Company Overview:

10Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, ‎digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, ‎transformative ‎digital products that leverage emerging technologies. ‎10Pearls' clients ‎include Global 2000 enterprises, high growth mid-size ‎businesses, and some of the most exciting ‎start-ups from industries like healthcare, fintech, ‎energy, education, ‎real estate, retail, and hi-tech. ‎Headquartered in the Washington DC metro area, 10Pearls has product engineering and ‎software development centers in North America, Latin America, Europe, and South Asia. To learn more, visit https://10pearls.com. 

Roles:

We are looking for an AI-native Product Manager to lead the evolution and commercialization of strategic platforms, including:

• A low-code workflow automation and orchestration platform
• An AI-powered Quality Engineering and agentic testing platform

Responsibilities:
 

• Own product strategy, roadmap, prioritization, and execution 
• Drive customer discovery, market validation, and product-market-fit initiatives
• Partner closely with engineering, AI, design, sales, and leadership teams
• Define product requirements, prioritize opportunities, and measure outcomes
• Create compelling demos, positioning, and go-to-market narratives
• Use AI extensively to accelerate research, analysis, planning, documentation, and product operations
• Establish data-driven processes for experimentation, feedback collection, and continuous improvement
• Turn AI capabilities into differentiated, commercially valuable products

Requirements:

• 5+ years of Product Management experience in B2B SaaS, enterprise software, AI, or platform products
• Strong understanding of modern AI and LLM ecosystems, including agents, copilots, RAG, and workflow automation
• Ability to engage technical teams on architecture, APIs, integrations, and AI systems
• Excellent communication, storytelling, and stakeholder-management skills
• Demonstrated experience taking products from concept through adoption and measurable business outcomes
• Strong customer instincts, commercial judgment, and ability to make clear trade-offs

AI-Native Mindset:

We are not looking for someone who merely uses AI tools. We are looking for someone who is AI-native. You should:

• Use AI throughout the product lifecycle, including discovery, research, analysis, prioritization, planning, execution, and reporting
• Be comfortable using tools such as ChatGPT, Claude, Gemini, Cursor, Replit, Codex, and emerging AI platforms
• Think in terms of agentic workflows, automation, and human-AI collaboration
• Constantly seek ways to increase leverage, speed, learning, and product quality through AI
• Treat AI as a core teammate, not just a feature or productivity tool

What Success Looks Like:

• Increased product adoption and customer engagement
• Clear roadmap execution tied to measurable business outcomes
• Strong customer-feedback loops and validated product-market fit
• Productized AI capabilities that create competitive differentiation
• Faster experimentation, decision-making, and execution through AI-enabled product operations
• Clear product narratives that help customers, sales teams, and internal stakeholders understand the value

Ideal candidate:

A builder, strategist, and operator who can move from customer insight to product direction to execution, while using AI as a core part of how they work.