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, financial close, ERP systems, or finance transformation programs

• Background in consulting or professional services delivery

• Experience with the commercial dimension of AI products—thinking about adoption, product-market fit, and client value capture, not just delivery

• Demonstrated ability to translate messy, ambiguous business problems into clear engineering requirements

• Experience working directly with engineers on AI/ML or data-intensive products

• Strong written communication skills, you can write a tight PRD, user story, or functional spec (and you can do it fast)

• Comfort with iterative, sprint-based delivery under real time pressure. The world is changing around us, and you’ll drive our products as an agent of change.

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment—not because they cut corners. They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

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 experienced AI Engineers to join 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 will design and build the AI systems that power client engagements: agentic workflows, RAG pipelines, evaluation frameworks, and production-grade tools that operate in real PE environments. You’ll work directly with clients and cross-functional pod teammates from day one, and you will be expected to ship fast, defend your decisions, and continuously raise the bar on what AI-assisted delivery looks like.

This is a highly technical, hands-on role. We move at sprint pace—not quarter pace. If you want to move quickly, own outcomes end-to-end, and build things that matter in finance, this is the role.

What You’ll Do

• Design and build multi-agent systems and RAG pipelines that automate financial workflows for PE-backed portfolio companies

• Own the full stack from prompt engineering and tool design through deployment and monitoring

• Practice eval-driven development: define how success is measured before you build

• Translate ambiguous client problems into engineering requirements and deliver results in compressed timeframes

• Present and defend architectural decisions to technical and non-technical audiences—including CFOs and PE operators

• Build observability and evaluation infrastructure to continuously improve production AI system quality

• Travel to client site as needed

Success in the First 6 Months

• Work with like-mined AI engineers to ship at least one end-to-end agentic solution in a client engagement, from scoping through production

• Establish evaluation infrastructure for your pod’s systems so that quality is measurable and regressions are caught early

• Demonstrate materially faster delivery cycles because of how you use AI tools—not just that you use them

• Build a reputation within the pod and with clients as someone who can be handed a hard problem and trusted to return a working, defensible solution

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

• 3–8+ years of software engineering experience with a notable portion in AI/ML systems, agent development, or applied LLM engineering

• Hands-on experience building production LLM applications: RAG systems, agentic workflows, tool use, multi-agent orchestration

• Proficiency in Python; experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks

• Strong grasp of evaluation methodologies: designing evals, catching regressions, assessing LLM output quality

• Solid data engineering fundamentals: ETL design, SQL/NoSQL, vector databases, streaming or batch pipelines

Nice to Have

• Open-source contributions in the AI/ML space

• Finance or PE domain experience: FP&A, GL data, ERP systems (NetSuite, SAP), or financial workflow automation

• Experience building tools for reuse across multiple clients or in multi-tenant architectures

• Prior experience in consulting, professional services, or client-facing delivery environments

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment—not because they cut corners. They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

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