Senior Technical Product Manager - AI

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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

1. 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.

2. 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.

3. 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.

4. 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).

5. 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.

6. 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.

7. 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.

Application Notice:

Applications will be accepted until 3/24/25. Early submissions are encouraged, and all applications received by the priority deadline will be given equal consideration. We look forward to reviewing your application.

Our Benefits: We are proud to offer generous benefits, such as unlimited PTO, employer covered health insurance, a wellness stipend, a 401(k) match, and vision/dental insurance.

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.