Product Manager II, VR Analytics

As a Product Manager II at Axon, you will own VR telemetry and reporting feature areas, which includes planning, requirements gathering, and execution. You will improve metrics collection and synthesize stakeholder requirements into actionable plans that align with our product strategy. Your role will require making data-informed decisions, communicating effectively with cross-functional teams, and ensuring that the features you manage deliver real value to public safety agencies.

To qualify for the Product Manager II position at Axon, candidates should possess a Bachelor's degree or equivalent experience in relevant fields such as math, computer science, or data science. Candidates should have at least 3 years of software product experience, with a minimum of 2 years in product management, coupled with strong analytical skills and confidence in working autonomously in a dynamic environment.

In the role of Product Manager II at Axon, you'll work on projects that focus on enhancing VR training solutions for public safety. This includes the development of telemetry reporting features, analyzing data to improve training efficacy, and collaborating on innovative initiatives that aim to ensure better community engagement and safety for law enforcement agencies.

Axon's work culture emphasizes collaboration, innovation, and a commitment to social good. As a Product Manager II, expect to work within a vibrant team that values diverse perspectives and encourages professional growth. There’s a strong focus on work-life balance, with flexible working arrangements allowing you to work from home alongside opportunities to physically collaborate at our Seattle hub.

Yes, Axon is committed to employee development and offers various training and development resources for Product Managers. You'll have opportunities to grow your skillset through hands-on experience, mentorship, and participation in training programs focused on new technologies, industry best practices, and leadership development.

When prioritizing features, I assess stakeholder needs vs. business goals, using data-driven insights along with qualitative analysis. I find collaborating with cross-functional teams crucial to ensure that we’re aligning features with both user benefit and strategic direction.

I have a passion for VR technology, having worked on projects that integrate real-time analytics and user interactions within virtual environments. I keep abreast of industry trends and have collaborated on developing immersive training programs that leverage VR for enhancing learning experiences.

I approach conflicting requirements by facilitating discussions that clarify goals and priorities. It’s essential to align everyone on big-picture objectives and strive for compromises that fulfill critical needs while keeping the project on track.

Key metrics for success in VR analytics often include user engagement rates, completion rates of training modules, and feedback from both users and trainers. Additionally, analyzing the impact of VR training on real-world scenarios for law enforcement efficacy is crucial.

To ensure my product meets user expectations, I actively involve end-users through prototyping and feedback cycles. Continuous iteration based on user feedback helps to refine the product and ensures it addresses actual user needs effectively.

In my previous role, I led a cross-functional team to launch a new analytics feature that improved user insights. By establishing clear goals and fostering open communication, we achieved our timeline and enhanced user satisfaction significantly.

I use agile methodologies, focusing on incremental deliveries and constant stakeholder feedback. Regularly revisiting our product roadmap and adjusting based on user data ensures that the product evolves effectively and remains competitive.

I conduct thorough competitive analysis by examining competitor features, user reviews, and market positioning. This helps to identify gaps in the market where our product can excel, guiding feature development to meet unfulfilled user needs.

The most exciting aspect of working in VR for public safety is the potential to create real change. By developing immersive training solutions, we can help law enforcement agencies improve community relations and decision-making during critical situations.

Ensuring data integrity involves setting up rigorous data collection processes, conducting regular audits, and collaborating with data scientists to validate analytics methods. It's crucial to ensure that the insights we derive are both accurate and actionable.