Location: Remote (North America) or Austin, TX
Employment Type: Full-time (no contractors)
Department: GTM
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) What you’ll do
As an AE at Hamming AI, you will own revenue outcomes end-to-end: prospecting into priority accounts, running tight discovery, aligning stakeholders, managing procurement/security workflows, and closing high-trust, multi-threaded deals. You will work closely with the founder, SDRs, engineering, and customer success to move quickly while maintaining a high-quality bar. Own a territory or named-account list and deliver new ARR against quarterly targets. Run full-cycle sales: pipeline creation (with SDR support), discovery, demos, technical validation, pricing, negotiation, close, and expansion. Lead multi-threaded sales cycles across engineering, product, AI/ML, contact center ops, and security/compliance. Translate technical product value into quantified business outcomes (lower defect rates, fewer escalations, reduced incident frequency, faster release velocity, and higher task success rate). Drive structured evaluations and pilots: define success criteria, timeline, stakeholders, and decision process; ensure crisp next steps. Navigate security, privacy, and procurement requirements (SOC 2, DPAs, BAAs where relevant, data retention, region pinning, and access controls) in partnership with internal teams. Maintain excellent CRM hygiene: pipeline accuracy, forecasting, deal notes, mutual action plans, and next-step discipline. Provide tight feedback loops to product and engineering based on prospect objections, competitive context, and pilot learnings. Partner with customer success post-close to ensure a clean handoff and identify expansion opportunities. What success looks like (60 days)
Week 1: ramp on product, common failure modes in voice agents, ICP, and messaging; shadow calls, and get demo-certified. By day 14: run discovery and first-call demos independently; generate a qualified pipeline in target segments. By day 30: lead 2–4 active evaluations with clear success criteria and multi-threaded stakeholder alignment. By day 60: close initial deals and build a repeatable motion for a segment (persona + use case + evaluation plan). Requirements
3+ years of quota-carrying closing experience in B2B SaaS (mid-market and/or enterprise). Demonstrated ability to run complex sales cycles with technical stakeholders (engineering/product/AI teams). Strong discovery and qualification: you can isolate the real pain, quantify the impact, and map the buying process. High operational rigor: forecasting accuracy, crisp next steps, and disciplined pipeline management. Strong executive communication: concise writing, clear meeting control, and high-trust stakeholder management. High agency and grit: you proactively create opportunities and push deals forward without chaos. Bonus points
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 frameworks) and how they fail in production. Experience selling into regulated industries (BFSI, healthcare) or supporting security/procurement-heavy workflows. Startup experience (Seed–Series B) with ambiguity and fast iteration. 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. Apply
If you want to
help build the backbone of reliable Voice AI
and you love owning complex, high-velocity sales cycles from first call to close, we’d like to meet you. Email a short note (no formal cover letter needed) to
careers@hamming.ai . Keep it concise and specific.
#J-18808-Ljbffr
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) What you’ll do
As an AE at Hamming AI, you will own revenue outcomes end-to-end: prospecting into priority accounts, running tight discovery, aligning stakeholders, managing procurement/security workflows, and closing high-trust, multi-threaded deals. You will work closely with the founder, SDRs, engineering, and customer success to move quickly while maintaining a high-quality bar. Own a territory or named-account list and deliver new ARR against quarterly targets. Run full-cycle sales: pipeline creation (with SDR support), discovery, demos, technical validation, pricing, negotiation, close, and expansion. Lead multi-threaded sales cycles across engineering, product, AI/ML, contact center ops, and security/compliance. Translate technical product value into quantified business outcomes (lower defect rates, fewer escalations, reduced incident frequency, faster release velocity, and higher task success rate). Drive structured evaluations and pilots: define success criteria, timeline, stakeholders, and decision process; ensure crisp next steps. Navigate security, privacy, and procurement requirements (SOC 2, DPAs, BAAs where relevant, data retention, region pinning, and access controls) in partnership with internal teams. Maintain excellent CRM hygiene: pipeline accuracy, forecasting, deal notes, mutual action plans, and next-step discipline. Provide tight feedback loops to product and engineering based on prospect objections, competitive context, and pilot learnings. Partner with customer success post-close to ensure a clean handoff and identify expansion opportunities. What success looks like (60 days)
Week 1: ramp on product, common failure modes in voice agents, ICP, and messaging; shadow calls, and get demo-certified. By day 14: run discovery and first-call demos independently; generate a qualified pipeline in target segments. By day 30: lead 2–4 active evaluations with clear success criteria and multi-threaded stakeholder alignment. By day 60: close initial deals and build a repeatable motion for a segment (persona + use case + evaluation plan). Requirements
3+ years of quota-carrying closing experience in B2B SaaS (mid-market and/or enterprise). Demonstrated ability to run complex sales cycles with technical stakeholders (engineering/product/AI teams). Strong discovery and qualification: you can isolate the real pain, quantify the impact, and map the buying process. High operational rigor: forecasting accuracy, crisp next steps, and disciplined pipeline management. Strong executive communication: concise writing, clear meeting control, and high-trust stakeholder management. High agency and grit: you proactively create opportunities and push deals forward without chaos. Bonus points
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 frameworks) and how they fail in production. Experience selling into regulated industries (BFSI, healthcare) or supporting security/procurement-heavy workflows. Startup experience (Seed–Series B) with ambiguity and fast iteration. 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. Apply
If you want to
help build the backbone of reliable Voice AI
and you love owning complex, high-velocity sales cycles from first call to close, we’d like to meet you. Email a short note (no formal cover letter needed) to
careers@hamming.ai . Keep it concise and specific.
#J-18808-Ljbffr