Senior AI Product Delivery Lead

Gradient Labs
New York
Workplace: HybridFull timeFunction: Transportation & Fleet OperationsSkills: ["Communication","Leadership","Problem-solving","Stakeholder management"]

Delivery-focused leader responsible for end-to-end implementation of Gradient Labs’ AI platform for enterprise clients. You’ll own projects from discovery to integration, guide customers on tailoring AI capabilities, analyze performance data, manage pre-sales with POCs, and collaborate with internal teams to build scalable onboarding and governance that delivers measurable value.

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FursaFursa
Gradient Labs
Gradient Labs
5 months ago

Senior AI Product Delivery Lead

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Source: Company careers pageValidated by: Fursa AI
Last checked: 36 minutes agoStatus: Live

Job Summary

Delivery-focused leader responsible for end-to-end implementation of Gradient Labs’ AI platform for enterprise clients. You’ll own projects from discovery to integration, guide customers on tailoring AI capabilities, analyze performance data, manage pre-sales with POCs, and collaborate with internal teams to build scalable onboarding and governance that delivers measurable value.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Transportation & Fleet Operations

Key Responsibilities

  • •Own the end-to-end delivery and integration of our AI platform into customer environments, setting the project plan and ensuring a high-quality outcome.
  • •Conduct deep-dive discovery to define customer objectives, requirements, and the operational landscape needed to successfully deploy the solution.
  • •Guide customers in tailoring and optimising our AI agent capabilities to solve unique operational challenges and maximise end-user resolution rates.
  • •Proactively analyse performance data to track AI effectiveness, drive continuous improvement, and ensure customers realise measurable value (e.g., deflection, quality, CSAT).
  • •Manage project risks and governance related to AI deployment, ensuring all solutions meet compliance, security, and responsible AI standards.

Key Requirements

  • •Experience in forward-deployed, customer-facing roles at high-growth tech companies.
  • •Ability to own and deliver complex, multi-stakeholder projects end-to-end.
  • •Structured adaptability and the ability to create structure in ambiguity.
  • •Strong technical acumen with APIs and integrations and the ability to collaborate with engineering teams.
  • •Data analysis experience using analytical tools (e.g., Omni, BigQuery) to surface insights and guide decisions.
Experience:EnterpriseAICustomer-facingDeliveryProject management
Skills:CommunicationLeadershipProblem-solvingStakeholder management
Languages:English
Tech Stack:APIsBigQueryOmni

Company Brief

Gradient Labs
Builds an AI customer-operations agent (Otto) for financial services that automates support, compliance, and complex workflows across chat, voice and other channels to improve CSAT and reduce human intervention.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Revenue: USD 1M to 5M
Growth: Growth Stage Startup
Funding: Series A
Headquarters: London, United Kingdom
Founded: 2023
Glassdoor
Glassdoor: 5.0
WebsiteLinkedInGlassdoor