OVERVIEW:
The D. E. Shaw group seeks a product manager to join its Human Capital Products team to support the ongoing development of data infrastructure that enables people analytics. This team manages technology that optimizes human capital processes and empowers the firm to make data-driven talent decisions. The role offers the chance to collaborate with analytics, technology, and human capital teams to deliver scalable, secure, and flexible business intelligence solutions, including leveraging generative AI to derive insights from unstructured data sources.
WHAT YOU'LL DO DAY-TO-DAY:
- Design efficient ETL transformations and model data schemas that transform stakeholder needs into well-structured, scalable data sets, paying close attention to data quality and integrity.
- Help build the API layer that governs data access: centralizing business logic and enforcing permissions, while defining the contracts and boundary conditions to provide a consistent, reliable interface for downstream products and consumers.
- Shape generative-AI capabilities that make data more accessible and unlock more sources of data, through natural-language querying, semantic search, and agentic workflows.
- Partner with reporting, developer, and data scientist stakeholders to understand business needs, design technical solutions, and specify precise, clear requirements—anticipating edge cases up front.
- Oversee development, testing, and rollout across the data infrastructure layers.
• Own stakeholder relationships and share responsibility for sprint planning, backlog grooming, and providing operational support for the existing data product.
• Gain a deep, detailed understanding of the proprietary systems and third-party products that make up the firm's human capital systems landscape.
WHAT WE’RE LOOKING FOR:
- A bachelor’s degree or higher and four to eight years of relevant experience in product management, along with experience designing, implementing, and scaling data and analytics products.
- Keen data analysis and transformation skills, including proficiency with Excel, SQL, and Python.
- Experience working directly with data engineers, data scientists, and software developers on ETL design, business intelligence infrastructure, or API specifications.
- Excellent written and verbal communication, including the ability to explain technical ideas to a non-technical audience, along with organizational skills, a customer service mindset, and quick problem-solving abilities.
- Attention to detail, effective teamwork, project ownership, and the ability to exercise discretion with confidential information.
- Familiarity with best practices and functional expertise in data modeling, data architecture, and data infrastructure is preferred.
- Experience with generative AI infrastructure and techniques—such as vector databases, retrieval-augmented generation (RAG), semantic search, agentic workflows, and natural-language querying of data—is a plus.
- The expected annual base salary for this position is $185,000 to $250,000. Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.
Please note that this post is not an application. Please navigate to our website to apply: https://www.deshaw.com/recruit/jobs/Adv/Builtin/PMDWHOct26
The D. E. Shaw group is an equal opportunity employer.
Skills Required
- Bachelor’s degree or higher
- Four to eight years of relevant product management experience
- Experience designing, implementing, and scaling data and analytics products
- Proficiency with Excel, SQL, and Python
- Experience working with data engineers, data scientists, and software developers on ETL design, business intelligence infrastructure, or API specifications
- Excellent written and verbal communication skills
- Organizational skills, customer service mindset, and quick problem-solving abilities
- Attention to detail, effective teamwork, and project ownership
- Ability to exercise discretion with confidential information
- Familiarity with data modeling, data architecture, and data infrastructure best practices
- Experience with generative AI infrastructure and techniques, including vector databases, RAG, semantic search, agentic workflows, or natural-language data querying
The D. E. Shaw Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The D. E. Shaw Group and has not been reviewed or approved by The D. E. Shaw Group.
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Fair & Transparent Compensation — Pay is consistently characterized as very competitive and often above industry benchmarks, with strong packages cited for both interns and early-career roles. Compensation is also framed as favorable versus several large tech firms for certain levels and geographies.
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Strong & Reliable Incentives — Incentives are described as a structured mix of base salary, variable performance bonus tied to individual and firm outcomes, and a guaranteed long-term incentive paid out over multiple years. Cash-heavy compensation is presented as attractive for immediacy and certainty relative to equity-heavy alternatives.
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Parental & Family Support — Family-related benefits are described as robust, including pregnancy and postpartum support, fertility/adoption/surrogacy assistance, paid parental leave, and childcare benefits. These offerings are repeatedly positioned as a standout part of the overall rewards package.
The D. E. Shaw Group Insights
What We Do
The D. E. Shaw group is trusted by investors across the world to manage their assets by seeking the optimal balance of risk and reward. While we’re known as a pioneer in quantitative investing, we also have considerable expertise in areas that involve fundamental analysis or portfolio manager discretion. We use a combination of quantitative and qualitative tools to uncover independent, hard-to-find sources of return across global public and private markets. Founded in 1988 over a small bookstore in downtown New York City, the D. E. Shaw group began with six employees and $28 million in capital and quickly became a pioneer in computational finance. In the early days of exposed pipes and extension cords, tripping on a cable could take out our whole trading system. Today, the firm has more than 2,500 people around the globe and an institutional-grade (and trip-proof) infrastructure, but we still value creativity, entrepreneurship, and the spirit of discovery. If you’re an intellectually adventurous person who loves to collaborate on challenging and rewarding projects, we encourage you to apply. Visit our Careers page at https://www.deshaw.com/careers to learn more.
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