Product Manager

Life at EvoluteIQ

We at EvoluteIQ believe in the power of transformation. We are committed to building a industry-leading Technology that will revolutionize the way enterprises conduct business.

To make that happen, we need people who are generous, genuine, self-driven, and collaborative.

People who not only want to be a part of a fast-growing and radical thinking company, but who are kind and caringabout each other. We at EvoluteIQ thrive in the company of each other and make each other a better version of ourselves every day.

Could that be you?

Your Mission

Our culture is who we are, and it defines us. We are nimble, fast, dedicated, humble, and bold. We see opportunities everywhere around us to make a dent in the universe. Our core fabric is Innovation!

And this is not just a word, but the way of life within EvoluteIQ.

Changing the way business is done, reimagining the future of work, and enabling people to improve their quality of work every day, is a daunting task. That is what we all strive for every day at EvoluteIQ.

To enable everyone to automate complicated processes with their instinct and knowledge. We make the building of automations implemented for everyone, so that it is not a mystery for a few.

Would you like to join us on this journey?

We are seeking an experienced Product Manager to drive the end-to-end lifecycle of our AI/ML feature within our platform. This role requires strong prior experience in AI/ML product development in a product-based environment, with at least 10+ years of hands on- product management experience.

What you'll do at EvoluteIQ:

End-to-End Feature Ownership

• Own the complete lifecycle of AI/ML features from ideation to production release.
• Act as the primary liaison between business stakeholders, engineering, and data science teams.
• Drive roadmap definition, prioritization, and delivery planning for AI/ML capabilities.
• Ensure delivered features meet business objectives, quality benchmarks, and user needs.
• Drive post release- assessment and iteration based on usage data and feedback.

Research & Requirements Gathering

• Conduct research on AI/ML industry trends, competitive landscape, and customer needs.
• Identify high-value use cases and business opportunities across domains.
• Work closely with internal/external stakeholders to understand business problems and define scope.
• Translate business needs into clear, actionable functional requirements and success metrics.
• Evaluate feasibility, impact, and business value of proposed AI/ML features.
• Stay informed about developments in Generative AI, LLMs, and emerging tools.

Documentation & Communication

• Create comprehensive Product Requirements Documents (PRDs), functional specifications, and workflows.
• Write detailed user stories with acceptance criteria and test scenarios.
• Maintain documentation on feature scope, functionality, limitations, design decisions, and usage guidelines.
• Present feature proposals, roadmap updates, and delivery progress to stakeholders and leadership.
• Ensure alignment of product expectations across technical and business teams.

Engineering & Delivery Collaboration

• Work closely with engineering, data science, UX, DevOps, QA, and architecture teams to deliver high quality- features.
• Ensure seamless integration of AI/ML workflows and model lifecycle management.
• Partner with data science to assess model fit, evaluation metrics, and deployment readiness.
• Support delivery planning, grooming, sprint execution, and release cycles.
• Coordinate go-to- market activities, enablement, and user training

What will you bring to the team?

• 10+ years of hands-on product management experience, with proven ownership of AI/ML or GenAI product areas.
• Prior experience working in a product company is mandatory.
• Strong understanding of:
• ML lifecycle, inference, evaluations
• MLOps processes, Data engineering concepts
• LLMs, embeddings, vector databases, prompt engineering
• Strong documentation skills PRDs, user stories, specs, and roadmaps.
• Experience working closely with engineering and data science teams.
• Excellent communication, presentation, and stakeholder management.
• Experience with agile methodologies.

Good To Have:

• Experience with low-code/no-code platforms or enterprise workflow systems.
• Experience running experiments (A/B testing) or evaluating GenAI/ML models.

What We Offer

• Opportunity to shape the strategy of a next-gen hyper-automation platform.
• Work with a cross-disciplinary team in a fast-growing, innovation-driven environment.
• Competitive compensation and growth opportunities.
• A culture of innovation, ownership, and continuous learning.

We value a range of diverse backgrounds, experiences, and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes.