Enterprise Account Executive
Listed on 2026-06-18
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IT/Tech
SaaS Sales, AI Engineer (Applied/Software), Technical Sales
Most “AI companies” are layering copilots on top of broken systems.
They rebuilt the system.
Backed by Mayfield, Khosla Ventures, and Lightspeed with $150M+ raised, Dev Rev is creating a new category—
an AI-native system of record that unifies product, support, engineering, and customer data into one place.
At the center of it is Computer—an AI teammate that doesn’t just surface insights… it takes action
.
This is where it gets interesting:
- Not another SaaS tool → a replacement layer across your stack
- Not dashboards → a live knowledge graph + system of record
- Not AI copilots →
AI that executes workflows - ~20 patents in the data architecture →
real moat, not marketing
Customers like are already seeing:
- 50–75% of support resolved by AI
- Immediate impact on customer experience
This isn’t a “run demos and follow a playbook” AE role.
You’re selling a new operating model to the enterprise.
- Own net-new enterprise logos
- Sell into CTOs, CIOs, Heads of Engineering, Product, Support
- Run complex, multi-threaded deals across technical + business stakeholders
- Partner deeply with world‑class SEs to shape how companies operate with AI
If you’ve sold into IT / engineering orgs and know how to navigate ambiguity, this is your lane.
Why This Role Hits Different- Category creation — you’re not competing, you’re reframing how companies operate
- Technical sale — real conversations with builders, not surface‑level pitches
- Massive upside — ~$300K OTE (flex for the right person) + a comp plan built to pay
- Proven leadership — led by operators who’ve built billion‑dollar companies
- Real traction — not “early and hopeful”… early and working
- Comfortable selling into technical stakeholders (CTO/CIO/VP Eng)
- Thrive in ambiguity and building motion from scratch
- Hunter mindset with the ability to land + expand
If you’re looking for another logo to sell, this isn’t it.
If you want to be early on something that could redefine how enterprises run on AI—let’s talk.
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