• Define and communicate the long-term vision for benefits products, translating business strategy into a clear roadmap with strong team buy-in • Lead market research, benchmarking and competitive analysis to identify differentiation opportunities and anticipate movements in the HRTech sector • Influence product decisions beyond your own scope, connecting squads and ensuring a coherent experience across the Flash ecosystem • Serve as a technical and senior reference in strategic discussions with leadership, Product and business areas • Lead deep discovery cycles, customer interviews, data analysis and research to uncover real pain points and high-impact opportunities • Define hypotheses, success metrics and prioritization criteria, balancing customer value, technical effort and business return • Use AI tools as a natural part of the workflow: synthesizing interviews, identifying patterns in usage data, structuring product documents and mapping trade-offs—boosting productivity without sacrificing analytical depth • Run squad rituals (plannings, reviews, dailies) with excellence, raising execution maturity and the team’s delivery velocity • Monitor product KPIs and OKRs, iterate rapidly and promote a data-driven culture of continuous learning • Maintain a holistic view of the Flash ecosystem, understanding how different products connect along the customer journey • Think horizontally, evaluating how product decisions impact the integrity and experience of the entire ecosystem • Develop and evolve PLG (product-led growth) mechanisms that drive organic adoption of the platform. Identify key moments in the HR journey to trigger upsell and cross-sell naturally, without relying on the sales team • Mentor junior and senior PMs, contributing to a high-performance Product team focused on autonomy, methodology and accelerated growth • Raise the organization’s product maturity by ensuring consistency and quality of deliveries • Ensure alignment, visibility and ongoing collaboration with Design, Engineering, Sales, Customer Success and leadership • Communicate decisions and trade-offs clearly to stakeholders at different levels, influencing without formal authority

• Define and evolve the customer identification strategy. • Lead the digital payments hub, focusing on growth and efficiency of digital channels. • Structure and evolve discount policies and multi-brand strategies. • Participate in strategic discussions with acquirers, payment processors and financial institutions. • Manage the backlog of multiple squads (3 squads), ensuring efficient prioritization in a high-demand environment. • Plan, coordinate and monitor schedules, budget and resource allocation. • Define and monitor KPIs and OKRs, ensuring performance and continuous value delivery. • Lead product evolution initiatives with a focus on efficiency and scalability. • Drive product expansion to new brands and contexts. • Manage organizational and product changes. • Act as a bridge between business areas, technology and external partners. • Ensure clear communication with technical teams and consultancies, actively participating in technical agendas.

• Partner with the Chief AI Officer to translate enterprise AI priorities into a clear execution model across products, platforms, and enabling functions. • Maintain visibility into the AI initiative portfolio, including status, dependencies, risks, investment needs, and expected outcomes. • Help ensure the portfolio is aligned to business priorities, product strategy, and technical capacity. • Design and run the operating cadence for the AI organization, including planning cycles, reviews, decision forums, and executive updates. • Drive clear follow-through on strategic initiatives by coordinating actions, owners, milestones, and escalation paths. • Establish consistent mechanisms for tracking progress, surfacing tradeoffs, and supporting decision-making. • Support investment planning for AI initiatives by helping define sequencing, expected impact, resource tradeoffs, and portfolio balance. • Partner with Finance, Product, and Engineering leaders to frame initiative value, cost, and execution readiness. • Help leaders make informed prioritization decisions grounded in business impact and execution constraints. • Coordinate across Product, Engineering, Security, Legal, Privacy, Compliance, and executive stakeholders to keep major initiatives aligned and moving. • Identify gaps in accountability, sequencing, or communication and drive resolution. • Ensure portfolio-level decisions are reflected in roadmap planning and operating commitments. • Define and maintain the core reporting structure for AI strategy execution, including initiative health, milestone progress, value realization, and operating risks. • Produce clear materials for executive stakeholders, board-level discussions, and cross-functional leadership reviews. • Improve the quality and consistency of portfolio reporting across AI-related workstreams. • Support the Chief AI Officer on special projects, strategic analyses, operating model decisions, and cross-functional initiatives. • Develop recommendations that connect business goals, product choices, technical realities, and execution risk. • Act as a force multiplier for leadership by driving clarity, structure, and action across ambiguous problem spaces.

• With the support of the Director of Teaching and Learning, develop the strategy for Code.org’s professional learning products. Define compelling, right-sized products to achieve that strategy and work towards organizational goals. • Manage the team of Code.org professional learning content developers, mentoring them and supporting their growth. Create an inclusive, welcoming, and productive team culture and work environment. • Lead the team of PL 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 PL 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 educators need in order to successfully implement CS and AI curricula. Understand teacher needs and realities, and the ways that reality is changing with the advent of AI. • Actively represent Code.org values. Contribute to the Product and Engineering team and Code.org practices, rituals, and culture.