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What You’ll Do

• 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

What We’re Looking For

• 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.

Success Looks Like

• Multiple enterprise customers successfully onboarded, with robust, high-performing Bobsled AI deployments tailored to their unique data and context layers.
• Measurable improvements in agent performance and customer satisfaction, driven by your technical interventions.
• Documented best practices and reusable deployment patterns that accelerate future customer implementations.
• Short feedback cycles between customer deployments and Bobsled’s product/engineering teams, leading to rapid platform evolution and customer wins.

Compensation

• Competitive salary and meaningful equity
• Comprehensive benefits

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