Senior Technical Solutions Engineer

Title of Role: Deployed Engineer

Location: New York, NY | San Francisco, CA | Austin, TX

Company Stage of Funding: Late-Stage Venture (Series C+)

Office Type: Onsite – 5 Days per Week

Salary: $150,000 – $200,000 Base (OTE up to $325,000+, based on experience, qualifications, and location) + Equity

Company Description

Our client is a rapidly scaling applied AI company building end-to-end software agents designed to transform how engineering teams work. Their flagship products include an AI-powered software engineering agent and an AI-native development environment, built to act as collaborative AI teammates for modern developers.

With a talent-dense team composed of elite engineers, former founders, and AI leaders from some of the most innovative companies in the world, the organization is redefining how software gets built. Backed by significant venture funding and experiencing exceptional growth, they are expanding their customer-facing technical team to meet increasing demand.

This is an opportunity to join a high-velocity, ambitious environment where technical depth, ownership, and impact are valued from day one.

What You Will Do

As a Deployed Engineer, you will sit at the intersection of engineering, product, and customer success. You will serve as a trusted technical partner to customers, ensuring successful deployment, adoption, and long-term value realization from AI-driven development tools.

Key responsibilities include:

• Own the technical lifecycle of customer engagements—from deployment and integration to activation and ongoing optimization
• Partner directly with engineering teams to understand workflows, identify high-impact use cases, and embed AI tools into real production environments
• Lead technical demos, pilots, and proof-of-concept initiatives
• Support integrations across customer tech stacks and troubleshoot complex implementation challenges

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• Drive product adoption by activating power users and increasing product utilization
• Translate customer feedback into actionable product insights and collaborate with internal teams to influence roadmap decisions
• Proactively identify blockers, solve technical challenges, and take full ownership of customer outcomes
• Contribute hands-on by building solutions, prototypes, and lightweight feature implementations when needed

This role requires comfort switching contexts across multiple clients, strong product intuition, and a bias toward action.

Ideal Candidate Background

• 2–4+ years of experience as a full-stack software engineer
• 3–5+ years of experience in sales engineering, solutions engineering, or pre-sales roles
• Strong coding proficiency (Python and/or TypeScript preferred)
• Experience deploying technical products into production environments
• Ability to communicate complex technical concepts clearly to engineering audiences
• Demonstrated ownership mindset and comfort working in fast-paced, high-growth environments
• Strong problem-solving skills and ability to make sound technical judgments independently
• Experience working directly with customers in technical contexts

You thrive in environments where you are both building and advising, and you enjoy working closely with end users to ensure successful implementation.

Preferred

• Experience working with developer tools, AI/ML products, or engineering productivity platforms
• Background in startup or high-growth technology companies
• Experience integrating APIs and working across modern cloud-based infrastructure
• Exposure to AI-native development tools or agent-based systems

Compensation, Benefits & Additional Information

• Competitive base salary: $150,000 – $200,000
• On-target earnings (OTE) up to $325,000+ depending on performance and structure
• Highly competitive equity package
• Visa sponsorship available
• Comprehensive health, dental, and vision benefits
• Opportunity to work alongside top-tier technical talent in a fast-growing AI organization
• High ownership, high impact role with significant growth potential

If you are excited about shaping the future of AI-powered software development and want to work directly with engineering teams deploying cutting-edge tools into production, this is a rare opportunity to make meaningful impact at scale.