Brightsmith

Brightsmith

Vice President of Engineering

New York, New York, USFull-time$200k - $250k/YEARYesterdayvia LinkedIn

Salary

$200k - $250k/YEAR

Job type

Full-time

Location

New York, New York, US

Remote

No

Posted

Yesterday

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Job 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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