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The Staff Software Engineer will lead frontend development, ensuring high-quality code, collaborating on design, and mentoring others in UI/UX practices for financial institutions.

Lead the Sustainability Advisory team to drive customer engagement and deliver impactful sustainability initiatives, develop resources, and optimize operations.

Lead strategy and operations for the Customer organization, focusing on customer lifecycle processes, AI workflows, and forecasting to drive operational excellence.

Design and build agent infrastructure and orchestration for AI-driven products; implement observability, tracing, evals, guardrails, and tooling to deploy, monitor, and improve LLM-based systems in production.

The Staff Software Engineer will build interactive data visualizations, APIs, and tools for financial institutions to manage emissions reports, collaborating across teams on software addressing climate data needs.

Join Watershed as a full-stack software engineer to develop products aiding climate and ESG data management. Responsibilities include coding, collaborating with teams, and building user-centric software solutions.

Lead and coach a team of SDRs to generate pipeline for Watershed's sales growth, focusing on performance improvement and data analytics.

Own retention and renewal forecasting, build and manage customer decarbonization portfolios, lead procurement and fulfillment, quantify and showcase customer value, translate field insights into product feedback, scale operations and manage 1-2 operations staff, and develop domain expertise in renewable energy and carbon removals.

Build and extend Watershed's core measurement platform across the full stack: ingest and transform enterprise data, run emissions calculations, make results queryable, own features end-to-end, navigate complex global data domains, and help establish the Denver engineering team.

Operate as the GTM operations partner for Sustainability Advisory & Services: build staffing and forecasting models, own dashboards and reporting, ship AI-first internal tooling, run operating cadence, improve delivery processes, and lead multi-workstream strategic planning to improve utilization, capacity, and delivery quality for enterprise services.