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Location
New York
Employment Type
Full time
Department
Tech
Compensation
- $180K – $240K • Offers Bonus
WHO WE ARE
At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide.
Our Ambition: To build the world's most disruptive payment network and redefine what the payment experience should feel like.
Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high growth environment, join us and be part of a team that's transforming the way the world pays.
ABOUT THE AI TRANSFORMATION TEAM
The AI Transformation team sits at the intersection of technology, product, and people, and is accountable for the operating leverage Trustly gains from making its processes and workflows AI native. The team partners with Customer Operations, Finance, Legal, People, and Go to Market to find the workflows where AI changes the economics, redesigns them, and proves the result in cost, cycle time, and reclaimed capacity. Every redesign carries a documented baseline and a figure Finance has validated.
ABOUT THE ROLE
As Process and Performance Lead on the AI Transformation team, you will re-engineer Trustly's core business workflows so they are ready for automation, virtual agents, or AI assistance, with security and compliance built in from the start. This is a hands on process design role. Most of your time goes into mapping how work actually happens, establishing what it costs and how long it takes today, and redesigning the workflow itself before any tool gets applied to it.
You will also build the financial case for each redesign and defend it to Finance. A redesign Finance will not sign is not a result. In your first 90 days you will baseline and redesign one Customer Operations workflow, disputes or chargebacks, through a mix of online and in person workshops with Customer Operations, Finance, and Risk and Compliance.
WHAT YOU'LL DO
- Establish the baseline before any redesign begins. Most of the workflows you will touch are not measured today, and a redesign without a baseline cannot be claimed as a result.
- Partner with operational and business teams to map current workflows end to end, identifying bottlenecks, handoff delays, and repetitive manual tasks.
- Redesign workflows so they can support automation, machine learning, or virtual agents, classifying each by complexity from simple no-code tools to integrations that require IT support.
- Build the financial case for each redesign, in capacity gained or cost avoided, and validate it with Finance.
- Track a speed and quality metric pair for every workflow you touch. A speed gain with a quality regression is a failure, not a win.
- Guide the rollout of AI systems and virtual agent workflows into production and customer support channels.
- Flag workflows that touch regulated decisions, such as credit risk, fraud, AML, or complaints handling, and route them to Legal and Compliance rather than automating them directly.
- Lead the change with the teams affected, training them on the new process and the new tool together, and hand back an operating model they can sustain without you.
WHO YOU ARE
- Six Sigma Black Belt certification required.
- Six or more years of experience in process improvement, operations, or business process re-engineering.
- Experience redesigning workflows for automation, not just documenting them.
- Experience building a financial case for a process change and defending it to a finance team.
- Comfort working with data to build and track operational metrics.
- Experience leading change with frontline teams, including training and communication.
- Ability to work across operations, technology, and risk or compliance teams in a fast-moving environment.
- Experience with AI or automation tools in a regulated or financial services environment a strong plus.
- Familiarity with low-code integration tools or workflow automation platforms a plus.
- PMP or equivalent project management certification a plus.
This role is based in our New York office, with occasional travel within the US and Europe for in person workshops.
SALARY RANGES IN US-BASED ROLE POSTING
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only and do not include other perks and benefits.
WHAT WE OFFER
At Trustly, you’ll have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we’re shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You'll be challenged and empowered to grow, making a real impact every step of the way.
Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. At Trustly, we foster a workplace where everyone feels they belong—a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way.
We offer innovative perks and benefits packages that include:
- Flexible paid time off & generous PTO accrual plans
- Comprehensive medical, dental, vision, and other insurances
- FSA & HSA plans for medical and dependent care
- Home office set-up allowance
- Internet stipend
- Retirement plan match for 401k and RRSP
- Gender-neutral paid parental leave, and more!
(The benefits and total compensation packages outlined above are for full-time employees; some exclusions apply for temporary positions.)
At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.
Compensation Range: $180K - $240K
Salary Context
This $180K-$240K range is above 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 Trustly, 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 $220,200 based on 862 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $228,700. This role's midpoint ($210K) sits 5% below the category median. Disclosed range: $180K to $240K.
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.
Trustly AI Hiring
Trustly has 4 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager. Based in New York, NY, US. Compensation range: $240K - $240K.
Location Context
AI roles in New York pay a median of $221,000 across 2,878 tracked positions. That's 4% 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 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.
Frequently Asked Questions
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