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Zyoin

GenAI Product Manager

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Description

About the Role :

We are hiring for the position of Product Manager with one of the leading organizations.

Experience : 7+ years

Location : Bangalore

What makes this opportunity special :

- Native GenAI product management experience : The industry is dividing into two camps : those who've built native GenAI products and those who've merely added GenAI features to existing products.

- Direct collaboration with founders : Become an integral part of our decision-making process, working directly with founders to shape both engineering initiatives and go-to-market strategies.

- Accelerated career trajectory : Join as a product manager at an early stage. As we scale, you can lead a team, shape strategy, and influence the entire industry.

What You'll Do :

- Define product strategy and roadmap : Identify key use cases by interacting closely with our customers and users, and define the product strategy and roadmap.

- Shape user experience : Collaborate with UX designers to transform your product vision into intuitive interfaces specifically designed for native GenAI functionality, setting new standards for user interaction.

- Build amazing functionality : Work alongside our world-class engineering team to build groundbreaking products that exceed customer expectations and push the boundaries of what's possible.

- Enable sales success : Work closely with our sales and support teams to provide air cover during pre-sales and post-sales stages for our key enterprise customers.

- Collaborate with marketing : Collaborate with marketing to deliver industry-leading messaging, positioning, pricing, and lead-generation strategy.

Who You Are :

- Proven Data Product Experience : Minimum of 7+ years in enterprise product management, with a track record of successfully developing and launching technical products for data engineers.

Technical Expertise :

1. Deep understanding of data stack concepts including ELT pipelines, data warehousing, data quality frameworks, and workload orchestration.

2. Hands-on experience with contemporary modern data stack technologies such as dbt, Snowflake, Spark, Fivetran, Airflow.

3. Strong foundation in AI technologies, including LLM frameworks, RAG architectures, and AI evaluation methodologies.

- Exceptional Leadership Skills : Demonstrated ability to influence and align cross-functional teams toward common objectives through collaboration and persuasion rather than formal authority.

- Strategic Problem Solver : Strong analytical and creative thinking capabilities, with proven success in navigating ambiguity and developing innovative solutions to complex customer challenges.

- Startup DNA : Previous experience in Series A or B-stage startups, demonstrating the ability to excel in fast-paced, dynamic environments where adaptability is key.

Skills

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See also

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