This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Product Director, FinOps/ITFM based in the United States.
This is a high-impact, build-to-scale product leadership role focused on launching an AI-native FinOps and IT Financial Management offering.
You will own the product strategy, roadmap, positioning, packaging, and pricing for a new product pillar spanning cloud spend and AI cost and usage management.
The role combines product leadership with hands-on go-to-market execution, including design partner engagement and early customer acquisition.
You will operate as an individual contributor during the initial 0-to-1 phase, proving the product, business model, and market opportunity directly.
Your work will help establish a differentiated approach to technology cost optimization, using AI to identify waste and model business trade-offs.
As the product gains traction, the position is expected to evolve into broader go-to-market leadership and ultimately P&L ownership.
This opportunity is ideal for an entrepreneurial product leader who has repeatedly taken AI-native products from concept through commercialization and revenue growth.
Accountabilities
- Own the product strategy and roadmap for FinOps AI / ITFM+, covering cloud spend as well as AI cost and usage management, while establishing differentiated positioning in a competitive market.
- Define and communicate the product's value proposition, demonstrating how unified technology cost optimization can deliver measurable outcomes rather than simply adding AI capabilities to existing cost-reporting products.
- Make end-to-end packaging and pricing decisions, including evaluating whether AI capabilities should be offered as a standalone SKU or integrated into existing ITFM/TEM offerings.
- Develop pricing models based on customer outcomes and reasoning value, taking into account the economics of AI models and the broader value delivered to enterprise customers.
- Lead the 0-to-1 product phase as a hands-on builder by defining the MVP, engaging design partners, validating product-market fit, testing pricing, and incorporating market feedback.
- Personally drive early commercialization efforts, taking the product from its first revenue through meaningful ARR and establishing the foundation for scalable growth.
- Own ICP definition, competitive positioning, sales enablement, and other go-to-market activities rather than limiting the role to traditional product roadmap management.
- Translate early customer and market insights into product, packaging, pricing, and go-to-market decisions that support long-term growth.
- Build the business case and operating model for the future team and go-to-market organization as the product pillar reaches scale.
- As the business matures, transition toward broader GTM leadership for the FinOps AI pillar and eventual responsibility for its P&L.
Requirements
- 10+ years of product leadership experience, including substantial experience building or leading AI-native products where AI, agentic workflows, reasoning, automation, or machine-learning-driven decisioning represent the core value proposition.
- Demonstrated experience in the ITFM, TEM, FinOps, or closely adjacent market, ideally with firsthand understanding of enterprise technology cost-management platforms and how AI capabilities are packaged and monetized.
- Proven track record taking an AI-native product from MVP through design-partner validation and into commercial revenue, ideally reaching the $0–10M revenue range.
- Direct experience making pricing and monetization decisions for AI products, features, or agents where underlying model costs are only one component of the customer's overall value equation.
- Demonstrated ownership of go-to-market strategy, including ICP definition, pricing and packaging, sales enablement, competitive positioning, and commercialization.
- Ability to operate effectively as an individual contributor during a 0-to-1 phase, taking ownership of strategy and execution without relying on an established team or extensive infrastructure.
- Strong understanding of enterprise AI requirements, including auditability, governance, role-based access, explainability, security, and compliance, particularly in environments involving financial or sensitive technology data.
- Strong commercial judgment and the ability to connect product decisions directly to measurable business outcomes such as revenue, adoption, customer value, and growth.
- Entrepreneurial mindset, resilience, and comfort working through ambiguity while establishing a new product category and business model.
- Bachelor's degree in business, computer science, or a related field, or equivalent professional experience.
- Experience displacing incumbent solutions during periods of ownership, acquisition, or market disruption is highly desirable.
- Candidates whose experience is limited to traditional roadmap/backlog management, AI features without monetization ownership, or sales support without direct GTM decision-making may not be suited to this role.
Benefits
- Salary: $200,000–$240,000 OTE.
- Health coverage: Comprehensive medical, dental, and vision benefits.
- Retirement: 401(k) plan with employer matching.
- Paid time off: Support for taking time away from work and maintaining a healthy work-life balance.
- Work model: Remote-first position for US-based employees.
- Career growth: Opportunity to build a new AI/FinOps product pillar from 0-to-1 and grow into broader go-to-market and eventual P&L leadership.
- Work environment: High-autonomy role with significant influence over product strategy, commercialization, pricing, and business growth.
- Employment: Full-time, US-exempt position.
- Work requirements: Primarily computer-based work requiring prolonged periods of sitting and working at a desk.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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