Commercial Lead, Semiconductors & Infrastructure

About Sycamore

Sycamore is building the trusted agent operating system for the enterprise. The platform helps companies build, deploy, and orchestrate AI agents that take on real operational work, with the security and control large organizations need. Sycamore is a small, engineering-led team working directly with Fortune 500 enterprises, and has raised $65M from Coatue and Lightspeed, along with other investors and industry leaders.

The role

You will own Sycamore's commercial results in one industry: finding the right customers, understanding their operations well enough to be useful in a technical conversation, running deals from first meeting through production deployment, and building the account relationships that turn a first workflow into a platform commitment.

This is a technical commercial role at an engineering-led company: you will spend as much time with operators and engineers as with executives, and overselling a capability the team does not have costs far more than a slow quarter.

Early customers in a new category do not arrive through a mature pipeline, so the work is original: identifying which companies in your industry are ready, finding the executive who owns the problem and the operator who feels it, and constructing a first engagement narrow enough to succeed and consequential enough to matter.

Semiconductors and infrastructure at Sycamore

These organizations run some of the most technically demanding operational work in any industry: yield and failure analysis, test-data review, supplier qualification, engineering change management, field service and RMA handling, capacity and capital planning, and export-control and compliance review. The people doing this work are engineers, and they will evaluate an agent the way engineers evaluate anything.

The constraints are unusually strict. Process and design data is among the most sensitive IP these companies hold. Export controls limit where data and systems can live. Many environments are on-premises or air-gapped, and qualification cycles are long. Winning here requires genuine technical credibility and a deployment story that holds up under those conditions.

What you will do

• Own pipeline, forecast, and revenue for your industry, from first contact through production deployment, adoption, and expansion.
• Run technical discovery alongside the engineers, reducing a broad AI ambition to a specific workflow with real users, permissions, risks, and measurable outcomes.
• Navigate enterprise buying: security review, procurement, legal, data protection, and the internal approvals that decide whether a pilot becomes a contract.
• Stay accountable after signature for adoption, measured value, executive communication, and renewal or expansion.
• Build the references, repeatable deployment patterns, and segment knowledge that make the next deal in your industry faster than the last.

What we are looking for

• 8–15 years of experience in enterprise sales, technical account leadership, or a commercial role with direct revenue ownership. Exceptions will be made for exceptional people in either direction.
• Experience selling technical software into semiconductor, hardware, industrial, energy, or data-center infrastructure organizations, with credibility in front of engineers rather than only procurement.
• The technical credibility to hold a substantive conversation with engineers and security teams without needing an engineer in the room for every exchange.
• Evidence of early-stage commercial work: opening a segment, landing first customers for a product without an established category, or building a territory from very little.
• Strong discovery instincts — the ability to tell the difference between an interesting conversation and a real problem with a budget owner and a path to production.
• Honesty about product fit — a preference to lose a deal than win one the platform cannot support.
• Executive presence and high EQ, with the ability to earn trust with a COO, a head of operations, a CISO, and a staff engineer in the same week.
• AI-native: uses modern AI systems in your own work and can speak about agent capabilities and limitations from direct experience rather than from a deck.
• Comfort with startup ambiguity, broad ownership, and regular customer travel.

Interview process

• A 30-minute introductory conversation.
• Two 60-minute conversations: one on how you find and develop enterprise opportunities, and one on technical discovery for an agent deployment.
• A working session where you present a segment and account plan for a real part of your industry, using the research and judgment you would apply on the job.

Why join

• Own an industry at a company defining a new enterprise category.
• Sell a technical product to technical buyers, alongside engineers who deploy it with you.
• Work on deployments where the outcome is measurable operational change, not a shelf-ware license.
• Shape which problems Sycamore solves next through what you learn in the market.
• Join early enough to build the commercial playbook rather than inherit it.
• Receive competitive cash compensation and meaningful equity in the company you are helping build.