Forward Deployed Engineer, Bobsled
+ Equity
More information about location
Data sharing cloud platform
Be an early applicant
Data sharing cloud platform
21-100 employees
Be an early applicant
+ Equity
More information about location
21-100 employees
Company mission
To transform the way businesses collaborate on data across the cloud.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- As we scale our AI product, we’re seeking hands-on specialists to ensure our customers’ deployments are robust, contextually tuned, and delivering measurable value
- 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
- 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
Our take
Bobsled is a data-sharing platform that helps companies and individuals transfer data via the cloud. With data security and control becoming an increasingly important tool for companies, Bobsled’s platform exists to unify data sharing, distribution, versioning, and other functions.
Bobsled’s success will rely on its customer retention. As a young company with a number of larger competitors, it will have to scale up to compete in the thriving cloud platform data marketplace. A significant funding round in 2023 should allow it to do just this, as it invests in building out the platform with a focus on supporting a wider range of data sources.
Steph
Company Specialist at Welcome to the Jungle
Insights
86% employee growth in 12 months
Glassdoor (5)
Company
Funding (2 rounds)
Apr 2023
$17m
SERIES A
Jan 2022
$7m
SEED
Total funding: $24m
Company HQ
Downtown Los Angeles, Los Angeles, CA
Leadership
Jake Graham
(Co-Founder & CEO)Previously a Principal Product Manager at Azure Data Exchange, a Lead Product Manager of AI and Graph Analytics at Neo4j, and a Lead Production Manager at Intel Corporation.
Joshua Neckes
(Co-Founder & COO)Previously the Co-Founder & President at Simon Data and PXP, a VP of Marketing for Group Commerce, and the COO at Thunder 1 1.
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