CloudZero is seeking a Senior/Staff Product Manager, Agentic Practice to own and evolve a core product area within our FinOps and cloud cost intelligence platform. This role is equally balanced between technical depth and customer focus, and is ideal for a PM who built credibility in another discipline - such as engineering, finance, DevOps, product marketing, sales engineering, or TAM - before moving into product management.
You are AI-native in how you work. You use coding agents (Cursor, Claude Code, or similar) as part of your everyday practice — translating your own requirements into working prototypes, accelerating discovery cycles, and proving out ideas before engineering invests. You continually refine your own patterns and tools for using AI to do PM work better.
You will operate in an enterprise, direct sales environment, working closely with engineering, experience design, sales, marketing, and customer teams. Success in this role requires strong product judgment, technical fluency, and an exceptional ability to gather and synthesize market intelligence from both customers and non-customer potential users.
This role is ideal for a PM who is uncomfortable shipping features without understanding whether and why customers will use them.
Product Strategy & Market Discovery
Own the product vision, strategy, and multi-quarter roadmap for a core CloudZero product area
Identify high-impact problems at the intersection of cloud infrastructure, cost, usage, and business value
Actively collect market intelligence from:
Existing enterprise customers
Prospects and churned accounts
Industry practitioners (FinOps, DevOps, Finance, Engineering)
Analysts, communities, events, and internal subject-matter experts
Translate market signals into clear product hypotheses, define what success or failure looks like, and actively revisit decisions based on real-world usage and feedback
Define and track success metrics (OKRs, KPIs) tied to customer value and revenue impact
Execution & Delivery
Lead full-stack product development from discovery through delivery and iteration
Write clear, actionable product requirements, user stories, and acceptance criteria
Build interactive prototypes from your own requirements using coding agents (Cursor, Claude Code, or similar) to validate intent and gather feedback before engineering commits
Partner closely with engineering to make sound technical and architectural tradeoffs
Collaborate deeply with our experience design team to deliver intuitive, scalable, and trustworthy UI experiences
Ship iteratively with a strong bias toward learning and post-launch iteration, including revisiting, refining, or deprecating features based on adoption and customer impact
Make informed tradeoffs and ship under time pressure, balancing short-term GTM needs with long-term product quality and platform health
Enterprise Customer & Go-to-Market Enablement
Actively support pre-sales activities, including enterprise demos, customer calls, roadmap discussions, and RFP responses
Partner with sales engineering and product marketing to shape positioning, messaging, and enablement materials
Engage directly with customers post-sale to validate solutions, gather feedback, and drive adoption
Serve as a subject-matter expert for strategic accounts and internal stakeholders
Cross-Functional Leadership
Act as the connective tissue between engineering, design, sales, marketing, post-sales and customer success teams
Clearly communicate priorities, decisions, and tradeoffs across technical and non-technical audiences
Influence without authority and align teams around shared outcomes
Mentor junior PMs or cross-functional partners when appropriate
3–4+ years of experience as a Product Manager on a B2B SaaS product
Proven expertise in another discipline prior to product management, such as:
Engineering
Product Marketing
Sales Engineering
Technical Account Management (TAM)
Finance, DevOps, or Cloud Operations
Experience managing products in data-intensive domains, including:
Analytics or business intelligence platforms
AI/ML-enabled products
Data, observability, or cloud infrastructure tooling
Experience with UI-heavy products, such as dashboards, IDEs, developer tools, or visualization-rich applications
Full-stack product management experience, supporting:
Pre-sales (enterprise demos, customer calls, roadmap conversations)
Post-sales (customer feedback, adoption, retention, and expansion)
Working fluency with AI coding agents (Cursor, Claude Code, GitHub Copilot, or similar) — able to translate your own requirements into a working feature prototype without engineering assistance
Excellent prioritization skills and the ability to communicate rationale, tradeoffs, and impact
Strong ability to translate complex technical and financial concepts into clear customer-facing experiences
Demonstrated ability to independently own a product area and ship meaningful outcomes
Experience in FinOps, Finance, DevOps, or cloud cost management
Familiarity with modern cloud data stacks (e.g., AWS/GCP/Azure billing data, data warehouses, ETL/ELT)
Experience working with platform or infrastructure teams
Comfort analyzing product usage data and telemetry; ability to write basic SQL queries and operate DevOps / SRE tooling is a plus
Experience working with enterprise or highly technical customers
Experience shaping pricing, packaging, or value metrics in a SaaS product
Background in SaaS, cloud, or developer-focused product environments
Experience working on a team that practices agentic / AI-native development end-to-end
Experience building reusable harnesses, skills, or agent patterns for product management work (PRD drafting, research synthesis, prototype scaffolding, etc.)
Balanced technical and customer orientation—equally effective with engineers, finance leaders, and enterprise customers
Strong bias toward outcomes and learning over output; uncomfortable shipping without a clear belief about user value
Strong market curiosity and rigor; actively sources insight beyond current customers
Intellectually curious and open to feedback with a growth mindset
Excellent written and verbal communication skills
High comfort operating in ambiguity and making informed tradeoffs
Strong product judgment, prioritization skills, and execution discipline
AI-native ways of working — treats coding agents as everyday collaborators and invests in personal tooling to accelerate PM craft
Ability to influence across teams and levels, including executive stakeholders
Strong collaborator with a “one team” mindset
CloudZero is the AI ROI Company. We built the financial control plane for AI: the system finance, IT, and engineering use to connect every AI dollar to the outcome it produced. Across every provider. In real time.
AI spend is the fastest-growing line on enterprise P&Ls and the least understood. Only 14% of CFOs can prove AI ROI today. CloudZero answers the question no one else can: what did it cost to produce this outcome, for this customer, on this model.
The largest cloud spenders on the planet already run on CloudZero, including Coinbase, Duolingo, DoorDash, and Shutterstock. We processed 14 trillion billing events in the last twelve months. We're the first listed partner on Anthropic's cost and usage API. We've raised over $119 million, including a $56 million Series C backed by leading venture capital firms.
Equal Opportunity Employer CloudZero is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status or disability status. All job offers are contingent upon the candidate passing background and reference checks.
Compensation Range: $170K - $220K
