Most AI systems stop at insights.
We build systems that act.
We're building the causal backbone for mission-critical digital funnels. A foundation that powers autonomous loops which detect, diagnose, and stop revenue leaks, in production, where mistakes have real consequences.
Hard problems,
ridiculous leverage.
We're tackling complex problems at the core of modern businesses. As a founding engineer, you won't just ship features. You'll shape the systems, the architecture, and the product direction in a way that lasts.
Backed by world-class builders and investors
We're backed and advised by people who've built enduring technology companies. You'll work with a small, senior team that values craft, ownership, and a pace that only happens early on.
Real customers, real stakes
We're already working with large enterprises where what we build truly matters. As a founding team member, your work sits close to customers and revenue, and the impact is visible immediately.
Questions we think about every day
How does the system decide whether a KPI movement is real, explainable noise, or an urgent problem?
How do you make agent behavior reliable when the underlying data is incomplete or contradictory?
How do you evaluate quality when there is no obvious ground truth?
How do you build enough trust for the system to move from analysis into action?
How do you let the system improve from history and outcomes without becoming brittle or unsafe?
If these questions sound exciting rather than uncomfortable, you might be a strong fit.
Competitive Salary
With real upside
Meaningful Equity
Ownership that matters
Full Health Coverage
Medical, dental, vision
Flexible Time Off
When you need it
Wellness Stipend
Health & wellbeing
401(k) & More
Fertility benefits included
Open Positions
1 role open
We're building a system that can make and take decisions inside revenue-critical digital funnels. Not in a sandbox. In production systems where mistakes have real consequences.
The challenge is not generating answers. It is deciding what is true, what matters, and what to do about it under uncertainty. The data is messy, delayed, and often wrong. The same signal can have multiple competing explanations. There is no clean ground truth to train on. Actions can improve or break real business outcomes. Trust has to be earned before the system is allowed to act.
Most AI systems stop at insights because this part is hard. We are building systems that cross that boundary.
Today, our system already runs continuous detection and root cause analysis in production inside mission-critical enterprise workflows. The next step is building systems that can safely take action and improve these funnels over time. If we get this right, software does not just assist decision-making. It becomes part of the decision loop itself.
What This Role Is
This is a founding engineer role for someone who wants to build real systems from first principles and ship them into production. You will work directly with the founders to design, build, evaluate, and operate the core system. That includes everything from agent behavior and retrieval patterns to backend services, product surfaces, observability, and production reliability.
This is not about stitching together demos. It is about building systems that can reason over messy context, make good decisions, explain themselves, recover from failure, and improve over time. There is no separation here between product, engineering, and company building. You will help shape all three.
Concretely, you will be building the system itself — the runtime, the retrieval, the orchestration, the data infrastructure, the safety boundaries — not orchestrating prompts inside someone else's. Evaluation, observability, and quality loops are part of the work because you own the system end-to-end, not because someone hands you a pipeline to operate.
What You'll Work On
- ▸Build and ship agentic systems that reason across fragmented enterprise data and workflows
- ▸Design retrieval, memory, and context systems that help the product make better decisions over time
- ▸Build the infrastructure around the model: orchestration, safeguards, fallbacks, logging, replayability, and monitoring
- ▸Build the evaluation infrastructure that measures quality, regressions, trust, and real-world performance — and the feedback loops that use it to improve the system
- ▸Turn inconsistent signals, business logic, and historical outcomes into durable system context
- ▸Design systems that know when to act, when to ask, when to wait, and when to do nothing
- ▸Improve reliability under real production constraints like latency, cost, partial failures, and changing data
- ▸Work across the stack when needed, including backend systems, product surfaces, internal tools, and data flows
- ▸Partner closely with the founders on product direction, technical architecture, and engineering culture
You Might Be a Fit If You
- ▸Have 5+ years building production systems in one or more of: distributed backends, data pipelines, retrieval or agent runtimes, or core ML infrastructure
- ▸Have personally owned systems end-to-end — through design, ship, real failure modes, and recovery — that real users relied on
- ▸Are comfortable moving across backend, data, and AI application layers
- ▸Care deeply about correctness, edge cases, failure modes, and decision quality
- ▸Like ambiguous problems where the right abstraction is not obvious at the start
- ▸Move fast while keeping quality high
- ▸Want real ownership in a small, intense, high-trust team
- ▸Have strong product instincts and like building things people actually use
Strong signal: You've designed and shipped LLM systems end-to-end — the agents, retrieval, orchestration, and the evals you built to keep them honest — and you understand their failure modes from operating them in production, not from running someone else's benchmark.
You Will Probably Not Enjoy This Role If
- ▸You want a narrowly scoped role with clean boundaries
- ▸You need complete specs before you can start
- ▸You mainly want to do research rather than ship product
- ▸You are excited by demos more than reliability
- ▸You prefer polished environments over messy, early-stage ones
- ▸You optimize for local elegance over end-to-end outcomes
Why This Role Is Special
- ▸You will be one of the first engineers helping define the company and the product
- ▸You will work on problems where the answers do not exist yet
- ▸You will build systems that matter inside revenue-critical enterprise workflows
- ▸You will have real ownership across product, architecture, and execution
- ▸You will be working directly with an experienced founding team
- ▸You will help shape how autonomous decision systems are actually built in practice
Share a short note and links to anything you've built, written, or are proud of.
Don't see the right fit?
We're always looking for exceptional people. Tell us a bit about yourself and share your LinkedIn or portfolio, and we'll keep you in mind as our needs evolve.
Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time.