Senior Product Manager (AI-Enabled Product Focus)

Who We Are
At Apptegy, we are more than a SaaS company; we are partners dedicated to transforming how schools communicate and shape the future of education. Your work here will directly empower districts to share their stories, engage their communities, and celebrate student success.
We build innovative technology that makes the complex work of school leaders simple, intuitive, and effective. Thoughtfulness and high performance are core to our success, and they’re what allow us to serve thousands of districts across the U.S. and beyond.
As a Senior Product Manager on our fast-growing Product, Design, and Engineering team, you’ll have the tools, mentorship, and ownership to do the best work of your career and see the direct impact of your ideas in classrooms and communities nationwide.
The Role
You’ll lead the strategy, roadmap, and execution for a new Apptegy product initiative, one that integrates AI-powered functionality to help schools communicate, engage, and operate more effectively.
In this role, you’ll combine strong product vision with technical curiosity to bring intelligent, user-centered features to life. You’ll collaborate across Product, Design, and Engineering to connect strategy to outcomes, using data and customer feedback to guide priorities and measure success.
You’re not just a Product Manager; you’re a systems thinker who thrives on clarity, data, and results. You know how to translate complex insights into real-world impact, and you’re excited about leveraging AI thoughtfully as one of many tools to enhance the user experience.
You’ll also help mentor other Product Managers and raise the bar for product excellence across the team.
What You’ll Do

Product Vision & Strategy

• Define and drive the product vision for your focus area, ensuring alignment with overall company goals, user needs, and market opportunities.
• Develop and execute a strategic roadmap informed by qualitative insights and robust data analysis, delivering on long-term business objectives.
• Identify opportunities to integrate AI capabilities that improve the product’s usability, intelligence, and value while ensuring features serve clear user outcomes.
• Partner with leadership to set measurable objectives (OKRs) and track outcomes against key business metrics.

Execution & Delivery

• Lead the full product lifecycle from ideation to launch, ensuring new features are validated, well-built, and deliver measurable impact.
• Collaborate closely with engineering and design to translate business goals and user needs into data-informed product specs, user stories, and acceptance criteria.
• Define success metrics for features and experiments, and build dashboards or reports to monitor adoption, engagement, and performance over time.
• Ensure AI-powered features are transparent, ethical, and easy for users to understand and adopt.

Customer & Data Insights

• Conduct market and competitive analysis, leveraging data to identify positioning opportunities and inform strategy.
• Collaborate with Data and Research teams to turn signals into clear, actionable priorities.
• Proactively engage with users and analyze usage patterns, NPS, and behavioral trends to extract actionable insights.
• Use customer feedback and performance data to continuously refine and improve product functionality.

Leadership & Collaboration

• Serve as a mentor and coach to junior product managers, helping them grow their skills with a focus on using data-driven thinking in decision-making.
• Help develop and roll out best practices across the product team, especially around product discovery, measurement frameworks, and metrics interpretation.
• Foster collaboration between product, engineering, and go-to-market teams to ensure seamless execution and alignment.

Stakeholder Communication

• Clearly communicate product vision, strategy, and results, including data-backed rationale for decisions, to senior leadership and cross-functional teams.
• Present product updates and business cases with a focus on KPIs, return on investment, and user behavior data.
• Translate complex technical and analytical insights into concise, actionable recommendations and strategic proposals.

Who You Are

• 5+ years of experience as a Product Manager, ideally in B2B SaaS, with exposure to data-heavy or AI-enabled products.
• Proven ability to use data to drive prioritization and measure success (experience with Amplitude, Mixpanel, GA, or SQL is a plus).
• Strong understanding of how AI technologies can enhance product experiences.
• Comfortable leading technical discuss