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Metro location, popular product role, and notable investor backing increase applicant competition.
Highly specialized in data platform and GenAI product management, reducing cross-industry transferability.
Explicit 7+ years, domain-specific data product expertise, and technical AI stack requirements raise strictness.
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Define product strategy and roadmap for DataPilot and DataMates platforms by engaging with customers to identify key use cases.
Collaborate with UX designers and engineering to build intuitive, next-gen native GenAI product functionalities.
Support enterprise sales and marketing through product expertise to enhance pre-sales, post-sales, positioning, and lead generation.
7+ years enterprise product management experience focused on technical products for data engineers.
Deep understanding and hands-on experience with modern data stack technologies (dbt, Snowflake, Spark, Fivetran, Airflow) and data stack concepts (ELT pipelines, data warehousing, data quality frameworks).
Strong foundation in AI technologies including LLM frameworks, RAG architectures, and AI evaluation methodologies.
Previous experience in Series A or B-stage startups (early-stage, high-growth environment).
Experienced in managing and launching data engineering-focused products with a blend of technical depth and customer insight.
Comfortable working directly with founders and cross-functional teams to influence product and go-to-market strategy without formal authority.
Thrives in fast-paced, high-growth startup settings with a strategic, problem-solving mindset and ability to navigate ambiguity.