AI Implementation Strategist

Orbis Group; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Orbis Group in Austin, TX is seeking a Forward Deployed Technical Product Manager to lead enterprise AI deployments. You will own engagements from discovery to production, working directly with enterprise clients and internal teams to design and deliver measurable AI solutions.

You will manage commercial aspects, influence executives, and drive adoption through demonstrations, training, and change management, while maintaining autonomy in a fast-paced, hybrid environment.

Qualifications

• 5+ years in technical consulting, product management, or enterprise tech implementation.
• Proven end-to-end delivery experience with Generative AI or automation.
• Strong skills in Python, SQL, APIs, data pipelines, and enterprise integrations.

Responsibilities

• Own end-to-end enterprise AI implementations from discovery to deployment.
• Translate business challenges into scalable AI solutions with clients.
• Collaborate with engineering and product teams to build AI apps.
• Manage commercial engagements, including SOWs, scope, and timelines.
• Engage with senior stakeholders to drive AI adoption and transformation.
• Lead customer demos, training, and change management initiatives.

Skills

Technical consulting

Product management

Solutions architecture

Generative AI

Automation

Data pipelines

APIs

Python

SQL

Tools

Docker

Kubernetes

Job description

Forward Deployed Technical Product Manager – Enterprise AI – Austin TX – Hybrid

We're partnering with a rapidly growing, well-funded Enterprise AI company that is looking for a Deployment Strategist to join its expanding team.

This is a highly client-facing position sitting at the intersection of AI implementation, technical consulting, product management and commercial delivery.

You'll take ownership of enterprise AI engagements from initial discovery and solution design through to production deployment, ensuring solutions deliver measurable business value and ROI.

Key Responsibilities

• Own end-to-end enterprise AI implementations, from initial customer discovery through to production deployment and adoption.
• Work directly with enterprise clients to identify business challenges and translate requirements into scalable AI solutions.
• Partner closely with engineering and product teams to design, build and deploy AI applications.
• Manage commercial engagements, including SOWs, project scope, delivery timelines and ROI.
• Engage with senior stakeholders, including C-suite executives, to drive AI adoption and business transformation.
• Lead customer demonstrations, training and change management initiatives.

Key Requirements

• 5+ years' experience in technical consulting, product management, solutions architecture or enterprise technology implementation.
• Proven experience delivering complex technology solutions end-to-end, ideally involving Generative AI, Agentic AI or automation.
• Strong technical understanding of one or more of, Python, SQL, APIs, data pipelines and enterprise application integrations.
• Familiarity with cloud environments and containerisation technologies such as Docker and Kubernetes.
• Experience managing commercial client engagements, including SOWs, budgets, scope and measurable business outcomes.
• Strong stakeholder management skills, with the ability to bridge business requirements and technical engineering teams.
• Comfortable operating autonomously in a fast-paced, evolving environment.

What's on Offer?

• Opportunity to join a high-growth, well-funded Enterprise AI business.
• Work directly with major commercial enterprises on cutting-edge AI implementations.
• Significant autonomy and ownership across the full customer engagement lifecycle.
• Competitive compensation package, including equity.
• Flexible hybrid working, unlimited PTO and comprehensive benefits.