Remote Senior Product Manager

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Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Preciselys 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why its an exciting time to join Precisely!

Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
Overview:

Precisely is looking for a Senior Product Manager who has hands-on experience working with or building Cloud-Native Location Intelligence products and technologies. Our ideal candidate has a deep understanding of industry trends of leveraging location intelligence data and analytics for solving complex business problems within the enterprise. You will be an AI-Native Product Manager by leveraging the AI-Ecosystem as everyday instruments to accelerate discovery, synthesize requirements, prototype ideas, and sharpen competitive and market analysis. Understanding how to collaborate in a matrixed organization to ship meaningful products with efficiency will be critical to the success of this role.

What you will do:

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.

What we are looking for:

Educational requirements : Bachelors 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.

Years of experience : 4+ years of experience in Product Management.

Years of experience needed with specific skills :

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.

Specific technical or software skills required :

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.

Necessary certifications : None required

Travel required : Yes, approximately 10%

Qualifications that would be a plus but not required :

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.

AI Skills/Knowledge:

Hands-on experience with using LLMs and AI models to invoke external MCP servers and 3 rd 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.

This position is 100% remote anywhere in the US

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