AI Product Manager

4 weeks ago

Delhi, Delhi, India GetHyr Full time

The Product Owner plays a pivotal role in driving the development and enhancement of cutting-edge technologies. By aligning business needs with product management strategies, this role contributes significantly to the creation of high-quality solutions that deliver tangible value to both internal stakeholders and end-users.

Responsibilities :

As the Product Owner for Data Extraction, you'll collaborate closely with Machine Learning and Engineering on cutting-edge data extraction technologies (e. g. no-OCR VLM-based extractions).

Your primary responsibilities include understanding the business needs in alignment with Product Management and translating them into epics and user stories to enable the team to deliver value in time and quality.

- Close collaboration with all members of the cross-functional team, especially Engineering and Machine Learning.

- Establish a clear understanding of the business value within the team.

- Work closely with Product Managers to create and maintain a product backlog according to business value and company strategy.

- Engage with internal and external stakeholders to understand product requirements.

- Partners with Data Analysts to report product capabilities/performance, and decisions are made based on data.

- Oversees product progress at each iteration.

- Keep up to date with agile best practices and new trends.

- Effectively communicating directly with stakeholders all over the globe.

Requirements :

- Minimum 3+ years professional experience as a Product Owner in an agile environment.

- Understanding of Machine Learning and AI patterns (e. g. VLM, LLMs).

- Experience in working with ML/AI-heavy teams.

- Technical skills with the ability to quickly adapt to new tools and processes.

- Data-driven attitude.

- Knowledge of agile processes and principles.

- Experience with the Scaled Agile Framework (SAFe) or a similar framework is an advantage.

- Ability to work in an international context.

- High level of accuracy and attention to detail.

- Excellent analytical, conceptual, and communication skills.

- Excellent skills in spoken and written English.

- Experience in regulatory compliance.

- Product marketing background.

- Cross-cultural communication Skills.

- Advanced Data Analysis skills.

- Knowledge of Biometric Security Standards.

(ref:hirist.tech)

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