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About This Role
Overview: About Suffolk
Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self\-perform construction, and technology start\-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.
Suffolk – America’s Contractor – is a national company with more than $9 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked \#8 on ENR’s list of “Top CM\-at\-Risk Contractors.” For more information, visit www.suffolk.com and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.
At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That’s why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.
Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short\- and long\-term disability, commuter benefits and more. For more information, click here. Role Summary
The Product Manager, AI will lead the definition and delivery of AI solutions that transform Suffolk’s core business functions, including Finance, HR, Legal, Marketing and others. This role bridges functional expertise and technical execution—partnering with business leaders to identify opportunities, shaping requirements into scalable AI solutions, and ensuring adoption that delivers measurable value. The Product Manager will collaborate closely with engineers, and data teams to design, pilot, and scale solutions, while maintaining clear visibility into ROI and impact for leadership. Success in this role requires strong product management discipline, applied AI expertise, and the ability to translate complex technical concepts into business outcomes.
Responsibilities:
Product Management \& Business Partnership* Lead discovery and scoping sessions with business stakeholders across corporate functions (Finance, HR, Marketing, etc.) to identify high\-value AI opportunities.
- Build strong relationships with functional leaders to understand workflows, pain points, and success measures.
- Translate business requirements into clear technical requirements that guide design, engineering, and vendor evaluation.
- Drive user experience design by ensuring solutions are intuitive, accessible, and aligned with employee needs.
- Prepare clear documentation of requirements, workflows, and decision rationale to support transparent delivery.
- Lead Agile sprint planning, backlog grooming, and retrospectives to ensure timely and high\-quality delivery of product features in collaboration with cross\-functional teams.
AI Solution Design \& Delivery Support* Partner with engineers to shape solution approaches, balancing build/buy/partner considerations.
- Contribute to solution architecture discussions, ensuring designs are scalable, secure, and compliant with Suffolk standards.
- Collaborate closely with delivery teams to validate functionality against requirements, proactively evaluate feature effectiveness and accuracy, and resolve scope or design ambiguities to ensure product quality and alignment with user needs.
- Support testing, pilot deployment, and adoption efforts, incorporating user feedback into iterative improvements.
- Document and communicate lessons learned, value metrics, and impact stories to demonstrate business outcomes.
Value \& Impact Measurement* Define success metrics and measurable outcomes for each AI initiative in partnership with business stakeholders.
- Work closely with the Data Analytics team to design and maintain value tracking reports and dashboards.
- Monitor adoption, efficiency gains, and ROI, and proactively identify areas for improvement.
- Present value realization updates to leadership, ensuring clear visibility into the business impact of AI solutions.
Qualifications:* At least 8 years of experience in technical product management with a minimum of 2 years in AI related products.
- Bachelor’s and Master’s in Computer Science, Physics, Engineering or associated quantitative fields.
- Have proven experience and knowledge of corporate functions (Finance, HR, Legal, Marketing etc)
- Exceptional facilitation and communication skills—comfortable running discovery sessions, white\-boarding with PMs, and demoing prototypes to senior leaders.
- Demonstrated product\-management mindset: roadmap ownership, KPI definition, and budget/risk trade\-off communication.
- Hands\-on experience leading change initiatives and measuring adoption by teams.
- Strong analytical and problem\-solving skills
- Excellent communication and collaboration skills
- Ability to articulate technical concepts to non\-technical stakeholders
- Deep understanding of AI applications, tools, and methodologies
- Proven ability to apply AI/ML techniques (e.g., NLP, document intelligence, predictive modeling, generative AI) to solve business problems in corporate functions.
- Hands\-on experience with modern AI/ML tools and platforms (e.g., OpenAI, Azure AI, AWS SageMaker, AWS Bedrock or similar).
- Familiarity of the latest trends in AI (e.g., agentic AI, multimodal models, RAG) and ability to evaluate their relevance for Suffolk’s use cases.
- Candidate must possess Suffolk’s Core Values: Passion, Integrity, Hard Work, Professionalism, and Caring
Working Conditions:
While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stand; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.
EEO Statement:
Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.
Compensation Information:
The expected salary range for this position (AI Engineer) in US\-MA\-Boston is between $152,000 and $222,600 USD. This represents the typical salary range for this position and is just one component of Suffolk’s total compensation package. Actual salaries may be based on several factors including, but not limited to, skill set, experience, education and other qualifications. Suffolk offers a comprehensive benefits package as part of its overall compensation strategy. Salary ranges may differ by geography and are reviewed regularly to reflect market trends.
Salary Context
This $152K-$222K range is below the median for AI Product Manager roles in our dataset (median: $189K across 161 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 3,823 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Suffolk Construction, 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 $213,800 based on 583 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,000. This role's midpoint ($187K) sits 12% below the category median. Disclosed range: $152K to $222K.
Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.
Suffolk Construction AI Hiring
Suffolk Construction has 2 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager. Based in Boston, MA, US. Compensation range: $222K - $282K.
Location Context
AI roles in Boston pay a median of $215,350 across 442 tracked positions. That's 8% 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 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.
The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 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 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). 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 (112) are outnumbered by mid-level (1,798) and senior (1,516) 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 397 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 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 $200,100. Top-quartile roles start at $253,500, 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 Engineering Manager roles lead at $275,000 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 (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 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.
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