Director, AI Solutions
AI Summary
A Director of AI Solutions who designs, builds, and ships AI solutions to automate workflows and extend the intelligence layer of Polaris IQ, partnering across product, engineering, and data teams.
About this role
The Role
We’re looking for a Director of AI Solutions to join our AI team at Wpromote, reporting into the Head of AI Strategy & Innovation. You'll be responsible for AI solutions that automate real workflows, sharpen decision-making, and extend Polaris IQ's intelligence layer.
This position requires deep hands-on experience building with AI and a strategic mindset that understands product design / UX and technical feasibility. You'll partner closely with Product Management, Software Engineering, and Data Engineering, and work with department leads from all disciplines to shape the future of AI at Wpromote.
This role has an associated annual target bonus component which is paid out based on a number of factors which include Company performance, department performance, and individual performance. Bonuses are not guaranteed and you must be an active employee in good standing and not on a Performance Improvement Plan to be eligible for the annual bonus.
You Will Be
Design, build, and ship AI solutions to automate workflows, enhance deliverables, and create net new capabilities for internal & client-facing use.
Own the full lifecycle of deployed AI solutions — maintenance, enhancement, reliability, and re-platforming.
Architect solutions to integrate into Polaris IQ's shared intelligence layer rather than as standalone tools.
Partner with the Head of AI and stakeholders across GTM / Sales, Product Management, Software Engineering, and Data Engineering to identify high-value opportunities and translate them into deployed solutions.
Manage and develop 2-3 Jr. AI Strategists — coaching, brief and work review, and growth planning.
You Must Have
7+ years of experience in marketing (agency-side or brand-side) in roles focused on client service / account management, product, or technology.
2+ years of hands-on experience shipping and operating production AI systems — including agentic orchestration, tool-use protocols (MCP or comparable), API integration, and SQL/data warehouse fluency (BigQuery preferred).
Experience managing and developing early-career talent — coaching, work review, growth planning.
Excellent communication skills and the ability to translate technical approaches into value for executives and non-technical stakeholders.
Experience collaborating with Dev / Engineering and Product teams.
A first-principles problem solver — identifies the root problem that needs to be addressed.
Ability to manage ambiguity, prioritize effectively, and move quickly from concept to build.
Skills
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