Forward Deployed Engineer
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Role details
Tech stack
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Job description
The Pathfinder Team is our elite group of field-deployed engineers. Each team member has previous founding experience, with fanatical customer obsession and a proven track record of operating and winning in uncharted territory.
You will be embedded with operators running $100M+ businesses to understand their workflows and deploy Revin AI systems that unlock revenue-critical outcomes. You will prototype quickly, integrate deeply, and ship solutions that directly shape the future of our platform. This is a field role. You will be onsite, on calls, in Slack threads, and working hand-in-hand with customers to turn messy real-world processes into scalable AI-powered systems.
What You Will Do
- Own customer interactions, collaborating closely with customer executives and Revinβs GTM team to ensure customer delight and grow enterprise deals
- Partner with our largest customers to design and deliver end-to-end solutions that embed Revin AI agents into core systems such as Salesforce, ServiceTitan, i360, and LeadPerfection
- Deliver complex Revin deployments and activations in production, quarterbacking technical delivery from scoping and onboarding to stable usage and expansion
- Some travel onsite with customers across North America, applying AI to real-world businesses
- Work with Revinβs product and engineering teams to translate field insights into platform improvements, new products, and scalable internal tools
- Communicate directly with the founding team, contributing to Revinβs roadmap
Requirements
Artificial Intelligence (AI), Inside Sales, Marketing, Calendar Management, Remodeling, Embedded Systems, Prototyping, Slack, Customer Relations, Artificial Intelligence (AI) Agents, * An engineer with 2+ years of experience shipping products at a startup or high-velocity company
- Someone with top-tier education in a highly selective and academically rigorous environment and/or experience at top-performing SaaS or AI companies. Advanced degrees are a plus
- A customer-obsessed go-getter who wants to be in the field, getting as close to the product as possible
- An ambitious builder who wants to build a generational product
- A continuous learner comfortable operating in ambiguity. You ship, learn, adapt, and are constantly looking for new information
- Fluent in Python and SQL, comfortable working with REST APIs, and able to move up the stack when needed (TypeScript, React, Node.js)
- Comfortable testing and debugging APIs with tools like Postman, and able to trace issues by digging into logs
- Bonus if you have built with LLM frameworks like LangChain
Benefits & conditions
- Base salary: $120,000-$200,000
- Equity: Meaningful equity package
- Full-time, on-site role in New York
- Significant upside through early ownership and career growth, * Unlimited PTO
- $0 cost medical
- 401k matching
- Lunch and dinner in office
- Gym membership stipend
- Clear Travel Pass
- Tech equipment
- Mentorship pairing with a Revin advisor/investor to help you grow
About the company
At Revin, our mission is to bring superintelligence to the built world. Millions of operators across Home Services, Construction, and Remodeling have been overlooked by the last wave of technology. We believe AI is the most transformational platform change in history, but the hard work lies in thoughtful, context-aware applications of this technology to the real world.
Revin provides operators with an end-to-end system of intelligence to automate and scale revenue. Our modular suite of products includes Scheduling, Appointment Management, Membership Management, Inside Sales, Revenue Capture, Marketing, and Funnel Optimization.
Today, over $2.3B in revenue runs on Revin, making us the number one AI partner for enterprise operators. Our customers include Sears Home Services ($800M), Astara Capital ($700M), Del Air ($150M), Long Home Remodeling ($150M), ImproveIt Remodeling ($100M), Sage Home ($80M), and more. We have raised $10M from top investors including Stellation Capital, 1Sharpe, Gokul Rajaram, Russ Heddleston, Michael Werner, Tandem, Max Branzburg, and Marc Bhargava.
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