Instructure

AI Product Manager

Posted 30+ days ago

Job summary

  • Job post source

    This job is directly from Instructure

  • Job overview

    The AI Product Manager at Instructure leads the development of the Education AI Agent, impacting educators by delivering reliable and effective AI-powered support within the LMS ecosystem.

  • Responsibilities and impact

    The role involves owning the vision and delivery of the AI agent, defining success metrics, monitoring performance, collaborating cross-functionally, supporting rollout efforts, ensuring ethical AI design, and piloting feedback loops to improve AI workflows.

  • Compensation and benefits

    The position offers a salary range of $150,000 to $170,000 with flexibility based on experience, equity participation, flexible schedules, remote-friendly culture, generous paid time off, wellness programs, learning stipends, and necessary technology tools.

  • Experience and skills

    Candidates need 2+ years of product management experience with LLM-based chatbots or AI agents, strong collaboration skills, a growth mindset, and ability to manage complex product spaces with measurable success criteria for AI features.

  • Career development

    The role provides opportunities to work on strategic AI initiatives, contribute to meaningful educational outcomes, and access annual learning and development stipends for growth.

  • Work environment and culture

    Instructure promotes a culture of inclusivity, support, meaningful connection, flexible work arrangements, and values diversity to foster innovation and a strong business environment.

  • Company information

    Instructure focuses on creating intuitive educational products that simplify learning and personal development, aiming to empower people throughout their lives.

  • Job location and travel

    The company offers flexible schedules and a remote-friendly culture with hybrid or onsite work depending on business needs.

  • Unique job features

    This role is distinguished by its focus on AI in education, ethical and scalable AI design, and direct impact on millions of educators and learners through a strategic AI initiative.

Company overview

Instructure, Inc. is an educational technology company known for its flagship product, Canvas, a learning management system (LMS) used by educational institutions to facilitate online learning and classroom management. Founded in 2008, Instructure generates revenue through subscription-based services, offering scalable solutions for K-12 schools, higher education, and corporate training programs. The company has a history of innovation in the edtech space, including the acquisition of Portfolium and MasteryConnect to enhance its product offerings.

How to land this job

  • Position your resume to highlight your experience managing AI products, especially those involving LLM-based chatbots or AI agents, emphasizing your ability to define success metrics and improve AI quality as described in the job description.

  • Focus on showcasing your collaborative skills and experience working cross-functionally with engineers, designers, and product teams to deliver complex AI-driven solutions, as well as your ability to navigate ambiguity and structure fast-evolving projects.

  • Apply through multiple channels including Instructure's corporate careers page and LinkedIn to maximize your application visibility and ensure your resume reaches the right recruiters.

  • Connect with current Instructure employees in AI product management or related divisions on LinkedIn; start conversations by referencing Instructure’s Education AI Agent initiative or asking about their experience working on AI-driven educational tools to break the ice.

  • Optimize your resume for ATS by incorporating keywords such as 'LLM-based chatbots,' 'AI agent performance,' 'success metrics,' 'cross-functional collaboration,' 'ethical AI design,' and 'education technology' to ensure it passes automated screenings.

  • Use Jennie Johnson's Power Apply feature to automate tailored applications, find multiple application portals, and identify relevant LinkedIn contacts for networking, allowing you to focus your time on interview preparation and skill enhancement.

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