Director of Product - AI Solutions

The Reality Check

Employment Type: FTE

We have an Agentic OS that's proven in customer POCs and generating real enterprise contracts. But there's a huge gap between "it works in the demo" and "it consistently delivers transformational value." We need someone who can bridge that gap and turn field learnings into product features that actually matter.

This isn't about building a product from scratch - it's about taking something that already works and making it bulletproof for enterprise deployment. You'll work directly with our Engineering and AI Architect lead to figure out what comes next, based on real customer data, not just product manager intuition.

Anticipated salary band: $190,000 USD - $250,000 USD, commensurate with experience.

What You'll Actually Own

• Product Roadmap & Prioritization: Own the Agentic OS product roadmap based on customer deployment data, engineering capacity, and market opportunities. Make the hard calls about what we build vs. what we don't.
• Customer-Driven Feature Development: Transform field learnings from our forward-deployed teams into specific product requirements. Turn "the client needs X" into buildable engineering specifications.
• Sales Pipeline Product Intelligence: Partner directly with Marketing & Sales to identify product gaps, competitive threats, and new product opportunities from active deals and lost opportunities.
• Engineering & Data Science Collaboration: Work hands-on with engineering and data science teams to build complex technical products, APIs, and integrations that enterprise customers actually need.
• Continuous Product-Market Fit Optimization: Use deployment metrics, customer success data, and sales feedback to continuously refine our AI Controller, AI Data Engineer, and AI Data Scientist capabilities.

Success Looks Like

• Product-market fit: Clear evidence that enterprises can't say no to our offering
• Competitive advantage: Maintain clear technical differentiation from incumbents
• Enterprise readiness: Platform capabilities that support big deals
• Customer satisfaction: Deployments that consistently deliver promised value

Must Haves

• 0 to 1 product building: You've taken products from early stage to enterprise-ready
• Engineering & data science collaboration: You've worked hands-on with engineering and data science teams to build complex technical products or APIs
• Sales pipeline integration: You've partnered with Marketing & Sales, been ingrained in the sales pipeline to identify product opportunities (new products and application of existing capabilities)
• Enterprise B2B product experience: You understand what enterprises actually need vs. what they say they need

Nice to Haves

• Experience with AI platforms or infrastructure products
• Background in professional services or consulting products
• You've worked with forward-deployed customer teams before
• Experience scaling products to support large enterprise deals

Why This Role Doesn't Suck

• You're building the product that defines how enterprises adopt AI
• Work with real customer deployments, not just user feedback surveys
• Your decisions directly impact million-dollar deals and customer transformations
• Collaborate with cutting-edge AI research and engineering
• We're not a traditional corporate environment where everything goes through committees

Life @ A.Team

• A supportive team that has your back: You'll be working with empathetic, entrepreneurial co-workers who are all deeply motivated by our mission to change the future of work.
• Extensive resources and tools: To help you succeed and achieve your own personal goals.
• Competitive compensation: Attractive base compensation complemented by performance-based incentives.
• Unlimited time off: Take the time you need to relax and recover so that you can bring your A game every day.

Ready to build something that matters? Show us a product you've taken from 0 to 1 enterprise scale and tell us how you'd appro