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Senior Product Marketing Manager
As the Senior Product Marketing Manager, youll be at the forefront of our customer journey, responsible for driving user engagement and conversion at every touchpoint. This role will oversee optimizing lead nurturing workflows, boosting landing page conversion rates, and refining customer and audience messaging for the marketing and sales teams. Your goal is to ensure that every interaction with our brand is impactful and aligns with our strategic growth objectives. This role involves utilizing managerial experience to lead key marketing functions and includes overseeing the content team and providing strategic guidance.
Your Arena - Know your impact:
Brand Messaging and Website Ownership:
Plan, create, and test messaging that engages users at critical points in their journey, providing value, driving product adoption, and encouraging feature usage.
Partner with product teams to ensure messaging feels integrated and provides a smooth user experience.
Own the website experience for all users.
Sales Enablement:
Create and develop sales enablement materials and assets, such as pitch decks, one-pagers, battle cards, and customer success stories, to support the sales team in reducing friction during the sales process.
Work closely with the sales team to understand and address pain points, equipping them with the right messaging, tools, and data to effectively engage potential customers.
Provide ongoing training and resources to ensure the sales team is confident in communicating product benefits and handling objections.
Competitor Research & Market Analysis:
Conduct regular competitor research to understand product positioning, messaging, and market trends.
Use insights from competitor analysis to inform product positioning, marketing strategies, and sales enablement.
Cross-Functional Collaboration:
Collaborate with sales, product, and customer success teams to align on key messaging, positioning, and customer insights.
Support cross-functional projects and marketing initiatives to ensure consistency in customer communications and brand messaging.
Lead Nurturing & Email Workflow Optimization:
Design, optimize, and execute lead nurturing email workflows that drive engagement, improve conversion, and support a seamless sales funnel.
Work with content and design teams to craft compelling email content that resonates with our target audiences.
Ensure top-of-funnel asset engagement and
Landing Page Conversion Rate Optimization (CRO):
Lead initiatives to increase landing page conversions by optimizing messaging, CTAs, layout, and user experience.
Conduct A/B testing, user feedback sessions, and data analysis to refine landing page performance continuously.
Team and Content Management:
Oversee the content team, ensuring high-quality output and alignment with the overall brand strategy.
Apply managerial experience to guide and develop high-performing marketing initiatives.

We are seeking a Head of Revenue Operations (Billing & Monetization) to own and scale our end-to-end Order-to-Cash lifecycle. This role is responsible for ensuring that all revenue-generating activities are accurately captured, billed, reconciled, and collected while building the systems and processes that power our revenue engine.
Sitting at the intersection of Finance, Product, Engineering, Customer Success, and Operations, this role will own the design, integrity, and scalability of our billing infrastructure and monetization logic. This is a high-impact role for someone who combines financial rigor, operational ownership, and systems thinking, and is excited to build and optimize revenue processes in a fast-growing fintech environment.
Your Arena - Know your impact:
Revenue Engine & Order-to-Cash
Own the full Order-to-Cash lifecycle, from transaction creation to billable event creation to cash collection
Ensure accurate conversion of product activity into billable and collectable revenue
Oversee all billing flows, including disputes managed, success-based fees, and other monetization models
Identify and eliminate revenue leakage across systems and processes
Billing Infrastructure & Monetization Logic
Define and own billing logic, pricing implementation, and revenue data flows
Partner with Product and Engineering to build scalable billing systems
Act as the business owner of the billing infrastructure across all platforms
Revenue Reconciliation & Controls
Establish and maintain robust reconciliation processes across product, billing, and financial systems
Ensure data integrity and alignment between operational events and financial records
Build controls to guarantee the completeness and accuracy of revenue
Cross-Functional Revenue Operations
Work closely with Customer Success and Operations to validate billing drivers (e.g., dispute volumes, client activity)
Partner with Finance on revenue recognition and reporting
Serve as the central point of ownership for all revenue-related processes
Systems, Automation & Insights
Build scalable processes, dashboards, and tools for revenue tracking and validation
Implement automation for anomaly detection and revenue reconciliation
Provide actionable insights to leadership to improve revenue predictability and operational efficiency.

We're in search of an exceptional hands-on Data Scientist who can bridge data infrastructure, fraud analytics, and machine learning to enhance our fraud detection capabilities. This role requires someone who can drive projects from ideation to implementation, leading these efforts while thinking strategically about how we detect and prevent fraud at scale. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.
Your Arena:
Develop and enhance fraud detection models from concept to production, focusing on data normalization, network analysis, and risk scoring.
Take ownership to identify, analyze, and implement solutions for fraud patterns and behavioral anomalies.
Design, build and maintain data science pipelines and fraud intelligence systems to improve detection accuracy.
Collaborate with product, engineering, and risk teams to implement fraud prevention strategies.
Own projects end-to-end - balancing short-term wins with long-term strategy.

