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Tech Stack
Tools & technologiesAWSAzureCloud
About the role
Key responsibilities & impact- Define and execute the vision, roadmap, and operating model for Da Vinci in partnership with the VP of Product.
- Identify and prioritize AI opportunities across Commerce Cloud, Retail Cloud, Merchandising Cloud, Marketing Cloud, Service Cloud, and the Unified Platform.
- Drive AI strategies across Assistive AI, Agentic AI, Automation, Personalization, Analytics, and Decision Intelligence while building Maropost's long-term AI platform and competitive differentiation.
- Lead strategic AI initiatives and a growing team while enabling and influencing product teams through shared frameworks, best practices, and scalable AI capabilities.
- Build strong cross-functional partnerships and drive AI adoption through influence as much as authority.
- Identify customer pain points and opportunities to deliver AI-powered products and experiences with measurable business outcomes.
- Partner with Design, Engineering, Data Science, and Architecture teams to translate emerging AI technologies into practical, scalable solutions and own the product lifecycle from discovery to launch and adoption.
- Establish responsible AI practices and governance standards covering data privacy, compliance, model management, experimentation, monitoring, AI safety, and continuous improvement.
- Drive AI adoption across Product, Engineering, Support, Finance, Marketing, Sales, and Customer Success.
- Evaluate AI platforms and tools, define build-versus-buy strategies, and establish frameworks to measure productivity, efficiency, and business impact.
- Stay ahead of emerging AI technologies, foundation models, agent frameworks, automation platforms, and industry trends.
- Continuously benchmark competitors, translate market opportunities into product investments, and define KPIs to measure adoption, customer impact, operational efficiency, and ROI.
- Present roadmaps, business outcomes, and strategic recommendations to executive leadership.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, Business, Data Science, or a related discipline or equivalent practical experience.
- 5+ years of Product Management experience in SaaS, Platforms, Enterprise Software, or AI-driven products.
- A hands-on, builder mindset - you’re energized by being early, owning strategy, and shipping it yourself, not just directing others.
- Experience building or launching AI, Machine Learning, Generative AI, Copilot, Agentic, or Automation solutions.
- Strong understanding of modern AI ecosystems including LLMs, RAG architectures, embeddings, vector databases, agent frameworks, prompt engineering, and AI orchestration platforms.
- Experience working with AI providers such as OpenAI, Anthropic, Google Vertex AI, Azure AI, AWS Bedrock, or similar platforms.
- Strong understanding of AI product development lifecycles, experimentation methodologies, and success measurement.
- Demonstrated ability to influence cross-functional stakeholders and drive alignment across multiple business units.
- Strong analytical and business acumen with the ability to connect technology investments to measurable outcomes.
- Excellent communication, storytelling, and executive presentation skills.
- Experience evaluating third-party software and leading build-versus-buy decisions.
- Comfortable operating in ambiguity and rapidly evolving technology landscapes.
Benefits
Comp & perks- Health insurance
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIMachine LearningGenerative AIAutomationData ScienceProduct ManagementAI product development lifecycleExperimentation methodologiesPrompt engineeringAI orchestration platforms
Soft Skills
influencecross-functional collaborationanalytical skillsbusiness acumencommunicationstorytellingexecutive presentationstrategic thinkingproblem-solvingadaptability