Director, Innovation

Accelerated Digital Media

. Shape the AI vision and strategy with the EVP of Innovation, deciding what OuterBox builds, buys, or skips .

Posted 11/4/2026full-timeRemote • Ohio • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI strategy development, project management, and client-facing AI services, with a strong focus on outcome-based pricing and team leadership. Proficient in leveraging advanced AI models and cloud technologies to drive innovation and measurable results.

Highest-signal resume keywords

AI Strategy DevelopmentTeam LeadershipClient-Facing AI ServicesPython or JavaScript/TypeScriptCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AIMachine LearningApplied AIAnthropic ClaudePythonJavaScriptTypeScriptSQLDigital MarketingOutcome-Based Pricing

Soft Skills

Strong Presentation SkillsCoachingTeam Development

Tools & Technologies

Google CloudGitCI/CD

Industry Keywords

AI Development ServicesGEO OptimizationLLM OptimizationMarket GapsClient AccountsPartner Programs

Tech Stack

Tools & technologies

CloudJavaScriptPythonSQLTypeScript

About the role

Key responsibilities & impact

Shape the AI vision and strategy with the EVP of Innovation, deciding what OuterBox builds, buys, or skips
Identify market gaps and translate them into services, delivery requirements, and engineering projects
Run internal AI projects from intake and build through pilot, rollout, and adoption
Package successful initiatives into client AI services and consulting offers, including AI Development Services and GEO and LLM Optimization
Set scope, pricing, delivery ownership, and sales positioning for AI offerings focused on mid-market clients
Move AI services toward outcome-based and unit pricing
Own production deployments supporting client accounts and partner standing
Run the Anthropic program, including certified practitioners, production deployments, customer stories, and quarterly scorecards
Support the EVP on the AI aspects of Google and Microsoft programs
Convert best practices into reusable agent skills and workflows
Present to directors, clients, leadership, and the board; explain technical trade-offs in plain language
Lead AI adoption through liaisons, training, and certification paths, and join AI-focused sales calls
Lead, coach, and develop the technical team; run 1:1s and annual reviews and set priorities
Work with Technology on security, cloud governance, and reliability
Set initiative KPIs and report cost, adoption, delivery improvement, and AI services revenue
Test new models and tools and recommend adoption or discontinuation
Perform additional duties as assigned

Requirements

What you’ll need

5+ years in AI, machine learning, or applied AI and automation, and 3+ years leading technical teams
History of spotting gaps in the market and turning them into services, products, or platforms that customers paid for
Experience running internal AI projects and client-facing AI services or consulting, including taking an internal playbook and making it a sellable offer with scope, pricing, and delivery
Hands-on work with frontier AI models, including 1+ years with Anthropic Claude
Knowledge of agents, tool use and MCP, retrieval, prompt and context design, and evaluation
Working skill in Python or JavaScript/TypeScript and SQL
Ability to read code and review architecture with engineers and distinguish good work from fine work
Experience with cloud platforms (Google Cloud preferred), Git, and CI/CD
Experience proposing AI initiatives and measuring results against cost, with defensible ROI
Working knowledge of digital marketing agency service delivery, ideally paid media, SEO, and analytics
Comfort with outcome-based and unit pricing, and moving a team away from hours-based work
Strong presentation skills with executives, clients, and engineers
Experience building AI adoption, training, or certification programs
Partner program experience with Anthropic, Google, or Microsoft is a plus
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field; equivalent work experience may be considered in lieu of a formal degree