Solution Engineer

This Solution Engineer role focuses on enterprise acquisition in the Nashville, Tennessee or Florida region, partnering with Sales to guide customers from raw data to AI impact. The role involves architecting scalable data and AI solutions, delivering compelling demos, and supporting enterprise Proof of Concepts. It requires strong SQL proficiency, Python experience for analytics or ML workflows, and familiarity with AI/ML concepts including Generative AI and LLMs.

Lead and build an elite data science team at Peec AI, taking hands-on responsibility for designing, training, and deploying ML models that power AI search recommendations. This player-coach role requires 8+ years of data science experience with 3+ years in leadership, deep Python expertise, and a first-principles understanding of LLMs and AI search systems. Own the full ML lifecycle from research to production, setting the technical bar for the organization.

This Manager of Solution Engineering role leads a team of Solutions Engineers in Brazil, driving technical wins and fueling LATAM expansion. The role involves building and leading the team, partnering with sales leadership to achieve quota targets, and acting as a player/coach on customer presentations. It requires 5+ years of pre-sales experience with 3+ years of direct line management experience.

This role involves consulting on machine learning and AI solutions, advising customers on best practices for predictive modeling and AI adoption. The consultant will work with clients to identify use cases and implement AI-driven solutions.

This role involves designing and building machine learning models and infrastructure for Pecan's AI platform. The engineer will work on scalable ML pipelines, model deployment, and performance optimization.

This role applies data science expertise to demand forecasting use cases for Pecan AI's customers. The scientist works directly with clients to build and deploy predictive models that improve forecasting accuracy.