Posted:5 days ago|
Platform:
Remote
Full Time
We at Entiovi Technologies provide digital transformation using new-age intelligent technologies for more than 8 years.
● Own the AI product backlog, translating strategy and roadmaps into clear epics, user stories, workflows, and acceptance criteria
● Lead sprint planning, backlog grooming, and delivery rituals to maintain focus, velocity, and predictable outcomes
● Partner closely with engineering, ML, and data teams to ensure requirements are clear, dependencies are managed, and delivery stays on track
● Serve as the product bridge between engineering, data science, AI research, and business stakeholders, balancing feasibility, user value, and impact
● Use cursor-based rapid prototyping and lightweight technical exploration to validate ideas, accelerate discovery, and unblock teams
● Apply strong code literacy to understand implementations, reason about trade-offs, and help resolve product and delivery challenges
● Review and validate AI feature delivery against acceptance criteria, expected behaviour, quality, and performance standards
● Incorporate customer insights, usage data, and emerging AI capabilities into continuous product iteration
● Communicate progress, risks, and trade-offs clearly to cross-functional stakeholders, including GTM, Sales, Support, and Leadership
● Define and track success metrics for AI products across adoption, user experience, model effectiveness, and delivery timelines
● Ensure responsible AI development by aligning with data security, privacy, and ethical AI standards
Contribute to planning decisions around sequencing, experimentation, and release readiness
● 6+ years of experience in Product Management or Product Ownership, delivering technically complex, customer-facing products
● Proven experience working as an AI Product Manager, Technical PM, or in a closely related role
● Strong fluency in Agile delivery using tools such as Jira or Azure Boards
● Conceptual knowledge of AWS, microservices, and API-driven platforms sufficient to partner effectively with engineering teams
● Ability to read, understand, and reason about code to drive better product decisions without owning implementation
● Strong analytical mindset with the ability to define success metrics and use data to guide prioritization
Entiovi Technologies
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