AI Product Manager

Company Overview We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value where we support the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Data & Analytics Accordion’s Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About The Role We’re looking for an AI Product Manager to join one of Accordion’s new AI-augmented delivery pods—purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you are the translation layer between client problems and AI system design. You don’t manage Jira tickets, you shape what gets built and why. You’ll run discovery sessions, write tight requirements, and keep sprints moving at a pace that only works if you’re using AI to think faster, write better, and communicate more clearly.

We move at sprint pace, not quarter pace. If you want to own outcomes end-to-end, work directly with PE clients, and build things that matter in finance, this is the role.

What You’ll Do

• Interface with executive clients, garner trust in our services, and fill in your own knowledge gaps in real time.
• Translate ambiguous client problems into clear engineering requirements: PRDs, user stories and functional specs (and do it fast)
• Run client discovery sessions and earn trust quickly, including with CFOs and PE operators
• Own sprint planning and delivery coordination across your pod’s AI engineers and data scientists
• Define success criteria and KPIs for AI-powered features before they are built, not after
• Identify and communicate when an AI system isn’t performing reliably; bridge the gap between technical diagnosis and client-facing communication
• Use AI tools for 50%+ of your written output: requirements, stakeholder communications, research, and sprint planning
• Travel to client site as needed

Success in the First 6 Months

• Lead requirements and delivery coordination for at least one end-to-end AI engagement, from discovery through production
• Establish a reputation with your pod and with clients as someone who can run a room, write a tight PRD, and hold a sprint together
• Demonstrate materially faster output because of how you use AI tools, not just that you use them
• Show that you understand AI system behavior well enough to write requirements that aren’t naive about what LLMs can and can’t do

What You’ll Bring

• AI tools are woven into how you work daily, you are materially faster because of it, and you can demonstrate that concretely
• 3–6+ years of PM or delivery management experience in a technical or AI product context
• PE or finance domain experience: FP&A, fi…