Senior Product Manager, Data

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November 5

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Alkymi

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Artificial Intelligence • Finance • Fintech

Alkymi is a company that provides AI-powered data workflows specifically designed for the financial services sector. The company offers an end-to-end solution for managing private markets data processing by transforming unstructured investment data into standardized, interactive datasets. Alkymi's platform leverages advanced AI, machine learning (ML), and large language models (LLMs) to automate data workflows, enabling financial firms to handle complex documents efficiently. This automation helps firms supercharge their operations, respond quicker to market changes, and make data-driven investment decisions. Through integrations with downstream systems, Alkymi ensures real-time delivery of structured portfolio data. Their solutions are utilized in various areas such as private equity, wealth and asset management, and financial data operations.

11 - 50 employees

🤖 Artificial Intelligence

💸 Finance

💳 Fintech

💰 $21M Series A on 2022-10

📋 Description

• Product Ownership: Develop and execute a product strategy for data products that aligns with MANTL’s business objectives. Manage the product lifecycle from concept to launch, ensuring continued growth and adoption. Own the evolution of analytics dashboards, reports, and other key data tools used by financial institutions to track performance. • Customer-Centric Development: Collaborate with customers, business analysts, and internal stakeholders to identify use cases and pain points. • Lead efforts to enhance self-service capabilities through data access products. Explore opportunities to enhance data integrations through UI improvements within the admin console. • AI & Data Integration Innovation: Identify and develop practical AI/ML applications that complement our data products. Work closely with engineering to ensure seamless integration of APIs and data flows. • Cross-Functional Collaboration: Partner with data engineering and BI teams to ensure alignment on data infrastructure needs. Collaborate with design, product, and development teams to enhance the usability and functionality of data tools. Drive cross-functional initiatives to align product efforts with business priorities and customer needs. • Metrics & Performance Management: Define key success metrics and monitor product performance to make data-driven decisions. Use customer feedback and performance data to iterate and improve product offerings continuously.

🎯 Requirements

• 4-8 years of product management experience, preferably with a focus on data products or analytics platforms. • Prior experience in fintech, SaaS, or data-heavy environments, ideally working with or at financial institutions. • Strong collaboration experience with data engineering, BI teams, and business analysts. • Working knowledge of SQL • Knowledge of BI tools (e.g., Looker, Tableau, Power BI) and data pipelines (ETL/ELT processes). • Familiarity with data governance, privacy, and security standards (e.g., GDPR, SOC). • Comfortable with AI/ML concepts and identifying opportunities for innovative applications. • Strong understanding of agile methodologies and the product development lifecycle (PDLC). • Excellent problem-solving skills with the ability to simplify complexity and provide clear direction. • Exceptional communication and collaboration skills to engage stakeholders across functions. • A customer-first mentality with a passion for delivering exceptional user experiences.

🏖️ Benefits

• remote-first environment • unlimited paid time off • 401(k) with employer match