Head of Product

Verda•Palo Alto, CA

5h•$200,000 - $300,000•Hybrid

About The Position

The Head of Product owns product direction and priorities for Verda’s cloud platform, including its console, APIs, SDKs and CLI, identity and access, billing, and shared product capabilities. The role translates company strategy into measurable outcomes and team roadmaps, decides which opportunities to pursue, and works with engineering leaders to align priorities and sequencing while engineering retains ownership of technical direction. The Head of Product stays close to customers and the market, using customer conversations, usage data, support feedback, and competitive research to guide product decisions. The role evaluates target users, demand, differentiation, pricing, packaging, and opportunity economics; leads and grows the product team; and partners with Design, Data Analytics, Sales, Customer Support, Product Marketing, engineering, and senior leadership. The position also guides product work through delivery and launch, improves the end-to-end customer journey for people and agents, and uses adoption, retention, usage, and revenue to assess results. The successful candidate will use AI tools and agentic workflows to strengthen research, analysis, prototyping, and communication. The role is hybrid in San Francisco or remote, with relocation support available for Helsinki or London.

Requirements

Direct product experience on an inference or AI developer platform, GPU cloud, or AI training infrastructure.
Understanding of customers, competitors, buying decisions, and the economics of the AI infrastructure industry, along with a clear view of its direction.
Numerical, data-driven product management approach, including defining and tracking concrete success metrics and using them to make decisions.
Broad product and business judgment and genuine interest in engaging with users.
Ability to connect platform-wide strategy to individual customer problems.
Good product taste and a track record of difficult prioritisation decisions and measurable customer or commercial outcomes.
Experience building or leading a product team and driving change in an organisation still developing its approach to product management.
Strong execution skills, including turning ambiguous goals into scoped work, coordinating across teams, and following through on commitments.
Clear writing, good listening, and ability to influence technical colleagues and senior leadership.
Hands-on experience with AI tools and agentic workflows, including understanding what agents need to use a cloud platform successfully.

Nice To Haves

Background in engineering or technical founding.
Experience improving a self-service developer product from first use through paid adoption and expansion.

Responsibilities

Translate company strategy into a small number of measurable cloud outcomes and connect those outcomes to team roadmaps.
Maintain a continuous understanding of customers and the market through customer conversations, usage data, support feedback, and competitive research.
Prioritise product opportunities, revisit assumptions as evidence changes, and make the commercial case for building, buying, or integrating capabilities with engineering.
Evaluate target users, demand, differentiation, pricing and packaging, and the economics of product opportunities; work with commercial teams to support adoption and paid usage.
Build and lead the product team, shape product management at Verda, and help teams and leadership understand good product work.
Turn opportunities into clear problem statements, scope, and success criteria; work with engineering on release sequencing, dependencies, trade-offs, and risks.
Track results during and after launches and change course when outcomes fall short.
Improve the customer journey across discovering capabilities, deploying workloads, managing access, understanding failures, and controlling spend.
Partner with Product Marketing on launches and assess outcomes using adoption, retention, usage, and revenue.
Use AI tools and agents in research, analysis, prototyping, and communication, and share effective workflows with colleagues.