Interested in this AI Product Manager role at Honeywell?
Apply Now →About This Role
As Senior Director, Program Management Office (PMO) \& Engagement Leader \- Forge \& AI at Honeywell Technologies, you will lead the execution backbone for one of Honeywell’s most visible technology investments, helping Forge \& AI convert strategic AI and software investment into measurable business outcomes at speed and scale.
You will serve as an execution architect and lead an exceptional PMO function and drive a software strategy, ensuring alignment with Forge growth objectives and coordinating product delivery and engineering investments. This is a high\-visibility seat. You will be in the room for portfolio decisions that shape how AI initiatives move from pilot to enterprise scale, and your judgment on prioritization and risk will directly influence what Forge \& AI delivers.
You will report directly to the VP Chief Technology Officer – Forge \& AI and work out of our Atlanta, GA location on a hybrid work schedule.
YOU MUST HAVE
- 12\+ years in program/portfolio leadership, including experience building a PMO function in a matrixed global organization
- Direct experience delivering complex technology or AI/software platform programs, with an understanding of the AI lifecycle from concept to production, not just project plans
- A track record of influencing senior technical leaders who don't default to deferring to process
- Demonstrated comfort holding both rigor and speed in tension, knowing when governance accelerates or hinders delivery
Familiarity with Agile/SAFe and modern delivery models, adapting frameworks to the organization not the other way around
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WE VALUE
- Ability to navigate a complex global matrix and work cross\-functionally
- Executive communication and presence with the ability to partner with and influence multiple stakeholders
Experience operating across US and India delivery models
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BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading\-edge work, and developing solutions side\-by\-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short\-Term and Long\-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information: Click Here
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.
*Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and engagement:* *Click Here*
KEY RESPONSIBILITIES
Build the Function
- Continue to stand up a centralized PMO operating model, including governance cadence, portfolio reporting, and stage\-gate discipline calibrated to accelerate, not hinder, AI and software delivery.
- Design for a fast\-moving technology organization, not a traditional heavyweight enterprise PMO.
Define and Execute the Software Growth Strategy
- Establish the software strategy required to drive recurring growth (ARR), including the deployment of policies, processes, and governance that enable effective Product and Commercialization (PAC) execution across business sites as part of the NPI lifecycle.
- Ensure software products and technology\-forward innovations are successfully executed, scaled, and deployed to customer sites.
Serve as Forge’s Business Engagement Leader
- Act as the single point of contact for all software engagement across the Strategic Business Groups (SBGs), aligning business priorities with execution and delivery while ensuring consistent stakeholder engagement and accountability across the portfolio.
Run the Portfolio
- Own end\-to\-end governance across AI platforms, software products, product releases, and transformation initiatives, including resourcing trade\-offs, dependency management, risk escalation, and executive portfolio reviews that drive actionable decisions.
- Lead the Forge Program Management team to deliver strategic commitments, establish operational focus and clarity (FOC), and enable successful execution across the organization.
Scale AI and Software From Concept to Production
- Partner directly with engineering, data, product, and business leaders to create delivery frameworks that move AI and software initiatives from proof\-of\-concept to enterprise\-scale deployment.
- Embed responsible AI, software governance, and commercialization standards from inception through deployment.
- Ensure critical strategic software partnerships are effectively planned, managed, and executed to achieve targeted business outcomes.
Own the Numbers
- Drive benefits realization, ARR growth objectives, and ROI accountability across the portfolio.
- Partner with Finance and business leaders to ensure every initiative is tied to measurable outcomes, including revenue growth, productivity gains, customer impact, and software adoption.
- Ensure Forge AOP planning and execution are rigorously managed and supported through appropriate EOPS activities and operational rhythms.
Build Trusted Advisor Relationships
- Serve as a strategic advisor to VP/SVP\-level leaders, including the CTO and President of Forge \& AI, providing objective insight on execution health, risks, and investment priorities.
- Influence outcomes across a complex global matrix where credibility, judgment, and business acumen are as important as process excellence.
Build the Team
- Hire, develop, and scale a high\-performing PMO organization, including Directors and Program Managers, with defined career paths, capability frameworks, and best practices in program management, software delivery, AI execution, and business transformation.
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
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 Honeywell, 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.
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.
Honeywell AI Hiring
Honeywell has 3 open AI roles right now. They're hiring across AI Product Manager, AI/ML Engineer. Based in Atlanta, GA, US.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 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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