• In your first few months, your job is to develop a deep, ground-level understanding of how our funnels perform. • You'll conduct structured product walkthroughs to map user journeys and identify friction points. • You'll own user feedback monitoring: pulling signals from reviews, support tickets, and research and turning them into actionable insight. • You'll drive bug triage and resolution with engineering, making sure quality issues are prioritized and closed. • As you build context, you'll start leading end-to-end delivery of product initiatives starting with well-scoped launches like landing pages and compliance-driven features, then expanding from there. • You'll also contribute to A/B testing and experiment design, partner with Design and Engineering to ship experiences that balance speed, clarity, and trust, and help translate ambiguous customer problems into clear hypotheses and requirements.

• Shape the roadmap for AI-powered capabilities based on how real estate organizations actually work, translating real-world workflows into product requirements and measurable success criteria • Own features end to end, including post-launch performance: accuracy over time, edge cases, and the tradeoffs between automation and human review • Partner directly with customers managing billions in real estate assets to understand their needs and validate that AI-generated output meets their bar • Work closely with data science and engineering to translate real estate domain requirements into specs, models, and evaluation frameworks they can build and test against • Drive alignment across product, engineering, and go-to-market teams, often without direct authority • Use AI tools in your own workflow to move faster and produce better product work

• Own the CRM vision and roadmap end-to-end: Translate the company's CRM strategy into a sequenced plan with clear, measurable outcomes. • Advise and execute on a data model evolution strategy: Get deep into how supporters, households, donations, soft credits, and communications are modeled today, and drive the evolution toward a more robust, scalable model. • Sharpen segmentation and Lists: Enable nonprofits with powerful filtering and the path toward data-informed segmentation that nonprofits need. • Grow CRM as an acquisition engine: Ship top-of-funnel features that pull new organizations into the platform. • Make communications demonstrably drive giving: Own the insights and metrics that help nonprofits use email and direct stewardship to uplift their fundraising. • Run great product practice: Talk to nonprofits constantly, separate the real problem from the stated request, define success before you ship, measure it after, and iterate to success.

• Own and maintain a single, prioritized Product Backlog aligned to business objectives, customer needs, and value drivers • Translate business problems, opportunities, and desired outcomes into clearly defined features and user stories with acceptance criteria • Continuously refine and reprioritize backlog items based on value, risk, dependencies, and fixed Pod capacity • Make timely, transparent trade-off decisions to maximize business value delivery within the team’s capacity • Define and communicate clear business outcomes and success measures for backlog items and releases • Partner with the Pod to deliver work incrementally, enabling early validation of value and fast feedback • Validate delivered outcomes against expected benefits, operational improvements, or customer impact • Use insights from delivery metrics and stakeholder feedback to guide future prioritization and product direction • Serve as the primary business point of contact for product priorities, scope, and value decisions • Engage stakeholders through regular reviews, demonstrations, and feedback sessions • Balance competing stakeholder needs using value-based prioritization rather than scope commitments • Ensure expectations are aligned with Pod capacity and delivery realities • Work day-to-day with the Pod to clarify intent, priorities, and acceptance criteria • Participate actively in Agile ceremonies and planning events to support shared understanding • Enable the Pod to focus on delivery by providing clear priorities and fast decision-making • Foster a collaborative, outcome-focused working relationship built on trust and accountability • Ensure backlog priorities remain aligned with broader product, portfolio, or value-stream direction • Identify and actively manage dependencies with other Pods, teams, or initiatives • Proactively surface risks, constraints, and trade-offs to support informed decision-making • Adjust priorities as conditions change while maintaining delivery stability