Product Engineer

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. Send a short note (links to work > resumes) to **careers@hamming.ai** 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. ##