• Drive the roadmap for Perch's partner integrations and portals and the API surface that powers them. You'll sit close to partners, understand how their business runs, and build the primitives that let them embed Perch deeply into their workflows. • Own and identify client experiences that sit at the top of the funnel, including landing pages, high conversion tools and lending powered experiences and the in-product touchpoints that shape first impressions. You’ll optimize the acquisition journey, not just the first click. • Own Perch's client lifecycle messaging and CRM infrastructure. On the product side, you'll design and improve the transactional messaging pipeline, building segmented automation flows across audiences and journey stages, integrating them with product events, and iterating based on performance. On the business side, you'll equip sales and partnerships with the CRM tooling, event workflows, and outreach infrastructure they need to open new relationships and deepen existing ones. • Run disciplined experiments in acquisition, conversion, and distribution. Clear hypotheses, defined success metrics, kill criteria. Scale what works, cut what doesn't. This includes emerging surfaces like AI-driven discovery and agentic search, where getting Perch in front of the next generation of homebuyers is an open problem we're solving.

• Discovery: Work with a multidisciplinary team to discover and validate business opportunities, considering user and market needs, and mitigating risks in product development. Seek to understand pain points and problems to be solved in a clear and technical manner; • Delivery: Act as a catalyst for the team's value delivery, prioritizing the backlog and managing deliveries with the technology team; monitor releases to evolve the product; • Data: Use data for decision-making and track metrics to measure delivered outcomes, always focused on results; • Business: Monitor the market and apply product changes in a targeted way. Pursue new business models and partnerships with a strong customer focus; • Experimentation: Be interested in and open to validation practices such as MVPs and tests, fostering a culture of testing hypotheses before scaling solutions; • Communication: Communicate clearly and objectively with different team profiles, simplifying complex scenarios when necessary; • Stakeholder Management: Work with areas such as Sales, Marketing, Support, and Customer Success, providing visibility and opportunities for co-creation.

• Define and drive the AI product roadmap, ensuring alignment with business objectives and user needs. • Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features. • Conduct market research and analyze user feedback to identify opportunities for AI integration. • Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact. • Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights. • Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive. • Ensure ethical AI usage and compliance with data privacy regulations.

• With the support of the Director of Teaching and Learning, develop the strategy for Code.org’s 6-12 curriculum products. Define compelling, right-sized curriculum products to achieve that strategy and work towards organizational goals. • Manage the team of Code.org 6-12 curriculum content developers, mentoring them and supporting their growth. Create an inclusive, welcoming, and productive team culture and work environment. • Lead the team of curriculum content developers in building and launching products. Manage projects, creating roadmaps and milestones and allocating resources. Standardize workflows, development processes, and pedagogical approaches. • Set goals and metrics, develop evaluation plans, collect, analyze, and act on data from a variety of sources (pilots, surveys, focus groups, observations). Quantitatively and qualitatively monitor product adoption, usage, retention, and satisfaction and use this data to inform product strategy, features, and improvement. • Review and provide feedback on curriculum products in development and manage an external review process using subject matter experts and teacher reviewers. • Develop effective partnerships and working relationships within and outside of the organization. Collaborate with colleagues in software product management, design, engineering, marketing, data, and others. Communicate effectively with stakeholders, to leadership, and with development teams. • Maintain a deep understanding of what 6-12 students need to be engaged with and learn from CS and AI curriculum. Understand what districts, schools, and partners need from 6-12 curriculum to implement and promote it. • Actively represent Code.org values. Contribute to the Product and Engineering team and Code.org practices, rituals, and culture.