About the Role

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.

What You’ll Do

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

Required Experience & Qualifications

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: