In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
Work closely with the experimentation team to understand vision, operational challenges, and the business priorities that will shape the product roadmap.
Define and own the experimentation product roadmap by translating business needs into clear requirements and technical specifications. Advance the generosity test and learn program by leading development of reinforcement learning capabilities and AI-enabled experiment workflows.
Partner with data science and engineering teams to define data requirements and ensure the right data infrastructure and methodologies are in place to enable rapid, contextual feedback loops and model development.
Define and enforce experimentation guardrails — frequency caps, exposure limits, statistical validity thresholds — that protect player experience and P&L while enabling fast iteration.
Write clear PRDs, run structured discovery, and ship incrementally — balancing platform investment against near-term marketing needs.
Align cross-functional stakeholders on priorities, feasibility, and resource allocation. Communicate progress, roadmap updates, and resource needs to leadership on a regular basis, flagging dependencies and constraints early to ensure successful delivery.
Work closely with Martech Product teams to ensure experimentation is a native, low-friction capability with a dedicated roadmap for business outcomes.
Represent generosity experimentation in platform-wide architecture and prioritization discussions (e.g., Campaign360, capability overlap decisions), ensuring the experimentation layer scales as new promo types and channels are added.
Outline opportunities to integrate existing experimentation capabilities and future evolution into the broader
MarTech and data platform stack, reducing friction and improving speed.Drive adoption and usage of current and developing experimentation capabilities across the organization, establishing a culture of data-driven testing and decision-making.