Listen Labs — Lead GTM Engineer

Type: Full-time | On-site (5 days/week) | New York City, NY · San Francisco, CA Compensation: $140,000–$210,000 + Competitive Equity Hiring count: 1 Visa sponsorship: None available Reports to: Head of Growth (Anish)

Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours, not months — analyzing conversations, surfacing themes, and enabling faster, smarter product decisions. Founded by serial entrepreneurs with a previous AI exit, with talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and multiple Sequoia-backed startups. Grew from $0 to $14M run-rate in under a year, with enterprise wins at Google, Microsoft, Nestlé, and P&G.

Founded: N/A | Team size: ~40 | Total funding: N/A (backed by Sequoia Capital, Conviction, AI Grant, Pear VC) Industry: AI / customer research Website: listenlabs.ai Office: New York City, NY · San Francisco, CA

• Career-defining scope: Own the technical backbone of the outbound motion from scratch, working directly with the Head of Growth to scale from current ARR to the next order of magnitude.
• Hypergrowth with top-tier backing: $0$14M run-rate in under a year, backed by Sequoia, Conviction, AI Grant, and Pear VC, with enterprise wins at Google, Microsoft, Nestlé, and P&G.
• Build from zero: Shape prospecting, enrichment, and outreach systems and the full GTM tech stack with end-to-end ownership and meaningful equity.

• An intake video is present on the Contrario role page but is not transcribed — no text intake summary is available. Re-paste a transcript if one exists and this section will be populated.

Listen Labs is hiring a Lead GTM Engineer to work directly with the Head of Growth and scale Listen from current ARR to the next order of magnitude — a technical, systems-oriented, energetic operator who builds the outbound backbone hands-on and treats no task as too small.

• →Design and build scalable systems for prospecting, enrichment, and outreach, owning the technical backbone of the outbound motion from data pipelines to automation workflows
• →Equip SDRs with world-class tooling, playbooks, and data insights to maximize efficiency and conversion rates across the funnel
• →Build ICP models, scoring frameworks, and segmentation logic to ensure outbound efforts are focused on high-intent, high-fit accounts
• →Evaluate, implement, and optimize GTM tools, including CRM, sequencing, enrichment, and intent data
• →Track, analyze, and report on outbound metrics from reply rates to pipeline contribution, and drive continuous improvement through experimentation
• →Work cross-functionally with Growth, Sales, Product, and Engineering to ensure outbound systems integrate seamlessly with the broader GTM strategy

Tech stack: Clay (core), Apollo, Smart Lead, Nooks, La Growth Machine; CRM / sequencing / enrichment / intent-data tools; SQL and automation scripting; Claude Code and AI-assisted sequencing / prospecting

• 5+ years in GTM operations, sales engineering, or RevOps with experience building outbound motions and SDR systems from scratch
• Hands-on builder, comfortable designing data models, writing SQL queries, and building automation scripts independently
• Experience building ICP models, scoring frameworks, and segmentation logic to target high-intent, high-fit accounts
• Proven ability to evaluate, implement, and optimize GTM tech stacks including CRM, sequencing, enrichment, and intent data tools
• Strong cross-functional collaborator, works across Growth, Sales, Product, and Engineering to integrate outbound systems into broader GTM strategy

• Has built and owns live outbound systems that are actively generating pipeline, not just someone who set things up and handed them off
• Power user of Clay, uses it daily for enrichment, waterfall logic, and automation, this is table stakes for the role
• Deeply AI-forward in their GTM approach, uses Claude Code, AI sequencing, and AI-assisted prospecting as a natural part of their workflow, not as a novelty
• Has hacked things together independently, built their own automations, scrapers, or GTM tools outside of formal job scope
• CS degree or technical undergraduate background, Anish explicitly preferred this as it correlates with the builder mentality he is looking for
• Has worked at a Series B to E company where GTM systems were built at real scale, not just configured off-the-shelf tools
• Knows the full modern GTM stack: Apollo, Clay, Smart Lead, Nooks, La Growth Machine, or equivalent, signals they have operated in a sophisticated outbound org
• Has done both RevOps and GTM engineering, understands the system requirements from both a strategic and execution standpoint

• Not AI-forward, does not actively use tools like Claude Code, AI-powered automation, or the latest GTM tooling in their day-to-day workflow, this is Anish's biggest red flag
• Not a builder, has not hacked things together independently, built their own automations, or created systems outside of a formal job scope
• Pure growth engineer profile focused on non-GTM initiatives like product-led growth or engineering-adjacent work, this role is specifically GTM engineering, not growth engineering broadly
• Has not worked with Clay or equivalent modern enrichment and automation tooling, this is core to the stack
• No evidence of live projects generating real pipeline, talks about systems but cannot point to outcomes

Salary$140,000–$210,000EquityCompetitive equityOn-site policyOn-site, 5 days/weekVisa sponsorshipNone availableEmployment typeFull-timeLocationNew York City, NY · San Francisco, CA

(Contrario's Required Candidate Q&A on the submission form)

1. Link to your LinkedIn profile
2. What's the most impressive thing you have done?
3. Are you based in NYC or the Bay Area and ready to work in office 5 days a week?

Stage 1 — Hiring Manager Interview — With the Head of Growth. Stage 2 — Case Study — Role-relevant case exercise. Stage 3 — Peer Interviews — With members of the team. Stage 4 — Onsite — Final onsite round. Stage 5 — Offer Extended Stage 6 — Candidate Hired — Candidate accepts and starts.

(Contrario also shows a "Pending Approval" gate before Stage 1 — this is the platform approval step, not a candidate-facing interview.)

No Ideal Companies section was present on the role page.

For reference only — do not source these specific profiles. Contrario labels this card "DO NOT CONTACT."

• Keyan Sarrafzadeh — LinkedIn URL not available (LinkedIn links on the page were icon buttons with no extractable URL)
• Laura Strazdina — LinkedIn URL not available
• Rahul Mehta — LinkedIn URL not available

No rejected-candidate feedback was present on the role page.