Biz4Group is an AI-first technology consulting and product engineering company that builds innovative AI-powered products and enterprise software for startups, SMBs, and Fortune 500 organizations. Our focus is on creating scalable digital products that solve real business problems through AI, automation, and modern engineering.
As we continue to grow, we are looking for an AI Product Manager who can lead end-to-end product delivery while transforming client projects into product-thinking engagements.
We are looking for an AI Product Manager who believes every client engagement should be managed like a product—not just a project.
You will own the complete product lifecycle, from discovery to deployment, ensuring that customer needs, business goals, AI capabilities, engineering excellence, and delivery execution remain aligned throughout the journey.
The ideal candidate understands that successful delivery is not about completing tasks—it is about creating business outcomes, maximizing customer value, and building scalable solutions.
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Own the complete product lifecycle from discovery to production.
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Translate business challenges into product opportunities.
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Define product vision, roadmap, priorities, and success metrics.
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Drive customer-centric decision-making throughout development.
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Ensure every delivered feature creates measurable business value.
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Treat every client project as a product with long-term scalability and maintainability.
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Shift conversations from feature requests to business outcomes.
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Define product strategy alongside delivery planning.
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Balance customer expectations, engineering constraints, timelines, and business goals.
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Identify opportunities to convert custom solutions into reusable product capabilities.
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Identify where AI creates measurable business value instead of adding unnecessary complexity.
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Define AI-powered workflows, intelligent automation, copilots, and AI agents.
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Collaborate with AI engineers to deliver production-ready AI features.
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Understand LLM capabilities, Agentic AI, Retrieval-Augmented Generation (RAG), MCP, and enterprise AI integrations.
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Drive responsible AI adoption across product development.
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Conduct discovery workshops with customers.
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Understand user personas, workflows, pain points, and business objectives.
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Gather requirements through structured interviews and stakeholder collaboration.
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Convert ambiguous ideas into clear product requirements.
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Prioritize features based on business impact and customer value.
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Create product roadmaps aligned with business objectives.
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Define MVPs and incremental release strategies.
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Balance innovation, customer requests, and technical feasibility.
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Work closely with Engineering Managers, Architects, Designers, QA, AI Engineers, and Customer Success teams.
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Manage sprint planning, backlog prioritization, release planning, and product reviews.
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Remove delivery blockers proactively.
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Ensure predictable and high-quality releases.
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Serve as the primary bridge between customers, engineering, leadership, and business teams.
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Present product updates, roadmap progress, risks, and recommendations.
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Manage expectations through transparent communication.
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Define and monitor KPIs, product adoption, customer engagement, delivery efficiency, and business outcomes.
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Use data to prioritize product improvements.
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Drive continuous product optimization through customer feedback and analytics.
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Product Discovery
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Product Roadmapping
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Backlog Management
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User Story Writing
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PRD Creation
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Feature Prioritization
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Product Strategy
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Customer Journey Mapping
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Agile Product Management
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Design Thinking
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Practical understanding of LLMs and Generative AI.
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Experience working with AI-powered products.
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Knowledge of AI Agents, MCP, RAG, prompt engineering, and AI automation.
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Ability to define AI use cases that solve business problems.
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Agile and Scrum methodologies.
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Sprint planning and execution.
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Risk management.
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Cross-functional team leadership.
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Stakeholder communication.
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Vendor and client management.
The ideal candidate should have a strong understanding of modern software development, including:
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APIs and integrations
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Cloud platforms
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Enterprise software architecture
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AI application lifecycle
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SaaS products
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Web and mobile applications
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Data-driven products
Hands-on coding experience is not mandatory but the ability to communicate effectively with engineering teams is essential.
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6–12 years of experience in Product Management, Technical Product Management, or Digital Product Delivery.
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Proven experience delivering enterprise software products.
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Experience managing AI-powered or data-driven products is highly preferred.
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Experience working with global clients.
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Strong understanding of Agile product development.
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Thinks like a Product Owner, not just a Project Manager.
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Customer-obsessed and business-focused.
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Strong analytical and strategic thinking.
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Excellent communication and stakeholder management skills.
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Comfortable making data-driven decisions.
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High ownership and accountability.
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Ability to thrive in a fast-growing, AI-first organization.
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Passion for innovation and continuous improvement.
During your first 12 months, you will be expected to:
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Successfully deliver multiple AI-powered products with high customer satisfaction.
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Improve delivery predictability and reduce project risks.
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Increase customer adoption and product engagement.
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Convert project-based thinking into product-led delivery across teams.
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Build reusable product capabilities from client engagements.
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Strengthen collaboration between business, product, design, engineering, and AI teams.
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Drive measurable business outcomes through product decisions.
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Build innovative AI-powered products for global customers.
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Work with cutting-edge technologies including Generative AI, AI Agents, MCP, automation, and enterprise AI solutions.
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Collaborate with experienced product, engineering, and AI teams.
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Shape the future of AI-first product development.
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Grow rapidly in a company where innovation, ownership, and execution are valued equally.
If you believe great delivery comes from great product thinking and you're passionate about building AI-powered products that create real business impact, we'd love to hear from you.
