Engineering Manager (Data)

Overstory is a company focused on addressing the climate crisis through innovative technology for a resilient electrical grid. The Engineering Manager (Data) will lead cross-functional teams, managing full stack software engineers and data engineers to build and optimize data processing and pipelines for machine learning applications.

Responsibilities:

• Empower data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines
• Grow the teams by attracting and retaining mission aligned talent
• Foster an inclusive and caring culture where everyone can do their best work
• Provide regular 1:1 coaching and feedback to tap into the potential of all team members and help them thrive
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals
• Partner closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Requirements:

• Experience working in a high growth scale up environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing full-stack or data engineers across multiple teams
• Experience working with the following (or similar) technologies: React/Typescript, Python/FastAPI, PostgresDB, data pipelines, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Experience working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly at the intersection of agentic coding and engineering and data infrastructure
• Experience working with maps/imagery/geospatial domains