Senior Product Manager - AI

A successful Senior Product Manager - AI at Storable should possess strong analytical skills, excellent communication abilities, and a comprehensive understanding of AI solutions in a B2B2C environment. The ideal candidate will blend user empathy and data-driven decision-making to lead product development effectively.

The work environment for the Senior Product Manager - AI at Storable is remote and highly collaborative. You will engage with cross-functional teams including product, design, and engineering, making it an exciting, dynamic setting where you can directly influence the development of innovative AI-driven solutions.

Absolutely! At Storable, we are committed to fostering your professional growth. As a Senior Product Manager - AI, you'll have access to learning resources and opportunities to lead impactful projects, which can propel your career forward in the AI product management field.

Key responsibilities of the Senior Product Manager - AI at Storable include defining product strategies focused on AI initiatives, understanding customer needs, developing business cases, leading product delivery, and managing the product backlog, all while ensuring cross-functional collaboration.

Candidates for the Senior Product Manager - AI role at Storable should have at least 7 years of product management experience, especially in an AI-focused context, strong analytical skills, and the ability to balance customer empathy with structured decision-making in an Agile environment.

The Senior Product Manager - AI will work on exciting projects that leverage AI to enhance user experiences and optimize software workflows. This includes analyzing data to drive product direction, improving client retention strategies, and developing AI solutions that add value to our clients.

Storable promotes work-life balance for the Senior Product Manager - AI by offering a flexible vacation policy, remote work options, and mental health resources. The company's culture encourages taking the time you need to recharge without the stress of accruals.

When developing a product strategy, focus on aligning the product’s direction with customer feedback, market trends, and data analysis. Establish clear goals and metrics that measure success, ensuring the strategy is adaptable to changing circumstances.

Highlight a specific AI project where you effectively identified a problem, formed a cross-functional team, and guided the initiative from ideation to delivery. Discuss measurable impacts and how you communicated successes to stakeholders.

Prioritizing features involves assessing customer impact, business value, and technical feasibility. Use frameworks like MoSCoW or RICE to evaluate features effectively while maintaining an open line of communication with stakeholders.

Utilize metrics such as user engagement, retention rates, conversion rates, and revenue generation to evaluate the success of AI initiatives. Be prepared to discuss how you track these metrics over time to inform future decisions.

Discuss your familiarity with Agile principles, mentioning specific practices like daily stand-ups, sprint planning, and retrospectives. Provide examples of how using Agile has resulted in improved team collaboration and product delivery timelines.

Good communication among cross-functional teams is achieved through regular updates, shared goals, and a collaborative culture. Tools such as Slack or Jira help maintain transparency and alignment across teams.

Customer feedback is essential in guiding product development. Actively seek feedback through surveys, interviews, and user testing. Use this data to iterate on features and adjust your product strategy to meet user needs.

Approach risk management by identifying potential issues early through thorough planning and stakeholder engagement. Assess the severity and likelihood of risks, and prepare contingency plans to address them proactively.

To handle conflicting priorities, facilitate discussions with all stakeholders to weigh the business impact and urgency of each request. Aim for a collaborative resolution and prioritize features based on their alignment with overall product strategy.

Discuss specific AI innovations that are transforming the industry, such as machine learning advancements or natural language processing. Explain how these innovations can create opportunities for enhancing product offerings and improving customer experience.