The Role
As a Forward Deployed Engineer, you'll lead technical execution of post-sales engagements, develop onboarding materials for customers, and collaborate on new feature development.
Summary Generated by Built In
About Refuel.ai
The Mission
Great companies are built on great data. The most successful companies - think Amazon, Google and Meta - employ thousands of data scientists, and spend billions on infrastructure and human operations to solve this problem today.
Refuel’s platform enables enterprises to clean, enrich and label their mountains of messy, unstructured data at superhuman accuracy, by leveraging state-of-the-art LLMs. Recognizing merchants in credit card transactions, parsing candidate resumes, enriching business profiles, standardizing product catalogs – these are just a few examples of applications that our users are building with Refuel, and we’re just getting started. With LLMs, we believe we can solve this data quality bottleneck for every single enterprise in the world, and accelerate the era of AI abundance
The team
Refuel was founded by Rishabh Bhargava and Nihit Desai, and is backed by General Catalyst and XYZ Ventures. We are a small, tightly knit team of builders with deep backgrounds in AI, having worked at the world's leading technology companies and institutions such as Meta, Google Deepmind, Amazon, Lyft, Primer.ai, Stanford and Cambridge. We work out of our offices in San Francisco, CA.
What you will do
- As a Forward Deployed Engineer, you will work closely with our customers to lead the technical execution of high-priority post-sales engagements and POCs. You will apply your technical and analytical skills to close the last-mile gap in Enterprise AI adoption to ensure our customers are successful with Refuel across the lifecycle of AI applications.
- Leverage your expertise in LLMs to build technical guides and onboarding material for users and advise them on the deployment, integration, and use of our platform.
- Partner with our engineering team to identify, prioritize, and build new feature development based on customer feedback
You will be a great fit if you have
- Technical background in Computer Science, Engineering or a related quantitative field.
- Strong technical communication skills, to effectively convey technical solutions and value propositions to customers, and facilitate collaboration across teams.
- Ability to thrive in a fast-paced, dynamic environment, working independently and as part of a small team.
- Familiarity with building and evaluating LLM applications is a big plus.
- Prior experience leading customer-facing technical engagements is a big plus.
What we offer
Since the start of 2024, we have grown more than 10x in terms of revenue and users. We are looking for engineers to lead the development of Refuel’s platform and backend services.
This is an opportunity to join a talent-dense early team, and what we believe will be a generational company. As a member of our early team, you will have meaningful equity ownership in the company, and more importantly the opportunity to have a massive impact.
Top Skills
AI
Computer Science
Llms
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The Company
What We Do
Generate, annotate, clean and enrich datasets for all your AI needs with Refuel's LLM-powered platform. Simply instruct Refuel on the datasets you need, and let LLMs do the work of creating and labeling data.
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