Forward Deployed Engineer

What You’ll Do
Work directly with Revenue Optimization leaders, analysts, and customers to understand their objectives, data, and operational constraints.
Build and deploy Python-based models, simulations, reports, and recommendations for territory planning, quota design, market potential, and seller performance.
Own customer problems from discovery and prototyping through validation, deployment, documentation, and adoption.
Move quickly through ambiguity, investigate issues deeply, and do what is needed to deliver a reliable customer outcome.
Turn successful customer-specific implementations into reusable components, workflows, and internal tools.
Ensure all solutions use approved infrastructure and meet security, auditability, and customer-data requirements.

What We’re Looking For
Strong professional experience using Python for data analysis, automation, applied data science, or backend development.
Strong SQL skills and experience working with complex, incomplete, or unfamiliar customer datasets.
Experience with Python libraries such as pandas, NumPy, SciPy, statsmodels, or scikit-learn.
A strong sense of ownership and the determination to work through difficult problems until they are resolved.
A bias toward action and the ability to deliver useful results without waiting for perfectly defined requirements.
Genuine enthusiasm for understanding customers’ businesses and solving problems that materially affect their outcomes.
Strong software engineering fundamentals, including modular design, testing, version control, code review, and documentation.
Experience deploying analytical workflows, internal tools, data pipelines, or customer-specific applications.
Strong communication skills and the ability to work directly with customers, executives, analysts, and engineers.
Comfort balancing rapid delivery with maintainability, security, and long-term reuse.
The resilience and organization required to manage multiple customer-facing workstreams with limited oversight.

Nice to Have
Experience in sales planning, revenue operations, incentive compensation, territory design, or quota setting.
Experience with simulation, optimization, forecasting, geospatial analysis, or account scoring.
Experience in forward deployed engineering, solutions engineering, consulting, or professional services.
Familiarity with cloud data platforms, workflow orchestration, and SOC 2-controlled environments.