Interested in this AI Product Manager role at SAS?
Apply Now →About This Role
:
CI360 AI \& Agentic AI Product Manager \- Hybrid \| Cary, North Carolina
We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence \- and questions into answers.
If you're looking for a dynamic, fulfilling career with flexibility and a world\-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more. About the job
We are seeking a CI360 AI \& Agentic AI Product Manager to define and lead the agentic AI strategy for CI360, with a focus on making marketers more efficient and effective across the full marketing lifecycle. This role will shape how AI agents, multi\-agent workflows, and MCP\-enabled capabilities can support marketers from audience creation and customer journey design through to insight generation, campaign execution, and performance optimization.
The successful candidate will identify high\-value AI and agentic use cases within CI360, translate customer and market needs into product strategy, and work closely with other product managers, engineering, data science, UX, architecture, and go\-to\-market teams to deliver differentiated capabilities that improve marketer productivity, decision quality, and campaign outcomes.
This role is critical to evolving CI360 into an AI\-enabled marketing platform that helps customers reduce manual effort, accelerate campaign creation, improve personalization, and continuously optimize marketing performance.
As an AI \& Agentic AI Product Manager, you will:
- Define the CI360 agentic AI product strategy across MCP, AI assistants, autonomous workflows, and multi\-agent concepts that support the end\-to\-end marketing lifecycle.
- Develop product requirements and roadmap priorities for agentic AI capabilities grounded in customer needs, market trends, business impact, and technical feasibility.
- Lead product discovery with customers, marketers, sales, customer advisory teams, and internal stakeholders to understand pain points, use cases, adoption barriers, and measurable outcomes. Utilize rapid prototyping techniques to validate ideas and drive adoption of AI and Agentic AI solutions that improve marketer productivity and business outcomes.
- Ensure AI capabilities are trustworthy, explainable, governed, and aligned with enterprise expectations, including transparency, human\-in\-the\-loop controls, auditability, and responsible AI principles.
- Define success measures for AI and agentic features, including marketer productivity gains, campaign cycle\-time reduction, recommendation adoption, customer satisfaction, usage, and business impact.
Required Qualifications
- 5\+ years of experience in product management experience in a SaaS, marketing technology, customer intelligence, analytics, AI, or enterprise software environment.
- Experience with AI, generative AI, agentic AI, AI assistants, orchestration patterns, or multi\-agent concepts.
- Strong customer discovery skills, with the ability to validate customer pain points and prioritize capabilities based on value, feasibility, and strategic fit.
- Ability to translate ambiguous AI and agentic concepts into clear product requirements, user experiences, and delivery priorities.
- You’re curious, passionate, authentic and accountable. These are our values and influence everything we do.
Preferred Qualifications
- Strong understanding of marketing workflows, including audience management, segmentation, journey orchestration, campaign execution decisioning, insight generation, and performance optimization.
- Familiarity with MCP, AI agents, tool\-calling architectures, multi\-agent orchestration, or enterprise AI integration patterns.
- Understanding of responsible AI, model governance, explainability, privacy, and enterprise trust requirements.
- Experience bringing early\-stage or emerging technology concepts from discovery through productization.
- Strong presentation skills, particularly to external audiences
World\-class benefits
Highlights include...* Comprehensive medical, prescription, dental and vision plans.
- Medical plan options include:
+ PPO with low annual deductible and copays.
+ HDHP combined with a health savings account with a contribution from SAS (no access to on\-site health care center).
- Onsite Health Care Center (HQ) that’s free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
- An industry\-leading 401k plan.
- Tuition Assistance Program and programs and resources to support your development
- Generous time away including vacation time, a variety of paid holidays, and our much\-loved U.S. Winter Wellness Break between December 25 and January 1\.
- Volunteer Time Off, parental leave and unlimited paid sick days.
- Generous childcare benefits for all full\-time employees.
You are welcome here.
At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Additional Information:
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process. *SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact* *[email protected].*
Let's stay in touch! Join our Talent Community to stay up to date on company news, job updates and more.
\#SAS
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 SAS, 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. Mid-level AI roles across all categories have a median of $200,000.
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.
SAS AI Hiring
SAS has 1 open AI role right now. They're hiring across AI Product Manager. Based in Cary, NC, 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
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.