Director, Implementation (US)

Code and Theory; United States; On-site; USD 150,000 - 225,000; Full time

Job summary

Code and Theory seeks a Director of Implementation to own how the Machine lands inside customer and agency environments. You will scope engagements, lead deployment, integrate with diverse tooling, and drive adoption through measurable outcomes.

You will head a team of implementation engineers and solution architects, unifying platform capabilities with client needs. You will translate requirements into deployment plans, surface gaps with platform engineering, and ensure smooth governance across

Qualifications

• Proven track record leading technical implementations for enterprise software.
• Fluency across cloud, integrations, and APIs to architect deployments.
• Excellent verbal communication and presentation skills for client relationships.
• People leadership experience in matrixed organizations.
• Bias toward adoption and measurable outcomes in deployments.
• Experience with AI-enabled development tools and workflows.

Responsibilities

• 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

Skills

Leadership in delivery

Platform deployment

Client relationship skills

Matrixed people leadership

Adoption-focused

AI-enabled development tools

AI workflows orchestration

AI output evaluation

Prompting/evaluation docs

Automation & debugging

Tools

Cloud & API integrations

Job description

The Machine is Code & Theory's AI orchestration platform — the engine that operationalizes AI across our work and, increasingly, across Stagwell, the global marketing and communications network Code & Theory is part of. The Machine 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 base 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.