Build the future of agentic e-commerce.
We're a small team moving fast. Every hire shapes the company. If you want to do the most important work of your career, read on.
Founding Full-Stack EngineerEngineeringFull-time · San Francisco
You will be the first engineer to own the full product surface — from the customer-facing dashboard to the APIs that power our agents in production. You'll work directly with the founders and have an outsized impact on every technical decision we make.
- —Build and own the end-to-end product: web app, APIs, agent orchestration layer.
- —Design systems that are reliable, observable, and easy to iterate on.
- —Ship fast. This is an early-stage company — velocity matters.
- —Work closely with customers to understand their workflows and translate them into product.
- —Help define the technical foundations the rest of the team will build on.
- —5+ years of experience shipping production web applications.
- —Strong proficiency in TypeScript, React, and a modern backend stack (Node, Python, or similar).
- —Comfortable with cloud infrastructure (GCP, AWS) and CI/CD pipelines.
- —Product-minded: you care about the experience, not just the code.
- —Bias for action — you'd rather ship and learn than deliberate indefinitely.
- ·Experience with LLM APIs, agent frameworks, or AI product tooling.
- ·Background in fintech, insurtech, or other regulated industries.
Founding Forward Deployed EngineerEngineeringFull-time · San Francisco
You sit at the intersection of engineering and customer success. You will own deployments end-to-end — from the first scoping call to a live agent in production — and feed hard-won field knowledge back into the product. This role is rare: part engineer, part solutions architect, part trusted advisor to our clients.
- —Own the technical deployment of Kinro agents at customer sites, from kickoff to go-live.
- —Write integration code, scripts, and tooling to connect Kinro to client systems.
- —Be the primary technical point of contact for customers post-sale.
- —Identify patterns across deployments and bring them back as product requirements.
- —Work with the founding team to develop repeatable deployment playbooks.
- —3+ years of experience in a forward deployed, solutions engineering, or implementation role.
- —Comfortable reading and writing code (Python, TypeScript, or similar).
- —Excellent communication — you can explain a technical constraint to a non-technical stakeholder.
- —Customer-obsessed: you find satisfaction in making someone's workflow significantly better.
- —High autonomy — you can manage a deployment end-to-end without hand-holding.
- ·Experience deploying AI or SaaS products in financial services or insurance.
- ·Familiarity with REST APIs, webhooks, and enterprise SSO/data pipelines.
Founding Research ScientistResearchFull-time · San Francisco
You will define how our agents think, reason, and improve. This is not a role for researchers who want to stay in the lab — you will own the full loop from hypothesis to eval to production. You'll work on hard problems: grounded generation, compliance-aware reasoning, multi-turn sales conversations, and agent-to-agent negotiation.
- —Design and run evaluations that measure what actually matters: conversion, compliance, satisfaction.
- —Research and implement improvements to our core agent capabilities.
- —Own the eval infrastructure and ensure every model update is measurable and safe to ship.
- —Stay current with the frontier of LLM research and rapidly integrate relevant advances.
- —Collaborate with engineering to take research from notebook to production.
- —PhD or equivalent research experience in ML, NLP, or a related field.
- —Track record of shipping research into real systems — papers are great, deployed models are better.
- —Deep familiarity with LLMs, fine-tuning, RLHF/RLAIF, and evaluation methodology.
- —Strong Python skills; comfortable with PyTorch or JAX.
- —Clear thinking and clear writing — you can explain your ideas to engineers and customers alike.
- ·Experience with agentic systems, multi-agent frameworks, or tool use.
- ·Knowledge of regulatory constraints in financial services (FCA, GDPR, etc.).
- ·Prior work at a research lab (DeepMind, Meta AI, OpenAI, etc.).
Don't see your role? We're always interested in exceptional people. Send a note to [email protected].
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