Deployed Engineer
Employment Type: Full-time
Location: On-site (New York, San Francisco, or Austin, TX)
Compensation: $150K – $200K base
Equity: Extremely competitive
Visa Sponsorship: Available
About the Role
We are an applied AI lab building end-to-end software agents designed to act as collaborative AI teammates for engineering teams. Our products include an AI software engineer and an AI-native IDE, built to help engineers focus on higher-leverage problems and enable teams to achieve more ambitious goals.
We are hiring a Deployed Engineer to serve as a customer-facing technical expert. In this role, you will help customers maximize the value of our AI platform by embedding it directly into their engineering workflows and production environments.
This position blends hands-on engineering, technical sales, product intuition, and customer partnership. You will work closely with engineering teams, lead deployments and pilots, and drive adoption from initial integration through long-term success.
What You'll Do
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Own all technical aspects of the customer lifecycle — from deployment to activation and expansion.
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Partner directly with customer engineering teams to understand workflows and identify high-impact use cases.
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Deploy AI tools into real production environments and ensure smooth integrations.
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Lead demos, pilots, and technical deep-dives.
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Build strong relationships with users to drive engagement and product adoption.
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Act as the voice of the customer, shaping product direction and roadmap decisions.
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Proactively implement requested features and advocate internally for customer needs.
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Move quickly across multiple clients, managing context switches and solving problems before they become blockers.
Requirements
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2–4 years of experience as a full-stack software engineer.
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3–5 years of experience in sales engineering, solutions engineering, or pre-sales roles.
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Strong programming skills in Python and TypeScript .
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Experience deploying or integrating technical products into production environments.
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Excellent communication skills and ability to work directly with engineering stakeholders.
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High ownership mindset with strong judgment and bias toward action.
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Comfortable working fully on-site (5 days/week) in NYC, SF, or Austin.
Tech Stack
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Python
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TypeScript
Who You Are
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Customer-obsessed and outcome-driven.
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Technically deep but comfortable in front of customers.
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Highly proactive with strong product instincts.
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Excited about AI and its role in transforming how software gets built.
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Thrives in fast-paced, talent-dense environments.
About the Company
This organization is a fast-growing applied AI lab building end-to-end software agents that act as collaborative teammates for engineers. Founded in 2023 and backed by significant funding, the team consists of world-class engineers and AI leaders from top technology companies.
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