About This Role
This role as a Product Strategist and Senior Product Manager serves as a vital link between client business objectives and innovative solutions to drive value. You will define and execute product strategy, collaborate with cross-functional teams, and ensure data products meet customer needs. This position offers the opportunity to work with cutting-edge technologies and innovative products in a collaborative and dynamic environment, with career growth and development opportunities.
Responsibilities
- Develop and articulate a clear product vision and go-to-market strategy for data products
- Conduct market research and competitive analysis to identify opportunities and threats in the data observability space
- Identify specific business problems where AI provides a clear competitive advantage over traditional logic, evaluating the strategy to optimize time-to-market and strategic differentiation
- Define the product roadmap and prioritize features based on business value and customer feedback
- Collaborate with internal and external stakeholders, including business units, clients, and vendors, to gather and prioritize requirements
- Serve as the primary point of contact for all product-related inquiries
- Foster strong relationships with key stakeholders to ensure alignment and support for product initiatives
- Educate and align stakeholders on the probabilistic nature of AI outcomes, managing expectations around model accuracy, "hallucinations," and the non-linear ROI of AI initiatives
- Translate user, market, and sales feedback into detailed user stories and design prototypes
- Work closely with business analysts, technical architects, and development teams to assess and select appropriate technologies
- Ensure timely and high-quality delivery of product features through collaboration with cross-functional teams
- Scan the competitive landscape and develop a feedback process into product management
- Create compelling product positioning, messaging, and collateral to support sales and marketing efforts
- Participate in sales enablement activities, including training and supporting sales teams
- Consult with clients on business and technology dimensions, translating between them as needed
- Guide clients through the organizational shifts required to adopt AI-driven workflows, focusing on "human-in-the-loop" processes and building user trust in automated insights
- Act as a champion for the customer, ensuring their needs and feedback are central to product decisions
- Develop and deliver training programs and support materials for clients and internal teams
- Oversee the product lifecycle from ideation to launch and post-launch activities
- Implement data governance practices to maintain data quality and integrity
