- Job title
- Product Engineer
- Job location
- San Francisco, CA, US / London, England, GB / Austin, TX, US
- Job description
- **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 them. In fact, we invented this category. With one click, **thousands of our agents call our customers’ agents** across accents, background noise, and personalities—then we generate **crisp bug reports** and production-grade analytics. Reliability is the moat in voice AI, and that’s our whole job.
We are one of the fastest engineering teams in the world. We prod deploy 4x / day.
I’m 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.
[Devin Case Study](https://devin.ai/customers/hamming)
[Ranked #1 Eng team](https://www.linkedin.com/posts/andrew-d-churchill_sumanyu-ceo-at-hamming-ai-had-20x-the-output-activity-7354564854029901824-jSDP?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAh-eI0Bl3EbQhXGlnjcZ4TbyeByvoh32hg)
[OpenAI Dev Day 100billion token list](https://www.linkedin.com/posts/sumanyusharma_openaidevday-activity-7381718141455859712-OPhA?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAh-eI0Bl3EbQhXGlnjcZ4TbyeByvoh32hg)
### **What you’ll 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 what’s working and what’s not.
* **Maintain high engineering velocity while keeping craftsmanship**: clean APIs, strong abstractions, and excellent UI polish.
### **You might be a fit if you**
1. **Have 3+ years building customer-facing products** in a high-velocity environment (startup experience a plus).
2. **Are fluent in TypeScript** and comfortable across the stack (React/Next.js + Node services).
3. **Ship quickly but with discipline:** you write clear code, strong tests where it matters, and avoid accidental complexity.
4. **Have strong product instincts:** you can simplify complex workflows into crisp UX and make good tradeoffs under ambiguity.
5. **Love talking to users,** diagnosing friction, and iterating until a feature feels “done.”
6. **Care about reliability:** you build with observability, failure modes, and data correctness in mind.
7. **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 you’ll 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**: Next.js, 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**, let’s talk.
