Customer Success Manager

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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, the company is building a foundation model for the physical world—a real‑time multimodal LLM that transforms real‑world data into valuable insights and knowledge. It will help people in their everyday lives, not just online, by understanding the real‑time physical environment and everything that happens within it.

Supported by deep‑tech venture funds in Silicon Valley, Archetype AI is currently pre‑Series A, progressing rapidly to develop technology for its next stage. The company’s headquarters are in Palo Alto, California, with team members throughout the United States and Europe.

Archetype AI is hiring a Customer Success Manager (CSM) to own delivery and customer success across client engagements. Reporting to the Head of Solutions Engineering, this role will ensure Physical AI solutions move from kickoff to production with clear plans, strong execution, and consistent outcomes. The CSM sits at the center of customer delivery and the broader GTM motion, partnering closely with Account Executives, Solutions Engineering, Product, TPM, and Platform teams.

• Own customer engagements from kickoff through production, including delivery plans, milestones, readiness, and risk management.
• Run customer cadence, including regular delivery calls, status updates, and executive reviews.
• Partner closely with Solutions Architects and Engineers for technical аэропثال while coordinating overall delivery.
• Ensure high‑quality onboarding, enablement, and successful adoption of Physical AI applications.
• Act as the primary coordination point for customer issues, questions, and requests, driving resolution through the appropriate teams.

• Partner closely with Account Executives throughout the customer lifecycle to ensure aligned expectations and smooth handoffs.
• Support deal execution by contributing delivery context, scoping input, and sequencing recommendations for QSTs, POCs, pilots, and production.
• Serve as connective tissue across the GTM team, ensuring Sales, Solutions, and Delivery remain aligned as engagements evolve.
• Help maintain a clear, shared view of customer health, delivery status, and risks across GTM stakeholders.
• Support Account Executives to identify expansion opportunities within existing accounts to drive renewals and prevent churn.

• Coordinate work across Solutions Engineering, Product, TPM, and Platform teams.
• Escalate technical, delivery, and support‑ почти issues appropriately to ensure timely resolution.
• Translate customerクト feedback, issues, and requests into clear, actionable inputs for internal teams.

• Capture, synthesize, and prioritize feature requests arising from customer engagements.
• Translate customer needs and delivery learnings into well‑formed feature requests and problem statements.
• Partner with Product and Engineering to ensure customer‑driven requirements are clearly understood and tracked.
• Close the loop with customers and GTM stakeholders on feature progress andukkan outcomes.

• Manage the internal Solutions Engineering backlog for tooling, physical agents, demos, and early applications.
• Prioritize work based on customer impact, delivery needs, and strategic value.
• Track progress, dependencies, and outcomes across internal Solutions initiatives.
• Help drive repeatable delivery patterns and reusable assets.

• Maintain strong technical credibility with customers and internal teams.
• Run code, validate integrations, and file high‑quality bugs and issue reports when needed.
• Understand how customers interact with Physical AI applications, APIs, SDKs, and deployments, without acting as a full‑time engineer.

• 5–8+ years of experience in customer success, technical delivery, solutions, or program management roles.
• Proven experience owning enterprise customer engagements from kickoff through production.
• Strong cross‑functional coordination and delivery execution skills.
• Technical fluency and hands‑on comfort running code, validating behavior, and triaging issues.
• Excellent written and verbal communication skills.
• High ownership mindset periodically operating in fast‑moving, ambiguous environments.

Mid‑Senior level

Full‑time

Other

Technology, Information and Internet

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