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At Lapel, we believe the most hospitable companies win. We're building the data, infrastructure, and tools that help customer-facing teams understand every customer and act on that insight at scale throughout the entire customer lifecycle.
Most internet businesses want to treat customers well, but their tools work against them. We’re building the layer that makes every interaction feel personal again: unifying context, coordinating action, and closing the gap between intent and experience.
It’s a technically ambitious challenge spanning data infrastructure, AI, and systems design – with a deeply human outcome: helping software companies serve people better. We call it hospitality at scale.
We’re well-funded, backed by top-tier investors, and already working with exceptional companies, from fast-growing startups to large enterprises. We’ll share more details when we talk.
At the core of Lapel are well thought-out and abstracted primitives. You'll own the object models, contracts, and abstractions that every product experience is built on top of: customer records and threads, workflows, permissions, and actions.
Great primitives make Lapel feel powerful, coherent, and obvious. Poor primitives lead to complexity everywhere else. You’ll be responsible for making the foundations simple enough to build on, flexible enough for enterprise customers, and opinionated so that Lapel never becomes a blank canvas.
Build the state, history, permissioning, and event models that make every Lapel primitive reliable and extensible
Design an extensibility model that gives customers power without turning Lapel into an unstructured blank canvas
Make primitives usable by both people and agents, with clean actions, histories, permissions, and memory surfaces
Help decide what should become a Lapel default, what should be configurable, and what should remain fully custom
Lapel is built end-to-end in TypeScript in a single monorepo.
React, Vite, and Tailwind on the frontend;
Node.js and Postgres on the backend;
Temporal and Pulsar to power orchestration.
We ship quickly, and care about creating a developer experience where anyone can prototype, experiment, and get ideas into production fast.
Have 5+ years of backend or software engineering experience, with a track record of designing systems others build on top of
Have owned large-scale, enterprise products end-to-end
Are comfortable designing APIs, data models, permissions, and backend abstractions
Have strong judgment about when to keep systems simple, when to make them flexible, and when to make clear product decisions
Enjoy turning messy real-world workflows into reliable, reusable systems
Are customer-focused and able to translate product needs into thoughtful backend foundations
Enjoy working in fast-paced environments with high ownership and autonomy
Are proactive, detail-oriented, and take pride in building high-quality systems
We aim to hire with intention, respect your time, and offer feedback along the way.
Initial conversation (20 minutes) We’ll explore your motivations, share what we’re building, and answer your questions.
In-depth interview (60 minutes) We’ll go deeper into your craft and experience. No live coding. No prep work necessary.
Take-home project (2–4 hours) You’ll complete a short, well-scoped exercise that mirrors the kind of work you’d do here.
On-site visit (1–2 days) Join us in the office to review your take-home, grab lunch, and work on something real.
We believe great people build great companies – and we invest accordingly.
Competitive salary + meaningful early-stage equity
Full benefits: medical, dental, vision, 401(k), and commuter benefits
Generous time off: many company holidays and coordinated team-wide breaks throughout the year to focus and recharge
Office perks: lunch and dinner provided daily, in-office snacks, and health & wellness benefits
Team culture: regular off-sites, tight feedback loops, and a bias toward action
A trillion-dollar problem hiding in plain sight. Companies spend over $1T a year on customer-facing teams and $150B on the tools meant to support them, yet every team still pieces context together across a dozen disconnected systems. We're rebuilding this from the foundation, and AI makes now the only moment it's possible.
The most interesting place to apply AI is where the work actually happens. Customer operations is one of the largest, most under-built surfaces in software. Every company runs on it, every team feels the pain, and the tools haven't been seriously reimagined in fifteen years. We think the next generation of category-defining B2B companies will be built here.
One platform, every customer-facing team. Sales, success, support, and ops all serve the same customer relationship, but each one buys a different tool to do it. Owning the foundation means the surface area grows with the company, from a single team to the entire revenue org to the whole business. That's the market, and the mission: better service at internet scale.
Lapel works in person in San Francisco, five days a week, at our office on Market Street. We hire people who'd be restless anywhere else.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.