Location: Noida, Sector-62 (On-site)
Experience: 6–10 Years
About XTEN-AV
XTEN-AV is transforming how the Audio Visual (AV) industry designs, documents, and deploys projects using AI and automation.
Our platform combines AI-powered design assistance, documentation automation, proposal generation, cloud collaboration, and enterprise integrations to help system integrators, consultants, and enterprises deliver projects faster and more accurately.
As we expand our AI capabilities, we are looking for a Technical Product Manager who can help scale our AI division by driving product execution, customer success, and cross-functional collaboration.
Role Overview
This role is the operational backbone of our AI division.
You will work directly with customers, engineering teams, AI researchers, designers, and leadership to convert business problems into scalable AI-powered solutions.
You will own product planning, documentation, client communication, feature prioritization, delivery planning, and execution while enabling our engineering teams to focus on building world-class technology.
This is a hands-on role suited for someone who enjoys solving customer problems, working with AI technologies, and driving products from concept to delivery.
Key Responsibilities
Product Ownership
- Own AI product initiatives from discovery through delivery.
- Gather customer requirements and convert them into actionable product requirements.
- Create Product Requirement Documents (PRDs), user stories, acceptance criteria, and functional specifications.
- Prioritize features based on business value and customer impact.
- Work closely with leadership on product strategy and roadmap.
AI Solution Design
- Understand customer workflows and identify opportunities to apply AI.
- Define AI use cases and solution architecture with engineering teams.
- Plan integrations with enterprise applications, APIs, cloud platforms, and third-party tools.
- Drive proof-of-concepts (PoCs) from inception to successful completion.
- Ensure AI solutions align with customer goals and business outcomes.
Client Engagement
- Lead discovery workshops with enterprise customers.
- Translate business requirements into technical deliverables.
- Present product capabilities, solution proposals, and implementation plans.
- Manage stakeholder expectations throughout project execution.
- Act as the primary bridge between customers and engineering.
Delivery Management
- Own sprint planning alongside engineering leads.
- Coordinate cross-functional execution across AI, backend, frontend, QA, and DevOps teams.
- Track milestones, risks, dependencies, and delivery timelines.
- Ensure projects are delivered on time with high quality.
- Facilitate daily stand-ups, planning sessions, and retrospectives where needed.
Documentation & Process
- Create and maintain:
- Product Requirement Documents (PRDs)
- Technical Specifications
- Solution Design Documents
- Integration Plans
- User Workflows
- Release Notes
- Customer-facing Documentation
- PoC Charters and Success Criteria
- Continuously improve product development processes and documentation standards.
Required Skills
- 6+ years of experience in Product Management, Technical Product Management, Solution Consulting, or Delivery Management.
- Experience working with engineering teams in Agile environments.
- Strong understanding of APIs, REST services, integrations, and cloud applications.
- Ability to understand technical discussions and convert them into business deliverables.
- Excellent communication and presentation skills.
- Experience writing clear functional and technical documentation.
- Strong analytical and problem-solving abilities.
- Comfortable working directly with enterprise customers.
Preferred Qualifications
Experience with one or more of the following is highly desirable:
- AI/LLM applications
- Generative AI
- Machine Learning products
- Enterprise SaaS
- Workflow automation
- Computer Vision
- CAD/BIM/Engineering software
- Audio Visual (AV) industry
- System integrations
Tools & Technologies
Experience with some of the following is preferred:
- Jira
- Confluence
- Figma
- Notion
- Azure DevOps
- GitHub
- Postman
- OpenAI, Anthropic, or similar AI platforms
- REST APIs
- MCPs and AI agents (preferred)
Success Metrics
Within the first 12 months, you will:
- Successfully lead multiple AI customer implementations and PoCs.
- Improve product delivery predictability and execution.
- Establish standardized product documentation and processes.
- Increase engineering efficiency by improving requirement quality.
- Reduce communication gaps between customers and engineering.
- Drive adoption of new AI capabilities across customer engagements.
What We're Looking For
The ideal candidate is someone who:
- Thinks like a product owner and communicates like a consultant.
- Can confidently engage with enterprise customers and technical teams alike.
- Thrives in ambiguity and enjoys building new products and processes.
- Takes ownership from idea through execution.
- Is passionate about AI and excited to shape the future of intelligent engineering software.
