My client is an early-stage AI and automation company building an end-to-end industrial platform for heavy industries including manufacturing, energy, and logistics. They are looking for a hands-on VP of Engineering to serve as the technical leader of the company, effectively acting as CTO.
What You Will Do
- Owning end-to-end platform architecture from edge connectivity (sensors, cameras, PLCs) through cloud orchestration, data ingestion, and enterprise system integrations
- Leading technical strategy and key architecture decisions for a mission-critical industrial platform supporting real-time sensor fusion, anomaly detection, and operational planning
- Staying hands-on in the codebase regularly, implementing and refactoring core components, debugging production issues, and pairing with engineers across Python and TypeScript
- Guiding product direction alongside the founders, translating factory-floor realities into a clear technical roadmap from prototype through production
- Building, mentoring, and leading a small, high-performing engineering team in a flat, accountable organization
- Representing the company's technical vision externally through customer demos, investor presentations, and industry events
What You Bring (Must-Haves)
- 8+ years of experience in senior engineering leadership roles (VP of Engineering, CTO, Head of Engineering)
- Engineering leadership experience in heavy industry (manufacturing, defense, energy) or at a company providing products and services to heavy industry (e.g., industrial integrators, automation providers, OEMs)
- Experience building products from zero to one in a startup or early-stage environment, whether as a founder, co-founder, or early technical leader at a VC-backed company
- Currently close to the code with recent, demonstrable hands-on technical involvement, able to articulate specific architectural decisions and engineering trade-offs you have personally owned in the past 12-24 months
- Currently owning technical architecture decisions for complex, distributed systems and guiding product direction, not engineering decisions alone
Bonus Points
- Experience building high-fidelity data platforms, simulation environments, or digital twin systems
- Extensive experience with IoT, edge computing, and sensor-driven systems
- Background in autonomous systems, robotics, or computer vision applied to industrial environments
- Located in Texas (Austin or Dallas preferred), though this role is fully remote
Why Join
- Shape the technical foundation of an industrial AI platform from the ground up, with 3-4% equity and a direct path to significant compensation growth post-Series A (expected within 12 months)
- Work alongside an elite, deeply technical team with backgrounds spanning industrial robotics, autonomous driving, and applied AI research
- Full technical ownership with zero bureaucracy: you make the architecture decisions that define how this platform works at scale
- Solve real problems in the physical world, connecting industrial sensors and operational data to AI systems that improve maintenance, quality, and operations for major enterprises
Logistics
- Location: Remote, with preference for candidates in Texas
- Interview process: 2-3 rounds including culture fit, technical situational assessment, and possible follow-up
Originally posted on Himalayas
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