Engineering Manager (Data)

About the role

This Engineering Manager (EM) role is data-forward with full stack experience also required. Reporting to the VP of Engineering, the EM will lead across several cross-functional teams, managing up to ~10 full stack software engineers, data engineers, and GIS specialists. They will also support teams building our customer-facing product and teams working on our data processing and pipelines to enable our ML-powered product. This is an addition to Overstory’s engineering leadership team of three people managers, with a primary focus of building and retaining high-performing teams.

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)
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

Skills & Experience

• 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)
• 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

Benefits

Competitive, location-specific compensation and benefits
Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
Home office stipend, coworking and ongoing education budgets
A company culture that genuinely embodies each of our core values
To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Pay

TBD

Schedule

TBD