Interested in this AI Product Manager role at Hello Clever?
Apply Now →About This Role
About Us
Hello Clever is building the next generation of payments and commerce infrastructure by turning every transaction into growth for merchants and clearer value for consumers. We're an AI\-powered fintech operating across 22\+ markets, helping businesses move money in real time and convert payments into measurable outcomes like higher repeat rates, bigger baskets, and smarter customer engagement. Our platform combines local account\-to\-account rails, embedded rewards products, and powerful data intelligence through Clever AI so merchants can launch offers, optimize ROI, and scale faster through a single integration.
We're also proud to be recognized on the global stage, including being named Australia's fastest\-growing fintech, listed in Forbes Asia's Top 100, ranked in the AFR Fastest\-Growing Companies, and selected for Inc. Magazine's Best in Business.
The Role
Unlock your potential with Hello Clever. We're seeking a curious, consumer\-obsessed, and hands\-on Product Manager, Consumer AI \& Growth to shape the Hello Clever app into a more intelligent, rewarding, and trusted consumer product. If you love understanding consumer behavior, experimenting with AI\-powered experiences, and scaling consumer products that create value for both users and merchants, we'd love to hear from you.
As a Product Manager, Consumer AI \& Growth at Hello Clever, you will own product discovery and delivery across the consumer\-facing experience, with a focus on the app, AI\-assisted personalization, consumer engagement, payment confidence, and repeat behavior. You will work closely with Product, Design, Engineering, Data, Growth, Marketing, Customer Success, Support, Risk, Operations, and merchant\-facing teams to make Hello Clever more valuable for consumers while helping merchants drive repeat purchase, customer engagement, and measurable growth.
- Position: Product Manager, Consumer AI \& Growth, full\-time
- Level: Mid to Senior\-level
- Location: New York City, New York
- Working mode: Hybrid
- Reporting to: Head of Product
- Base salary: $150,000 to $200,000 USD per year
Key Responsibilities
- Consumer App Experience: Improve the Hello Clever app journey across onboarding, discovery, payment confidence, reward tracking, account settings, notifications, and post\-purchase engagement.
- Consumer AI \& Personalization: Explore and ship practical AI\-powered experiences that help consumers discover relevant rewards, understand value, build smarter habits, and engage with merchants in timely, useful, and trusted ways.
- Consumer Growth \& Behavior Loops: Design product mechanics that turn one\-off cashback into repeat consumer behavior, stronger merchant relationships, and a clearer value exchange between consumers, Hello Clever, and merchants.
- Product Discovery \& Experimentation: Use qualitative research, behavioral insight, funnel data, support signals, and rapid experiments to identify consumer needs, prioritize opportunities, and validate what drives durable engagement.
- Merchant Value Through Consumer Outcomes: Partner with merchant, growth, and data teams to ensure consumer experiences support merchant objectives such as repeat purchase, conversion, offer performance, customer engagement, and measurable ROI.
- Trust, Risk \& Operational Clarity: Build experiences that make payments, rewards, refunds, eligibility, notifications, and account activity easy to understand while protecting consumer trust, privacy, and regulated fintech expectations.
- Metrics, Launch \& Enablement: Define success metrics and guardrails, monitor adoption and retention, support launches, and create the feedback loops teams need to improve consumer and merchant outcomes over time.
You're a Perfect Fit if You Have
- 5\+ years of experience in product management, growth product, consumer experience, marketplace, fintech, ecommerce, payments, AI product, or a closely related digital product role. Fintech or consumer app experience is preferred.
- Experience working on consumer\-facing mobile or web products, especially onboarding, activation, engagement, retention, rewards, personalization, notifications, wallets, checkout, or marketplace discovery.
- Experience scaling consumer\-facing products in a startup or scale\-up environment, with strong ownership across product strategy, discovery, experimentation, delivery, and iteration.
- Strong product judgment and the ability to turn ambiguous consumer behavior problems into clear goals, trade\-offs, requirements, experiments, and next steps.
- Experience working directly with engineering, design, data, marketing, and go\-to\-market teams to ship product improvements from discovery through delivery.
- Strong analytical and communication skills, with the ability to balance consumer value, merchant value, business impact, technical feasibility, privacy, risk, and brand trust.
- Curiosity about AI in consumer products, including where AI can create useful personalization, reduce friction, improve relevance, or build confidence without becoming gimmicky or intrusive.
Bonus Points if You Have
- Experience in fintech, payments, banking, rewards, cashback, ecommerce checkout, marketplaces, retail media, growth loops, or regulated consumer technology environments.
- Familiarity with real\-time payments, wallets, payment status flows, refunds, disputes, cashback eligibility, reward redemption, or transaction\-led engagement.
- Experience improving mobile app onboarding, consumer activation, habit formation, referral, lifecycle messaging, reward mechanics, or retention funnels.
- Experience with AI\-assisted product experiences, recommendation systems, segmentation, experimentation platforms, behavioral analytics, SQL, dashboards, or data exploration.
- A strong instinct for consumer trust, including clear communication around money movement, rewards value, eligibility rules, consent, data use, and privacy.
Why Join Us?
- High\-Growth Fintech: Be part of a company shaping the future of real\-time payments, AI, rewards, and merchant growth.
- Career Development: Grow your product career across consumer apps, fintech, payments, behavioral product, AI, data, and cross\-functional delivery.
- Impactful Role: Own meaningful parts of the consumer journey and help turn everyday payments into clearer value for consumers and stronger growth for merchants.
- Dynamic Culture: Join a passionate and collaborative team that values innovation, ownership, customer obsession, and execution.
Benefits \& Perks
- Leave that supports real life – Enjoy Birthday Leave and Menstrual Leave in addition to your standard annual leave.
- Invest in your wellbeing and growth – Receive an annual Wellness and Development Allowance to use toward what helps you feel and perform at your best.
- Technology support – Access a Technology Allowance to help you create a productive working setup.
- Flexible hybrid working – Enjoy the balance of collaborating in person and working remotely.
- Celebrate together – Connect with the team through quarterly social events and our annual company trip.
How to Apply
We keep our hiring process simple and effective:
- Phone Screen (People \& Culture)
- Meet the Hiring Manager: A casual introductory call with the Head of Product
- Take\-home assessment
- Meet the Team: Get to know the stakeholders you'll be working with, discuss the role, and ensure alignment.
If this sounds like your next career move, we'd love to hear from you.
Ready to make an impact? Apply now.
Equal Opportunity and Accommodations
*Hello Clever is an equal opportunity employer. We consider qualified applicants without regard to any characteristic protected by applicable law. We provide reasonable accommodations for applicants with disabilities and for religious observances during the hiring process. Please let your recruiter know if you need an accommodation.*
### Company Overview
Please visit our company website for more information
Salary Context
This $150K-$200K range is below the median for AI Product Manager roles in our dataset (median: $185K across 167 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 4,317 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Hello Clever, 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 in Demand for This Role
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 $217,100 based on 471 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $194,400. This role's midpoint ($175K) sits 19% below the category median. Disclosed range: $150K to $200K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Hello Clever AI Hiring
Hello Clever has 1 open AI role right now. They're hiring across AI Product Manager. Based in New York, NY, US. Compensation range: $200K - $200K.
Location Context
AI roles in New York pay a median of $220,000 across 1,650 tracked positions.
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 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 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 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). 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 (138) are outnumbered by mid-level (2,071) and senior (1,655) 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 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 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 $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. 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 $287,500 median, while Prompt Engineer roles sit at $145,000. 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 (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 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.
Frequently Asked Questions
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