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About Us
CMB is a full-service custom market research and strategy firm based in Boston, Massachusetts. As a Top 25 Insights & Analytics company, we’re known for our relentless business-decision focus and cutting-edge creativity. Our passion is helping the world’s leading brands engage, innovate, and grow. We invest in ongoing AI-driven solutions and combine this with the best of advanced analytics, consumer psychology, and market strategy to tackle game-changing initiatives and business challenges for our clients.
What about our culture? Simply put, our people are our power. At CMB, we’re proud to be certified as a Great Place to Work, a recognition that reflects the diverse, inclusive, and collaborative environment our team creates every day. We bring together bright perspectives and curious minds who challenge assumptions, share ideas, and push one another to be better.
Innovation is deeply embedded in how we work. That commitment has earned us recognition as one of the GRIT Top 50 Most Innovative Companies, and it shows up daily in how we approach research, insights, and client impact. At CMB, you’ll have meaningful opportunities to achieve your full potential — from learning new skills and expanding your expertise to advancing your career in an environment where you are supported, valued, and encouraged to innovate.
Our benefits say a lot about how much we value our employees: we offer a fully paid sabbatical, an annual wellness day, paid time off to volunteer, generous medical plans, a 401k match, and more. Every employee also gets to enjoy an employee stock ownership plan (ESOP).
ESOP? Yes, we are 100% employee owned! An ESOP is a qualified retirement plan, similar to a 401k, but you don’t have to make any financial contributions to participate in the rewards. When we each work hard to provide exceptional service and deliverables to our clients, the positive performance of the company increases the value of our stock and enables the accumulation of wealth for all our employee-owners.
About the Position
At CMB, the application of Behavioral Psychology and Advanced Analytics underpins our approach to uncovering deep consumer insights that help our clients make decisions with confidence. Intelligent Signals, CMB's AI-powered market intelligence platform, is an important new extension of that approach, combining multi-channel signal ingestion, an AI agent layer, and insight orchestration to help clients act on market signals faster and with more confidence.
Working on the Applied Innovation team and closely with CMB’s VP of Applied Innovation, the Product Manager will help shape the product vision and strategy, and will own product requirements, the roadmap, and go-to-market execution for Intelligent Signals as it grows from its first client deployment into a scalable, sellable CMB product. This includes defining requirements and priorities, packaging the product for repeatable delivery across clients, and partnering with Sales and Client Services to bring the product to market. Technical architecture and engineering are led by PD&I and third-party development partners, with the Product Manager representing client and market needs in those decisions. The Product Manager will spend most of their time on Intelligent Signals and the remaining time supporting broader CMB product management needs for AI Solutions.
This position offers the opportunity to help lead a new growth area for CMB and shape how its AI products are built, packaged, and brought to market, working at the intersection of applied AI, market research, and client strategy with broad exposure across the CMB organization. This position reports to the VP of Applied Innovation and works collaboratively with other teams, including, but not limited to, Product Development & Innovation (PD&I), Advanced Analytics & Data Strategy, Growth Strategy, individual client-facing project teams, and third-party development partners.
This role can be hybrid in Boston, or remote in the US.
About You
You're energized by taking something promising and bringing it to life. You naturally think in terms of roadmaps, requirements, and trade-offs, but you never lose sight of the client problem the product will solve. Whether you're representing client needs in a conversation with engineers or working with Sales to shape how a new capability is positioned, you know how to translate between technical possibility and business value.
You're comfortable leaning into ambiguity. Growing a product from its first client deployment into a repeatable, sellable solution can mean making decisions without a playbook, and you have a track record of approaching that responsibility with curiosity and rigor rather than hesitation. Colleagues trust your judgment because you back it with data, and clients and internal partners alike value how clearly you communicate complex ideas.
About Your Background
You've built your career in product management or product ownership, ideally with B2B data, analytics, or insights products, and you've taken products to market. You know how to define requirements, manage a backlog, and work with sales and client teams to shape a roadmap, and you've supported go-to-market through positioning, sales enablement, and client demos. You're familiar with AI-powered products, such as LLM-based agents or natural language processing, and comfortable discussing capabilities and tradeoffs with technical partners. Exposure to APIs, system integrations, or data pipelines is a plus, but you don't need to be an engineer: technical architecture is led by our PD&I team and development partners. What matters is that you understand the platform well enough to explain it credibly to clients and to weigh how technical constraints affect scope, cost, and timeline.
You thrive at the intersection of strategy and execution — equally comfortable with establishing a long-term vision as you are with rolling up your sleeves to get a release out the door. You've successfully worked cross-functionally with Engineering, Data Science, Sales, Marketing, and Client Services teams before, and you know how to influence outcomes without formal authority over the people involved.
Responsibilities and Expectations
Essential Duties
Intelligent Signals
Responsibilities are grouped by level of ownership, from the areas this role owns to the areas where it partners with and informs technical teams.
Product Ownership* Serves as the day-to-day product owner, single point of contact, and subject matter expert for Intelligent Signals' functionality, requirements, roadmap, and market alignment
- Translates client needs and platform capabilities into clear product and functional requirements, and owns backlog prioritization against short- and long-term goals
- Gathers and prioritizes ongoing input from Sales, Growth Strategy, Client Services, PD&I, and external clients, and owns the feedback loop that turns it into product priorities
- Defines and tracks product success metrics, including user value (e.g., client adoption, usage, satisfaction, and output quality) and business value (e.g., revenue, renewals, and margin), and monitors performance post-launch
- Writes and maintains market and functional requirements documentation for Intelligent Signals, partnering with technical leads on technical specifications and ensuring clear communication between business and development teams
Strategy and Go-to-Market* Shapes the product vision, strategy, and roadmap in partnership with the VP of Applied Innovation, and documents and communicates them across CMB
- Assesses market impact, competitive context, and buyer needs to inform the product's future direction
- Leads go-to-market execution with Practice Leaders and Account Directors, translating Intelligent Signals' capabilities into client-facing positioning, demos, proposal content, and pitch materials
- Develops and facilitates ongoing training on Intelligent Signals for internal teams, including competitive context and relevant industry developments
- Aligns sales tools and the sales process to how clients evaluate and buy an AI-powered intelligence product
Operationalization and Rollout* Co-designs and facilitates the move from a single-client deployment to a repeatable, sellable product, including onboarding, client configuration, and ongoing support processes
- Proactively identifies and helps resolve issues that could impair Intelligent Signals' ability to scale or meet its strategic, financial, or operational objectives
Technical Partnership* Represents client and market requirements as PD&I and third-party development partners determine which parts of the architecture are reusable across clients versus client-specific
- Builds enough working knowledge of the platform (signal sources, AI agents, and analytics) to explain it credibly to clients and understand how technical constraints affect scope, cost, and timeline
General Product Management* Supports product management activities across CMB's broader product portfolio as needed, consistently applying rigor and process
- Maintains a strong working knowledge of CMB's products, methodologies, and the industries CMB serves
- Researches and analyzes competitor products, positioning, and pricing relevant to CMB's portfolio
- Collaborates with other functions and CMB leadership on a shared vision across products and solutions
- Identifies and implements new ways for the product function to add value or streamline how CMB approaches product-related business issues
- Translates individual client needs into longer-term product enhancements that can be leveraged across multiple clients and programs
Other Essential Duties* Takes advantage of training and development opportunities
- Contributes to a team and/or committee for ongoing CMB initiatives
- Participates in peer reviews in a timely manner
- Plans and executes initiatives, as assigned
- Provides prompt, courteous, and exemplary service to all internal and external customers, consistent with CMB's values
- Partners with colleagues across the ITA Enterprise to stay current on opportunities for cross-company collaboration
Qualifications* Bachelor's degree in Business Administration, Marketing, Computer Science, a related field, or equivalent work experience
- 3–5 years of experience in product ownership or product management, with a track record of successfully taking products to market, ideally for B2B data, analytics, or insights products
- Experience defining product requirements, managing a backlog, and working with sales and client teams to shape a roadmap
- Experience supporting go-to-market for B2B products, including positioning, sales enablement, and client demos
- Familiarity with AI-powered products (e.g., LLM-based agents or natural language processing), enough to discuss capabilities and tradeoffs with technical partners
- Comfort working with data and dashboards, and translating signal and analytics output into client-facing value
- Outstanding written and verbal communication skills, with strong presentation skills
- Demonstrated ability to partner across teams (Sales, Marketing, Client Services, Engineering, Data Science) and influence without direct authority
- Capable of being creative while analytically evaluating challenges to develop client-focused solutions; strong problem-solving and decision-making skills
- Demonstrated ability to use data and metrics to support decisions and build business cases
- Proven ability to manage multiple, competing priorities simultaneously in a fast-paced environment
- Ability to think strategically and execute methodically
- Willingness to roll up your sleeves and do whatever is necessary; general manager/owner mentality
- Exposure to APIs, system integrations, or data pipelines a plus (technical architecture is led by PD&I and development partners)
- Experience with multi-tenant or configurable software products a plus
Travel* Up to 10%
No agency assistance needed
No visa/work authorization available
What to Expect as a Candidate
At Chadwick Martin Bailey, Inc. (CMB), we’re committed to creating a positive, transparent, and secure candidate experience. As part of that commitment, we want to make job seekers aware of fraudulent recruiting activity that can occur online. Please keep the following in mind during your job search:
CMB job opportunities are only posted through official channels, including our careers page, LinkedIn, Indeed, and other trusted recruiting platforms. Be cautious of listings or outreach from unofficial sources claiming to represent CMB.
Official communications from CMB will only come from verified company email addresses and authorized recruiters. If you receive unexpected messages, interview requests, or offers that seem suspicious, we encourage you to verify their legitimacy before responding.
We encourage all candidates to confirm open positions directly through our official careers page to ensure the opportunity is legitimate and current.
CMB will never request sensitive personal or financial information early in the hiring process, including banking details, payment information, or requests to purchase equipment. Please protect your personal information and be cautious of fraudulent requests.
If you believe you have encountered a scam or suspicious activity involving CMB, please contact our recruiting team immediately. Your vigilance helps us maintain a safe and trustworthy hiring experience for all candidates.
We appreciate your interest in joining CMB and encourage all applicants to remain informed and scam-aware throughout their job search. Employment with Chadwick Martin Bailey, Inc. is contingent upon successful completion of a background check.
Chadwick Martin Bailey (CMB) is an Affirmative Action and Equal Opportunity Employer committed to fostering a diverse, inclusive, and respectful workplace free from discrimination, harassment, and retaliation. We encourage candidates from all backgrounds and experiences to apply, including individuals from historically and structurally marginalized groups. Research shows that many qualified candidates apply only when they meet every listed qualification, even though few applicants meet 100% of the criteria. If this role aligns with your experience and interests, we encourage you to apply.
CMB considers all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations throughout the application and interview process, during employment, and in accessing employment benefits and privileges. If you require an accommodation, please contact [email protected]
The annual base salary range for this position is $102,000-$120,000 plus bonus, benefits, and an employee stock ownership plan (ESOP). The base salary is dependent on a variety of factors including (but not limited to) experience, expertise, skills, and employee's location.
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Salary Context
This $102K-$120K range is in the lower quartile for AI Product Manager roles in our dataset (median: $193K across 99 roles with salary data).
View full AI Product Manager salary data →Role Details
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 9,653 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Chadwick Martin Bailey, 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 in Demand for This Role
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 $220,200 based on 862 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($111K) sits 50% below the category median. Disclosed range: $102K to $120K.
Across all AI roles, the market median is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,275; VP: $235,000.
Chadwick Martin Bailey AI Hiring
Chadwick Martin Bailey has 1 open AI role right now. They're hiring across AI Product Manager. Based in Remote, US. Compensation range: $120K - $120K.
Remote Work Context
Remote AI roles pay a median of $185,906 across 2,124 positions. About 6% of all AI roles offer remote work.
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 9,653 open positions tracked in our dataset. By seniority: 193 entry-level, 4,500 mid-level, 3,455 senior, and 1,505 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (568 positions). The remaining 9,010 roles require on-site or hybrid attendance.
The market median for AI roles is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 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 9,653 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (7,301), Data Scientist (441), AI Software Engineer (438). 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 (193) are outnumbered by mid-level (4,500) and senior (3,455) 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 1,505 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (568 positions), with 9,010 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 $213,400. Top-quartile roles start at $264,230, and the 90th percentile reaches $319,400. 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 $253,100 median, while Prompt Engineer roles sit at $141,440. 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 (1,605 postings), Aws (916 postings), Azure (724 postings), Rag (634 postings), Gcp (522 postings), Pytorch (495 postings), Kubernetes (384 postings), Claude (383 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
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