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Tech Lead

Hamming AI · hamming.ai
AustinHybridLead / Manager
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The job in short

Technical team leadership.

PythonTypeScriptLLM

Details

Found
25 d ago · posted 2025-10-29
Location as listed
Austin
Role
Engineering Manager
Source
The company’s own careers site

Full description

Location: Remote (North America) or Austin, TX Employment Type: Full-time (no contractors) Department: Engineering About Hamming AI Hamming builds three products for voice and chat AI agents: testing/simulation to validate behavior before launch; red-teaming to probe for prompt injection, jailbreaks, PII leakage, and policy violations; and production monitoring/observability to detect failures in live conversations and turn them into regression tests. 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 Ranked #1 Eng team OpenAI Dev Day 100billion token list Why this role matters We’re moving fast, shipping constantly, and need a tech lead who can guide the team without slowing it down. This isn’t a people-manager role hidden behind meetings. You’ll lead a team of five engineers, make architecture calls, mentor others, and still ship meaningful code every week. You’ll be in the middle of everything - from scaling our evaluation engine to making sure customers love the product. What you’ll own • Technical direction across the stack - backend, frontend, and infra. You’ll decide what’s “good enough” today and what deserves to be rebuilt. • Team leadership: unblock engineers, set clear priorities, run lightweight design reviews, and keep the team aligned without red tape. • System reliability: make sure our platform stays fast, observable, and stable while traffic grows 100x. • Hands-on delivery: contribute to key projects weekly — from new product experiments to hardening real-time systems. • Cross-functional glue: keep product and operations connected so decisions flow and context isn’t lost. What you’ll do day to day • Write code (TypeScript, Python, or both) alongside your team. • Review architecture and PRs - guide decisions without micromanaging. • Help define sprint priorities and keep roadmaps tight and realistic. • Pair with engineers when things break - not just to fix them, but to make sure they don’t break again. • Run post-mortems that actually lead to better systems, not longer docs. • Evaluate new tech (LLMs, infra tools, observability stacks) and decide what’s worth bringing in. You might be a fit if you • Have 6 - 10 years leading 3 - 6 engineer pods in high-availability, high-frequency deploy shops. • Built and operated realtime/distributed systems (workflow engines, WebRTC/telephony, large fan-out queues). • Still enjoy shipping code and debugging hairy issues yourself. • Have strong fundamentals across backend, infra, and architecture, and can also talk product tradeoffs fluently. • Can move comfortably between TypeScript/Node.js, Python, and cloud infra (AWS, Terraform, Kubernetes). • Understand how to design LLM-powered systems that are testable, measurable, and resilient. • Communicate clearly - direct, concise, and respectful. You default to writing things down. • Care about outcomes more than process. Bonus points if you’ve: • Built AI products (especially voice or real-time systems). • Operated at an early-stage startup before - and liked it. • Have an instinct for how to turn chaos into repeatable systems. How we work • Outcomes over output: we adjust roadmaps when new data lands. • Demo early and document decisions so context moves fast. • Own incidents: lead the investigation, write crisp notes, land durable fixes. • Direct, candid, respectful communication keeps remote teammates in lockstep with Austin HQ. 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 lead a small, senior team that’s building the backbone of reliable voice AI, we’d love to talk. Send a short note (no formal cover letter needed) to [email protected] — tell us about something you built that scaled fast and stayed reliable.

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