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About This Role
Work with a Top 20 CPA and advisory firm that Accounts for Anything. Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio.
Position Responsibilities:
Portfolio Ownership & Delivery:
- Own the product vision, roadmap, and delivery outcomes for a portfolio of AI platforms spanning multiple Aprio business lines.
- Serve as the individual-contributor product owner for select projects, directly managing product backlogs from discovery through release.
- Translate business needs into clear epics, features, user stories, acceptance criteria, and release plans; maintain backlog quality, sequencing, and readiness for development.
- Lead backlog refinement and sprint planning for assigned projects, make day-to-day scope and priority decisions, partner closely with engineering and quality assurance, and accept completed work against defined requirements.
- Set the delivery standards the team works to, covering intake, scoping, sprint cadence, QA gates, and release readiness, and hold concurrent workstreams to them.
- Make and defend prioritization tradeoffs across the portfolio, balancing near-term practice demand against long-term platform scalability and maintainability.
- Manage onshore and offshore development partners on scope, capacity, quality, and escalation, holding vendors to committed outcomes.
- Own budget input, consumption and licensing forecasts, and the business case for new platform investment.
People Leadership & Development:
- Lead, coach, and develop a team of AI product owners and associates, including onboarding, goal setting, and day-to-day unblocking.
- Hold a consistent 1:1 cadence, set clear performance expectations, give candid feedback in the moment, and run mid-year and annual performance reviews.
- Build individual development plans that grow real product craft: discovery, written communication, prioritization, stakeholder influence, and AI fluency.
- Create and protect the team's operating rhythm, including backlog reviews, demos, retrospectives, and shared documentation standards.
- Partner with talent acquisition to define roles, screen candidates, and run structured interviews as the team grows.
- Build bench strength and succession coverage for every critical platform so no product depends on a single person.
Stakeholder Engagement & Influence:
- Serve as the senior point of contact for assigned platforms with practice leaders, partners, and firm leadership.
- Facilitate requirements-gathering and prioritization sessions with subject matter experts, turning competing asks into a defensible sequence.
- Communicate status, risk, and tradeoffs to executive audiences including the AI Council, escalating early and with options rather than problems alone.
- Drive adoption and change management through enablement, training, and feedback loops that turn a release into actual usage.
AI & Innovation:
- Set the direction for applying generative AI to professional services, including LLMs, document intelligence, agentic workflows, and structured output generation.
- Evaluate and select AI models, APIs, and tooling (e.g., Anthropic Claude, OpenAI, Azure AI), and define the reusable patterns the team applies across platforms.
- Own responsible AI practices for the portfolio in partnership with Risk, Legal, and IT Security, including data privacy, data residency, and client confidentiality (e.g., §7216 consent where applicable).
- Define and track the measures that prove platform value: adoption, cycle-time reduction, accuracy and quality benchmarks, and realization impact.
Qualifications:
Required:
- 8+ years in product management, technology, operations, or consulting, including at least 4 years owning multi-stakeholder product initiatives end-to-end.
- 2+ years leading people with accountability for their output, performance, and growth. Direct reports preferred; sustained formal team leadership considered.
- Demonstrated ability to operate as a player-coach, balancing people leadership and portfolio oversight with direct individual-contributor ownership of product delivery.
- Strong, hands-on product management fundamentals applied across concurrent products, including direct backlog ownership, writing and refining epics and user stories, defining acceptance criteria, sprint planning, acceptance testing, and release coordination.
- Track record managing software development resources, including offshore or contract developers, against scope, budget, and quality.
- Hands-on familiarity with generative-AI tools and platforms, including prompting and testing of AI APIs.
- Excellent written and verbal communication, with the presence to hold a room of partners and executives and the discipline to write clearly for technical and non-technical readers.
- Ability to learn new domains quickly and translate complex professional-services workflows into product requirements.
Preferred:
- Experience in public accounting or professional services.
- Experience scaling a product team or function from early stage to steady state.
- Exposure to agentic AI workflows, RAG architectures, or LLM integration patterns.
- Familiarity with the Microsoft 365 ecosystem (SharePoint, Teams, Power Platform).
- Familiarity with relevant domain software ecosystems (e.g., for tax: CCH Axcess, GoSystems, TaxCaddy).
The salary range for this opportunity is stated above. As such, an actual salary may fall closer to one or the other end of the range, and in certain circumstances, may wind up being outside of the listed salary range. The application window is anticipated to close on October 19, 2026, and may be extended as needed. Why work for Aprio: Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm.
Perks/Benefits we offer for full-time team members:
- Medical, Dental, and Vision Insurance on the first day of employment
- Flexible Spending Account and Dependent Care Account
- 401k with Profit Sharing
- 9+ holidays and discretionary time off structure
- Parental Leave – coverage for both primary and secondary caregivers
- Tuition Assistance Program and CPA support program with cash incentive upon completion
- Discretionary incentive compensation based on firm, group and individual performance
- Incentive compensation related to origination of new client sales
- Top rated wellness program
- Flexible working environment including remote and hybrid options
What’s in it for you:
- Working with an industry leader: Be part of a high-growth firm that is passionate for what’s next.
- An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience. We call it the Aprio Way. This shared mindset creates lasting relationships between team members and with clients.
- A great team: Work with a high-energy, passionate, caring and ambitious team of professionals in a collaborative culture.
- Entrepreneurship: Have the freedom to innovate and bring your ideas to help us grow to become the CPA firm of choice nationally.
- Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement.
- Competitive compensation: You will be rewarded with competitive compensation, industry-leading benefits and a flexible work environment to enjoy work/life balance.
EQUAL OPPORTUNITY EMPLOYER Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law.
Aprio, LLP and Aprio Advisory Group, LLC, operate in an alternative business structure, with Aprio Advisory Group, LLC providing non-attest tax and consulting services, and Aprio, LLP providing CPA firm services.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Salary Context
This $140K-$201K range is below the median for AI Product Manager roles in our dataset (median: $193K across 99 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 9,653 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Aprio, 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 $220,200 based on 862 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($170K) sits 23% below the category median. Disclosed range: $140K to $201K.
Across all AI roles, the market median is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,275; VP: $235,000.
Aprio AI Hiring
Aprio has 1 open AI role right now. They're hiring across AI Product Manager. Based in Atlanta, GA, US. Compensation range: $201K - $201K.
Location Context
Across all AI roles, 6% (568 positions) offer remote work, while 9,010 require on-site attendance. Top AI hiring metros: New York (2,878 roles, $221,000 median); San Francisco (2,413 roles, $264,500 median); Los Angeles (1,340 roles, $210,000 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 9,653 open positions tracked in our dataset. By seniority: 193 entry-level, 4,500 mid-level, 3,455 senior, and 1,505 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (568 positions). The remaining 9,010 roles require on-site or hybrid attendance.
The market median for AI roles is $213,400. Top-quartile compensation starts at $264,230. The 90th percentile reaches $319,400. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 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 9,653 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (7,301), Data Scientist (441), AI Software Engineer (438). 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 (193) are outnumbered by mid-level (4,500) and senior (3,455) 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 1,505 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (568 positions), with 9,010 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 $213,400. Top-quartile roles start at $264,230, and the 90th percentile reaches $319,400. 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 $253,100 median, while Prompt Engineer roles sit at $141,440. 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 (1,605 postings), Aws (916 postings), Azure (724 postings), Rag (634 postings), Gcp (522 postings), Pytorch (495 postings), Kubernetes (384 postings), Claude (383 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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