Product Engineer
Job Location:
Austin, TX - USA
Monthly Salary:
Posted on:
Vacancies:
Department:
Job Summary
Location: Remote (North America) or Austin TX
Employment Type: Full-time (no contractors)
Department: Engineering
About Hamming AI
Hamming automates QA for voice AI agents. Everyone is building voice agents. We secure fact we invented this category. With one click thousands of our agents call our customers agents across accents background noise and personalitiesthen we generate crisp bug reports and production-grade analytics. Reliability is the moat in voice AI and thats our whole job.
We are one of the fastest engineering teams in the world. We prod deploy 4x / day. Im looking for someone who can own reliability and scale across our LLM-enabled platform shipping precise outcome-driven improvements to high-availability systems.
Sumanyu (CEO)
Previously: grew Citizen 4 and scaled an AI sales program to $100Ms/yr at Tesla.
OpenAI Dev Day 100billion token list
What youll do
Own product features end-to-end: spec prototype ship iterate across frontend and backend.
Work closely with customers: onboard new accounts run weekly check-ins and act as a high-agency partner to drive adoption and outcomes.
Build core customer workflows for voice-agent QA: test creation scenario management evaluation results analytics debugging and triage.
Turn messy high-dimensional data (calls transcripts tool events traces eval outputs) into product experiences that are obvious and actionable.
Partner with customers to understand their reliability pain then translate it into shipped product with measurable outcomes.
Tighten the product loop: instrumentation funnels and feedback so we know whats working and whats not.
Maintain high engineering velocity while keeping craftsmanship: clean APIs strong abstractions and excellent UI polish.
You might be a fit if you
Have 3 years building customer-facing products in a high-velocity environment (startup experience a plus).
Are fluent in TypeScript and comfortable across the stack (React/ Node services).
Ship quickly but with discipline: you write clear code strong tests where it matters and avoid accidental complexity.
Have strong product instincts: you can simplify complex workflows into crisp UX and make good tradeoffs under ambiguity.
Love talking to users diagnosing friction and iterating until a feature feels done.
Care about reliability: you build with observability failure modes and data correctness in mind.
Communicate clearly: written specs crisp PRs and decisions that scale across a fast-moving team.
Bonus
Experience building analytics-heavy products (dashboards event pipelines debugging tools).
Familiarity with LLM apps evals tool calling or prompt/guardrail systems.
Experience with real-time systems telecom/voice or high-concurrency workflows.
Strong UI craft: interaction design information architecture and performance tuning.
Interesting problems youll touch
Debugging workflows for voice agents: call timelines transcripts tool calls traces and what changed diffs.
Test authoring that scales: scenario libraries parameterization coverage and regression packs.
Evaluation UX: turning model-graded / heuristic / human feedback into trustworthy signals and action items.
Analytics that matter: reliability metrics customers can run their business on.
Enterprise readiness in-product: RBAC audit trails data retention and environment/region controls.
Our stack
App: TypeScript Tailwind
AI: OpenAI Anthropic STT/TTS providers
Realtime/Orchestration: LiveKit Pipecat/Daily Temporal
Infra/DB: AWS k8s PostgreSQL Redis Terraform
Observability: OpenTelemetry SigNoz
Apply
If you want to build the product layer for reliable Voice AI lets talk.
Send a short note (links to work > resumes) to and tell us about a product you shipped end-to-end: what you built where it was painful what tradeoffs you made and how you knew it worked.
Required Experience:
IC
