Product Manager

This is a fully remote position, open to applicants in Colorado, +8 more locations.

📋 Description

• Oversee the daily delivery for Bridg’s primary offline identity resolution product.

• Take ownership of the IDR product roadmap and collaborate with the Director of Product to prioritize initiatives.

• Organize and manage phased releases, encompassing requirements, backlog management, engineering coordination, and launch activities.

• Collaborate with Data Science and Engineering teams to implement improvements in the IDR matching model.

• Define the scope and supervise enhancements to the IDR data pipeline.

• Work alongside Client Success to pinpoint client challenges and implement schema enhancements without disrupting existing clients or integrations.

• Prioritize and execute releases for the Agentic UI.

• Extract value from Bridg data within PAR Retail environments, ensuring connectivity between Bridg’s Snowflake data warehouse and the PAR Retail data lake.

• Establish and monitor release success metrics such as data quality, adoption rates, and adherence to delivery plans.

• Utilize AI tools to draft and review requirements and schema specifications, summarize technical documentation, and evaluate data quality results.

• Engage with Engineering, Client Success, Data Science, Sales, and other cross-functional teams.

• Report directly to the Director of Product.

⛳️ Requirements

• 3–5 years of experience in product management, preferably with data, platform, or B2B SaaS products.

• Proven track record of managing a product roadmap and overseeing phased releases from start to finish.

• Experience in scoping, drafting requirements, prioritizing backlogs, and collaborating with Engineering and Client Success through the launch process.

• Background in working with cross-functional teams to deliver user-facing product experiences.

• Familiarity with structured data, client data platforms, or data enrichment products.

• Understanding of data pipelines and the capability to navigate technical details with Engineering and data teams.

• Ability to convert client and business needs into clear requirements and acceptance criteria.

• Strong stakeholder management skills across Engineering, Data Science, Client Success, and Sales.

• Exceptional written and verbal communication skills, including the ability to convey technical concepts to non-technical audiences.

• Familiarity with identity resolution or entity resolution concepts.

• Knowledge of schema design or data modeling practices.

• Experience collaborating with Data Science teams to implement improvements in machine learning models.

• Interest in AI and agentic product experiences.

• Exposure to cloud data warehouses or data lakes, such as Snowflake or Databricks.

• Basic SQL proficiency.

• Previous experience in retail, restaurant, CPG, or martech SaaS sectors.

• A Bachelor's degree or equivalent practical experience.

• Legal authorization to work in the U.S. or Canada will be verified during the application process.

🏝️ Benefits

• Potential eligibility for additional compensation, including bonuses, commissions, and/or equity, as applicable.

• Fully remote work arrangement.

• Reasonable accommodations provided for individuals with disabilities.