Product Manager, Commercial AI Solutions
Listed on 2026-06-27
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IT/Tech
AI Engineer (Applied/Software), Data Analyst
Commercial Solutions Product Manager
Our Commercial Solutions team is at the forefront of transforming how enterprise clients leverage AI and data analytics to drive business growth. We're a collaborative, innovation-driven team that values technical excellence and customer-centric thinking, working closely with cutting-edge technologies including Salesforce AI advancements and cloud-based machine learning platforms. As pioneers in the commercial technology space, we're passionate about delivering solutions that not only meet today's business challenges but anticipate tomorrow's opportunities.
Responsibilities and Impact:
- Drive product strategy and roadmap for AI-powered solutions that integrate seamlessly with enterprise platforms such as Salesforce to enhance client business processes
- Collaborate with engineering, data science, and sales teams to translate complex market requirements into actionable product features that drive measurable client outcomes
- Manage product lifecycle including go-to-market strategy, pricing models, and performance metrics for AI solutions in enterprise environments
- Serve as the voice of the customer, gathering feedback and insights to continuously improve product offerings and user experience
Compensation/Benefits Information:
S&P Global states that the anticipated base salary range for this position is $68,000 to $95,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits.
What We're Looking For:
Basic
Required Qualifications:
- Bachelor's degree in Business, Engineering, Computer Science, or related field, or equivalent professional experience
- 2 to 3 years of product management experience within Agile development processes, preferred in Salesforce or other CRM Platforms
- Previous experience implementing agentic AI solutions
- Strong analytical skills with experience in data-driven decision making and product metrics analysis
- Proven ability to work with global teams and demonstrate strong communication skills in cross-cultural environments
- Experience managing technical products with understanding of software development lifecycle and agile methodologies
Additional
Preferred Qualifications:
- Advanced degree (MBA, MS in Data Science, or related field) with experience in B2B SaaS or enterprise software environments
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, particularly with AI/ML services and APIs
- AI/ML certifications such as AWS Machine Learning Specialty, Google Cloud Professional ML Engineer, or Microsoft Azure AI Engineer Associate
- Understanding of the Salesforce ecosystem and AI advancements within CRM platforms, including experience with Salesforce Einstein, AI-powered lead scoring, or similar CRM intelligence tools
- Previous experience in financial services, data analytics, or business intelligence industries with understanding of enterprise customer needs
Right to Work Requirements:
This role is limited to persons with indefinite right to work in the United States.
About S&P Global Market Intelligence:
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit
What's In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it.
We are changing the way people…
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