AI Product Manager
Hybrid
Full Time
#Product
#AI
#Machine Learning
#AWS
#SQL
#Python
#Pyspark
#EMR
#APIs
#Agile
#BI Tools
TalentNeuron delivers the world’s most comprehensive global talent demand and supply data through an enterprise SaaS platform that draws on public data sets covering profiles, jobs, companies, universities, demographics, and skills. Powered by advanced cloud, big data, and open-source technologies, the platform supplies real-time labor-market insights and predictive analytics that help organizations make informed workforce decisions, optimize talent pipelines, and advance diversity, equity, and inclusion goals. We are now seeking a Mid-Level AI Product Manager to join our hybrid team in India and help shape the next generation of AI-driven data offerings.
Key outcomes
- Prioritize and execute the Artificial Intelligence strategy roadmap to deliver measurable value to customers.
- Partner with product managers to align AI team roadmaps with customer-facing product development and ensure seamless integration.
- Define quantifiable success metrics that track the effectiveness and impact of AI initiatives.
- Translate business requirements into clear, testable user stories with acceptance criteria in collaboration with Data Engineering and Machine Learning teams.
- Provide day-to-day guidance on scoping, story refinement, success criteria, and validation of results.
- Develop strategies to expand data sets in line with market demand and client needs.
- Collaborate with engineering teams on key architectural decisions that optimize data processing and storage.
- Communicate complex concepts, roadmap updates, and outcomes to both technical and non-technical audiences.
- Work with customers, product owners, and technical leads to convert solution concepts into specific technical deliverables and integrations.
- Develop, prioritize, and manage the feature and release backlog throughout the product lifecycle.
Requirements
- At least three years of product-management experience focused on AI or machine-learning products.
- Strong understanding of AI and machine-learning concepts, technologies, and algorithms.
- Hands-on experience with AWS cloud data environments, data contracts, EMR notebooks, and APIs.
- Excellent communication skills and proven ability to collaborate effectively with both technical and non-technical stakeholders.
- Demonstrated success launching and managing AI products from concept through release and ongoing iteration.
- Analytical mindset with the ability to leverage data for decision-making and performance measurement.
- Experience working within agile software-development processes and tools.
- Proficiency in SQL, Python, and Pyspark for building and analyzing data.
- Fluency in English.
Preferred qualifications
- Exposure to BI tools such as PowerBI, Tableau, or Qlik Sense.
Compensation
We offer a competitive compensation package along with the flexibility of hybrid work arrangements.
How to apply
If you are ready to contribute to a pioneering team that values humanity, customer focus, diverse perspectives, innovation, and resilient execution, we invite you to submit your application. We are an equal-opportunity employer committed to building an inclusive workplace for all.




