Interested in this AI Product Manager role at Success Academy Charter Schools?
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About This Role
Thanks for your interest in Success Academy! Running a large, fast\-growing, and high\-performing network of public charter schools takes a village \- families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole\-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential.
Success Academy Charter Schools is seeking an experienced Senior AI Product Manager to drive the adoption and deployment of artificial intelligence tools across our organization. This is a high\-impact, cross\-functional role that sits at the intersection of technology, education, and operations. You will serve as the primary champion for AI literacy and capability\-building at SA, partnering with teams throughout the network to identify opportunities, launch AI\-powered projects, and upskill staff to work confidently with emerging tools. We are building toward becoming the first AI\-native K–12 enterprise in the country, transforming every workflow, from classroom content to legal contracts to college counseling, into an AI\-first process. The person in this role will be at the center of that transformation.
What You'll Do:
AI Training \& Enablement
- Design and deliver hands\-on training programs to equip teams across SA with the AI skills and workflows they need to do their jobs better and faster.
- Develop practical guides, playbooks, and resources that demystify AI tools for a non\-technical audience.
- Build a community of AI champions within SA's departments, fostering a culture of experimentation and continuous learning.
- Stay current on the latest AI developments and translate them into actionable opportunities for the organization.
AI Project Deployment
- Partner with department leaders to identify, scope, and prioritize AI integration opportunities across academic, operational, and administrative functions.
- Own end\-to\-end project management for AI deployments — from requirements gathering and vendor evaluation through implementation, testing, and rollout.
- Manage relationships with AI tool vendors and external partners, ensuring deliverables meet SA's quality and compliance standards.
- Define success metrics for each AI initiative and track outcomes, sharing learnings with senior leadership on a regular cadence.
- Collaborate with IT, data, legal, and compliance teams to ensure responsible, secure, and equitable AI adoption.
Required Qualifications
- 5\+ years of experience in project management, technology implementation, AI engineering, or a related field with 1\-2 years of direct people management experience.
- Demonstrated fluency with modern AI tools and platforms, with hands\-on experience using Claude (Anthropic) and OpenAI products in a professional setting.
- Proven track record of managing complex, cross\-functional projects from inception through successful delivery.
- Strong communication and facilitation skills — able to translate technical concepts for diverse audiences and inspire confidence in AI adoption.
- Comfort working in fast\-moving, ambiguous environments where priorities evolve, and creative problem\-solving is essential.
- Must be based in New York City and available to work in the office on Tuesday, Wednesday, and Thursday each week.
Preferred Qualifications
- Familiarity with agentic AI frameworks and comfort building or overseeing agent workflows.
- Experience with rapid app development platforms such as Lovable, Replit, or similar AI\-assisted build tools.
- Knowledge of AI governance, data privacy considerations, and responsible AI principles.
Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth.
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We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth.
*Success Academy Charter Schools does not offer employment\-based immigration sponsorship.*
Salary Context
This $185K-$200K range is above the median for AI Product Manager roles in our dataset (median: $189K across 161 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 3,823 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Success Academy Charter Schools, 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 $213,800 based on 583 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($192K) sits 10% below the category median. Disclosed range: $185K to $200K.
Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.
Success Academy Charter Schools AI Hiring
Success Academy Charter Schools has 2 open AI roles right now. They're hiring across Data Scientist, AI Product Manager. Based in New York, NY, US. Compensation range: $200K - $200K.
Location Context
AI roles in New York pay a median of $211,000 across 2,643 tracked positions. That's 5% above the national 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 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.
The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 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 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). 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 (112) are outnumbered by mid-level (1,798) and senior (1,516) 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 397 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 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 $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. 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 Engineering Manager roles lead at $275,000 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 (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 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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