Engineering Manager

Weare5vtech; Bristol; Hybrid; GBP 240,000 - 300,000; Full time

Job summary

A technology recruitment agency is looking for an Engineering Manager to lead an Edge AI team. This role involves overseeing a group of embedded AI engineers, managing hiring strategies, and driving the technical roadmap. Candidates should have extensive experience in engineering, particularly with embedded systems, and strong leadership skills. This position offers a hybrid work model with competitive compensation including base salary, bonus, and equity.

Qualifications

• 7+ years in engineering, specifically in embedded systems, AI deployment, or edge computing.
• 2+ years in team leadership/management with proven hiring and mentoring success.
• Strong technical foundation in C++ / Python / embedded ML frameworks.

Responsibilities

• Lead and grow a team of world-class embedded AI engineers.
• Own hiring strategy, ensuring the team scales with top-tier talent.
• Drive the technical roadmap, collaborating with product and hardware leadership.

Job description

Engineering Manager - Edge AI

Location:Austin, TX (Hybrid - 2/3 days onsite)

Compensation:$240,000 - $300,000 base + bonus + equity

Imagine leading a team where your work enables AI to run anywhere - from a smartwatch on your wrist to a tiny sensor powering the next wave of IoT innovation.

That’s exactly what my Austin client is building, and they’re now looking for an Engineering Manager to scale their Edge AI team.

This isn’t just another management role. You’ll be at the heart of a company pioneering low-power,on-device intelligence - solving problems the cloud simply can’t touch.

What You’ll Do

• Lead and grow a team of world-classembedded AI engineers.
• Ownhiring strategy, ensuring the team scales with top-tier talent.
• Drive thetechnical roadmap, working closely with product and hardware leadership.
• Balance hands-on technical involvement withmentorship and people leadership.
• Ensure your team deliversproduction-ready Edge AI solutionsoptimised for latency, memory, and power.

What We’re Looking For

• 7+ years in engineering (embedded systems, AI deployment, or edge computing).
• 2+ years inteam leadership/managementwith proven hiring and mentoring success.
• Strong technical foundation (C++ / Python / embedded ML frameworks.
• Comfortable leading projects wherehardware, firmware, and AI meet.
• Bonus: experience withlow-power IoT, wearables, or anomaly detection.

Take the next step in your career and apply today!

5V Tech are acting as an Employment Agency for the purposes of this job vacancy. We offer a reward scheme if you can recommend someone for this position, up to $250 for you and an additional $250 to a charity of your choice, 5V Tech are recognised talent solutions experts within IoT and Deep Tech working across Europe, the UK, and North America.