You will be Opticores first commercial hire and the person who gets us in front of the right buyers. Our photonic AI inference chips are being built for the data center, hyperscaler, AI cloud, and high-performance computing markets, and the most important thing you bring is the ability to pick up the phone and reach the person who actually makes compute infrastructure decisions at those organizations. This is a pipeline-first role. The immediate job is identifying target accounts, navigating to the right technical and business stakeholders, and securing early pilot engagements that prove out the technology in real customer environments. Over time, you will build and lead Opticores sales and business development organization.
Key Responsibilities
•Map the buying landscape across hyperscalers, AI-native cloud providers, national labs, DoD HPC programs, and Tier 1 data center operators, and identify the right point of contact at each
•Build and own Opticores early commercial pipeline: outreach, relationships, pilot structuring, and follow-through
•Lead customer conversations, translating Opticores photonic computing capabilities into concrete value for infrastructure and AI compute buyers
•Structure and negotiate early partnership, evaluation, and pilot agreements
•Feed customer requirements and market signals back to the engineering and product teams to inform the hardware roadmap
•Represent Opticore at industry events, conferences, and in the broader AI compute ecosystem
•Hire and build the sales and business development team as Opticore scales toward commercialization
Minimum Requirements
•Deep, active network across the data center, AI compute, HPC, or supercomputing ecosystem, with the ability to quickly identify and reach the right decision-maker at a target account
•Demonstrated track record of building commercial pipeline from scratch at an early-stage hardware, semiconductor, or AI infrastructure company
•Experience navigating long enterprise procurement and partnership cycles, including pilot and evaluation agreements
•Ability to hold a substantive technical conversation about AI inference infrastructure, compute architecture, or data center hardware, enough to be credible with infrastructure and chip architects
•Comfortable operating as a sole contributor before a team exists, then transitioning into building and leading that team
Even Better If You Have
•Prior experience selling to or partnering with hyperscalers (AWS, Azure, GCP, Meta) or AI-native cloud providers (CoreWeave, Lambda Labs, etc.)
•Relationships at national labs or DoD HPC programs (LLNL, Argonne, AFRL, etc.)
•Background in semiconductor, photonics, or AI hardware companies
•Experience as a first commercial hire at a deep tech or hardware startup
Were reviewing applications on a rolling basis and will reach out to shortlisted candidates.
Apply Now
Numbers & Facts
Location
Berkeley, CA
Skills
AWS Lambdaunmatched
Amazon Web Services (AWS)unmatched
Artificial Intelligence (AI)unmatched
Business Developmentunmatched
Cloud Computingunmatched
Computer Architectureunmatched
Concreteunmatched
Conferencesunmatched
Ecosystemsunmatched
Follow Throughunmatched
GCP (Good Clinical Practices)unmatched
Microsoft Windows Azureunmatched
Negotiation Skillsunmatched
Network Operations Centerunmatched
Partner Salesunmatched
Photonicsunmatched
Purchasing/Procurementunmatched
Salesunmatched
Sales Pipelineunmatched
Semiconductorsunmatched
Supercomputingunmatched
Team Lead/Managerunmatched
United States Department of Defense (DoD)unmatched
🎯
Be found by employers
5,500+ employers search our resume database daily. Add yours to get found by recruiters looking for candidates like you.
Level up your application
Professional resume templates
Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.