Senior Product Manager I, Academy (AI) at HubSpot

, , United States -

Full Time

Start Date

Immediate

Expiry Date

28 May, 26

Salary

253000.0

Posted On

27 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Assistants, AI Agents, Prototyping, Customer-Facing Products, Customer Empathy, Multidisciplinary Thinking, Product Vision, Cross-functional Partnership, Experimentation, Data Analysis, ML Recommendations, Predictive Search, Conversational UI, Gamification, Product Roadmapping, Stakeholder Management

Industry

Software Development

Description

POS-19085 Role Summary Our mission at HubSpot is to help millions of organizations grow better. HubSpot Academy is a globally renowned education platform attracting hundreds of thousands of professionals who want to grow their careers and make an impact at their organizations. As a Senior Product Manager I on the Academy Growth Product team, you’ll help evolve HubSpot Academy into an AI-powered educational assistant deeply integrated into the HubSpot platform. You’ll define how HubSpot users discover, engage with, and are matched to relevant training through personalized learning experiences powered by ML recommendations, predictive search, gamification, and conversational UI built on HubSpot’s Breeze AI platform. This role sits at the intersection of AI, education, and growth — shaping how millions of users learn and unlock more value from HubSpot. What You’ll Do Create a shared vision and cohesive roadmap for AI-powered Academy discovery and personalization as a core member of the Product Triad (Product, Engineering, UX). Define and deliver intelligent matching systems that guide users to the right content at the right time using ML, predictive search, and conversational AI. Explore ambiguous problem spaces across AI-driven recommendations, gamification, and conversational UI to improve user engagement and learning outcomes. Guide new product initiatives from early discovery through launch, experimentation, and iteration. Engage directly with internal and external users to deeply understand workflows, pain points, and success metrics. Use quantitative data and qualitative research to test assumptions, validate opportunities, and continuously improve user experience. Partner cross-functionally with Design, Engineering, Learning Science, Analytics, and GTM teams to drive alignment and measurable outcomes. Contribute to a high-performing, psychologically safe team culture grounded in autonomy, ownership, and growth. What You’ll Bring Required Qualifications Experience building AI assistants, AI agents, or agent-based skills. Experience prototyping product concepts using AI prototyping tools. Demonstrated experience launching customer-facing products successfully. Strong customer empathy and a drive to deeply understand and solve meaningful problems. Multidisciplinary thinking that combines market, business, and technical insights to evaluate tradeoffs. Ability to articulate product vision clearly to a variety of audiences, including technical and non-technical stakeholders. Experience working cross-functionally with Engineering, Design, UX Research, and Analytics partners. Excellent communication, influencing, and interpersonal problem-solving skills. Ability to make decisions, test assumptions, and iterate in fast-paced, ambiguous environments. Experience managing internal and external stakeholders. Understanding of the competitive software and online learning landscape. Understanding of two-sided marketplace dynamics. Bachelor’s degree or equivalent experience. Nice-to-Have Qualifications Experience working in edtech or with learning management systems. Experience building front-office business applications for SMB audiences. Understanding of and passion for learning science and/or neuroscience. Where You’ll Work Location: United States Work location preference eligibility: Remote Travel/Shift: Minimal travel expected Pay & Benefits The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons. This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy. Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range: $158,100—$253,000 USD We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us using this form. At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here. India Applicants: link to HubSpot India's equal opportunity policy here. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: HubSpot Careers Life at HubSpot on Instagram HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.

Responsibilities

The Senior Product Manager will create a shared vision and roadmap for AI-powered Academy discovery and personalization, defining and delivering intelligent matching systems using ML, predictive search, and conversational AI. This involves guiding new product initiatives from discovery through launch, experimentation, and iteration while deeply understanding user workflows and pain points.