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Build data agents that deliver.
Forward Deployed Engineer
Location
United States
Posted
102 days ago
Salary
0
Seniority
Senior
Job Description
Forward Deployed Engineer
Bobsled
• 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.
Job Requirements
- 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.
- Nice to Have: Prior experience deploying AI/LLM systems or analytics platforms in enterprise environments, Familiarity with context management and data agent orchestration in AI applications, Experience with text-to-SQL systems and semantic layers.
Benefits
- Competitive Salary and Equity
- Health Insurance: Medical (100% paid), dental, and vision benefits for you and your family
- Generous PTO policy and paid parental leave
- Fully upgraded Apple MacBook and 4K monitor (for engineering team only)
- Home office stipend of $1,000
- Flexible work hours in a fully remote work environment
- Fully sponsored individual coaching for all employees to help foster a culture of personal reflection and growth (optional but encouraged)
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