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Role Overview
The Technical Product Manager (TPM) – AI is responsible for guiding the development and optimization of AI-powered products from concept to release. This role requires a strong technical foundation, a deep understanding of artificial intelligence and machine learning, and the ability to align product initiatives with both user needs and overarching business objectives.
Key Responsibilities
Product Strategy & Roadmapping
Define and maintain product vision, strategy, and roadmap for AI-driven solutions.
Collaborate with stakeholders (e.g., engineering, data science, business leads) to set clear, measurable goals.
Cross-Functional Collaboration
Work closely with engineering teams, data scientists, and research teams to define technical requirements.
Align technical capabilities with business objectives and user needs.
Liaise with marketing, sales, and support teams to ensure product readiness and effective go-to-market strategies.
Technical Leadership
Provide clear guidance on AI/ML architectures, frameworks, and best practices.
Balance technical feasibility with user-centric requirements to deliver innovative features.
Evaluate and select tools, platforms, or libraries that best support AI initiatives.
Requirement Gathering & Prioritization
Conduct market research and analyze user feedback to identify pain points and opportunities for AI solutions.
Prioritize product features and enhancements using data-driven insights (e.g., user feedback, A/B testing, usage analytics).
Project Management & Execution
Coordinate end-to-end product development cycles, from discovery and proof of concept to deployment and monitoring.
Manage timelines, sprints, and resources, ensuring products are delivered on schedule and within scope.
Implement beta tests and pilot programs to validate feature assumptions and performance.
Performance Monitoring & Continuous Improvement
Define and track key performance indicators (KPIs) for AI models (e.g., accuracy, precision, recall, AUC).
Analyze real-world performance data to refine existing models and guide improvements.
Drive continuous iteration on AI features to maintain competitive advantages.
Stakeholder Communication
Provide regular product updates to leadership, highlighting milestones, risks, and roadblocks.
Simplify complex AI/ML concepts for non-technical audiences, ensuring alignment on product vision.
Required Skills & Background
Technical Expertise
Solid foundation in computer science, data science, software engineering, or related fields.
Understanding of AI/ML concepts, algorithms, frameworks (e.g., TensorFlow, PyTorch), and best practices.
Product Management Experience
Familiarity with the product development lifecycle, including roadmap planning, agile methodologies, and backlog management.
Experience working in cross-functional teams and leading collaborative projects.
Business Acumen
Ability to balance user needs with business objectives, focusing on ROI and strategic impact.
Proven track record of using data-driven insights to guide decision-making.
Communication & Interpersonal Skills
Strong written and verbal communication, adept at translating highly technical information to various audiences.
Skillful at managing stakeholder expectations and building rapport across departments.
Problem-Solving & Critical Thinking
Sharp analytical mindset for diagnosing issues, identifying opportunities, and implementing solutions.
Comfortable making well-considered trade-offs in features, scope, and timeline.
Flexibility & Adaptability
Comfortable pivoting in fast-paced, rapidly evolving environments, especially in AI-related projects.
Eager to stay current with new AI technologies and industry trends.
Qualifications
7+ years of experience required
preferred 2 years in a senior role; preferred 2 years AI experience
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
Hands-on experience with ML model development, data pipelines, or AI-based solutions.
Familiarity with cloud services (e.g., AWS, GCP, Azure) for deploying and scaling AI solutions.
Notice: Priority Deadline and Review Start Date
Please note that applications for this position will be accepted until 4/20/25 - applications received after this date will be reviewed on an intermittent basis. While we encourage early submissions, all applications received by the priority deadline will receive equal consideration. Thank you for your interest, and we look forward to reviewing your application.
Why Join Us?
Work on cutting-edge AI technology that directly impacts educators and students.
Join a mission-driven team passionate about making education more efficient and equitable.
Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.
Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.
Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.
Every employee is offered generous stock options, vested over 4 years.
Plus a 401k match & monthly wellness stipend
Our Values:
Educators are Magic: Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.
Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.
Community: Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.
Innovation: The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.
Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.
Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.
Excellence: Educators and students deserve the best - and we strive for the highest quality in everything we do.
