Custoner Success Engineer, AI Platforms

Prime Team Partners; Bellevue (WA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity participation

Medical/Dental/Vision

Life Insurance

Dependent Care FSA

Limited Purpose FSA

Legal insurance

Job summary

Prime Team Partners is seeking a Senior Customer Success Engineer, AI Platforms, to help enterprise customers deploy and scale an advanced AI analytics platform. You will work with developers, AI platform teams, architects, and executives to ensure successful adoption and measurable outcomes.

This highly consultative, customer-facing role requires technical aptitude, clear communication, and the ability to translate business goals into technical actions.

Qualifications

• 5+ years in customer success engineering or similar role.
• Experience bridging customers and engineering teams in enterprise software.
• Strong API, cloud platform, and deployment knowledge.
• Ability to review code and troubleshoot Python/TypeScript workflows.
• Excellent written and verbal communication; startup mindset.

Responsibilities

• Lead enterprise onboarding programs from kickoff to adoption.
• Act as primary technical advisor for strategic accounts.
• Configure and optimize AI applications, agents, and workflows.
• Plan deployments, validation, and ongoing success.
• Troubleshoot issues via logs, telemetry, and API responses.
• Collaborate with Product and Engineering to improve adoption.
• Develop playbooks, docs, and enablement materials.
• Conduct technical workshops and executive reviews.
• Define governance and success metrics for AI initiatives.
• Identify opportunities for expanded adoption and long-term success.

Skills

Technical Account Management

Customer-facing communication

API and cloud platforms

Python/TypeScript debugging

Enterprise software deployments

Tools

Postman

GitHub

Azure DevOps

Jira

Job description

Our client is an early stage start up building an enterprise software platform designed to help organizations make better decisions in rapidly evolving technology environments. By connecting with existing business systems and workflows, the platform provides leaders with greater visibility into operational activity, resource utilization, and business outcomes.

About the Role

We are hiring a Senior Customer Success Engineer, AI Platforms to help enterprise customers successfully deploy, operationalize, and expand their use of a cutting-edge AI analytics platform. This is a highly consultative, customer-facing role that combines customer success, solution engineering, implementation consulting, and technical account ownership. You will work directly with developers, AI platform teams, architects, engineering leaders, and executive stakeholders to help organizations measure, manage, and scale AI adoption. Success in this role requires strong technical aptitude, exceptional communication skills, and the ability to bridge conversations between engineering teams and business leaders. You will serve as a trusted advisor to customers throughout onboarding, implementation, adoption, and expansion while partnering closely with Product and Engineering teams to ensure long-term customer success. This is an opportunity to join a rapidly growing AI company and play a critical role in helping some of the world's largest organizations bring AI into production successfully.

Responsibilities

• Lead enterprise onboarding programs from kickoff through adoption and expansion.
• Serve as the primary technical advisor and day-to-day point of contact for strategic customer accounts.
• Work directly with customer developers, architects, and AI platform teams to configure, instrument, and optimize AI applications, agents, and workflows.
• Guide customers through implementation planning, deployment, validation, operational adoption, and ongoing success.
• Troubleshoot complex technical issues through logs, telemetry, screenshots, exported data, API responses, and other customer-provided artifacts.
• Serve as the technical liaison between customers and engineering teams, helping reproduce issues, communicate requirements, and drive successful resolutions.
• Partner closely with Product and Engineering to prioritize customer needs and improve platform adoption.
• Develop implementation playbooks, technical documentation, best practices, and enablement materials.
• Conduct technical workshops, executive business reviews, customer strategy sessions, and training programs.
• Help customers establish governance, measurement frameworks, and success metrics for AI initiatives.
• Identify opportunities for expanded adoption, additional use cases, and long‑term customer success.

Qualifications

• 5+ years of experience in Customer Success Engineering, Technical Account Management, Solutions Engineering, Solution Architecture, Implementation Consulting, Technical Consulting, or a similar customer‑facing technical role.
• Experience serving as the bridge between customers and engineering teams in complex enterprise software environments.
• Experience working directly with software developers, architects, platform teams, and executive stakeholders.
• Strong understanding of APIs, integrations, cloud platforms, and enterprise software deployments.
• Strong technical aptitude and the ability to work effectively alongside software developers and platform teams.
• Comfortable reviewing application code, troubleshooting integrations, validating API behavior, and investigating issues involving Python- and TypeScript‑based applications and deployment workflows.
• Experience troubleshooting technical issues through logs, telemetry, monitoring systems, configuration settings, and API responses.
• Experience managing customer‑facing implementation projects involving multiple stakeholders.
• Excellent written and verbal communication skills.
• Ability to thrive in a fast‑moving startup environment with evolving priorities.

Required Skills

• Strong understanding of APIs, integrations, cloud platforms, and enterprise software deployments.
• Strong technical aptitude and the ability to work effectively alongside software developers and platform teams.
• Comfortable reviewing application code, troubleshooting integrations, validating API behavior, and investigating issues involving Python- and TypeScript‑based applications and deployment workflows.
• Experience troubleshooting technical issues through logs, telemetry, monitoring systems, configuration settings, and API responses.
• Experience managing customer‑facing implementation projects involving multiple stakeholders.
• Excellent written and verbal communication skills.
• Ability to thrive in a fast‑moving startup environment with evolving priorities.

Preferred Skills

• Experience with several of the following areas is highly desirable:
• Generative AI, AI agents, LLM‑powered applications, or enterprise AI platforms.
• AI observability, telemetry, monitoring, or instrumentation technologies.
• Python, TypeScript, APIs, SDKs, and developer tooling.
• OpenTelemetry or similar observability frameworks.
• FinOps, cloud economics, AI cost management, or usage analytics.
• Enterprise software implementations in regulated or security‑conscious environments.
• Experience writing basic scripts, modifying sample code, testing APIs, or troubleshooting technical integrations.
• Experience with tools such as Postman, GitHub, Azure DevOps, Jira, cloud monitoring platforms, observability platforms, or log analysis tools.
• Backgrounds in Customer Success Engineering, Technical Account Management, Forward Deployed Engineering, Solutions Architecture, Solutions Engineering, Technical Consulting, or Developer‑Focused Platform Support.
• Note: This is not a software engineering role. However, successful candidates will be comfortable working in highly technical environments, collaborating directly with developers, reviewing code when needed, and troubleshooting complex customer‑facing technical issues.

Pay range and compensation package

• In addition to base salary, the company offers meaningful equity participation, providing employees the opportunity to share in the company's long‑term success.
• Medical, dental, and vision coverage
• Life insurance
• Dependent Care FSA
• Limited Purpose FSA
• Legal insurance