• Manage initiatives to improve data product offering work with engineering or use AI tools to define problems, shape solutions, and ship • Investigate data quality issues independently and own the full feedback loop, from root cause to resolution to clear communication with Customer Success and customers (joining customer calls, providing written resolution notes, etc) • Design QA procedures to proactively identify and prevent data integrity issues • Build repeatable, automated checks to reduce reliance on manual investigation

• 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