Customer Success Manager
Job type: Full Time · Department: Sales · Work type: Remote
San Mateo, California, United States
Archetype AI is developing the world's first AI platform to bring AI into the real world. Formed by an exceptionally high-caliber team from Google, Archetype AI is building a foundation model for the physical world, a real-time multimodal LLM for real life, transforming real-world data into valuable insights and knowledge that people will be able to interact with naturally. It will help people in their real lives, not just online, because it understands the real-time physical environment and everything that happens in it.
Supported by deep tech venture funds in Silicon Valley, Archetype AI is currently at the Series A stage and is progressing rapidly to develop technology for their next stage. This presents a unique and once-in-a-lifetime opportunity to be part of an exciting AI team at the beginning of their journey, located in the heart of Silicon Valley.
Our team is headquartered in Palo Alto, California, with team members throughout the US and Europe.
We are actively growing, so if you are an exceptional candidate excited to work on the cutting edge of physical AI and don’t see a role that exactly fits you below you can contact us directly with your resume via jobs<at>archetypeai<dot>io.
Archetype AI is seeking a Technical Customer Success Manager to own the end-to-end delivery and success of our enterprise engagements. In this hybrid high-impact role, you will operate at the intersection of technical execution and customer business success.
You will not only manage the customer relationship and GTM alignment but also bring the technical depth required to debug integration blockers, validate API endpoints, and guide deployments across cloud and edge environments. You will partner closely with Account Executives, Solutions Engineering, and Product to ensure our "Physical AI" solutions move from pilot to production with clear technical plans and measurable business outcomes.
1. End-to-End Customer Delivery & Success
Own the Engagement: Lead enterprise customers from kickoff through production, developing tailored deployment plans, managing risks, and driving high-quality onboarding.
Lead Professional Services: Drive the execution of professional services and complex solution customizations. You will coordinate timelines and hand-offs between internal teams and external stakeholders to ensure on-time delivery.
Train External Developers: Design and oversee technical onboarding programs for customer engineering teams. You will train developers to build, deploy, and manage their own Physical AI applications using our APIs and SDKs.
Technical Validation & "Hands-on" Execution: Go beyond coordination to actively validate technical success. Use basic scripting (e.g., Python or shell) to test endpoints, validate data, and demo features.
Adoption & Optimization: Track key metrics like activation, usage, and latency to drive user adoption and Time-to-Value (TTV).
Expansion & Renewal: Partner with Account Executives to identify expansion opportunities, support renewals, and prevent churn by maintaining a clear view of customer health.
2. Technical Problem Solving & Architecture
Deep Dive Troubleshooting: Assist customers in debugging integration blockers and triaging bugs. You must be comfortable reading technical documentation and contributing to reproducible issue reports.
Drive Self-Sufficiency: Move customers from "hand-held" implementations to autonomous development by conducting technical workshops and code walkthroughs.
Platform Fluency: Maintain a strong understanding of how customers interact with our REST APIs, SDKs, and platform features.
Deployment Guidance: Provide comfort and guidance for deployments in customer-managed cloud and edge environments.
3. Program Management & Internal Alignment
Cross-Functional Orchestration: Coordinate timelines and hand-offs between internal teams (Engineering, Product, Sales) and external stakeholders.
Documentation & Resources: Identify gaps in developer documentation and partner with Product to improve SDK guides, ensuring customers have the resources needed to debug and build independently.
Solutions Backlog Management: Manage the internal Solutions Engineering backlog for tooling, physical agents, and demos, prioritizing work based on customer impact.
Feedback Loop: Translate customer feedback and real-world deployment signals into actionable product insights and infrastructure improvements.
Experience & Background
5-8+ years of experience in Technical Customer Success, Technical Program Management, or Solutions Engineering roles.
Enterprise Delivery: Proven track record leading technical programs and owning enterprise customer engagements from kickoff to production.
Startup DNA: Experience working in early-stage or high-growth startup environments with a high degree of ambiguity.
Technical Skills
Scripting & Data: Comfort working with Python, shell scripts, or similar tools for technical validation, data analysis, and support.
Integration Fluency: Strong understanding of REST APIs, cloud services (AWS/GCP), data pipelines, or SDK integration workflows.
Debugging: Ability to triage bugs, read technical logs, and isolate issues before escalating to Engineering.
Soft Skills & Attributes
Executive Presence: Ability to lead customer workshops and executive reviews, driving clear outcomes and recommendations.
Communication: Excellent written and verbal communicator, able to translate technical complexity into business ROI for non-technical stakeholders.
Ownership: A high ownership mindset—you identify and solve bottlenecks independently.
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