Forward Deployed Engineer

People Culture Talent; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

People Culture Talent is looking for a Deployed Engineer to lead deployments, develop solutions, and solve complex technical issues within customer environments. The successful candidate will work closely with clients to ensure a successful implementation and help shape future AI collaborations.

This position offers a chance for meaningful ownership in an AI infrastructure company backed by a successful founding team. Candidates should possess strong engineering skills and experience in customer-facing roles.

Qualifications

• Experience in software engineering or customer-facing technical roles.
• Strong development fundamentals capable of writing production-quality code.
• Experience collaborating with customers to solve technical problems.

Responsibilities

• Lead end-to-end technical implementations from kickoff to adoption.
• Design and develop custom workflows, integrations, and extensions.
• Diagnose and resolve complex issues within customer environments.

Skills

Software engineering

Solutions engineering

Technical problem solving

APIs and integrations

Cloud-based architectures

Communication skills

Tools

Developer tools

Infrastructure platforms

AI-native products

Job description

Note: We are recruiting on behalf of our valued client. This opportunity is for a position with their organization, not with People Culture Talent. We're excited to help connect talented professionals with this exceptional team!

The Role

We're looking for a Deployed Engineer to work directly within customer environments, implementing and enhancing a platform that supports mission critical software and AI workflows. In this role, you'll act as an engineer, problem solver, and trusted technical partner. You'll lead deployment projects, develop custom solutions for complex enterprise needs, and collaborate closely with customers from project kickoff through delivery.

What You'll Own

• Customer Deployments — Lead end-to-end technical implementations, managing the process from kickoff to successful adoption.

• Solution Development — Design and develop custom workflows, integrations, and extensions tailored to specific customer needs.

• Technical Problem Solving — Diagnose and resolve complex issues within customer environments.

• Customer Partnership — Establish trusted relationships with customer engineering and technical teams.

• Product Collaboration — Share field insights with the product and engineering teams to inform improvements.

• Implementation Strategy — Guide customers in defining deployment architectures and best practices that ensure long-term success.

• Knowledge Sharing — Create deployment playbooks, technical documentation, and implementation resources to accelerate future projects.

What You'll Bring

• Experience in software engineering, solutions engineering, or customer facing technical roles
• Strong development fundamentals, with the ability to write production-quality code
• Direct experience collaborating with customers to solve technical problems and deliver successful outcomes
• Solid understanding of APIs, integrations, distributed systems, or cloud-based architectures
• Clear communication skills with both technical and non-technical stakeholders
• Ownership mentality, taking responsibility for outcomes from discovery through delivery
• Experience with developer tools, infrastructure platforms, enterprise software, or AI-native products is a strong plus

About Our Client

This venture backed AI infrastructure company is developing the connectivity layer that enables AI platforms and B2B software to take meaningful action within the systems businesses rely on. The founding team brings experience from Google, Meta, and AWS. The team is small, retention rates are exceptional, and the technical standards are high. This is an excellent opportunity for professionals who are excited about meaningful ownership and the chance to help shape the future of collaboration between businesses and AI.