Head of Engineering — AI for Decarbonizing Industry

Gigaton; Greater London; On-site; GBP 140,000 - 170,000; Full time

Benefits offered by this job

Equity in the company

Flexible working

30 days holiday

Generous pension scheme

Job summary

Gigaton is seeking a Head of Engineering to build AI that controls the world’s most complex industrial plants in real time. You will lead a high-performing software engineering organisation, coaching engineers and team leads to improve practices while delivering customer value and enabling ML research teams to succeed.

You’ll partner with the Head of Machine Learning, Head of Product, and CTO to align priorities with realistic engineering plans and foster a culture of quality and autonomous

Qualifications

• Strong software engineering background with proven transition to engineering leadership.
• Experience leading through team leads or engineering managers and developing other leaders.
• Able to introduce enough structure to scale teams without excessive process.
• Remain technically proficient and enjoy hands-on architecture, debugging, reviews, pairing.
• Knowledge of modern practices including TDD, pair programming, and CD/CI.

Responsibilities

• Build a high-performing software engineering organisation delivering customer value.
• Coach engineers and team leads to improve practices and invest in technical initiatives.
• Partner with ML, Product, and CTO to translate priorities into engineering plans.
• Develop leaders at every level and establish clear management frameworks.

Skills

Engineering leadership

Team management

Software architecture

TDD

CI/CD

Pair programming

Education

Physical sciences background

Job description

Gigaton is seeking a Head of Engineering to build AI that controls the world’s most complex industrial plants in real time. You will lead a high-performing software engineering organisation, coaching engineers and team leads to improve practices while delivering customer value and enabling ML research teams to succeed.

You’ll partner with the Head of Machine Learning, Head of Product, and CTO to align priorities with realistic engineering plans and foster a culture of quality and autonomous