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.