• Own product strategy and roadmap for an assigned pillar • Manage the full product lifecycle from define to measure • Coordinate with peer PMs for cross-pillar features • Partner with PMM, sales, and CS for successful launch and adoption • Communicate effectively with executives and customers

• Lead product strategy and roadmap definition for custom models and self-hosted AI capabilities within GitLab. • Drive discovery, prioritization, and delivery for features that support model flexibility, self-managed deployments, and AI agent orchestration use cases. • Collaborate closely with engineering, design, and other product leaders to turn complex customer and technical needs into clear product direction. • Define product requirements that account for infrastructure, configuration, deployment, and hardware considerations in self-hosted environments. • Partner with internal stakeholders across GitLab AI initiatives to ensure this product area fits into the broader platform strategy. • Guide tradeoff decisions with a strong focus on customer value, technical feasibility, and long-term platform quality. • Support knowledge transfer and continuity as the team grows and evolves, helping new work move forward with context and clarity. • Communicate plans, decisions, and priorities in a transparent way that helps distributed teams execute asynchronously.

• Own the product roadmap for our core access platform • Build for many audiences at once: residents, property managers, and channel partners across a variety of segments. • Expand and deepen our partnership ecosystem, including property management software integrations, access control hardware, smart home platforms, and adjacent proptech surfaces where we can extend value • Identify where AI can improve access decisions, surface anomalies, and reduce operational load for property teams and build those capabilities in ways that earn trust • Conduct rigorous discovery by getting close to residents, on-site property staff, and channel partner teams, sharpening the problem definition while iterating with Design and Engineering on the solution • Establish the metrics that matter for a platform product and hold yourself accountable to them

• Run client engagements end-to-end across web, mobile, AI-native, and emerging product surfaces • Translate ambiguous briefs into structured delivery, working prototypes, and shipped product • Collaborate closely with design and engineering leads on the work itself while not being afraid to own the delivery system around it • Present work clearly to clients and internal teams, holding the line on scope, budget, and quality with honesty rather than ceremony • Use AI tools and agents as a core part of your workflow to triage, draft, prioritize, summarize, and accelerate our Client’s outcomes • Build, test and maintain skills, agents, and workflows like code — version them, improve them as the team's taste sharpens, and feed honest learnings back to R&D