Technical Product Manager (4-7 yrs)

Job Description :

Role : Technical Product Manager (Responsible AI)

Location : Bangalore

Experience : Minimum 4 years of experience as an AI/ML Engineer or Solution Architect (focused on AI products)

Skills Required :

- Strong hands-on experience in AI and Data Engineering, excellent communication, collaboration, and documentation skills, coupled with solid business acumen and presentation capabilities.

Educational Qualification : B.Tech/ M.Tech, preferably from a top-tier institute.

About the Job :

- At PrivaSapien, we are building pioneering and award-winning Responsible AI technologies, and we're looking for individuals who share our passion for safe future of humanity in the AI era.

- As a Technical Product Manager (Responsible AI), you will play a strategic role in driving the development of privacy and responsible AI products.

- You will own the product end-to-end, working closely with customers to solve business challenges by delivering the right technical solutions.

- Your role involves translating complex business requirements into simple, modular functionalities, and collaborating with the R&D and platform teams to architect technical features.

- You will also be responsible for ensuring timely delivery of features, improving quality of products and acting as a key thought leader within the organization.

- We expect our Technical Product Manager to be deeply passionate about Responsible AI, highly knowledgeable in the field of AI, and committed to rapidly building expertise in Privacy and Responsible AI technologies.

- You will work with top talent from premier institutes like IISc, ISI Kolkata, and IIM Bangalore, as well as leading global customers.

Join us if you are ready to revolutionize AI, making it more responsible and privacy-focused.

Responsibilities :

1. Collaborate with the CEO's office, customer-facing teams, and research groups to design the product roadmap and drive agile development.

- Own products end-to-end by understanding regulatory, technical, and business requirements while facilitating technical discussions with internal and external stakeholders.

- Work with R&D and platform teams to architect solutions, troubleshoot customer issues, and brainstorm innovative ideas.

- Prioritize resources based on customer needs, empowering the engineering team to deliver features aligned with the sprint plan.

- Oversee Agile product development, testing, documentation, and release management processes.

- Create and maintain strategic documents including PRDs, Datasheets, Product Launch Plans, Test Plans, Release Notes, User Stories, User Guides, Technical Whitepapers, and Customer Feedback Reports.

- Lead code reviews and bug reviews with the development team.

- Stay up-to-date on emerging global privacy and Responsible AI regulations, analyze research papers and the competitive landscape, and propose strategic feature recommendations.

- Represent the company at events in India and across the globe (travel ~ 20%).

10.Contribute as a passionate member of the leadership team, solving key problems and driving company growth.

Requirements :

- Minimum of 4 years of experience as an AI/ML Engineer or AI Solutions Architect with strong hands-on knowledge of transformer-based architectures and data engineering.

- Proven experience in understanding business requirements, conducting literature reviews, architecting solutions, collaborating with R&D teams, and delivering complex AI features within strict timelines.

- Hands-on experience with common AI development frameworks such as TensorFlow or PyTorch.

- Solid understanding of data and model operations, including data collection, cleaning, pre-processing, feature engineering, and model training.

- Experience in model monitoring and managing model performance, including techniques for detecting drift, evaluating model accuracy, and implementing retraining strategies to ensure optimal results in production environments.

- Demonstrated experience in leading code reviews and approving merge requests, incorporating best practices for performance, security, scalability, and maintainability, while ensuring alignment with product requirements and technical standards.

- Strong understanding of release management for models, ensuring version control, proper documentation, and smooth deployment processes to maintain model integrity and performance in production environments.

- Experience in conducting bug reviews, prioritizing tasks, and collaborating with multiple teams to devise solutions in time- and resource-constrained environments.

- Active contribution to creating PRDs, datasheets, product launch plans, test plans, release notes, user stories, user guides, blogs, and technical whitepapers.

- Successfully conducted complex technical product demos for customers