Asks for

The ad says“Experience orchestrating multi-step AI or agent-driven workflows, including selecting appropriate models, tools, and execution patterns for different use cases”
The ad says“Comfort leveraging AI-enabled development tools and workflows to accelerate engineering, automation, debugging, and operational tasks”
The ad says“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”
The ad says“Familiarity with automated evaluation and feedback loops for AI-enabled systems and workflows”
The ad says“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”
The ad says“Fantastic verbal communications and presentation skills, since this is a customer-facing role and you must have experience owning customer relationships through delivery, including the hard conversations about scope, timelines, and tradeoffs”
The ad says“Experience building or maintaining prompts, evaluation frameworks, documentation, or operational context systems that improve engineering velocity and reliability”
The ad says“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”
The ad says“People leadership experience, including in matrixed or cross-functional structures where influence matters as much as authority”
The ad says“Fantastic verbal communications and presentation skills, since this is a customer-facing role and you must have experience owning customer relationships through delivery, including the hard conversations about scope, timelines, and tradeoffs”
The ad says“A track record of leading technical implementations or professional-services delivery for a software or platform product, ideally in environments with demanding enterprise customers”
The ad says“Experience building or maintaining prompts, evaluation frameworks, documentation, or operational context systems that improve engineering velocity and reliability”
The ad says“A track record of leading technical implementations or professional-services delivery for a software or platform product, ideally in environments with demanding enterprise customers”
The ad says“Fantastic verbal communications and presentation skills, since this is a customer-facing role and you must have experience owning customer relationships through delivery, including the hard conversations about scope, timelines, and tradeoffs”

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
Fantastic verbal communications and presentation skills, since this is a customer-facing role and you must have experience owning customer relationships through delivery, including the hard conversations about scope, timelines, and tradeoffs
People leadership experience, including in matrixed or cross-functional structures where influence matters as much as authority
A bias toward adoption and outcomes, with conviction about what separates a deployed tool from one a team actually uses
Comfort leveraging AI-enabled development tools and workflows to accelerate engineering, automation, debugging, and operational tasks
Experience orchestrating multi-step AI or agent-driven workflows, including selecting appropriate models, tools, and execution patterns for different use cases
Strong judgment reviewing and hardening AI-assisted output for security, scalability, maintainability, and architectural fit
Experience building or maintaining prompts, evaluation frameworks, documentation, or operational context systems that improve engineering velocity and reliability
Familiarity with automated evaluation and feedback loops for AI-enabled systems and workflows

ABOUT US

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.

Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.

The compensation range for this role is $150,000 – $225,000 and spans multiple levels. We're open to hiring at the level that best matches the right candidate's experience. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, budget, and location.