Senior Data Engineering Product Manager

Summary

Join Housecall Pro as a Senior Data Engineering Product Manager – Internal Tooling and drive operational excellence and scalable growth for internal teams. Collaborate with data engineers and stakeholders to shape roadmaps and deliver impactful, data-driven solutions. Lead the strategy for deploying, scaling, and optimizing internal processes, aligning with business objectives and technical feasibility. Work with a best-in-class data stack, including Snowflake, Python, DBT, AWS cloud services, Fivetran, Segment, and Airflow. Enhance decision-making, customer experiences, and organizational efficiency. This role requires a strong background in data engineering and product management, along with excellent communication and leadership skills. Housecall Pro offers a remote work environment, flexible hours, self-managed PTO, monthly tech reimbursements, and a culture focused on innovation.

Requirements

• 5+ years of product management experience with a strong focus on data engineering, data warehousing, or related domains
• Deep understanding of modern data infrastructure, including data lakes, cloud warehouses, ETL pipelines, and distributed systems
• Proficiency in cloud platforms (AWS, GCP, Azure) and tools like Databricks, Kafka, and AWS Glue
• Experience working with Snowflake and marketing platforms such as Facebook Ads or Google Ads
• Intermediate proficiency in SQL
• Strong analytical skills with a data-driven approach to decision-making
• Proven record of delivering complex technical products with high customer satisfaction
• Excellent communication and leadership skills, simplifying technical concepts for non-technical stakeholders
• Demonstrated success in driving operational efficiency and leading change management initiatives

Responsibilities

• Define and execute the product roadmap for data engineering, pipelines, ETL processes, and data warehousing solutions
• Collaborate with stakeholders to gather requirements, prioritize features, and align with business goals
• Drive innovation by staying current with industry trends in data infrastructure, cloud data platforms, and big data technologies
• Collaborate with Data Engineering teams to enhance data pipelines, ensuring scalability, efficiency, and reliability
• Develop strategies for data governance, quality, and lifecycle management
• Prioritize product enhancements, bug fixes, and new feature development to balance immediate needs with long-term strategy
• Provide insights and guidance on warehouse technologies such as Snowflake, BigQuery, or Redshift
• Partner with Data Operations to ensure smooth deployments, performance monitoring, and scalability
• Define and track KPIs to measure success, user satisfaction, and business impact

Preferred Qualifications

• Deep customer empathy and the ability to manage diverse stakeholders effectively
• Strong project management skills to balance high-level strategic thinking with hands-on execution
• Proven ability to achieve strategic goals in a fast-paced, dynamic environment
• Adaptability to navigate ambiguity and drive clarity in decision-making
• Exceptional problem-solving, organizational, and analytical abilities

Benefits

• Remote environment totally built to make you feel that we are all together in one space without leaving your home office!
• Self Managed PTO - Beach? Mountains? Camping? Discovering new experiences? You are free to take time out as you need!
• Flexible work hours - We believe that you can reach your professional and personal goals working with us and encourage you to have a work life balance!
• A culture built on innovation that values big ideas - We are always open to new ideas that will improve the life of our Pros!
• Monthly tech reimbursements