At a Glance
- Tasks: Own and expand top 50 global accounts, closing high-stakes deals.
- Company: Join Listen Labs, the fastest AI research platform trusted by major brands.
- Benefits: Competitive salary, health coverage, learning stipends, and flexible time off.
- Other info: Dynamic team culture with opportunities for growth and collaboration.
- Why this job: Make a real impact with enterprise-level clients and shape your career.
- Qualifications: 5-8 years in B2B SaaS sales with a track record of closing big deals.
The predicted salary is between 75600 - 92400 £ per year.
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.
Listen Labs is the world's fastest AI research platform, built so every company can understand what their customers want, why, and what to do about it. Our AI conducts in-depth interviews, analyses conversations, and delivers executive-ready insights in hours, not weeks. Born out of a Harvard research project, Listen is trusted by teams at leading brands like Google, Microsoft, Anthropic, Perplexity, Sweetgreen, Replit, and Nestlé to bring real customer voices into their biggest product, marketing, and growth decisions.
Company highlights — entirely product-led:
- World-Class Team: Founded by serial entrepreneurs and built with talent from Google, Meta, Tesla, Amazon, Jane Street, and X, alongside Bain, Goldman Sachs, McKinsey, and Sequoia-backed startups.
- Hypergrowth: Since launching, Listen has grown annualised revenue 15x and completed over 2 million interviews — backed by $100M in total funding.
- Traction: Already serving 15% of Fortune 100s with enterprise wins and expansions.
What You’ll Do:
- Own the top 50 accounts: 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.
- Run complex, high-stakes sales cycles with 6–10+ stakeholders.
- Sell to VP, SVP, and C-suite with credibility.
- Drive urgency in slow-moving organisations.
- Close large, multi-year, 6–7 figure deals.
- Cold outbound to senior executives — and get responses.
- Use creativity, persistence, and network to open doors.
- Lead from the front and control the deal.
Who You Are:
- 5–8+ years closing in B2B SaaS with a track record of winning 6–7 figure enterprise contracts.
- You’ve sold into complex, global organisations and know how to navigate them.
- Strong executive presence — you can hold your own with senior buyers.
- Competitive, persistent, and comfortable hearing “no” 20 times to get one “yes.”
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:
- Health, covered: Full medical, dental, and vision.
- Competitive compensation with meaningful equity ownership.
- Annual Learning Stipend for books, courses, conferences, coaching, language lessons.
- Flexible time off: A take-what-you-need vacation policy.
- Room to grow: As an early member of the team, you'll own end-to-end processes from scratch and grow alongside the company.
Account Executive, Strategic Accounts in London employer: Listen Labs
Listen Labs is an exceptional employer, offering a dynamic work environment in the heart of San Francisco where innovation thrives. As a Senior Recruiter, you'll not only shape hiring strategies but also enjoy comprehensive benefits including competitive compensation, wellness stipends, and a flexible time-off policy. With a focus on employee growth and a culture that celebrates achievements, you'll be part of a world-class team driving meaningful change in AI research.
