
Account Executive at Endgame (Bay Area)
Endgame· Bay Area· $225k–$275k·
Role details
Competitive Compensation · Equity · 401k · Health Insurance · Dental Insurance · Vision Insurance · Flexible Time Off · Paid Parental Leave
Summary
The Account Executive will sell a complex, technical platform to enterprise go-to-market teams, partnering with Forward Deployed Engineers to manage the full customer lifecycle from deployment to renewal. The role involves self-sourcing opportunities, conducting consultative discovery, and engaging executive stakeho...
Job description
About Endgame 🌎
Endgame is building the context engine for go-to-market. The bet underneath the company: the hard part of applied AI isn't the model — it's getting the right context to it. Real enterprise data is messy. Duplicated contacts across seven systems, deals referenced by nickname in Slack, methodology that lives in someone's head. Models can't reason their way out of that. You have to do the work upstream. So that's what we do. Entity resolution across CRM and conversational data, fact extraction with provenance, retrieval that respects permissions and recency, methodology encoded as first-class structure. The output: a layer that powers both day-to-day GTM work and the agents teams build on top of it — agents that work in production, not just demos. Companies like Monte Carlo, BetterUp, Braze, Hex, and Vistra run their revenue motion on it. We're a small, technical team solving specific, unsolved problems at the boundary of data engineering and applied AI. If that's the work you want to be doing, we'd like to meet you.
Your Mission 🚀
We're looking for an Account Executive who's excited to sell a complex, technical platform to enterprise GTM teams. You'll partner with a Forward Deployed Engineer on every account, working closely with prospects to help them transform to AI-native GTM organizations and own the customer lifecycle: through deployment, renewal and expansion.
Your Responsibilities 🗓
- Build pipeline – Self-source opportunities through outbound and your network.
- Run consultative discovery – Uncover how the prospect is already trying to build with AI for GTM, what they've tried, and where they're stuck.
- Engage executives top-down – work with our CEO to get in front of the Economic Buyer early and keep that thread alive through close.
- Multi-thread the buying committee – Engage business champions, technical champions, and economic buyers in parallel; pull the right people out of Slack threads and calendar invites, not just the CRM contact list.
- Own MEDDPICC discipline and pipeline hygiene – Qualify thoughtfully and disqualify early.
- Own the customer post-close – Partner with your FDE to drive adoption, expansion, and renewal. The relationship doesn't transfer; it deepens.
Our Ideal Candidate 🏅
- You've closed complex enterprise software deals – 5+ years selling at $500K+ ACV with multi-stakeholder buying committees and multi-month cycles. Complex SaaS, infrastructure, or AI/data platforms preferred.
- You're conversant on AI and data architecture – you can hold a credible technical conversation with a CIO, CTO, or Head of GTM Engineering without needing an SE in the room.
- You build executive relationships – you've gotten Economic Buyers (CROs, CEOs, CIOs) into the room and kept them engaged through close.
- You qualify well – you know the prospect who isn't ready, and you'd rather walk away or reset scope than burn quarters chasing.
- You hit the number, and you can name how – you've ramped quickly into new motions, ICPs, and categories before.
- Comfortable in a fast-paced startup environment, adapting quickly and collaborating across diverse teams.
Benefits 🏆
- Competitive compensation and equity
- 401k, health, dental, and vision insurance
- Flexible time off
- Paid parental leave
- Education stipend
The qualifications listed in our job descriptions are meant as guidelines, not strict requirements. You don't need to meet every qualification to apply — if you believe your skills and experience make you a strong candidate, we want to hear from you. Apply directly or reach out to us at hiring@endgame.io. The qualifications listed in our job descriptions are meant as guidelines, not strict requirements. You don’t need to meet every qualification to apply—if you believe your skills and experience make you a strong candidate, we want to hear from you! Apply directly or reach out to us at hiring@endgame.io.
Why work at Endgame
- Culture: “Challenge with Care” – open idea exchange without ego; “Be an Owner” – accountability and ownership; “Add Value Quickly” – bias for action.
- Work Policy: Bay Area (Hybrid) – all open roles listed as hybrid.
- Team Size: Small (~21 people), so employees have outsized impact and cross‑functional exposure.
- Engineering‑led: Forward‑deployed engineers work directly with customers on production use cases; strong emphasis on real architecture, real compliance, and being paged when things break.
- Perks: Not explicitly listed, but culture highlights include continuous learning (“Stay Curious”) and a tight‑knit, low‑ego team backed by world‑class investors.