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Required Staff Data Analyst, Risk & Fraud
Job Overview
As a Staff Analyst on the Trust and Safety Analytics team, you will be responsible for identifying, making available, and leveraging critical data elements to optimize our ability to fight fraud, protect its customers and enforce acceptable use of products and services. Specifically, you will focus on applying your analytical skills to design, support and scale tools, processes, and strategies that proactively identify and mitigate risks across the organization.
Responsibilities
Collaborate closely with Engineering and Product teams to design, implement, and maintain analytics frameworks, tools, and data systems that support effective data monitoring and risk management strategies, enabling informed, data-driven decision-making.
Take an active role in the analytics team's efforts to manage and enhance Trust and Safety platform capabilities. Provide timely insights and actionable recommendations to strengthen platform performance and address emerging challenges. Develop tools and systems to measure platform health and assess risks, including designing dashboards to track performance metrics, analyze trends, and identify areas that require attention or intervention.
Ensure analytics systems are consistently reliable, accurate, and available. Establish proactive monitoring processes and implement thorough testing to detect and address issues, minimizing system disruptions or delays.
Contribute to effective incident management by using analytics to identify root causes, provide actionable insights, and continuously improve platform risk mitigation solutions.
Stay abreast of the latest developments in AI, and integrate insights into your analysis to address emerging risks.

Required Principal AI Scientist, Fintech Innovation Architecture
Job Overview
Join an amazing team driving cutting-edge AI solutions in the fintech industry, primarily focused on evaluating risk for lending products. This Principal role requires an exceptional blend of deep research, architectural mastery, and a powerful innovation mindset to pioneer new capabilities and deliver high-quality, end-to-end AI systems that shape the product direction for the next 510 years.
Responsibilities
System Architecture & Ownership
Own projects from conception to production, collaborating globally with partners to deliver complex projects.
Define the vision and direction for end-to-end solutions, serving as a thought leader on execution that brings immediate value and solves for the long-term vision.
Deliver robust, high-performance AI/ML system designs that meet critical requirements (latency, throughput, cost, maintenance).
Drive cross-functional end-to-end design architecture.
AI/ML Development & Leadership:
Lead the full cycle of big data exploration, including hypothesis formulation, advanced predictive statistical modeling, and algorithm development across complex, large-scale data.
Mentor existing Data Science teams, influence AI-driven product design and strategy with partner architects, and assist in the definition of roles and training needs.
Innovation & Research Strategy
Pioneer innovative Proof of Concepts (POCs) to show the way for where our Fintech products should go over the next 510 years, focusing on high-impact solutions like Explainable AI, Homomorphic Encryption, or advanced Behavioral Analytics.
Apply research to create high-impact solutions and represent the teams innovation to the wider organization.
Act as a Consultative Business Facilitator, exploiting revealed insights and providing entrepreneurial guidance for business stakeholders.

Required Sr Staff AI Scientist, Fintech Innovation
Job Overview
Join an amazing team driving AI solutions in the fintech industry, primarily focused on evaluating risk for lending products. This Senior Staff role is a blend of leading the full AI/ML development cycle and acting as a Data Science Architect, responsible for all engineering aspects of the work to deliver excellent, high-quality, and operationally sound AI systems.
Responsibilities
System Architecture & Operational Excellence:
Deliver robust AI/ML system designs that meet customer and systems requirements, including latency, throughput, cost, and maintenance.
Working with partners and architects, define the vision and align on architecture for integration, ensuring excellent deliveries in terms of quality, stability, security, compliance, and operational excellence.
Drive cross-functional end-to-end design architecture.
Lead conversations with partner architects to influence AI-driven product design and strategy
AI/ML Development & Modeling:
Lead the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, and insight generation.
Apply advanced, predictive statistical modeling and testing to extract data-driven insights from complex, large-scale data sources (relational and non-relational).
Review complex and challenging work to help simplify and execute with speed.
Strategy & Consultation:
Provide guidance to business stakeholders on how best to harness available data and fully exploit the insights revealed through the research.
Drive the design and creation of reusable AI capabilities.

Required M2 Data & services
Come join the newly formed services team within Fintech AI & DATA org. as a Development Manager.
In this role youll lead a team responsible for all SW engineering development of Fintech AI & DATA org focusing on platform and data services.
One of the major capabilities you would lead is the RISK data enrichment which is an enabler for Fintech RISK mitigation.
As the service owner you will drive all new vendor data integration, run RTB, lead platform modernization leveraging AI and work closely with stakeholders (policy teams, engineering teams and data vendors).
If you are passionate about leading engineers and building a world class platform, at a high scale, this is the opportunity for you!
Responsibilities
Technology leaders think strategically and drive for results. They build high performing teams by putting the right people in the right job at the right time. Leaders help to innovate by thinking differently. They lead their teams to embrace new ideas that produce outstanding results for our customers. Leaders inspire others through action by creating a spirit of collaboration.
In this role you will help to bring out the best ideas from the best engineers by empowering them and leading by example.
Your team will create and bring customer driven software products to market that simplify and solve for current customer needs while building for the future.
To accomplish this you will create a shared vision and build and maintain strong cross-functional relationships / alignment with partners across the business (e.g. Program Mgmt, Business Analyst, Program Managers and Development Managers across the org).

Required Staff AI Scientist, Fintech Innovation
Job Overview
Join an amazing team of AI scientists, accountable for creating AI solutions in the fintech industry, who assist in evaluating the risk of lending products.
Responsibilities
Provides guidance and support leadership to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals.
Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning.
Uses considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, and business analysts in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
Applies proven methods and hacking skills in working with divergent data types, data scales, and big data (petabytes), to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources (relational and non-relational NoSQL databases)
Provides to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research.

Come join the team as a Staff Back End Engineer. We are seeking a highly skilled engineer passionate about building a world-class platform at a high scale, specifically focused on AI productization
Responsibilities
System Design: Design, implement, and enhance services at large scale. Use your coding expertise to design and implement scalable, modular, and secure services.
AI Implementation: Develop backend systems that support serving of LLMs and AI Agents.
End-to-End Ownership: E2E responsibilities including technical documentation and automation tests. Resolve defects and bugs during testing, production, and post-release patches.
Collaboration: Work cross-functionally with various teams: product management or business units to drive forward results. Participate in peer code reviews.

We are seeking a visionary and hands-on AI Scientist to help shape the next generation of foundational language models and agentic systems that empower small and medium-sized businesses (SMBs) to thrive. In this role, you will play a key part in defining, designing, and building groundbreaking AI solutions that understand, reason, and act across complex financial and business contexts.
You will collaborate closely with cross-functional experts in AI research, data science, engineering, and product to create intelligent agents that help SMBs automate financial tasks, make smarter decisions, and operate more efficiently. Your work will combine scientific rigor with visionary execution, balancing theoretical innovation with large-scale practical impact.
The ideal candidate is a builder-scientista creative thinker who not only develops novel model architectures and training paradigms but also drives their implementation and validation in real-world applications. Youll have the opportunity to shape the AI foundation that powers transformative products serving millions of customers.
Responsibilities
Design and develop foundational language models and agentic architectures that power intelligent decision-making for small and medium businesses.
Explore novel approaches in large-scale pretraining, fine-tuning, retrieval-augmented generation, and reasoning to improve factuality, adaptability, and alignment.
Build intelligent agents capable of understanding financial data, customer context, and business workflows from bookkeeping and planning to communication and insights generation.
Collaborate with cross-functional teams across AI research, engineering, product, and design to translate breakthrough science into scalable products used by millions.
Define technical strategy and roadmap for next-generation agentic systems, driving innovation and excellence across the organization.
Publish and present research findings, internal innovations, or contributions to open-source frameworks where appropriate.

