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Group Product Manager, AI-Native Data Warehouse
Location
United States + 1 moreAll locations: United States | Canada
Posted
2 days ago
Salary
$230K - $270K / year
Seniority
Lead
No structured requirement data.
Job Description
Group Product Manager, AI-Native Data Warehouse
Juniper Square
Role Description We are looking for a highly experienced and autonomous Group Product Manager to own our newest product (Dex), an intelligent AI-native data warehouse for private markets. This is a flagship zero-to-one role where you will: - Define the vision and multi-year strategy for one of the most consequential product areas at Juniper Square. - Operate as the lead product voice and drive the data foundation that powers both our external products and our internal fund administration operations. - Transform fragmented, document-heavy private markets data into a clean, structured, trustworthy foundation. - Own the entire pipeline and define how this product serves as the data backbone for Juniper Square’s apps, AI agents, and managed services. AI fluency is a baseline expectation. PMs at this level should be comfortable using the full range of modern tools (e.g. LLMs, Cursor, Claude) to: - Orchestrate AI agents to synthesize customer feedback into working hypotheses. - Build functional prototypes before writing requirements. - Use coding agents to submit pull requests for engineering. This role would benefit from in-person collaboration in San Francisco, although we also welcome exceptional candidates from elsewhere in the United States and Canada. What you’ll do - Own the vision, strategy, and roadmap: Define the multi-year vision and strategy for Dex as both an external product and the internal backbone for Juniper Square’s fund administration operations. Sequence the roadmap optimally for Dex to scale across new use cases and customer profiles. - Talk to customers: Spend meaningful time with the GPs who depend on clean, aggregated data, as well as with our internal fund administration team. Use customer insights to challenge and ultimately sharpen strategic direction. - Lead cross-functionally: Partner with engineering, design, fund administration, customer success, sales, forward-deployed AI development teams, and executive stakeholders to align on strategy and ensure execution serves both the business and the customer. - Ship end-to-end: Take problems from discovery through delivery. Plan projects, define requirements, and motivate those building solutions with an understanding of the "why" and the "what" to inspire their ownership of the "how." - Harness the power of AI: Own the product direction for AI-powered capabilities across the pipeline - agentic document ingestion, automated classification and extraction, intelligent mapping and enrichment, human-in-the-loop review, search and retrieval, and AI-driven data insights. - Simplify complexity: Take on the hardest problems in the domain and deliver solutions that feel simple. - Be a leader: Set direction across multiple workstreams and engineering teams. Provide mentorship and product leadership to other PMs working in and adjacent to the domain. Qualifications - 10+ years of product management experience in B2B or Enterprise SaaS, with a significant portfolio of shipped work across the full development lifecycle. - Proven experience owning a complex product area end-to-end, ideally in a zero-to-one context. - Background in data warehousing, data modeling, document ingestion and extraction, ETL/ELT pipelines, data quality and validation. - Experience building agentic workflows or production LLM features with real evaluation and monitoring discipline. - Fluency with LLMs and common AI tools (e.g. Claude, Cursor). - Strong communication skills, written and verbal, with the ability to articulate product decisions clearly. - Track record of leading through influence and setting strategy that multiple teams execute against. Compensation Compensation for this position includes a base salary, equity, and a variety of benefits. The base salary range for this role is $230,000 - $270,000 USD. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location. Benefits - Health, dental, and vision care for you and your family. - Life insurance. - Mental wellness coverage. - Fertility and growing family support. - Flex Time Off in addition to company-paid holidays. - Paid family leave, medical leave, and bereavement leave policies. - Retirement saving plans. - Allowance to customize your work and technology setup at home. - Annual professional development stipend.
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