Interested in this AI Product Manager role at Veralto?
Apply Now →About This Role
A newly created, highly visible role with a multi\-$B global group of market\-leading technology businesses, overseeing enterprise\-level ERP programs, developing PMO, governance and frameworks, and driving impactful agentic AI initiatives. If this sounds like your kind of challenge, read on.
The Opportunity
Veralto (www.veralto.com / NYSE: VLTO) is a $5\.5B annual sales revenue global leader in essential technology solutions, comprising a portfolio of 14 international businesses. We’re big enough to offer real resources and global reach and focused enough that what you do here genuinely matters.
The Director, Enterprise Strategic Programs is remotely based in Chicago, Colorado or Boston (proximity to key sites) with some occasional travel. The jobholder reports directly to the Group Chief Information Officer and will 1\) oversee, influence, and drive execution of large\-scale strategic initiatives across Veralto’s Operating Companies, including high\-impact, global ERP \& digital transformation programs. 2\) Build PMO, governance, structure and frameworks that ensure programs are delivered on time, on budget, and aligned to business objectives and Veralto Enterprise System (VES), while strengthening execution discipline, and cross\-functional coordination. 3\) Support the development of scalable, organization\-wide frameworks and delivery models for AI, data, and emerging technology initiatives that drive value and positively impact P\&L.
This newly created, highly visible position collaborates widely across an expanding, diverse group of successful technology companies and provides stimulating challenges, personal growth, and the opportunity to build something substantial.
Key Responsibilities:
Enterprise Program Leadership \& Strategic Execution
- Partner with operating company leadership to oversee execution of enterprise\-wide strategic initiatives and transformation programs
- Ensure programs remain on track across scope, timeline, budget, risks, and business outcomes
- Establish governance structures, reporting cadences, and escalation mechanisms
- Provide visibility into program health, risks, and execution performance
- Drive cross\-functional alignment across business, IT, operations, and external partners
Consulting Firm \& Service Provider Oversight
- Partner with consulting firms, SIs, and service providers supporting enterprise initiatives
- Ensure external partners deliver against commitments, timelines, budgets, and quality expectations
- Drive accountability, transparency, and measurable outcomes across third\-party engagements
- Support executive review of partner performance and delivery effectiveness
- Coordinate escalation and remediation activities as needed
Federated AI, Data \& Technology Governance Framework
- Support the development of enterprise frameworks for AI, data, and technology initiatives
- Establish intake, prioritization, and governance processes for enterprise initiatives
- Create visibility into AI, data, and strategic initiatives across operating companies
- Help catalog and organize enterprise efforts to reduce duplication and identify scalable opportunities
- Partner with business and technology leaders to identify high\-value opportunities and ensure execution oversight
Executive Communication \& Organizational Alignment
- Develop executive\-level reporting, dashboards, and strategic updates
- Prepare leadership presentations and governance materials for senior stakeholders
- Communicate program health, risks, and recommendations with clarity and transparency
- Drive alignment across stakeholders with competing priorities
- Support KPI development and operational reporting frameworks
The essential requirements of the job include:
- 10\+ years of experience leading complex, cross\-functional programs (i.e., global ERP spanning IT, Operations, Finance etc) or enterprise\-wide transformation initiatives, across large, decentralized or multi\-business\-unit organizations
- Demonstrated experience establishing program governance frameworks, PMO, reporting structures, and execution cadences
- Experience managing large\-scale programs involving external large\-scale consulting firms or systems integrators
- Executive level communication, partnering across multiple businesses, strong diplomacy and influencing skills. Proven ability to drive execution and accountability across stakeholders without direct authority
- Comfortable working in a fast\-evolving environment and dealing with ambiguity
- Experience of driving enterprise agentic AI adoption with positive P\&L impact is advantageous
- Resides in Chicago, Colorado, or Boston and able to undertake 10\-20% travel
- Bachelor’s degree or equivalent experience
About Veralto
With annual sales of $5\.5 billion and over 17,000 associates around the world, Veralto is a global leader in essential technology solutions with a proven track record of solving some of the most complex challenges we face as a society. Our industry\-leading companies with globally recognized brands are building on a long\-established legacy of innovation and customer trust to create a safer, cleaner, more vibrant future.
Veralto’s Water Quality companies manage, treat, purify, and protect the global water supply, from municipal and wastewater treatment facilities to lakes, rivers, watersheds, and oceans. And our Product Quality \& Innovation companies protect the world’s food, medicine, and essentials by tracking and authenticating the billions of goods that travel the global supply chain every day. Veralto is headquartered in Waltham, Massachusetts, with 300\+ locations worldwide.
*The salary range for this role is $200k \- $230k. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. This job is also eligible for bonus pay.*
US ONLY:
The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An associate’s position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue\-based metrics, any collective bargaining agreements, and business or organizational needs.
The compensation range for this role is $200,000 \- $230,000 USD per year. This job is also eligible for Bonus Pay.
We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
US residents: In any materials you submit, you may redact or remove age\-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Veralto Corporation and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
The EEO posters are available here.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] to request accommodation.
Unsolicited Assistance
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies, in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.
Salary Context
This $200K-$230K range is above the median for AI Product Manager roles in our dataset (median: $188K across 140 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 3,708 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Veralto, 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 $216,175 based on 270 positions with disclosed compensation. Director-level AI roles across all categories have a median of $272,150. Disclosed range: $200K to $230K.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Veralto AI Hiring
Veralto has 1 open AI role right now. They're hiring across AI Product Manager. Based in Chicago, IL, US. Compensation range: $230K - $230K.
Location Context
AI roles in Chicago pay a median of $205,100 across 97 tracked positions. That's 6% below 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 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 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 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). 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 (102) are outnumbered by mid-level (1,705) and senior (1,469) 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 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 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 $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. 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 $300,000 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 (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 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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