Senior Product Manager

Precisely is a leader in data integrity, empowering businesses to make confident decisions through innovative software and services. They are seeking a Senior Product Manager with experience in Cloud-Native Location Intelligence products to lead the product lifecycle and collaborate with various teams to enhance location intelligence capabilities using AI tools.

Responsibilities:

• Leading the product lifecycle for Location Intelligence solutions, from ideation and development to launch and adoption, using AI tools to accelerate discovery, requirements synthesis, and prioritization decisions
• Designing and building SaaS-focused APIs for location intelligence capabilities that enable seamless integration into enterprise workflows, leveraging AI-assisted prototyping to validate concepts early with engineering and design teams
• Collaborating closely with engineering, UX, and data teams to develop user-centric features that enhance location intelligence capabilities, using AI to deepen your understanding of user experiences, system architecture, and technical trade-offs
• Engaging directly with enterprise customers to understand use cases, pain points, and opportunities, using AI to synthesize feedback at scale and surface patterns that ensure our solutions meet market needs
• Working with cloud partners (AWS, Google, Azure, Snowflake, Databricks) to optimize our offerings within modern data and analytics platforms and ensuring seamless integration with cloud-native ecosystems
• Driving product roadmap planning, backlog prioritization, and execution based on data-driven insights and customer feedback, drawing on AI-powered competitive analysis to strengthen pricing strategies and market positioning
• Champion and innovate across adjacent product management teams within Precisely’s Data Integrity Suite
• Supporting sales, marketing, and enablement teams by developing positioning, messaging, and go-to-market strategies informed by AI-powered competitive intelligence and market research
• Leveraging analytics and KPIs to measure product success and drive continuous improvement
• Applying AI tools actively across the product lifecycle — from building lightweight working prototypes to conducting rapid competitive research — to move faster, make better decisions, and stay more deeply connected to the building process

Requirements:

• Bachelor's degree in a relevant field (Computer Science, GIS, Data Science, or a related field) preferred. Equivalent work experience will be accepted in place of a degree
• 4+ years of experience in Product Management
• 5+ years in location intelligence, GIS, or related data platforms
• 3+ years in designing and building API capabilities in SaaS platforms
• 3+ years working with modern data & analytics platforms such as GCP, AWS and Azure or Cloud-Native Data Platforms such as Snowflake and Databricks
• Strong understanding of location intelligence data and analytics
• Experience with cloud-native SaaS products and microservices-based architectures (Docker, Kubernetes)
• Hands-on experience designing and building APIs for integrating location intelligence into enterprise applications
• Familiarity with RESTful API design principles, authentication (OAuth, API keys), and API documentation best practices
• Strong analytical and customer-centric problem-solving skills
• Experience working with and ideally building API designs
• Comfort using AI tools — including large language models, code generation assistants, and data analysis tools — as practical instruments for accelerating research, requirements gathering, prototyping, and competitive analysis
• Travel required: Yes, approximately 10%
• Experience working with location data vendors and platforms, both commercially as well as a strong familiarity with the open source data ecosystem
• Prior experience working with large enterprise customers in data management or location intelligence
• Knowledge of location intelligence ETL processes and automation
• Hands-on experience with using LLMs and AI models to invoke external MCP servers and 3rd party tools/agents/frameworks to extend and enhance the AI-ecosystem
• Familiarity with knowledge graphs and semantic ontologies as foundational components of AI-ready data architecture
• Ability to demonstrate or explain how Agentic AI and LLMs have augmented the day-to-day tasks of a product manager's remit and workstreams
• Working knowledge and experience with how competitors or vendors adjacent to Precisely in the market are integrating and leveraging LLMs as part of their product offerings