Lead Product Designer shaping AI - powered insurance workflows and data - dense underwriter experiences. Scaling Kalepa’s professional - grade AI platform through systems thinking and rapid prototyping.
About the role
- AI transformation leader shaping product and design operations for GitLab’s DevSecOps platform. Building agents, prioritizing AI initiatives, and driving organizational adoption.
Responsibilities
- Own the function's AI strategy in alignment with the Executive Sponsor and business priorities
- Identify high-impact opportunities where AI can transform workflows and define measurable success metrics
- Map end-to-end work flows and upstream/downstream handoffs across organizations
- Manage intake of AI requests, ideas, and pain points
- Prioritize AI initiatives against business outcomes and executive guidance
- Reimagine workflows and drive adoption and change management
- Coordinate with Enterprise AI on tools, patterns, and learnings
- Build and bridge a Champion network across sub-teams
- Build AI agents using no-code and low-code platforms such as Glean and Workato
- Author and iterate on skills files defining agent behavior
- Configure MCP servers and tools securely with the AI Engineer
- Own the function's agent fleet, tracking KPIs, evaluating changes, and iterating on performance
- Partner with an AI Engineer on technical delivery, architecture, and production-grade scaling
Requirements
- Deep knowledge of your function's operations
- Strategic prioritization skills and ability to make hard calls about competing demands
- Product management mindset, including intake, backlog, iteration, adoption, and success metrics
- Strong communication and influence skills
- Cross-functional understanding of organizational processes
- Experience building peer networks or communities of practice
- Comfortable building AI agents, configuring skills, connecting MCP servers, and troubleshooting issues
- Experience with or willingness to quickly learn no-code/low-code AI platforms, prompt engineering, and agent configuration
- Strong conceptual understanding of AI capabilities, including summarization, classification, generation, automation, and agentic workflows
- Ability to map structured and unstructured data flows
- Commitment to staying current with rapidly changing AI developments
Benefits
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
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