Deployment Strategist AI

Coberon Chronos; Philippines; On-site; PHP 1,339,000 - 2,120,000; Full time

Job summary

Coberon Chronos is seeking a Deployment Strategist to lead enterprise AI deployments from discovery to production rollout. The role involves translating ambitious AI initiatives into concrete scopes, executable plans, and measurable outcomes, while spending time on-site with customers to ensure real value and adoption.

You will bridge customers, Forward Deployed Engineering, and Product, ensuring alignment on what is built, why it matters, and how it succeeds in production.

Qualifications

• Experience in deployment-focused, technical, or execution-oriented roles.
• Ability to structure ambiguous problems into concrete plans.
• Clear communication and strong stakeholder management skills.

Responsibilities

• Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and focus on helping them win.
• Lead discovery with enterprise customers to understand workflows, constraints, and success criteria.
• Define scope, success metrics, and integration plans for pilots and rollouts.
• Translate customer needs into clear deployment plans for engineering teams.
• Coordinate deployments across Product, Engineering, and customer stakeholders.
• Track progress, manage risks, and remove blockers throughout the deployment.
• Support production launches and ensure solutions are adopted and working as intended.
• Monitor deployed agents and drive follow-up improvements based on real usage.
• Identify additional use cases and expansion opportunities with customers.

Skills

Deployment

Enterprise AI

APIs & integrations

Stakeholder management

Problem structuring

Ownership

Job description

Deployment Strategist

Our client is an enterprise AI platform that helps large organisations move from AI ambition to AI agents running reliably in production. Their technology allows enterprises to design, deploy, and operate AI agents that connect to core business systems and carry out real operational work end-to-end, rather than remaining at the pilot or proof-of-concept stage. Backed by leading international investors and growing quickly, they work hand-in-hand with enterprise customers as those organisations transform into AI-driven businesses.

The Role

Our client is looking for a Deployment Strategist — the person who makes AI deployments actually land.

You will lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, the Forward Deployed Engineering team, and Product, making sure everyone is aligned on what is being built, why it matters, and how it will succeed in production.

This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end. You will spend time on-site with customers, working through real constraints, answering difficult questions, and making sure solutions deliver real value.

Why This Role Exists

Enterprises are ready to use AI, but execution is the hard part. This role exists to bridge that gap — helping customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes.

Requirements

• Experience in deployment-focused, technical, or execution-oriented roles
• Strong ability to structure ambiguous problems and turn them into concrete plans
• Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations
• Clear communication and strong stakeholder management skills
• High ownership mindset and a bias toward action
• Interest in building and deploying AI-powered systems in real environments

Nice to Have

• Background in solutions engineering, technical consulting, or forward-deployed roles
• Prior hands-on engineering experience
• Experience supporting production software launches
• Experience working in high-growth or early-stage environments

Responsibilities

• Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and focus on helping them win
• Lead discovery with enterprise customers to understand workflows, constraints, and success criteria
• Define scope, success metrics, and integration plans for pilots and rollouts
• Translate customer needs into clear deployment plans for engineering teams
• Coordinate deployments across Product, Engineering, and customer stakeholders
• Track progress, manage risks, and remove blockers throughout the deployment
• Support production launches and ensure solutions are adopted and working as intended
• Monitor deployed agents and drive follow-up improvements based on real usage
• Identify additional use cases and expansion opportunities with customers

Why Join

• Work on cutting-edge agentic AI — currently one of the most in-demand areas in enterprise technology
• Join a team of high-agency builders from leading technology companies
• Never boring: you will be solving problems for and with some of the largest enterprises in the world
• Genuine ownership and visible impact in a fast-scaling business