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As a Strategy and Operations Lead at Overstory, you will play a critical role in linking our customer impact, data analytics, and product direction. Overstory's vegetation intelligence technology provides industry-leading insights that help utilities improve their operational and strategic decisions. You'll be the "tip of the spear," working directly with utility customers to conceive of and deliver actionable analyses to solve their most pressing problems, while helping identify which solutions should inform our next generation of product capabilities.

This is a strategically significant hands-on role for someone who wants to move from advising on problems to owning them: using analytics to help utility customers turn Overstory insights into action today, and using what we learn to shape the product that scales that impact tomorrow. 

This is a great opportunity for someone who loves solving client problems through analytics AND is interested in a product or operational role where they can build new capabilities at a high-growth mission-driven company. Additional highlights of this role include:

• Ownership: Innovate on, deliver, and grow a critical capability for a fast-growing business from customer problem-solving through to scalable productization. 
• Impact: Make a tangible, scalable contribution to climate resilience in the power sector. 
• Skills: Leverage your advisory and analytical toolkit while building product judgment, technical depth, startup operating experience, and your craft with AI tools. 
• Trajectory: Grow your career at a high-growth company, with potential pathways into Product, Customer Success, Sales, or Strategy functions.

Time Zone Requirement: North America (EST strongly preferred)

Drive customer impact through analytics

• Own end-to-end analytical work for existing and new utility customers, in close partnership with Customer Success.
• Solve customer problems by bringing your full client advisory toolkit to bear: understand their goals and constraints, structure and analyze the problem, communicate and iterate on results, and guide to take action and create real-world impact 
• Analyze large, complex datasets from Overstory's platform, customer systems, and third-party sources and deliver outputs in the format that creates the most value: Excel models, presentations, in-product workflows, and lightweight prototypes that can inform future product development.
• Bring creativity, drive, and a curious, customer-first mindset to everything you do, ensuring customers maximize the value of our vegetation risk insights 

• Identify patterns across customer needs, use cases, and analytical projects, and translate them into clear opportunities for product development.
• Help determine which customer solutions should remain bespoke, which should become repeatable workflows, and which should evolve into scalable product capabilities.
• Partner closely with product teams to define frameworks, metrics, prototypes, and product ideas that improve how customers use and realize value from Overstory's insights.
• Bring a deep understanding of customer decision-making, data needs, and operational realities into roadmap discussions and product prioritization. 

• Create processes, templates, and playbooks that become a core part of our customer experience.
• Improve how we deliver customer-facing analyses and experiences across teams.
• Strengthen the analytics workflows and infrastructure that support both customer impact and future productization.

• Passionate about tackling climate challenges with data-driven solutions.
• 4-7 years of professional experience managing customer relationships as a trusted advisor/counterpart; extremely comfortable in front of customers.  
• Excited by the opportunity to use customer-facing analytical work to influence product direction and help build more scalable solutions over time. 
• Strong experience working with large, complex datasets to create valuable business insights; can break down large problems into smaller, easier-to-digest parts 
• Proficiency in Excel for data modeling and analysis. 
• Demonstrable track record of learning new technical analysis tools (e.g., SQL, Python / pandas, geospatial analysis tools) 
• Demonstrable experience (or at a minimum a serious interest in) leveraging AI tooling to accelerate business impact.
• Proven ability to solve ambiguous problems, listen actively, collaborate with stakeholders, and lead through influence. 
• Excellent communication skills, with the ability to translate technical findings for non-technical audiences

• Experience with Python / pandas, SQL, and/or GIS
• Background in utility operations, infrastructure, or vegetation management
• Prior work in a high-growth startup or mission-driven company
• Exposure to remote sensing, AI, or geospatial analytics
• Experience working in a management consulting firm