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Listen Labs

Account Executive, Strategic Accounts

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In-Office
San Francisco, CA, USA
In-Office
San Francisco, CA, USA

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TL;DR:
We’re hiring a killer Strategic AE to go after ~50 of the largest companies in the world. This is not a volume role. This is a high-stakes, high-impact seat focused on landing and expanding 6–7 figure deals inside complex, global enterprises. You’ll work directly with our VP of Revenue to win accounts that define the company.

If you’ve consistently closed big deals, built executive relationships, and want a shot at a career-defining run — keep reading.

Background

Listen Labs is an AI-powered research platform that helps teams uncover insights from customer interviews in hours — not months. We help customers analyze conversations, surface themes, and make faster, smarter product decisions.

Company highlights — entirely product-led:

  • World-Class Team: Founded by serial entrepreneurs (previous AI exit), former co-founders, and talent from Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and many more Sequoia-backed startups (plus IOI/ICPC backgrounds).

  • Hypergrowth: We're a fast-growing team backed by top-tier investors that's grown several-fold in the past year, and we're set on multiplying that again. We move fast, care deeply about craft, and love working with people who take ownership.

  • Traction: Rapid growth across segments with enterprise wins at Google, Microsoft, Nestlé, and P&G.

  • Performance: Industry-leading win rate driven by a highly differentiated product.

  • Market Validation: Consistently winning customers across all segments with over six-figure lands that lead to quick expansions.

  • Viral Product: Interviews are shared with tens of thousands of viewers, fueling PLG, organic expansion, and daily inbound from Fortune 500s.

What You’ll Do

Own the top 50 accounts (and nothing else):

  • Relentlessly pursue a curated list of mega-cap enterprises

  • Build deep, surgical account plans — org mapping, power mapping, political mapping

  • Create and drive multi-threaded strategies across business units

Close deals that matter:

  • Run complex, high-stakes sales cycles with 6–10+ stakeholders

  • Sell to VP, SVP, and C-suite with credibility

  • Drive urgency in slow-moving orgs

  • Close large, multi-year, 6–7 figure deals

Break into accounts others can’t:

  • Cold outbound to senior executives — and get responses

  • Use creativity, persistence, and network to open doors

  • Turn light inbound into massive opportunities

Lead from the front:

  • Pull in execs, product, and eng at the right moments to win

  • Control the deal — don’t let procurement or consensus kill it

  • Maintain a high bar on pipeline, forecasting, and deal quality

Who You Are

  • 5–8+ years closing in B2B SaaS — and you’ve actually closed big deals

  • Track record of winning 6–7 figure enterprise contracts

  • You’ve sold into complex, global orgs and know how to navigate them

  • You multi-thread by default — not as a “nice to have”

  • Strong executive presence — you can hold your own with senior buyers

  • You create pipeline, not just work it

  • Competitive, persistent, and comfortable hearing “no” 20 times to get one “yes”

  • You want to be in the room for the deals that matter — not padded pipeline

Why This Role

  • Top 50 accounts only — focus over volume

  • Real enterprise traction — not “trying to go upmarket”

  • Massive deal potential — land small, expand fast, or go big from day one

  • Direct line to leadership — you’ll help shape how we win enterprise

  • Career-defining upside if you execute

Life at Listen Labs

  • Competitive Compensation: We're backed by world-class investors, including Sequoia Capital, Ribbit, and Conviction, alongside Evantic, AI Grant, and Pear VC, and offer competitive compensation packages with meaningful equity ownership in a market where over 30B has been created in adjacent industries (Medallia, AlphaSense, GLG, Ipsos, Kantar). Our Sequoia partner, Bryan Schreier, was the first investor in Qualtrics—a $12B company tackling similar problems to ours.

    • The range for this role is $280,000 – $350,000 OTE. Actual compensation is influenced by a wide array of factors, including but not limited to skill set, experience, and work location. If this range doesn't match your expectations, we still encourage you to apply.

  • Benefits that Support You: Comprehensive healthcare and dental coverage, flexible time off to recharge, and an environment that values balance and trust.

  • Room to Grow: As an early member of the team, you’ll have the opportunity to take on new responsibilities, shape processes from scratch, and grow alongside the company. We value people who want to stretch beyond their role and build something lasting.

HQ

Listen Labs San Francisco, California, USA Office

425 2nd St, St 601, San Francisco, California, United States, 94107

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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