Senior Deployment Strategist - AI Agents

Job Summary

We’re looking for a Deployment Strategist for AI Agents to own the end-to-end delivery of AI agent implementations in real customer environments.

This is a mission-critical, forward-deployed role—you’ll be embedded with clients, bridging cutting-edge AI R&D with real-world operational needs.

You’ll act as the connective tissue between our core engineering teams and our customers, ensuring AI agents are configured, tested, optimized, and performing flawlessly in production.

What you’ll do

• Own end-to-end delivery of AI agent deployments, from initial scoping through production rollout
  
• Serve as the primary point of contact for stakeholders: our client teams and their end customers
• Guide clients through the full lifecycle—onboarding, adoption, renewals, and expansion—driving long-term impact and ensuring the AI provides measurable ROI.
• Build and nurture strong relationships with enterprise customers—manage expectations, create alignment, and become their trusted partner in AI transformation.
  
• Lead stakeholder management across technical and non-technical audiences
  
• Act as a bridge between core R&D and customer operations, translating product capabilities into practical, high-impact deployments
• Ensure deployments meet performance, reliability, and business success criteria
• Manage risk, handle escalations, and remove blockers to keep programs on track and clients confident in high-pressure environments.
  
• Take a hands-on role in implementation, including:
  • Configuration and optimization of AI agents
  • Testing and validation in real production environments
  • Working directly with APIs, webhooks, and LLM prompting
    
    

What we’re looking for

Core Requirements

• Strong background in technical product management, technical program management, or engineering
  
• Hands-on experience with Generative AI / LLM-based systems
• Strong technical acumen—you’re comfortable discussing APIs, cloud infrastructure, LLM behavior, and enterprise IT integrations. You can "speak engineer" and "speak executive" fluently.
  
• Proven track record of owning complex project delivery end to end
  
• Ability to integrate technical execution with business objectives
  
• Comfortable working independently in ambiguous, fast-moving environments
  
• Outstanding communication skills, both written and verbal
  
• High ownership mindset with the ability to operate autonomously
  
  

Nice-to-Have / Bonus

• Ideally 7+ years experience in technical program management
• Prior experience in a forward-deployed, solutions engineering, or customer-facing technical role
• Hands-on experience deploying AI agents or LLM-powered workflows in production
  Familiarity with agent frameworks, orchestration tools, or multi-agent systems
• Experience working with enterprise customers and complex stakeholder environments
• Comfort operating in early-stage or fast-scaling environments with evolving processes
• Ability to read and reason about code, even if not writing production code daily
• Experience working directly with product and research teams to shape roadmap based on customer learnings
  
  

What Success Looks Like

• AI agents are successfully deployed, stable, and delivering measurable value in customer production environments
  
• Customers and end users view you as a trusted technical partner, not just an implementation resource
  
• Deployments move from pilot to production quickly and reliably, with minimal rework
  
• Feedback from real-world deployments meaningfully informs R&D and product direction
  
• Technical and business stakeholders stay aligned, informed, and confident throughout delivery
  
• You proactively identify risks, unblock issues, and own outcomes end to end
  
• Over time, you help define best practices and repeatable playbooks for AI agent deployments
  
  

Mindset We Value

• Startup mentality: bias toward action, and ownership
• Customer-obsessed: success is defined by customer outcomes
  
  

Why This Role

• This role sits at the intersection of AI innovation and real-world impact. Your work directly determines whether AI agents succeed in production, deliver value to customers, and scale reliably.