Gradial
Product Builder, Agent Governance
Seattle, WA
Sponsorship not specifiedDetected 7 days ago
LLMsProduct StrategyLeadershipCommunicationProblem Solving
About the role
- As autonomous systems become more capable, organizations need products that make AI behavior understandable, observable, and controllable without slowing teams down.
- You'll work across enterprise customers, engineering, leadership, product, and go-to-market teams to make AI systems more transparent, accountable, and operationally reliable.
- Make complex AI behavior understandable for business stakeholders through dashboards, reporting, and product experiences.
Responsibilities
- Build products that provide visibility, governance, and control for AI-powered agents and workflows.
- Design approval flows, audit trails, and operational guardrails that balance speed with responsible AI usage.
- Build workflows that enable human review and intervention at critical moments without introducing unnecessary friction.
- Develop capabilities that improve traceability, accountability, model evaluation, and operational confidence.
- Collaborate closely with engineering and AI teams to bring governance capabilities into production environments.
- Drive product strategy and execution across the full lifecycle from concept through launch and iteration.
- A front-row seat to building category-defining AI infrastructure
- Have an innate drive for being 1% better than the day before, building towards greatness.
- Thrive in fast-paced, hyper-growth environments where building better > maintaining status quo.
Requirements
- 5+ years of experience building and launching software products in product management, product leadership, product engineering, or similar builder-focused roles.
- Strong understanding of modern AI systems, large language models, agent architectures, and the operational challenges of deploying AI in production.
- Experience navigating ambiguity and making effective product decisions with incomplete information.
Nice to have
- Familiarity with evaluation frameworks, model monitoring, lineage tracking, auditability, or AI operational tooling.
- Final compensation will be determined based on factors such as experience, skills, and qualifications.
Compensation
- The base salary range for this position is $1 5 0,000 - $2 2 0,000.
- Final compensation will be determined based on factors such as experience, skills, and qualifications.
- In addition to base salary, this role will be eligible for performance-based bonuses and equity awards.
- Competitive salary and meaningful equity
Benefits
- Competitive salary and meaningful equity
- Comprehensive health, dental and vision coverage
Company info
- This role owns the product end-to-end, from identifying governance challenges to launching solutions that customers willingly adopt.
- Create observability experiences that help customers understand how AI systems behave and perform over time.
- You'll build the systems, workflows, and experiences that help customers confidently deploy AI at scale.
- Partner with customers to understand governance requirements and translate them into intuitive product experiences.
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This listing is sourced directly from Gradial's careers page and normalized into a canonical job model.