We are looking for a strong hands-on Engineering Manager to lead the AI Productization team. You will lead a team that creates innovative products and platforms, ensuring AI capabilities are delivered to our customers at scale. You will act as a technical leader, mentoring engineers and applying technical expertise to challenging programming and design problems.
Responsibilities
Strategic Leadership: Collaborate closely with other teams to lead the strategy as well as drive the execution and bring it to life. Create a shared vision and build/maintain strong cross-functional relationships with partners across the business.
AI Delivery: Lead the delivery of backend as well as front end experiences, powered by state of the art AI technologies.
Build High Performing Teams: Bring out the best ideas from the best engineers by empowering them and leading by example. Build high-performing teams by putting the right people in the right job at the right time.
Hands-on Leadership: Participate in code reviews, design discussions, and hands-on coding to ensure the team delivers high-quality software.
Operational Excellence: Drive results by thinking strategically and ensuring the team follows Agile development methodologies.

We are looking for a Machine Learning Engineer (MLE) to work on building foundational language models and agentic AI systems that empower small and medium-sized businesses (SMBs) in their financial and operational journeys.
In this role, youll work alongside Machine Learning Engineers, AI scientists and product teams to build LLM based solutions for millions of small and medium busniesses around the world, and build foundational models, involving translate breakthrough research into production systems designing, implementing, optimizing cost, latency, serving models that reason, act, and learn across real-world business contexts. Youll build scalable pipelines and infrastructure that drive impact on customers lives with the state-of-the-art AI from prototype to customer impact.
This is a unique opportunity for an engineer who thrives at the intersection of science and production, combining deep technical understanding of AI systems with the rigor and creativity needed to deliver robust, reliable, and high-performing products at scale.
Responsibilities
Implement, optimize, and deploy foundation and agentic models for large-scale use in financial reasoning, decision support, and business automation.
Collaborate with MLE, AI scientists to operationalize research ideas, turning model architectures and training methods into efficient, production-grade implementations.
Design, build, and maintain ML pipelines for data ingestion, preprocessing, training, evaluation, and continuous improvement.
Optimize inference efficiency and model latency, ensuring production systems meet real-time performance requirements.
Contribute to retrieval, memory, and orchestration components that enable agentic reasoning and long-term context management.
Establish best practices for model monitoring, evaluation, and safe deployment, including automated testing and observability in production environments.
Drive applied innovation, bridging the gap between research prototypes and large-scale, reliable business solutions used by millions of customers.

We are seeking a highly skilled Staff Fullstack Engineer to join our team. The ideal candidate will have a passion for developing high-quality, innovative software solutions and a strong familiarity with GenAI.
Responsibilities
Frontend & Backend Depth: Design and implement scalable, modular, and secure services while creating integration-centric solutions using modern API technologies. Manage the full cycle of web service creation and consumption with ReST or GraphQL API modeling.
Full Stack Development: Design and develop web, software, prototypes, or proofs of concepts (POCs). Hands-on coding across the stack.
AI Integration: Designing systems with multi-step reasoning, using tool use and API orchestration to productize AI capabilities.
Cross-Functional Delivery: Work cross-functionally with various teams including product management and business units to drive forward results. Contribute to the design and architecture of the project.
Experience with Agile Development, SCRUM, or Extreme Programming methodologies.

We are looking for a Senior Backend Developer to join our Billing Platform team and play a key role in evolving and modernizing our complex billing systems. This your opportunity to shine and make a great impact.
Responsibilities
Being part of a cross-functional in a core team.
Take end-to-end ownership of projects: design, development, testing, monitoring, and maintenance.
Design and implement complex integration systems in the billing domain.
Strengthen team expertise in databases, event-driven architecture, and AWS-based systems.
Improve team velocity through automation, adoption of new technologies, implementing AI smart solutions and better development practices.
Collaborate with multiple internal teams and external partners.
Handle ongoing production issues as part of the teams daily work.
Contribute to collective technical knowledge by suggesting creative solutions and promoting fresh thinking.

