GTM Engineer

Hamming AI•San Francisco, CA

90d•Hybrid

About The Position

Hamming AI automates QA for voice AI agents. The company is looking for someone to own reliability and scale across their LLM-enabled platform, shipping precise, outcome-driven improvements to high-availability systems. The role involves owning the customer journey end-to-end, including outbound, discovery, demos, technical validation, closing, and expansion. As voice AI is a technical sale, the individual will be interacting with CTOs and AI teams regularly. While not requiring an engineering background, a deep curiosity to understand the product is essential. The company is seeking one individual who can manage their own pipeline, rather than a split SDR/AE model.

Requirements

Ability to think, write, and sell.
High agency: proactively create opportunities and push deals forward without chaos.
Strong writing skills.
Curiosity for technical depth: comfortable in calls with engineering and AI stakeholders.
Operational rigor: forecasting accuracy, clean systems, and keeping commitments.
Sharp discovery and qualification: isolate real pain, quantify impact, and map the buying process.
Coachable and competitive: take feedback well, and want to win.

Nice To Haves

Quota-carrying closing experience in B2B SaaS (mid-market or enterprise).
Experience selling developer tools, infra, observability, testing, security/compliance, or AI platforms.
Familiarity with voice AI stacks (telephony/WebRTC, STT/TTS, LLM tool calling, orchestration) and how they fail in production.
Experience selling into regulated industries (BFSI, healthcare) or running security-heavy procurement.
Startup experience (Seed–Series B) with ambiguity and fast iteration.

Responsibilities

Outbound pipeline generation across email, LinkedIn, calls, and events.
Discovery, demos, and technical validation with engineering, product, AI/ML, contact center ops, and security/compliance stakeholders.
Full-cycle close
Multi-threaded deals: map the org, identify champions, and build consensus across technical and business buyers.
Translate technical product value into quantified business outcomes
Structured pilots and evaluations with clear success criteria, timelines, and decision processes.
Navigate security and procurement (SOC 2, DPAs, BAAs where relevant, data retention, region pinning, and access controls) alongside internal teams.
Clean CRM hygiene: forecasting accuracy, mutual action plans, deal notes, next-step discipline.
Tight feedback loops to product and engineering on objections, competitive context, and pilot learnings.
Post-close partnership with customer success: clean handoff, identify expansion.