FinOps Manager (AI & Token Economics Focus)

Job Role: Senior Product Manager - Customer Operations (One ERP)

Location: Bangalore

ABOUT UNILEVER

With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world. At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future.

ABOUT GDT:

GDT is the global digital and technology engine of Unilever offering business services, technology, and enterprise solutions. GDT serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit.

About Us:

Wild are on a mission to remove single-use plastic from the bathroom, armed with our refillable, natural and scent-sational deodorants, body wash, and lip balm – and we’re only just getting started. We launched in 2020 and as a high-growth company we’re already one of Europe’s fastest growing start-ups.

Role Summary:

Scaling autonomous agents introduces a new and fast-moving cost dynamic on top of Wild's growing cloud estate: token consumption and model selection sit alongside compute, storage, networking, and data-processing spend that can all escalate quickly if left ungoverned. The FinOps Manager (AI & Token Economics Focus) owns the financial discipline behind Wild's cloud and AI transformation — ensuring the GCP environment and every agent workload run cost-efficiently, transparently, and deliver measurable ROI at scale. This role blends cloud infrastructure financial management with deep AI-specific cost expertise. You will track and manage consumption across the full GCP services footprint — compute, storage, networking, data/BigQuery, and AI/Agent Builder — as well as Snowflake credits, building clear visibility into where spend goes by service, model, agent, team, and use case. You will own cloud budgets and guardrails, drive infrastructure optimisation (rightsizing, autoscaling, committed-use discounts), and partner with engineering to tune both infrastructure utilisation and token usage. You translate technical activity into business economics — cost per task, cost per outcome, and value realised. You are the team's commercial conscience and the owner of Wild's FinOps practice. As Wild moves from experimentation to a growing, always-on cloud and agent portfolio, you establish the processes, tooling, KPIs, and cost-accountability culture that keep investment decisions evidence-based, infrastructure and AI spend predictable, and the platform delivering a clear, defensible return.