Director, Technology - Implementation US - Code and Theory

OpenTalent; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Code & Theory seeks a Director of Implementation to own how The Machine lands inside client and agency ecosystems in the United States. You will lead deployment, integrations, and adoption, turning a powerful platform into real-world systems.

You'll manage a team of implementation engineers and solution architects, aligning customer needs with platform capabilities to drive measurable outcomes. This role sits at the intersection of engineering and product delivery in a fast-moving

Qualifications

• Experience leading technical implementations for enterprise software or platforms.
• Ability to architect deployments and troubleshoot complex integrations.
• Strong collaboration with engineering, product, and client teams.

Responsibilities

• Own end-to-end implementation across client environments from scoping to adoption.
• Lead a team of implementation engineers and solution architects.
• Translate customer requirements into deployment plans and surface gaps to roadmap.
• Design integrations with customer tools like Figma, Slack, Teams, Adobe, dashboards.
• Drive post-go-live adoption with enablement and instrumentation.
• Coordinate with engineering, account, and customer stakeholders to keep delivery cohesive.

Skills

Implementation leadership

Cloud architecture

APIs & integrations

Team management

Tools

Figma

Slack

Teams

Adobe

Job description

The Machine is the agentic operating system for marketing, built by Code & Theory. It plugs into the tools marketing teams use and turns disconnected workflows into a single intelligent system, connecting brand strategy, creative production, and media performance. The Machine helps power agencies across Stagwell's network and world-leading brands. It integrates with the tools customers already use (Figma, Slack, Teams, Adobe, performance dashboards) and serves both Stagwell's internal agencies and enterprise brand customers including Qualcomm, TIME, and Stanley Black & Decker.

We're looking for a Director of Implementation to own how the Machine lands inside customer and agency environments. This is the role that turns a powerful platform into working systems for real teams: scoping engagements, leading deployment, integrating with existing tooling, and driving adoption through to measurable outcomes. You'll lead a team of implementation engineers and solution architects, and you'll be the connective tissue between the platform's capabilities and what each customer needs from it.

Our engineers are AI native and engage in and advance the state of the art in the practice of software development with AI.

WHAT YOU'LL DO

• Own end-to-end implementation of the Machine across customer and agency environments, from technical scoping through deployment, integration, and adoption – you will write code and lots of it – daily
• Stand up and lead a team of implementation engineers and solution architects, setting delivery standards and accountable for the quality and pace of every engagement
• Translate customer requirements into deployment plans, working closely with the platform engineering team to surface gaps, prioritize integrations, and feed real-world needs back into the roadmap
• Design integrations against the tools customers already run, making the Machine work alongside Figma, Slack, Teams, Adobe, performance dashboards, and the rest of a customer's stack
• Drive adoption past go-live, defining what success looks like for each engagement and steering teams toward it with the right enablement, instrumentation, and follow-through
• Partner across engineering, account, and customer stakeholders, coordinating reporting lines and expectations so delivery holds together as one effort

WHAT YOU'LL NEED

• A track record of leading technical implementations or professional-services delivery for a software or platform product, ideally in environments with demanding enterprise customers
• Strong technical fluency across cloud, integrations, and APIs — enough to architect a deployment, debug an integration, and earn the trust of the engineers you lead