Location: New York, NY (Hybrid - 3 days in office) | Type: Full-Time | Reports to: Head of Revenue
About NomicNomic is the domain-specific AI platform accelerating the design and construction of the built world. We deploy AI agents that understand drawings, specs, codes, and project data-working inside the systems AEC teams already use, without moving data or replacing existing tools. Firms use Nomic to automate drawing review, code compliance, submittal review, and project research.
We work with top-four global engineering and construction firms and are growing quickly across North America, APAC, and the Middle East.
Nomic equips our revenue teams with the best AI tooling available, you will sell our product using state-of-the-art tools for research, outreach, and deal execution, alongside engineers and researchers who have built some of the most capable systems in the industry.
Position SummaryWe are hiring an Enterprise Account Executive to own a set of strategic accounts-global AEC firms with thousands of employees, complex data environments, and formal procurement and security review processes. You will join a growing enterprise team, own your accounts from initial engagement through close, and drive expansion across the organization.
This is a consultative, technically substantive motion: long horizons, multi-stakeholder buying committees spanning digital transformation, IT, security, and practice leadership, and significant expansion potential. Many of these firms have internal AI teams already building, so the conversation often covers both what they build themselves and what they deploy from us. Pipeline comes from executive-led outreach, industry events, customer referrals, and partner channels. You will run structured paid pilots that prove value against real project data, then convert those pilots into production deployments across offices, disciplines, and geographies.
Key ResponsibilitiesPipeline DevelopmentOwn a defined set of strategic accounts-build account plans, map organizational structure, and develop multi-threaded relationships across technical and executive stakeholders
Generate net-new pipeline through executive-led outreach, industry events, existing customer referrals, and partner channels
Develop and maintain account plans that identify expansion paths before the initial deal closes
Forecast accurately and maintain disciplined pipeline hygiene in HubSpot
Run full enterprise sales cycles: discovery, technical qualification, executive alignment, pilot scoping, security review, commercial negotiation, and close
Lead structured paid pilots in partnership with Forward Deployed Engineering-scoping the right agent workflows, defining success criteria, and managing to measurable outcomes
Navigate enterprise security and procurement: SOC 2 reviews, vendor risk assessments, DPAs, data residency requirements, and MSA negotiations
Build and defend business cases with CFO-grade economics-time savings, error reduction, and capacity gains quantified against real workflows
Convert initial deployments into enterprise-wide expansion across offices, disciplines, and geographies
Partner with Enterprise Success on adoption, renewal, and health across your accounts
Cultivate executive sponsors and internal champions who advocate for Nomic across the organization
Develop references, case studies, and customer advocacy that support the broader enterprise motion
6–10 years of enterprise B2B software sales experience with a record of closing six- and seven-figure deals
Demonstrated success navigating complex, multi-stakeholder buying committees with 6–12+ month sales cycles
Experience running technical evaluations or paid pilots as part of the sales process
Fluency with enterprise security and procurement processes-you’ve been through vendor risk assessments and know how to keep deals moving through them
Ability to establish credibility with technical buyers: engineers, CIOs, CTOs, and digital transformation leaders
Based in New York City; available three days per week in office, with willingness to travel regularly for customer meetings, executive engagements, and industry events
AEC industry experience-Procore, Autodesk, Bentley, Bluebeam, or comparable-or direct experience within an AEC firm
Experience selling AI, ML, or data platform products into technically sophisticated organizations
Track record of expanding accounts significantly beyond initial land
Competitive base salary with variable compensation tied to quota attainment, plus equity and the benefits below.
Equity participation
Medical, dental, and vision coverage
Unlimited PTO
Parental leave, with scheduling built around what works for your family
Daily snacks and bi-weekly team lunches
Hybrid work model - headquartered in New York City
Regular travel for customer meetings, industry events, and conferences
Nomic is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by applicable law.
Skills Required
- 6-10 years of enterprise B2B software sales experience
- Record of closing six- and seven-figure deals
- Experience navigating complex, multi-stakeholder buying committees and 6-12+ month sales cycles
- Experience running technical evaluations or paid pilots
- Fluency with enterprise security and procurement processes, including vendor risk assessments
- Ability to establish credibility with engineers, CIOs, CTOs, and digital transformation leaders
- Based in New York City and available three days per week in the office
- Willingness to travel regularly for customer meetings, executive engagements, and industry events
- AEC industry experience, such as Procore, Autodesk, Bentley, Bluebeam, or an AEC firm
- Experience selling AI, machine learning, or data platform products
- Track record of significantly expanding accounts beyond initial land
What We Do
Nomic AI develops domain-specific AI systems for the Architecture, Engineering, and Construction (AEC) industry, transforming unstructured data into organized, AI-ready knowledge.









