UniversalAGI · 1 day ago
Founding Technical GTM/Sales Lead
San Francisco
Full-time
Onsite
Senior Level
5+ years expUniversalAGI is an AI startup based in San Francisco, building OpenAI for Physics. As the Founding Technical GTM/Sales Lead, you will establish the commercial engine for the company, focusing on the automotive and maritime industries while building relationships with key decision-makers and driving revenue growth.
Research
Responsibilities
Own the entire sales cycle from prospecting through close for automotive and maritime accounts, building pipeline and consistently hitting aggressive quarterly revenue targets
Source and qualify high-value prospects through strategic outbound campaigns, industry conferences, technical forums, and leveraging your existing network in automotive/maritime engineering communities
Deliver compelling technical presentations to diverse stakeholders, from hands-on CFD engineers to VP of Engineering to C-suite executives, tailoring your pitch to each audience's technical depth and business priorities
Build and maintain deep relationships with technical decision-makers (simulation engineers, computational engineering leads, R&D directors) who actually use the tools and can champion our solution internally
Partner directly with the CEO and technical team to translate complex AI capabilities into clear value propositions that resonate with automotive aerodynamicists and maritime hydrodynamicists
Navigate complex enterprise sales cycles involving multiple stakeholders, technical evaluations, proof-of-concept deployments, procurement processes, and contract negotiations
Develop market intelligence on competitive landscape, pricing dynamics, customer pain points, and emerging opportunities in automotive and maritime simulation markets
Represent UniversalAGI at industry conferences, technical symposiums, and customer sites, building our brand and expanding our network in target verticals
Design and optimize the sales playbook from scratch—prospecting sequences, demo flows, technical evaluation processes, pricing strategies, and closing tactics that future sales hires will replicate
Track, analyze, and forecast pipeline health, conversion rates, deal velocity, and revenue metrics with precision—you'll build the revenue operating system that scales with our growth
This is a role for someone who speaks engineer as fluently as they speak business, who can whiteboard computational fluid dynamics with a PhD then turn around and discuss ROI with a CFO, and who's ready to build a world-class GTM engine from the ground up
Qualification
Required
5+ years of technical sales or business development experience selling complex B2B software/SaaS to engineering organizations, with proven track record of consistently exceeding quota and closing $500K+ deals
Deep industry connections in automotive and/or maritime sectors, you have existing relationships with simulation engineers, R&D leads, and technical decision-makers at OEMs, Tier 1 suppliers, or maritime companies
Demonstrated success selling to technical buyers (engineers, engineering managers, technical directors) and navigating technical evaluation processes including POCs, benchmarks, and pilot programs
Technical background in mathematics, physics, mechanical engineering, aerospace engineering, computer science, or related quantitative field, you understand CFD, FEA, numerical methods, and computational physics enough to have credible technical conversations
Proven ability to source and develop your own pipeline through outbound prospecting, industry networking, conference engagement, and creative business development strategies
Experience delivering technical presentations to audiences ranging from individual contributors to C-suite executives, with ability to adjust technical depth and business messaging accordingly
Strong consultative selling skills, you lead with curiosity, uncover real pain points, build champions, and navigate organizational politics to get deals across the line
Exceptional communication skills both written and verbal, capable of articulating complex technical concepts in clear, compelling business language
Comfortable working in high-intensity, fast-paced startup environments with evolving product offerings, ambitious growth targets, and the need to build processes on the fly
Track record of meeting aggressive sales targets in highly competitive markets, with examples of creative deal-making and relentless execution to close challenging opportunities
Preferred
Prior experience at early-stage startups (Seed to Series B) during rapid growth phases, ideally in deep tech, AI, or engineering software
Existing network within simulation software ecosystem, relationships at ANSYS, Siemens, Dassault Systèmes, Altair, or their customer bases
Direct experience selling simulation software, CAE tools, or HPC solutions to automotive or maritime engineering teams
Technical sales experience in AI/ML products or other cutting-edge technologies requiring customer education and category creation
Engineering degree (MS/PhD preferred) with hands-on experience using CFD or simulation tools in automotive/maritime applications
Experience establishing GTM strategy and sales processes from scratch at early-stage B2B companies
Strong presence in automotive/maritime technical communities, regular conference speaker, published technical papers, or recognized industry expert
Enterprise sales experience navigating Fortune 500 procurement, legal review, security assessments, and complex contract negotiations
Benefits
Competitive compensation with uncapped commission potential and equity
Competitive health, dental, vision benefits paid by the company
401(k) plan offering
Flexible vacation
Team Building & Fun Activities
Great scope, ownership and impact
AI tools stipend
Monthly commute stipend
Monthly wellness/fitness stipend
Daily office lunch & dinner covered by the company
Immigration support
Travel budget for customer visits, conferences, and industry events
Company
UniversalAGI
UniversalAGI is automating physical systems engineering across the entire product lifecycle with artificial intelligence.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase