Interested in this AI Product Manager role at Boston Consulting Group?
Apply Now →Skills & Technologies
About This Role
Locations: Boston | Brooklyn | Chicago | Dallas | Los Angeles | Miami | New York | Pittsburgh | San Francisco | Seattle | Manhattan Beach
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
We Are BCG X
We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
What You'll Do
BCG continues to expand its Marketing, Sales & Pricing practice and is experiencing increasing demand, particularly in the areas of B2B Sales. We are thrilled to expand our breadth and depth of expertise in this space, especially in Sales and Customer Success technology, CRM Sales Cloud & Service Cloud implementation, and familiarity with B2B Sales, Support and Customer Success best practices.
We are currently looking for a Product Owner at the Associate/Senior level who is familiar operating with Salesforce Sales Cloud, Service Cloud, Experience Cloud, and/or Revenue Cloud. Ideal candidates will have experience as a product owner delivering solutions in the areas pertaining to B2B Sales including Campaign to Cash, and Sales Enablement, Sales Automation / Customer Success via relevant Sales Technologies (e.g.Salesforce, Dynamics, SalesLoft, etc.), BI, Analytic & Recommendation Technologies (e.g. , Tableau, PowerBI, CRM Analytics, Python), understanding of core B2B Sales Models and Digital Engagement Channels (e.g. Email, eCommerce, Virtual, etc.). Candidates should also have experience engaging with, and driving consensus across, business and IT stakeholders.
What You'll Do
In this role you will:
- Be the authority within a multi-disciplinary team to determine the optimal strategy to identify highest value use cases to unlock GTM across Marketing, Sales, and Service
- Lead roadmap creation, strategy, execution, and optimization for clients around digital transformation with SFDC as a platform
- Own multi-channel growth strategy based on marketing, sales, pricing, and digital self-service
- Define, execute, analyze, and optimize sophisticated Salesforce technical use case focused on pilot to scale mapping to quantitative impact
- Collaborate with X and core leadership to drive execution and implementation of identified use cases and roadmap
- Be value oriented by defining and validating core KPIs that will be achieved through execution of the SFDC strategy and roadmap such as customer acquisition, retention, share of wallet, win rate, ROI etc. to drive the business
- Build on BCG’s differentiation by building truly unique capabilities around media, technology, customer journey, and Growth operating models
- Be agile and iterative in your approach, and relentless in your search for the next unexploited growth opportunity
What You'll Bring
You should have:
- 2 - 6 years of professional experience in industry, consulting, or a relevant functional role
- Experience with Salesforce as well as other GTM tools like Marketo, Eloqua, or similar platforms
- Expert knowledge of CRM adjacent tools like 3rd party applications, managed packages, and expert in navigating PPT and Excel
- Proven ability to evaluate business and technical trade-offs (effort vs. value), resolve conflicts, and make critical choices on functionality, user experience, and technical implementation to maximize value and meet business objectives
- Experience collaborating with cross-functional stakeholders to establish a clear vision and strategy for the CRM modernization project and to collect and prioritize requirements
- Experience defining business goals, user needs, and market demands to define a product’s direction
- Experience collaborating with development teams, serving as the primary point of contact between business stakeholders and the technical teams
- A passion for B2B sales, marketing, service, driving customer adoption, bringing products to market, and scaling digital products and services
- Understanding of business outcomes and associated KPIs that will be impacted by product features in order to contribute to overall program value case
- Ability to think strategically and creatively: analyze, synthesize, recommend and take actions
- Previous sales, marketing, or service delivery experience focused on user acquisition, retention and other growth levers proliferating B2B facing digital products and services
- Expert communication, presentation, and material preparation skills required
- Previous experience at a professional consulting company highly desired
Please note: any degree programs (including part-time) must be completed before starting at BCG.
You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites.
Additional info
FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
The first-year base compensation for this role is:
Associate: $139,500-$155,000 USD
Senior: $200,000 USD
At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees – and their eligible family members. * That’s zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage:
- Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children
- Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs
- Dental coverage, including up to $5,000 in orthodontia benefits
- Vision insurance with coverage for both glasses and contact lenses annually
- Reimbursement for gym memberships and other fitness activities
- Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan
- Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement
- Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month)
- Paid sick time on an as needed basis
- Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage.
#BCGXJob
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
Salary Context
This $139K-$200K range is below the median 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 Boston Consulting Group, 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
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. Senior-level AI roles across all categories have a median of $228,700. This role's midpoint ($169K) sits 23% below the category median. Disclosed range: $139K to $200K.
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.
Boston Consulting Group AI Hiring
Boston Consulting Group has 3 open AI roles right now. They're hiring across AI Product Manager, AI/ML Engineer. Positions span New York, NY, US, Brooklyn, NY, US, Summit, NJ, US. Compensation range: $190K - $200K.
Location Context
AI roles in New York pay a median of $221,000 across 2,878 tracked positions. That's 4% 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 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
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.