Product Manager — AI Vendor Tools

$200K - $275K New York, NY, US Mid Level AI Product Manager

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Skills & Technologies

ClaudeGemini

About This Role

AI job market dashboard showing open roles by category

Quantitative Strategies / Technology

New York

The D. E. Shaw group seeks an experienced product manager to join its Application Engineering team. This group develops and maintains a range of internal software solutions, including developer tools, infrastructure libraries, and web applications used throughout the firm, and integrates both proprietary and third\-party technologies. This role offers the chance to lead product ownership for a growing portfolio of AI vendor tools—such as Claude, ChatGPT, Copilot, and Gemini—working closely with groups across Systems and the broader firm in a collaborative environment.

What you’ll do day\-to\-day

Manage some of the firm’s largest AI vendor products and related integration efforts, liaising between stakeholders across the firm to drive project strategy and roadmaps.

Evaluate product capabilities, gather and synthesize business needs and feedback, set priorities, define requirements, and coordinate execution across technical and non\-technical teams.

Lead efforts to integrate external vendor solutions into the firm’s environment, ensuring seamless and effective adoption.

Prototype lightweight solutions, such as dashboards or other tools, to help evaluate product capabilities, communicate opportunities, and accelerate decision\-making.

Help build out and manage a small team responsible for maintaining and supporting these vendor tools, including more technical individual contributors.

Who we’re looking for

At least five years of product management experience, including prior ownership of products, roadmaps, prioritization, and stakeholder communication in ambiguous environments.

A proficient technological foundation—including basic knowledge of core computer science concepts and familiarity with a large variety of technologies—and experience with human\-centered design, data analytics, or application infrastructure.

Curiosity about technology, the initiative to spearhead improvements, and a knack for solving open\-ended problems and seeing how small details interrelate to impact the bigger picture.

Demonstrated interest in AI, experience managing vendor products, and the ability to ramp quickly, operate independently, and move work forward with limited structure.

Excellent interpersonal, communication, and organizational skills, along with a client\-service mindset and the ability to build successful relationships within the department and across the firm.

The expected annual base salary for this position is $200,000 to $275,000\. 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.

The D. E. Shaw group is an equal opportunity employer.

The applicable annual base salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience and educational background.

European Union (EU), United Kingdom (UK), California, Hong Kong, Singapore, or Shanghai candidates should refer to the corresponding linked privacy notice.

The D. E. Shaw group may collect, use, hold, transfer, and process candidates’ resumes and associated information (including personal information contained therein) for purposes reasonably related to their application, including without limitation: review and management of employment applications and supporting materials; administration and management of offers to and communication with candidates; and administration, management, and improvement of the recruiting operations of the D. E. Shaw group; and/or where reasonably required in connection with a proposed sale, spin\-out, reorganization, or outsourcing of all or some of the business of the D. E. Shaw group. The D. E. Shaw group will not use such information for purposes unrelated to the foregoing, such as direct marketing of third\-party products to candidates, without candidate consent. As used herein, the term “personal information” is meant to broadly describe information identifying or relating to a specific individual; it is intended to encompass “personal data,” “sensitive personal data,” and “personally identifiable information” and similar terms, as those terms are defined by law in the jurisdictions in which the D. E. Shaw group operates.

The D. E. Shaw group may transfer such personal information within and outside the country and jurisdiction of the locations where the D. E. Shaw group maintains offices, to other D. E. Shaw group affiliates, to government and regulatory authorities, and to third parties which provide or may provide support and/or services to the D. E. Shaw group and for the purposes set forth above. The persons who may have access to this personal information are other employees of the D. E. Shaw group, in connection with the performance of their duties of employment, and the other parties listed above, in connection with the business of the D. E. Shaw group. (Of course, candidates will be considered for employment opportunities only in those countries in which they express interest.)

The D. E. Shaw group will use reasonable care to maintain the confidentiality of personal information (including appropriate technical measures against unauthorized or unlawful processing and against accidental loss or destruction of, or damage to, such information) and will retain such data as required by applicable law or regulation. Candidates have the right to request access to, and correction of, their personal information in accordance with applicable law; any such request should be submitted to recruiting\[email protected]. Candidates who have submitted a resume to the D. E. Shaw group and do not wish to proceed with their applications should email [email protected]. Personal information of candidates who have been the subject of background checks may have been transferred in accordance with applicable regulations, and any concerns with such transfers should be submitted to backgroundcheck\[email protected].

The D. E. Shaw group may retain candidates’ information for prospective recruiting activities, including sourcing candidates for employment opportunities and for organizing events with prospective candidates, in accordance with our internal data retention procedures. Candidates who do not agree to such future use should email recruiting\[email protected].

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Salary Context

This $200K-$275K range is above the 75th percentile for AI Product Manager roles in our dataset (median: $187K across 164 roles with salary data).

View full AI Product Manager salary data →

Role Details

Title Product Manager — AI Vendor Tools
Location New York, NY, US
Experience Mid Level
Salary $200K - $275K
Remote No

About This Role

AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.

Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.

Across the 4,133 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At D. E. Shaw & Co. - Investment Firm, this role fits into their broader AI and engineering organization.

AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.

What the Work Looks Like

A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.

AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.

Skills Required

Claude (14% of roles) Gemini (6% of roles)

Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.

The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.

Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.

Compensation Benchmarks

AI Product Manager roles pay a median of $213,800 based on 610 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,778. This role's midpoint ($237K) sits 11% above the category median. Disclosed range: $200K to $275K.

Across all AI roles, the market median is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Safety ($274,200) and AI Engineering Manager ($268,700). By seniority level: Entry: $97,760; Mid: $165,778; Senior: $227,400; Director: $250,000; VP: $250,000.

D. E. Shaw & Co. - Investment Firm AI Hiring

D. E. Shaw & Co. - Investment Firm has 2 open AI roles right now. They're hiring across AI Product Manager, AI/ML Engineer. Based in New York, NY, US. Compensation range: $275K - $300K.

Location Context

AI roles in New York pay a median of $211,000 across 2,760 tracked positions. That's 5% above the national median.

Career Path

Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.

From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.

The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.

What to Expect in Interviews

AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.

When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.

AI Hiring Overview

The AI job market has 4,133 open positions tracked in our dataset. By seniority: 106 entry-level, 1,901 mid-level, 1,663 senior, and 463 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (583 positions). The remaining 3,532 roles require on-site or hybrid attendance.

The market median for AI roles is $200,700. Top-quartile compensation starts at $254,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Safety ($274,200 median, 57 roles); AI Engineering Manager ($268,700 median, 42 roles); Research Engineer ($260,000 median, 442 roles).

AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.

The AI Job Market Today

The AI job market spans 4,133 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,865), Data Scientist (339), AI Software Engineer (313). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (1,901) and senior (1,663) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 463 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 14% of all AI roles (583 positions), with 3,532 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $200,700. Top-quartile roles start at $254,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Safety roles lead at $274,200 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (2,128 postings), Aws (1,324 postings), Azure (1,003 postings), Rag (916 postings), Gcp (817 postings), Pytorch (655 postings), Prompt Engineering (639 postings), Claude (571 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 610 roles with disclosed compensation, the median salary for AI Product Manager positions is $213,800. Actual compensation varies by seniority, location, and company stage.
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
About 14% of the 4,133 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
D. E. Shaw & Co. - Investment Firm is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from AI Product Manager positions include Director of AI Product, VP Product, Head of AI. Progression depends on whether you lean toward technical depth, people management, or product strategy.

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