Overstory

Engineering Manager

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• 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 your team members and help them thrive and reach their aspirations.
• 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.
• Work 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

Data Engineering Manager

Project Manager

• Sustain the end-to-end delivery of multiple concurrent customer projects.
• Own the delivery triage backlog and ensure quick resolution of issues, coordinating priorities with the engineering, product, and customer success teams.
• Communicate and help teams uphold realistic and ambitious project timelines; proactively identify risks and remove blockers.
• Provide clear, concise status updates and reporting to internal stakeholders.
• Identify process gaps and propose initiatives to improve delivery workflows, reporting, and project outcomes.

Project Manager – Customer Delivery Support

Product Designer

• Lead the end-to-end product design process of our customer-facing product including user research, wireframes, prototypes, flows, detailed design specs and QA.
• Understand engineering and business constraints to create shippable solutions to users’ problems, and continuously validate the solutions with customers.
• Lay out a design vision for what's possible by quickly iterating, knowing when to pay attention to detail and when to make low-fi sketches and prototypes.
• Communicate and present your work clearly and frequently to teammates and company leaders.
• Take full ownership of your work. That also means getting involved on how to communicate it to customers when releases happen.
• Think both short- and long-term so that you can meet near-term deadlines while iterating toward a future vision.
• Facilitate alignment and vision exercises (e.g. design sprints, workshops, planning).
• Occasionally meet in-person with our customers to run workshops, attend field visits and learn about how our customers are leveraging Overstory in their day-to-day operations
• Occasionally attend industry events to keep an eye on competition, and learn about how our prospects and customers are thinking about leveraging disrupting technology

Senior Product Designer

• Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities
• Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions
• Grow the teams by attracting and hiring great Data and ML talent
• Foster an inclusive, supportive, and caring culture where everyone can do their best work
• Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations
• Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals
• Ensure the technical approaches within your domains support future product and modelling needs
• Work closely with other Product, Design and Engineering leaders on strategy, technology, and people
• Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and learning

Engineering Manager, Machine Learning

Customer Success Manager

• Manage 1-3 of our most strategic accounts in California, serving as their primary point of contact and trusted advisor.
• Strengthen and expand relationships with key stakeholders, continuously understanding their evolving needs and what drives success for their organization.
• Coordinate with technical teams to ensure feasible planning and on-time, high-quality execution throughout the delivery season.
• Drive change management and adoption - working closely with customer teams to embed Overstory into their workflows, build internal champions, and ensure the product delivers lasting value across the organization.
• Work closely with the product team to inform the roadmap. Because of your deep proximity to customer needs, you will have a meaningful opportunity to shape how the product evolves.
• Identify and execute on expansion opportunities - including upsells and new product adoption - to grow the strategic value of each account.

Enterprise Customer Success Manager

• Enable our web engineering teams to become highly productive cross-functional teams that ship a high quality product on a daily basis.
• Grow the teams by attracting great talent from your network.
• 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 your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers within your domains and ensure that we are making the correct technical decisions that balance short and long term goals.
• Ensure suitability of the architecture within your domains to enable longer term product goals
• Work closely with the other Product & Engineering leaders on strategy, technology and people. Including improving our engineering practices and introducing capabilities that can accelerate delivery or unlock new product opportunities.

Engineering Manager, Full Stack

Full-stack Engineer

• Performance & scalability: ensuring that our product can handle 3x year-over-year growth
• Velocity: accelerating time to value of new product capabilities
• Leverage: reducing the amount of manual work required to ingest vegetation analysis into our customer facing applications

Senior Software Engineer, Full Stack

• Lead the development across teams that own core geospatial products and internal data-processing and annotation tools at Overstory.
• Set a technical vision for the development of the web applications, ETL pipelines, and backend services owned by these teams.
• Mentor other engineers to follow good practices regarding software development, system design, team processes, QA and project management.
• Involved in other teams’ projects to leverage or enable their own products by giving them access to timely and quality data.
• Occasionally meet with customers to understand their technical needs regarding prospective features.
• Start off being primarily team scoped solving critical scaling challenges with scope to expand remit as we grow.

Staff Software Engineer, Geospatial Data

Platform Engineer

• Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals.
• Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures.
• Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards.
• Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production.
• Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs.
• Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence.
• Set metrics and accountability for platform performance, reliability, and developer productivity.