Technical Account Manager & AI/ML

Role: Technical Onboarding & Implementation Lead (TAM / Solutions Engineer)

Engagement: Contract

Remote

Target Experience: 8+ years in post-sales technical delivery, implementation, or customer engineering

Key Focus: Enterprise Onboarding, Complex SaaS/Hybrid Deployments, AI/ML Systems & Infrastructure

Key Responsibilities

• Technical Onboarding & Scoping: Lead end-to-end technical onboarding and implementations for enterprise customers, defining milestones, scoping, architecture alignment, and success metrics.
• Technical Account Ownership: Serve as the primary technical point of contact for customer engineering, DevOps, and security teams post-sale.
• Time-to-Value & Governance: Execute structured implementation plans ensuring customers achieve rapid First Time to Value (FTTV) while proactively flagging blockers and scope risks.
• Cross-Functional Collaboration: Partner closely with Sales, Engineering, Customer Support, and Product teams to ensure seamless handoffs and continuous product feedback.
• Process Standardization: Author reusable implementation playbooks, architecture templates, onboarding runbooks, and best-practice guides.

Candidate Requirements

• 8+ years in a customer-facing, post-sales technical role (e.g., TAM, Solutions Engineer, Integration Engineer, Technical Implementation Consultant).
• Hands-on experience building, integrating, or deploying AI Systems / AI Applications.
• Enterprise Infrastructure Depth: Strong working knowledge of networking, containerization (Docker, Kubernetes), security protocols, and enterprise access controls.
• Deployment Track Record: Proven background delivering complex on-prem, hybrid cloud, or multi-tenant SaaS enterprise deployments.
• Regulated Industries: Experience working with large enterprise clients in regulated sectors (experience with AI/ML or cybersecurity products is a major advantage).
• Project Governance: Exceptional project management, stakeholder alignment, and technical communication skills.