CloudZero Logo

CloudZero

Principal Product Manager, Agentic Systems

Reposted 14 Days Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
220K-240K Annually
Senior level
Hybrid
San Francisco, CA, USA
220K-240K Annually
Senior level
As a Principal Product Manager, you'll own strategy and execution for automated decision systems, collaborating across teams to define workflows, ensure safety, and validate customer trust in the product.
The summary above was generated by AI
About the Role

CloudZero is growing fast. Our customer base is expanding, the data challenges we're solving are getting more complex, and the platform is scaling to match. As a Principal Product Manager for Agentic Systems, you'll own some of the hardest product problems at CloudZero: translating noisy financial and operational signals into trusted, explainable, and safe recommendations or actions that engineers and finance teams can act on with confidence.

This is real systems product work at scale, not a stakeholder management role or a roadmap shuffling job. You'll work at the intersection of cloud infrastructure, data orchestration, automation, and human-in-the-loop decision-making, shaping how CloudZero evolves from insight delivery toward intelligent action. You'll define when a system should observe, recommend, require approval, or act autonomously, and you'll build the trust frameworks that make that spectrum safe and usable.

This role is ideal for a PM who thrives on deep systems thinking, prefers owning one complex problem end-to-end over managing teams, and measures career growth by problem difficulty and impact, not org size.


What You'll Do

Agentic Product Strategy & Problem Definition

  • Own the vision, strategy, and multi-quarter roadmap for CloudZero's agentic and automated decision systems

  • Identify high-impact opportunities to translate financial signals (spend anomalies, budgets, forecasts, unit economics) and operational signals (usage, performance, configuration) into clear recommendations or automated actions

  • Define when systems should observe, recommend, require human approval, or act autonomously

  • Explicitly model trust, safety, blast radius, rollback, and auditability in all designs

  • Partner with customers, prospects, and internal experts (FinOps, Engineering, Finance) to validate where automation creates value and where it creates risk

Systems Design & Execution

  • Lead end-to-end product development for complex, system-level workflows

  • Write clear, precise product requirements and specifications for signal ingestion and normalization, prioritization and decision logic, human-in-the-loop controls, and explanations, confidence signals, and guardrails

  • Partner deeply with engineering on architectural and technical tradeoffs, balancing correctness, latency, scalability, and user trust

  • Collaborate with experience design to ensure agentic behavior is understandable, predictable, and usable, not opaque or magical

  • Drive iterative delivery with explicit success criteria, learning plans, and rollback strategies

Customer Trust, Validation & Enablement

  • Engage directly with enterprise customers to validate where automation is welcomed, where explainability is required, and where human approval is non-negotiable

  • Support pre-sales and post-sales conversations around intelligent automation, including demos, roadmap discussions, and risk assessments

  • Partner with product marketing and sales engineering to clearly articulate what the system does, what it does not do, and why users should trust it

  • Act as the internal subject-matter expert on CloudZero's automation and agentic capabilities for both internal teams and strategic customers

Cross-Functional Leadership

  • Serve as the connective tissue between platform engineering, data engineering, design, security, and customer-facing teams

  • Communicate complex system behavior and tradeoffs clearly to both technical and non-technical audiences

  • Influence without authority; align teams around shared outcomes, not just shipped features

  • Mentor peers and cross-functional partners through technical product decision-making

What You Bring
  • 5–8+ years of experience as a Product Manager building B2B SaaS products in technically complex domains

  • Strong product craft, including writing detailed PRDs, specs, and decision documents, and translating ambiguous problems into well-scoped, testable solutions

  • Experience owning products involving automation, orchestration, or decision systems, such as infrastructure or DevOps tooling, data orchestration or pipeline management, observability and operational analytics, or security and remediation workflows

  • Comfort working closely with engineers on system behavior, edge cases, and failure modes

  • Experience designing workflows where trust, correctness, and false positives matter

  • Demonstrated ability to own a complex product area end-to-end and ship outcomes, not just capabilities

Bonus If You Have...
  • Experience with FinOps, cloud cost management, or cloud infrastructure platforms

  • Familiarity with AWS/GCP/Azure billing and usage data, data pipelines and orchestration frameworks, or IaC and CI/CD concepts

  • Background in data engineering, DevOps, SRE, or systems engineering prior to PM

  • Comfort analyzing telemetry, logs, or metrics and reasoning about system performance and tradeoffs

  • Experience working with enterprise customers in high-stakes or regulated environments

  • Exposure to AI/ML-enabled products, especially where explainability and control are required

About CloudZero
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.

Why Join Our Team?
At CloudZero, you’ll find a collaborative, fast-moving environment where your work makes a direct impact. We’re a team that values ownership, creativity, and curiosity — and we’re tackling some of the most complex challenges in the cloud space. If you’re excited by working with cutting-edge technology, driving meaningful outcomes, and growing with a company that’s scaling fast, we’d love to hear from you!

Similar Jobs

2 Hours Ago
In-Office
94K-156K Annually
Senior level
94K-156K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Conduct drug discovery research in cardiovascular biology, focusing on identifying and validating therapeutic targets and biomarkers related to atherosclerosis. Design and execute cellular, molecular, imaging, ex vivo, and animal studies; analyze data; collaborate with internal and academic scientists; communicate findings through publications and presentations; uphold scientific and regulatory standards; and mentor junior scientists.
Top Skills: Cellular AssaysEx Vivo ApproachesFoam-Cell AssaysGenetic DataHigh-Content ImagingIn Vitro Cardiovascular-Atherosclerotic SystemsIn Vivo Cardiovascular-Atherosclerotic SystemsMolecular BiologyMulti-OmicsRodent Models Of AtherosclerosisVascular-Cell Assays
2 Hours Ago
In-Office or Remote
United States
139K-232K Annually
Senior level
139K-232K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads regional activation of oncology patient advocacy partnerships and educational programs. Delivers or coordinates disease-state education, connects patients and caregivers with appropriate resources, manages sponsorships, budgets, events, and project plans, and reports insights and measurable outcomes. Collaborates across Pfizer teams, ensures compliance with CP208 and applicable regulations, strengthens advocacy relationships, and develops solutions supporting patient engagement and unmet patient needs. This field-based role requires substantial travel, occasional evening and weekend work, and operation of a company vehicle.
2 Hours Ago
Hybrid
99K-165K Annually
Senior level
99K-165K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Designs and develops innovative, end-to-end learning experiences across eLearning, instructor-led, virtual, on-the-job, multimedia, simulation, and performance-support formats. Partners with subject matter experts and business stakeholders, applies adult learning and user-centered design principles, uses AI and immersive technologies, manages multiple projects, and evaluates learning effectiveness through assessments, analytics, and learner feedback.
Top Skills: AdaptAdaptive LearningAdobe CaptivateArArticulate RiseArticulate StorylineArtificial IntelligenceCamtasiaGamificationGenerative AiLearning AnalyticsSimulation-Based LearningVrVyond

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account