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Gigaton builds autonomous AI control and optimization systems for heavy industrial plants (cement, steel, glass) to cut carbon emissions and improve efficiency in real time. The company is scaling from 9 plants live to 50 by end of 2027.
You will lead the Solutions team as Director of Deployment, responsible for every deployment and serving as the senior escalation point for both the team and customers. This is a hands-on leadership role where you'll coach solutions engineers and team leads while stepping in directly when needed. You'll partner with Product, ML, and Engineering to continuously improve the core product based on deployment learnings.
Key outcomes you'll drive:
- Scale from 9 to 50 plants live by 31 December 2027
- Reduce deployment cycle from ~6 months to 8 weeks (contract to evaluation completion)
- Establish clear success metrics with customers upfront and achieve 100% first-time evaluation pass rate
- Build and grow a high-performing Solutions team, hiring for quality and retention
- Create trusted relationships with customer leaders at all levels, with clear escalation paths
- Design and implement post-sales operations (model upkeep, support, retraining, expansion contracts)
You'll travel approximately 25% of the time to customer plants worldwide, with at least 2 days per week in the London office. You report to Noah Miller, COO, and currently manage a Solutions team of engineers and two team leads, which you'll expand.
What makes a great fit:
- Hands-on experience deploying early-stage AI products into business customers, working alongside engineers to determine what creates value
- Track record of converting bespoke customer work into repeatable product, with measurable improvements in deployment speed and team efficiency
- Earned trust from customer leaders (site heads to executives) as an escalation point; credible because you've built and shipped
- Experience growing delivery teams, making hiring and performance management decisions, and designing team structure
- Coaching mindset combined with ability to step in hands-on when needed
- Ability to define success metrics with customers and prove results with data
- Early-warning instincts for deployment risks; good judgment on what requires action
- Willingness to travel extensively, especially in first months
You'll excel further if you have:
- Experience managing managers or developing engineers into team leads
- Forward-deployed or deployment strategist background with small teams embedded at customers
- Track record setting up post-sales or account management for B2B products
- Software deployment experience in physical operations (plants, factories, utilities, energy assets)
- Personal commitment to decarbonizing energy-intensive industries
The company offers equity (share options), flexible working, 30 days holiday plus bank holidays, and a generous pension scheme. Interview process: 30-min initial call, 60-min career conversation with COO, work sample day with real plant data, operating principles panel interview, final CEO interview, references. Target timeline: first call to offer in three weeks.
REQUIREMENTS:
- Deployed early AI product into business customers, hands-on alongside engineers
- Converted bespoke work into repeatable product with demonstrated metrics (faster deployments, fewer people, higher volume)
- Earned trust of customer leaders from site head to executive level; been escalation point
- Grown a delivery team with hiring and performance management experience
- Coaching ability combined with hands-on capability
- Ability to define and measure success with customers
- Early-warning instincts for deployment issues
- Willingness to travel ~25% of time to customer plants worldwide
- At least 2 days per week in London office
- Visa sponsorship available if required
