10 часов назад
Principal Product Manager for Agentic Systems (AI)
220 000 - 240 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Product Manager for Agentic Systems (AI): Defining and scaling agentic decision systems that transform cloud financial and operational signals into trusted recommendations and automated actions with an accent on safety, explainability, human approval, and auditability. Focus on designing signal ingestion, decision logic, guardrails, rollback strategies, and human-in-the-loop workflows for complex B2B SaaS products.
Location: Hybrid in San Francisco or Boston, Massachusetts, United States
Salary: $220,000–$240,000 per year, plus equity and bonus
Company
is an AI ROI company providing a financial control plane that connects AI and cloud spending to business outcomes in real time.
What you will do
- Own the vision, strategy, and multi-quarter roadmap for agentic and automated decision systems.
- Translate financial and operational signals into recommendations and automated actions.
- Define when systems observe, recommend, require human approval, or act autonomously.
- Lead end-to-end product development for signal ingestion, normalization, prioritization, decision logic, explanations, confidence signals, and guardrails.
- Partner with engineering and design on architectural trade-offs, system behavior, usability, scalability, and trust.
- Validate automation with enterprise customers and support pre-sales, post-sales, and internal enablement.
Requirements
- 5–8+ years of experience as a Product Manager building technically complex B2B SaaS products.
- Strong product craft, including detailed PRDs, specifications, decision documents, and testable solution definitions.
- Experience with automation, orchestration, decision systems, infrastructure or DevOps tooling, observability, operational analytics, or security workflows.
- Experience designing workflows where trust, correctness, false positives, failure modes, and rollback matter.
- Ability to work closely with engineering on system behavior, edge cases, architecture, latency, and scalability.
- Ability to own a complex product area end-to-end and influence cross-functional teams without authority.
Nice to have
- Experience with FinOps, cloud cost management, or cloud infrastructure platforms.
- Familiarity with AWS, GCP, or Azure billing and usage data, data pipelines, orchestration frameworks, IaC, or CI/CD.
- Background in data engineering, DevOps, SRE, or systems engineering.
- Experience with telemetry, logs, metrics, enterprise customers, or regulated environments.
- Exposure to AI/ML-enabled products requiring explainability and control.
Culture & Benefits
- Collaborative, fast-moving environment with high ownership and direct product impact.
- Opportunity to work on complex cloud, AI, financial, and operational systems.
- Equity and bonus included in the compensation package.
- is scaling rapidly and serves major cloud spenders, including Coinbase, Duolingo, DoorDash, and Shutterstock.
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