• Own one or more end‑to‑end workflows across the content supply chain. • Define workflow intent, outcomes, and value, not isolated features. • Ensure workflows are coherent across regions, brands, and operating models. • Define how Agentic AI agents orchestrate tasks across the workflow. • Reduce manual effort and handovers through AI. • Enable adaptive, learning systems in workflows. • Develop Core Product as a configurable platform and infrastructure layer. • Define how core capabilities support: - AI‑driven workflows - Modular configuration - Enterprise scalability • Define the implementation of end‑to‑end data flows across the workflow. • Identify and document integration requirements (internal and external). • Ensure workflows are explained clearly in commercial terms. • Collaborate with Sales and Solution Consultants to validate assumptions regarding workflows.

• Retention and expansion growth across active organizations • Average Processing Volume (APV) / ARR per Active Customer • Cross-product adoption strategy for Organization Experience capabilities • Retention and expansion roadmap (6–12 months / 2027 horizon) • Discovery pipeline (qualitative & quantitative) • Identification of churn signals and expansion opportunities • Concept development and validation before delivery • Cross-functional retention and monetization initiatives • Adoption blocker identification and resolution prioritization • Scale / iterate / kill decisions based on initiative outcomes • North Star metrics and metric tree for retention, adoption, and monetization outcomes

• Own the product strategy and roadmap across the full Pipeline Management group • Partner closely with Engineering leads to move from ambiguous problem to shipped solution • Drive alignment and build shared understanding across DWI and with cross-functional partners including Analytics Engineering, and internal business stakeholders • Navigate real cost and infrastructure constraints - Snowflake spend, vendor transitions, legacy system migrations - with a clear sense of tradeoffs • Champion the developer and data user experience, pushing for self-service capabilities that reduce friction and enable teams to move faster • Use data to identify opportunities, set measurable goals, and iterate based on what you learn • Shape a team culture that values reliability, transparency, and continuous improvement

• Define the Gift Cart strategy and translate it into a roadmap — with clear priorities and reasoning behind every decision. • Communicate with customers and CSMs regularly, and analyze data together with the analytics team — to find growth opportunities and make informed decisions. • Write specifications that engineers can build from — with detailed requirements and edge cases covered. • Take features from idea to launch, working closely with design and engineering at every step. • Track product health and growth: conversion, average gift size, error rates — and understand what's driving them. • Prepare CSMs and Sales for every launch so they're always in context ahead of time. • Keep stakeholders aligned — on priorities, timelines, and changes in plans.