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.