
SaaS • Cloud Computing • Enterprise
Bobsled is a company that offers a streamlined platform for sharing data across cloud environments, facilitating data integration and management for data providers and consumers. With a focus on reducing complexity in multi-cloud management and providing ready-to-query data, Bobsled allows users to connect to various data lakes or warehouses and share data efficiently with a single API. It supports multiple cloud destinations with a pay-as-you-go pricing model, making it easier for companies to deliver data products to customers without the need to manage complex pipelines. Bobsled is a tool for data companies and software companies aiming to modernize their data delivery systems and accelerate data analysis processes.
11 - 50 employees
☁️ SaaS
🏢 Enterprise
November 18

SaaS • Cloud Computing • Enterprise
Bobsled is a company that offers a streamlined platform for sharing data across cloud environments, facilitating data integration and management for data providers and consumers. With a focus on reducing complexity in multi-cloud management and providing ready-to-query data, Bobsled allows users to connect to various data lakes or warehouses and share data efficiently with a single API. It supports multiple cloud destinations with a pay-as-you-go pricing model, making it easier for companies to deliver data products to customers without the need to manage complex pipelines. Bobsled is a tool for data companies and software companies aiming to modernize their data delivery systems and accelerate data analysis processes.
11 - 50 employees
☁️ SaaS
🏢 Enterprise
• 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
• 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.
• Competitive salary and meaningful equity • Comprehensive benefits
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