Brightsmith
Vice President of Engineering
Salary
$200k - $250k/YEAR
Job type
Full-time
Location
New York, New York, US
Remote
No
Posted
Yesterday
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Browse resume examplesJob description
We’re supporting a high-growth well-funded VC-backed industrial technology company building a full-stack IoT platform combining connected hardware, edge AI, and software intelligence.
With strong customer traction, and rapid expansion underway, the business is now hiring a Head of Engineering to scale the team and lead the next phase of growth.
The Opportunity
This is a hands-on leadership role focused on scaling, execution, and delivery.
You Will Have the Opportunity To
- Grow the engineering team from ~20 → 40–50 people
- Lead across hardware, embedded systems, AI/ML, and full-stack software
- Build structure and processes for a scaling organisation
- Deliver a roadmap combining edge AI + industrial hardware + SaaS products
What Makes This Different
- True full-stack industrial AI platform (hardware + software + data)
- AI models deployed on-device (edge), not just in the cloud
- Clear shift from hardware revenue → recurring software model
- Real-world impact across industrial and energy environments
What We’re Looking For
- Experience scaling engineering teams in high-growth environments
- Background in connected hardware / embedded systems
- Exposure to AI/ML systems (ideally edge or applied AI)
- Strong operator—able to bring structure, not just vision
Location
- Remote-first
- New York / Northeast US strongly preferred (but flexible for the right person)
Compensation
- $200K+ base and meaningful equity
- Designed to attract leaders motivated by ownership and long-term upside
Process
- Fast, structured process (~6 weeks)
Responsibilities
- Grow the engineering team from ~20 → 40–50 people
- Lead across hardware, embedded systems, AI/ML, and full-stack software
- Build structure and processes for a scaling organisation
- Deliver a roadmap combining edge AI + industrial hardware + SaaS products
- Designed to attract leaders motivated by ownership and long-term upside
- Fast, structured process (~6 weeks)
Qualifications
- Experience scaling engineering teams in high-growth environments
- Background in connected hardware / embedded systems
- Exposure to AI/ML systems (ideally edge or applied AI)
- Strong operator—able to bring structure, not just vision
Benefits
- Clear shift from hardware revenue → recurring software model
- Real-world impact across industrial and energy environments
- $200K+ base and meaningful equity
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