Product Builder, Agent Governance

Job description

Gradial is the marketing operations system of work that helps marketers and creatives move from idea to execution faster. Our platform orchestrates across martech stacks, workflows, and people to automate marketing execution, cutting execution time, so marketers focus on the work only humans can do: shaping brands, understanding customers, and creating the work that moves people. Backed by leading investors, we’re building software that adapts to the user, not the other way around. We move with urgency, operate with ownership, and solve hard problems from first principles. If you want to do ambitious work, take real responsibility, and help define the future of AI-native content operations, you’ll do your best work here. ## **The Role** We’re looking for a **Product Builder** to create the trust and governance layer for AI agents. As autonomous systems become more capable, organizations need products that make AI behavior understandable, observable, and controllable without slowing teams down. You’ll build the systems, workflows, and experiences that help customers confidently deploy AI at scale. This role owns the product end-to-end, from identifying governance challenges to launching solutions that customers willingly adopt. You’ll work across enterprise customers, engineering, leadership, product, and go-to-market teams to make AI systems more transparent, accountable, and operationally reliable. ## **What You’ll Own** - 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. - Create observability experiences that help customers understand how AI systems behave and perform over time. - Build workflows that enable human review and intervention at critical moments without introducing unnecessary friction. - Partner with customers to understand governance requirements and translate them into intuitive product experiences. - 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. - Make complex AI behavior understandable for business stakeholders through dashboards, reporting, and product experiences. - Drive product strategy and execution across the full lifecycle from concept through launch and iteration. **What We Need** - 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. - Demonstrated ability to own products from concept through launch and continuous improvement. - Experience navigating ambiguity and making effective product decisions with incomplete information. - Ability to prototype concepts independently using AI-powered development tools and modern product-building workflows. - Strong systems thinking with the ability to balance user experience, business requirements, and technical constraints. - Experience collaborating closely with engineering teams and translating complex technical concepts into customer-facing products. - Excellent communication skills with the ability to work effectively across technical and non-technical stakeholder groups. - Passion for building trusted AI systems and shaping how organizations safely adopt autonomous technology. - Excitement for defining a new category of AI-native software. ## **Nice to Have** - Experience building products related to governance, observability, compliance, security, risk management, or enterprise administration. - Familiarity with evaluation frameworks, model monitoring, lineage tracking, auditability, or AI operational tooling. - Experience working with enterprise customers deploying AI systems at scale. ## **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. ## **What we offer** - Performance-based annual bonus - Meaningful equity awards - Medical, dental & vision (fully covered for employees with 75% for dependents) - Fertility & family-planning support - 401k plan - Unlimited PTO - A beautiful Seattle office with a gym, sauna, and bike parking - Free lunch three days a week in our HQ - A front-row seat to building category-defining AI infrastructure ## **You'll thrive here if you** - Learn quickly, actively seek out new challenges, and regularly reconsider “how it’s always been done.” - Want to have real impact with zero bureaucracy. - Have an innate drive for being 1% better than the day before, building towards greatness. - Embrace AI as a core tool for problem-solving, innovation, and scale. - Show customer-obsession (internal or external), high ownership/accountability, and bias for action. - Communicate clearly, directly, with curiosity, and assuming good intentions. - Thrive in fast-paced, hyper-growth environments where building better > maintaining status quo. ## **AI Literacy & Interviewing Tools** As an AI-first company, we prioritize AI literacy as a core competency in our hiring decisions. We’re excited by candidates who thoughtfully apply AI tools in their work, but during interviews we’re focused onyou. This is your opportunity to show how you think, communicate, and solve problems. Over-reliance on AI-generated responses during the interview process (especially when it obscures your own voice) will result in disqualification. We want to understand your unique perspective and how you approach challenges, both with and without AI. Gradial is dedicated to creating an environment where diverse perspectives are valued and all team members can grow. We offer competitive compensation, equity, flexible work hours, comprehensive benefits, and a collaborative culture focused on learning and impact.