
Nonprofit educational organization
Strategic Product Manager, GenAI
College Board – Global Strategy and Talent – GenAI Studio100% Remote; aligned to working core EST hours About the Team
College Board is taking a mission-first approach to generative AI, envisioning a future where humans drive responsible generative AI transformation within education. As technology evolves, we’re accelerating experimentation and building staff capacity with purpose and care. Our aim is simple: deliver outsized value through ethical, real-world applications that serve students, educators, and members.
The GenAI Studio is College Board’s internal innovation engine behind this work. Launched in 2024, the Studio exists to accelerate experimentation and unlock the transformative potential of GenAI in service of our mission.
Spanning our Strategy and Technology divisions, we are a cross-functional, entrepreneurial team unified by a shared belief that AI, when guided by ethics and rigor, can enhance learning outcomes and operational excellence. From workforce enablement to product R&D, the Studio operates at the forefront of the GenAI landscape: enabling a culture of experimentation, building cutting-edge tools, and embedding human-centered AI innovation and literacy throughout our ecosystem. Join us in turning bold ideas into real impact for millions of students.
About the Opportunity
As the Strategic Product Manager, GenAI, you define the right problems to solve and connect strategy to execution. In this pivotal role, you will act as the bridge between the Studio’s high-level strategy and its on-the-ground execution. You’ll own a portfolio of internal GenAI products and experiments from discovery through implementation, focused on two outcomes: (1) driving high-value, scalable use cases with measurable organizational impact, and (2) enabling scaled adoption and integration by working cross-functionally with Talent, Technology, and Strategy partners in service of our mission.
You will also own a critical portfolio of AI engagement strategy, ensuring use cases align to College Board’s horizontal “everyone benefits” approach. You translate user pain points and business outcomes into a clear plan, including where we build, buy, or partner (e.g., with model providers), and how we measure value. You will partner closely with the Technical Product Manager, who leads complex technical builds, while you focus on defining what should be built and why. Throughout this work, you ensure initiatives connect directly to meaningful "Moments that Matter" for our staff. You are a systems thinker who defines problems, validates solutions, and drives behavioral change, anchoring decisions in evidence drawn from both qualitative insight and quantitative metrics.
In this role, you will:
Drive high-value, future-proof GenAI experimentation (70%)
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Translate business problems into technically feasible GenAI solutions with clear hypotheses and success metrics.
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Manage end-to-end launches, moving from discovery to prototype to pilot to scale with responsible-by-design practices, including security, privacy, and accessibility.
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Ensure delivery against scope and milestones by identifying risks, removing blockers, coordinating vendors/licenses, and aligning cross-functional teams.
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Define hypotheses, success metrics, and evaluation methods for GenAI pilots; instrument experiments to measure productivity, quality, safety, and ROI.
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Scan emerging practices and technologies and translate them into pragmatic pilots that fit College Board contexts.
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Use qualitative and quantitative data to assess performance, inform tradeoffs, and guide next steps.
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Define the adoption path: who pilots, what training or literacy is needed, and how we scale.
Join strategic conversations and co-own internal GenAI engagement (30%)
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Participate in relevant strategic scoping for enterprise-wide workforce strategy and AI enablement
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Lead deep discovery and user research (interviews, surveys, workflow analysis) to identify high-friction points in the employee lifecycle (e.g., mid-year reviews, finance workflows, onboarding, etc.) where AI can deliver outsized value.
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Rigorously define user problems before solutions are engineered, distinguishing between needs that require technical builds (e.g., AI Agents) and those that require process changes or literacy interventions.
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Design and execute non-technical experiments (e.g., light prototypes, process pilots) to validate business value and user trust before committing technical resources.
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Act as the primary strategist for the "AI Champions" network, evolving it from a passive audience into an active engine for peer-to-peer training, feedback collection, and decentralized adoption.
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Define trust requirements for our tools by partnering with AI Governance to translate complex ethical considerations (e.g., hallucination risks) into clear, user-friendly features and guidelines that build user confidence.
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Document repeatable models so divisions can adopt solutions with confidence and consistency.
About You
To qualify for this role, you must have:
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5+ years of experience as a Product Manager or Product Owner, leading and owning digital product implementations in AI and/or automation-centered solutions, driving strategy, roadmaps, and a prioritized backlog from discovery through delivery.
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Proven ability to lead cross-functional teams, partnering with engineering/ML, design, and research; writing crisp requirements and negotiating technical/product tradeoffs.
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Proven strength in problem framing, user research, and evidence-based decision-making, with the ability to translate insights into clear product and strategy choices.
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Strong stakeholder engagement and change management abilities, including communicating scope, milestones, releases, and risks, and driving adoption and behavior change across teams.
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Experience leading enterprise-wide transformations and/or internal tool adoptions, with a clear understanding that shipping is only half the work and adopting is the other half.
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Ability to advocate on behalf of users, including experience pushing for new ways of working while maintaining trust-based relationships across divisions and senior leaders.
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Ability to evaluate emerging GenAI technologies with clear metrics that track quality, safety, latency, and cost, while translating findings into pragmatic pilots and actionable guidance for non-technical teams and L&D.
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User-centered practices, including running interviews, conducting usability tests, and translating insights into prioritized stories with clear acceptance criteria and measurable outcomes.
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Commitment to responsible AI by design**,**embedding privacy, security, accessibility, and compliance into all product decisions and documenting mitigations and guardrails.
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Operational excellence in practice, including establishing team mechanisms (rituals, templates, checklists) and coordinating vendors and tools to deliver outcomes on time and with quality.
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The ability to travel 4-5 times a year to College Board offices or on behalf of College Board business.
All roles at College Board require:
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A passion for expanding educational and career opportunities and mission-driven work
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Authorization to work in the United States for any employer
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Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and a comfort learning and applying new digital tools independently and proactively.
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Clear and concise communication skills, written and verbal
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A learner's mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input.
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A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking.
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A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success.
About Our Process
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Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days.
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While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks.
What We Offer
At College Board, we offer more than just a paycheck—we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We’re a self-sustaining nonprofit that believes in fair and competitive compensation, grounded in your qualifications, experience, impact, and the market.
A Thoughtful Approach to Compensation
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The hiring range for this role is $80,000 – $157,000.
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Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board.
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We aim to make our best offer upfront—rooted in fairness, transparency, and market data.
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We adjust salaries by location to ensure fairness, no matter where you live.
You’ll have open, transparent conversations about compensation, benefits, and what it’s like to work at College Board throughout your hiring process. Check out our careers page for more.
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关于College Board

College Board
BootstrappedCollege Board is a nonprofit organization that administers standardized tests including the SAT and Advanced Placement (AP) exams for college admissions and credit. The organization also provides educational services and resources to students, schools, and colleges.
1,001-5,000
员工数
New York
总部位置
评价
9条评价
3.2
9条评价
工作生活平衡
2.8
薪酬
3.5
企业文化
3.8
职业发展
2.5
管理层
2.3
65%
推荐率
优点
Good work-life balance and family orientation
Friendly and supportive coworkers
Good pay and benefits
缺点
Poor leadership and management decisions
Excessive overtime and work pressure
Archaic and bureaucratic processes
薪资范围
29个数据点
Junior/L3
M3
M4
M5
M6
Intern
Junior/L3 · Product Manager
0份报告
$133,665
年薪总额
基本工资
-
股票
-
奖金
-
$113,615
$153,715
面试评价
1条评价
难度
3.0
/ 5
时长
14-28周
体验
正面 100%
中性 0%
负面 0%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview Round
6
Internship Decision
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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