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Gigaton — Generous PTO Jobs

London climate-AI company (formerly Carbon Re) using deep reinforcement learning to autonomously control cement, steel and glass plants — cutting fuel use and gigatons of CO2.

5 day week30 days PTOLondon, United KingdomSmall (11-50)Hybrid Remote

About Gigaton

What is Gigaton?

Gigaton builds what it calls "Self-learning Control for energy-intensive industries": AI that runs heavy industrial plants, starting with cement. Its vision is "to build the Self Learning Control system for autonomous plants and industrial decarbonisation", and its mission "to reduce industrial carbon emissions by gigatonnes." The company's site notes that "energy intensive industries emit 8 billion tons of carbon every year", and that its system "stabilises then revolutionises industrial production lines" across cement, glass, steel and mining. A customer case study reports a "4% reduction in fuel cost index", a "33% reduction in C3S variability", "2% reduction in fuel-derived carbon emissions" and "8 weeks to go live with plant." Its postings describe "a team of scientists, engineers, builders, and operators who love hard problems, have high standards, and want to make change happen in the physical world."

Where will I work?

Gigaton's headquarters is the Metal Box Factory on Great Guildford Street, London. Six of its seven open roles are hybrid and one, a Founder's Associate, is on-site, all in London. The careers page puts hybrid working at "typically 2/3 days in office", with an equipment allowance for remote workers, and the Director of Deployment posting asks for "at least 2 days a week in the office, with about 25% travel to customer plants." The Sales Engineer posting adds "travel to plants and conferences, around one week per month."

What is the Gigaton team like?

The company lists four principles: "Go Gig or Go Home" (a high bar, "all in"), "Concrete Honesty", "Autonomous Ownership" and "Cement it with Kindness & Fun." The careers page is direct about the standard it expects: it calls itself the "world's best workplace" for people with "ridiculously high standards for your career and the culture you're part of." Interview processes are published in the postings, including a task-based technical stage and a meeting with the CEO, and candidates are invited to "reference-check us by chatting to team members you haven't yet met." Teams named on the About page are machine learning, solutions, platform, commercial and operations.

Work-Life Balance

The careers page lists "30 days per year, plus bank holidays", which is 38 days off a year for a UK employee counting the eight bank holidays. Hours are "a mix of core hours and autonomy over your schedule". Family leave is "17 weeks parental leave and 13 weeks co-parent leave, at full pay." Health support includes paid sick leave and "all-in-one confidential mental health support." The principles are demanding, so weigh the flexibility against a high-intensity culture.

Perks and Benefits

  • 30 days of holiday plus bank holidays
  • 17 weeks of parental leave and 13 weeks of co-parent leave, at full pay
  • Pension: 5% employer contribution
  • Share options, annual reviews and proactive pay rises
  • Personal learning budget of £500, a company library and training events
  • Up to 40% off gym membership, fresh fruit and snacks
  • Cycle-to-work and electric-car schemes via salary sacrifice
  • Equipment allowance for remote workers

Open Positions

6 jobs