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Bobsled · 1 month ago

Forward Deployed Engineer (US-Based)

United States

Full-time

Remote

Mid, Senior Level

4+ years exp

Bobsled is building AI-powered analytics experiences that turn natural language into accurate, production-grade insights. The Forward Deployed Engineer will manage AI data agents for enterprise customers, ensuring deployments are robust and tailored to customer needs.

Big DataCloud Data ServicesSaaS

Responsibilities

Own the deployment, configuration, and ongoing management of Bobsled’s AI data agents for enterprise customers, acting as the primary technical point of contact for a small book of accounts

Rapidly develop subject matter expertise in each customer’s data layer, context layer, and operational workflows

Design, implement, and tune context ingestion, data pipeline integration, and agent orchestration to ensure high-performing, reliable AI deployments

Write and ship production-grade code, customizing and extending Bobsled’s platform to meet customer-specific requirements

Collaborate closely with customer stakeholders (technical and non-technical) to understand business objectives, untangle complex requirements, and translate them into actionable technical solutions

Conduct rapid prototyping, iterative solution development, and high-touch troubleshooting directly in customer environments

Monitor, evaluate, and improve the performance of deployed solutions, leveraging feedback loops to identify opportunities for enhancement and generalization

Document best practices, reusable patterns, and deployment primitives, contributing to internal knowledge bases and future product abstractions

Partner with Bobsled’s product and engineering teams to relay insights from the field, shaping platform evolution and customer success strategies

Qualification

PythonData integrationAI/LLM applicationsSQLCustomer engagementAutonomyCommunication skillsProblem-solving

Required

4+ years of hands-on experience in data-focused engineering roles, such as analytics engineer, data analyst, or data engineer

Proficiency in modern programming languages such as Python or TypeScript, with a strong willingness to work across the stack

Demonstrated experience managing and integrating data layers (warehouses, pipelines, ETL, SQL) and context layers (semantic models, metadata, knowledge graphs) in enterprise settings

Experience tuning and operating AI/LLM applications, including prompt engineering, retrieval-augmented generation (RAG), context management, and agent-based architectures

Track record of working directly with customers to deliver technical solutions, including requirements gathering, solution design, and hands-on implementation

Exceptional communication skills and customer empathy; able to translate between technical and business stakeholders, and build trust through high-touch engagement

Bias for action, autonomy, and ownership; able to operate independently in ambiguous environments and drive projects to completion