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Senior Product Manager (AI BI Platform)

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JetBrains

At JetBrains, code is our passion. Since our founding in 2000, we have been dedicated to developing the most effective tools for software developers. Our solutions automate routine tasks, empowering developers to grow, discover, and innovate.

Our product vision for data teams is ambitious: to build a modern analytics platform where business users and analysts collaborate seamlessly. Self-service analytics is a big part of this and will empower both experienced analysts and domain-expert business users to generate insights, leveraging cutting-edge AI technology and no-code tools. JetBrains is now recruiting a Product Manager to bolster our Self-Service Analytics team.

Responsibilities

Drive product strategy through the continuous testing and validation of hypotheses, rigorously experimenting and iterating to define, test, and optimize product-market fit for our new product.

Conduct comprehensive market and user research to understand customer scenarios, identify pain points, and validate product hypotheses and go-to-market scenarios.

Build and nurture relationships with early adopters both internally and externally, gathering continuous feedback to refine the product.

Develop and maintain a product roadmap that clearly communicates product vision and direction.

Collaborate closely with engineering, design, marketing, and sales teams to ensure the successful delivery of product milestones.

Establish industry-relevant benchmarks to mirror prospective customer use cases.

Optimize analytics agents’ response accuracy through the prioritization and preparation of experiments to test accuracy optimization hypotheses.

Develop the products and integrations necessary to enable customers to prepare their data infrastructure for AI use cases (e.g. semantic layering, metadata management, and other considerations).

Qualifications

A proven track record of launching products from scratch, from ideation through to market release (0-to-1 product management).

Experience running user and competitor research, managing relationships with early adopters, and effectively incorporating user feedback into product development.

The ability to define clear strategies and rigorously test market hypotheses through experimentation and iteration.

A good understanding of data architecture concepts and knowledge of SQL.

Familiarity with basic AI engineering concepts, including tokenization, vector searching, retrieval-augmented generation (RAG), and large language models (LLMs).

The ability to communicate technical concepts clearly and effectively with stakeholders at different levels.

Proficiency in English, both written and verbal.

Desirable qualifications

Experience with Python and SQL at a basic level.

Experience with data analytics and BI tools.

Familiarity with platforms such as Snowflake, Databricks, and semantic layers like Cube, dbt, or LookerML.

Knowledge of data catalog solutions (e.g. OpenMetadata, Atlan, DataHub).

Previous experience developing analytics solutions involving AI features.

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Job details

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Product Management

Industries: Software Development

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