We are looking for a skilled and experienced Backend Developer with strong Python expertise to join our team. This is a unique opportunity to take part in shaping architecture decisions, contribute to cross-functional projects, and work with cutting-edge technologies in a fast-paced, innovation-driven environment.
Responsibilities
Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development, and deployment.
Design, develop, and maintain scalable backend systems using Python in production environments
Build and manage cloud-native, microservices-based architectures and distributed systems
Work with a variety of data storage technologies
Collaborate with cross-functional teams including product, DevOps, and frontend
Build and manage frontend components (Angular) as needed
Communicate complex technical topics clearly to non-technical stakeholders.

We are seeking a driven and experienced Backend Developer to join our dynamic R&D team. In this role, you will lead complex backend projects end-to-end starting from understanding functional specifications, through writing detailed technical documentation, designing system architecture, developing and deploying high-performance backend services using modern technologies and cloud infrastructure, while closely collaborating with Product, DevOps, QA, and fellow developers to deliver robust and scalable systems, and providing technical leadership through code reviews and mentoring junior team members.
Responsibilities
What youll do:
Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development, and deployment.
Build and maintain high-performance backend services using modern technologies and cloud infrastructure.
Collaborate closely with Product, DevOps, QA and fellow developers to deliver robust, scalable systems.
Provide technical leadership, conduct code reviews, and guide junior team members.

Were hiring a Senior Architect to shape our end-to-end architecture across domains, services, APIs, cloud infrastructure, and platform foundations while guiding how AI and automation integrate into our systems.
You will lead high-impact architectural initiatives that shape the future of our products and platforms. Youll tackle complex, company-wide challenges such as redefining service boundaries and domain models for scale, transitioning legacy flows into modern cloud-native and event-driven architectures, and establishing shared platform components that accelerate development across teams. You will also define secure, scalable patterns for AI-driven workflows and integrations, influencing the technical direction and enabling the next generation of product capabilities.
This is a high-impact role influencing how we build, scale, and deliver software across the entire company.
Responsibilities
Own the architecture across our platforms, services, and domains.
Define standards for microservices, APIs, integrations, domain boundaries, reliability, and data flows.
Lead high-level solution design across multiple business and technical areas.
Own AWS architecture: scalability, resilience, networking, security, observability, and cost optimization.
Drive architecture reviews and cross-company engineering decisions.
Guide our approach to AI integration (ADLC), defining patterns and architectural guardrails.
Evaluate and integrate emerging technologies with meaningful business impact.
Build and evolve the Engineering Platform (templates, paved roads, tooling, SDKs, inner-source foundations).
Collaborate across R&D, Product, DevOps, Security, BI, Marketing, and Sales.
Mentor senior engineers and promote best practices.

Requiredc Platform Engineer
Description
We're building a new Engineering Platform team designed to accelerate every business and engineering function.
As a senior Platform Engineer, you will design and build cloud infrastructure, internal developer services, AI powered automations and more to make our teams faster, autonomous and more productive.
Responsibilities
Build and evolve platform services that improve developer experience (devEx), reliability and engineering productivity while being secured.
Develop AI-driven tools and automation: internal agents, workflow orchestrators, intelligent integrations and internal assistants based on AWS infrastructure.
Integrate platform components with .NET and Python services running on AWS.
Own core cloud infrastructure using automation and Infrastructure-as-Code (Terraform/CloudFormation).
Deliver scalable, secure, and cost-efficient cloud solutions across multiple domains.
Create self-service capabilities that allow product and engineering teams to move independently.
Partner with security, DBA, DevOps, product and business stakeholders to build cross-organizational solutions.
Establish reusable templates, engineering best practices, and inner-source contribution models.