Lead Product Manager

What You’ll Do

As the Lead PM, you will own the full lifecycle of our data intelligence products—from concept to launch and ongoing refinement. 

• Define the product vision and roadmap for insights derived from geospatial, mobility, behavioral, and commerce data.
  

• Lead cross-functional teams to design, develop, and scale analytics products that turn raw data into intuitive, decision-ready outputs.
  

• Collaborate with data science, engineering, and UX to translate complex data pipelines into clear user experiences and workflows.
  

• Partner with clients, commercial teams, and industry stakeholders to identify high-impact use cases and ensure our solutions are driving measurable outcomes.
  

• Write clear product specs, epics, and user stories with a deep understanding of the underlying data architecture and business logic.
  

• Drive AI adoption across product org
  

• Drive AI research for product features
  

• Prioritize features, manage development timelines, and drive agile execution.
  

• Monitor product performance, gather feedback, and continuously iterate on features and functionality.
  

• Manage relationships with external data providers and ensure seamless data ingestion, processing, and delivery.
  

What You’ll Need to Succeed

• 7+ years of product management experience in SaaS or enterprise data platforms.
  

• Proven track record of building data or analytics products that deliver business insights and value.
  

• Strong understanding of big data architecture, cloud data warehouses (Snowflake, BigQuery, etc.), and ETL/ELT pipelines.
  

• Hands-on expertise in SQL and familiarity with Python or JavaScript is a strong advantage.
  

• A deep appreciation for data—especially geospatial, behavioral, or mobility data—and how it drives business decisions.
  

• Excellent communication and stakeholder management skills.
  

• Prior experience working with or alongside data science, ML, or analytics teams is highly desirable.
  

• Engineering background or technical proficiency & product thinking
  

Requirements

What You’ll Need to Succeed

• 7+ years of product management experience in SaaS or enterprise data platforms.
  

• Proven track record of building data or analytics products that deliver business insights and value.
  

• Strong understanding of big data architecture, cloud data warehouses (Snowflake, BigQuery, etc.), and ETL/ELT pipelines.
  

• Hands-on expertise in SQL and familiarity with Python or JavaScript is a strong advantage.
  

• A deep appreciation for data—especially geospatial, behavioral, or mobility data—and how it drives business decisions.
  

• Excellent communication and stakeholder management skills.
  

• Prior experience working with or alongside data science, ML, or analytics teams is highly desirable.
  

• Engineering background or technical proficiency & product thinking
  

Benefits

Why Join Lifesight?

Be part of a fast-growing, data-driven tech company tackling real-world decision challenges.

Build products used by some of the world’s most recognizable brands.

Collaborate with an exceptional team across product, engineering, data science, and business.

Opportunity to lead product thinking in a space where innovation is still being defined.