Required Senior Backend Engineer
Description
This is not your typical engineering role.
If you're looking to pick up tickets, follow specs, and write clean services- this isnt for you.
But if you care about building systems that think, if you use AI to move faster than everyone else, and if you want real ownership over complex, high-scale problems - keep reading.
What we're actually building:
Were building systems that dont just process data, they make decisions.
Real-time, high-stakes, at scale.
Fraud isnt static. It evolves all the time so our systems need to evolve faster.
That means combining backend architecture, data, and AI into something smarter than traditional SaaS.
What youll actually do:
Design and build the core systems behind real-time fraud detection
Work on everything from ingestion pipelines to decision engines
Own what you build - from idea to production to iteration
Deal with scale, edge cases, failures, and ambiguity (a lot of it)
Use AI as part of your daily workflow - not as a gimmick, but as leverage
Help figure out better ways to build software in this new era
What youll get here:
Real ownership (not ownership in slides)
Hard problems with real impact
A team that moves fast and expects you to keep up
Freedom to rethink how things should be built - not just maintain what exists
A chance to become a significantly stronger engineer by working differently
Stack (for context, not as a checklist):
Node.js / TypeScript
Distributed, event-driven architecture
Kafka
AWS
MongoDB + Postgres
Containers (Docker, Kubernetes / ECS)
If you want to build, lead, and rethink how engineering works - we should talk.
Super-competitive compensation for those who fit!

We're in search of an experienced and skilled GraphDB Expertise to join our growing data team. As part of our data team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. The ideal candidate will have a strong background in designing and implementing large-scale data solutions, with the potential to grow into a leadership role. This position requires a deep understanding of modern data architectures, cloud technologies, and the ability to drive technical initiatives that align with business objectives.
Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.
Your Arena:
Design, develop, and maintain scalable, robust data pipelines and ETL processes
Architect and implement complex data models across various storage solutions
Collaborate with R&D teams, data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions
Ensure data quality, consistency, security, and compliance across all data systems
Play a key role in defining and implementing data strategies that drive business value
Contribute to the continuous improvement of our data architecture and processes
Champion and implement data engineering best practices across the R&D organization, serving as a technical expert and go-to resource for data-related questions and challenges
Participate in and sometimes lead code reviews to maintain high coding standards
Troubleshoot and resolve complex data-related issues in production environments
Evaluate and recommend new technologies and methodologies to improve our data infrastructure.

Required Engineering Squad Lead
Description
This is not your typical leadership role.
If youre looking to manage tasks, run standups, and stay above the code - this position probable isnt for you.
But if you want to build systems, shape engineers, and redefine how teams operate in the age of AI - keep reading.
What were actually building:
Were building systems that dont just process data - they make decisions.
Real-time. At scale. Under uncertainty.
Fraud evolves fast.
So our systems, and our engineers, need to evolve faster.
This is where you come in.
What youll actually do:
Youll lead a team - but youll also build with them
Youll make architectural decisions that directly impact how the system scales and behaves
Youll own critical parts of the system - not just people
Youll turn ambiguity into direction (for both product and engineering)
Youll raise the bar: in code quality, system design, and how the team thinks
Youll embed AI into how the team works - not as a tool, but as leverage
Youll help strong engineers become exceptional

We are looking for a Head of Data Analytics to build and lead the companys data platform and data strategy. The Head of Data will own our entire data platform, research, and data strategy.
This includes building the data infrastructure that powers the company, establishing reliable company-wide metrics, enabling data-driven decision making, and turning our dispute and payments data into a long-term product advantage.
This is a foundational leadership role responsible for making data a core capability across the organization.
The Head of Data Analytics will work closely with Product, Engineering, Operations, and Leadership to ensure data becomes a central part of how the company builds products and runs the business.
Your Arena:
Data Platform and Architecture - Design and lead the development of our modern data infrastructure:
Building scalable data pipelines across product, payments, disputes, and internal systems
Developing a centralized data warehouse as the companys single source of truth
Ensuring data quality, reliability, and observability
Establishing data governance and best practices
Company Metrics and Decision Intelligence - Define and standardize the core metrics used across the company:
Establishing a consistent metrics framework across product, revenue, and operations
Building dashboards used by leadership and operational teams
Ensuring reliable and accessible reporting across the organization
Supporting data-driven decision making at the leadership level
Product Data and Insights - Partner with Product and Engineering to leverage our unique dispute and payment data:
Identifying patterns and insights across disputes and recovery performance
Enabling data-driven product development
Supporting predictive capabilities and automation in dispute management
Helping build product features powered by data insights
Operational Intelligence - Provide visibility and insights into dispute operations and business performance:
Building operational analytics dashboards
Supporting forecasting and capacity planning
Identifying automation opportunities
Improving operational performance through data insights
Building the Data Organization - Build and lead the companys data team:
Hiring and managing data engineers, analytics engineers, and analysts
Establishing strong data culture and best practices
Enabling teams across the company to use data effectively
Ensuring data privacy, security, and governance standards
What Success Looks Like - Within the first 12-18 months:
We operate from a trusted company-wide data platform
Leadership and teams rely on consistent and reliable metrics
Product teams leverage dispute data to build data-powered features
Operational performance becomes clearly measurable and optimized
A strong Data organization is established and growing.