Solution Lead

About Summation Summation is building the AI Operator: decision-grade AI systems that help enterprise finance and operations teams turn fragmented data and manual analysis into continuously improving decisions and workflows. We combine software, analytics, and AI with deep customer collaboration to build systems that run consequential parts of the business. We are early and moving quickly. The people who join now get broad ownership, direct access to customers and company decision-makers, and the ability to turn field learning into the product and operating model of the company. The Role As a Solution Lead at Summation, you will own customer outcomes from discovery through launch, adoption, and expansion. You will develop a deep understanding of how a customer makes consequential financial and operational decisions, turn that understanding into a concrete implementation plan and new operating workflow, and lead the customer and Summation team through delivery. You will be the primary quarterback for the implementation: modeling processes and decisions, working directly with data and analytical tools, making scope and tradeoffs clear, coordinating technical contributors, resolving blockers, and staying accountable until the workflow is used and producing measurable value. You will also turn repeated field learning into product direction, reusable playbooks, and stronger platform capabilities. You will be technically and analytically hands-on, but you do not need to be the deepest engineer on every problem. Success means choosing the right problem, creating forward motion across stakeholders, and ensuring the customer adopts a system that changes how the business operates. Key Responsibilities Own enterprise implementations from discovery and planning through launch, adoption, measurable value, and ongoing improvement. Build a detailed understanding of the customer's financial or operational process, decision rights, users, data, constraints, controls, handoffs, and success measures. Translate ambiguous problems into concrete models, workflows, product requirements, implementation plans, and explicit tradeoffs. Work hands-on with SQL, spreadsheets, Python, relational databases, BI and analytical tools, financial and operational models, workflow automation, and AI-assisted prototypes when that accelerates the outcome. Lead the customer operating cadence: decisions, owners, milestones, risks, next actions, and clear definitions of done. Coordinate Forward Deployed Engineers, Product, Engineering, and data science contributors without relying on formal people-management authority. Identify adoption risks and operational-change requirements early, then work directly with customer champions and users to establish a durable new workflow. Measure whether the implementation is producing the intended business result and adjust the system or process based on evidence. Turn repeated customer needs and field lessons into product direction, implementation playb