Director of AI Product & Solutions
Across the US, Canada, and the EUFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 5+ years of experience
- Required Skills
- Artificial IntelligenceSoftware EngineeringSaaS
Requirements
- 5+ years of experience in product leadership, engineering leadership, or technical solution architecture within SaaS, AI, or platform-based environments.
- Strong hands-on technical background in software engineering, AI/ML systems, data products, or large-scale system design, with the ability to code and build solutions directly.
- Proven track record of transforming early-stage technology concepts into revenue-generating products or client-facing solutions.
- Strong commercial mindset with experience driving go-to-market execution, client engagement, and business growth outcomes.
- Exceptional communication and storytelling skills, with experience presenting to executives, clients, and industry audiences.
- Entrepreneurial ‘player-coach’ mentality with the ability to operate independently while building and mentoring high-performing teams.
Responsibilities
- Lead the end-to-end creation of AI product and service offerings, from ideation and architecture to deployment and commercial scaling.
- Act as a hands-on technical builder, actively coding, designing system architecture, and developing early proof-of-concepts to validate product direction.
- Define and execute product strategy, including roadmap development, KPI ownership, and performance tracking tied to revenue, adoption, and delivery outcomes.
- Build and lead a cross-functional team across engineering, product, and go-to-market functions, fostering a culture of speed, experimentation, and execution excellence.
- Collaborate closely with sales and marketing teams to develop demos, technical narratives, ROI materials, and client-facing solution assets.
- Evangelize AI capabilities internally and externally through client engagements, industry events, and strategic partnerships, while continuously monitoring advancements in AI/ML and integrating relevant innovations.
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