for ambitious software engineers with strong backend and cloud infrastructure experience to build the systems that power billing for modern B2B companies. Here's what you'll do: Own revenue critical event infrastructure. You'll work on systems that process customer usage data on which billing and invoicing depend. Design event streaming pipelines that handle high throughput with low latency. Build robust systems where data accuracy is non negotiable. Design scalable data systems. You'll work with event streaming architectures, building sophisticated ingestion pipelines and query optimization strategies. Our event volumes grow with every new customer, so you'll architect systems that scale efficiently while keeping costs reasonable. Shape our backend architecture. You'll tackle our most complex technical challenges and set the standards for how we solve them. Our services run on Kotlin with Spring Boot, and you'll have significant influence over architectural patterns and how we approach infrastructure problems. Build for the next phase of growth. You'll design systems that work beautifully today and scale to 10 the load tomorrow. This means thinking about data storage strategies, horizontal scalability, and how your architectural decisions affect performance as volume increases. We're a lean team growing to 20+ engineers. You'll have real influence on what we build and how we build it. Early enough to shape fundamental architecture. Late enough that customers depend on what you ship. You'll design systems that process high velocity event streams, make technical decisions that balance cost and performance at scale, and build infrastructure that never compromises on reliability. This is business critical infrastructure: a dropped event means someone isn't charged correctly. An outage at month end means finance teams can't collect revenue from their customers. You should apply if You're a builder who wants to solve problems end to end: You've shipped production backend systems and care about the difference between "it works" and "it's reliable". You love building systems that scale. You've worked on backends that handle significant load and understand the tradeoffs in designing for throughput, latency, and cost. You know when to optimize and when good enough is actually good enough. You have strong experience in event driven architectures. You've built pub/sub systems, worked with event streaming platforms, and understand the nuances of event delivery semantics, backpressure, and ordering guarantees. You think deeply about data systems. You've worked with analytical databases or OLAP systems. You can reason about columnar storage, indexing strategies, and query optimization without needing a whiteboard. You own your infrastructure. You've provisioned cloud resources, written infrastructure as code, and made architectural decisions that balance competing constraints. You understand how to model and optimize costs as systems scale. You care about customers - you want to understand why you're building something, not just what. You're comfortable with ambiguity. You thrive in early ideation stages, share work in progress to gather feedback, and adapt easily based on input. You communicate clearly. Thoughtful communication is a superpower that sharpens how we collaborate and build. Tech stack We hire for ability, not a specific tech stack. Most of the team learned our stack here: Backend: Kotlin (modular monolith using Http4k, Spring Boot, Exposed, Result4k) Storage: Postgres, BigQuery Async messaging: Google Cloud Pub/Sub Infrastructure: Google Cloud, Terraform Frontend: TypeScript, React Monitoring: Google Cloud Monitoring, Sentry Tools: GitHub, Slack, Notion, Linear How we work We're based in London and New York and love spending as much time with our colleagues as possible. We spend three days together in the office, with team lunch on Wednesdays. We get together twice a year for company offsites. What we offer Salary: £115,000 - £130,000 Equity: Meaningful share options 25 days holiday + bank holidays Modern, flexible pension via Penfold with salary sacrifice available Visa sponsorship available