Lead a multidisciplinary team of ML engineers, data scientists, and analysts to improve identification accuracy.
Own the team's technical roadmap and drive measurable model quality outcomes at massive scale.
Collaborate with engineering, product, and customer teams to translate business needs into technical priorities.
This company provides a critical identification platform that leverages machine learning and data science for fraud prevention. It operates with a globally distributed team and values diverse perspectives and technical excellence.
Prototype, evaluate, and deploy machine learning models for fraud detection with ongoing monitoring.
Design experiments to balance customer experience and fraud loss reduction.
Build anomaly detection systems to surface novel fraud vectors before scaling.
Moniepoint is Africa’s fastest-growing fintech, processing billions of Naira monthly with over 10 million accounts. They prioritize employee well-being and foster an inclusive culture.
Architect and execute Machine Learning solutions, develop Large Language Models (LLMs), and build the AI stack to automate complex Data Analytics workflows.
Own the AI stack roadmap from opportunity sizing through prototyping to deployment and impact measurement.
Translate complex technical work into clear recommendations for senior stakeholders and mentor analysts.
JumpCloud is an AI-powered unified IT management platform that secures the modern workforce by consolidating identity, device, and access management. With teams in 15+ countries, it is a fast-paced, SaaS-based environment that values innovation and collaboration.
Turn raw operational data into products that improve customer decision-making, owning the problem from framing to delivery.
Build data pipelines and deploy models using Python, SQL, and Snowflake, ensuring models are usable, explainable, and measurable.
Partner with Product Managers and Software Engineers to embed machine learning into real product workflows.
WorkWave provides field service and logistics software solutions for businesses of all sizes. They are a global company with a remote-first culture and have been recognized as a Best Place to Work, with employees in over 30 states and 7 countries.
Define technology vision and target stack for $5B+ annual operation.
Build and grow an exceptional technology organization, scaling the engineering team from 15 to ~30.
Own technical direction, quality bar, and balance demanding portfolio across six workstreams.
GiveDirectly delivers cash directly to people living in poverty, having transferred over $1 billion to 2+ million people across 15 countries since 2011. The culture is candid, analytical, and non-hierarchical, supporting high ownership and professional growth.
Partner with the Business Unit Lead to identify gaps in decisioning performance and implement solutions.
Build production machine learning models to identify fraud in collaboration with other data scientists.
Communicate complex ideas to a variety of audiences, from Customer Success to Sales.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with customers. Their advanced technology creates frictionless shopping experiences, and they are trusted by thousands of merchants across over 100 countries.
Directly manage a team of applied ML scientists, coaching them through model development and technical decision making.
Own execution for your area, including priorities, delivery, and results, while remaining hands-on with code review and production systems.
Partner with senior leadership, Product, Engineering, and Risk to prioritize work and deliver impactful ML solutions.
SentiLink provides innovative identity and risk solutions, building the future of identity verification in the United States. They are a fast-growing company backed by top investors, with offices across the US and India, and have earned recognition from major media outlets.
Own fraud detection models end-to-end, from data acquisition to production and monitoring.
Research new fraud vectors and develop products for identity verification and financial risk.
Write production code and present analyses to drive product, risk, and sales decisions.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We are a rapidly growing fintech startup backed by world-class investors, with offices across the US and India.
Design, build, and productionize ML models for ETA prediction using regression, classification, and time-series forecasting.
Develop NLP/LLM-based extraction pipelines for message-based status updates, including text extraction and entity recognition.
Own models end-to-end from data pipeline to deployment and monitoring, turning noisy logistics data into scalable solutions.
FourKites is the leader in AI-driven supply chain transformation, providing real-time visibility and an Intelligent Control Tower that breaks down enterprise silos. The company processes over 3.2 million supply chain events daily, serving 1,600-plus global brands, and fosters a collaborative culture with a focus on diversity and inclusion.
Lead a team building foundational identity, authentication, and fraud-risk systems for a large-scale digital marketplace.
Partner with Product, Security, Data Science, and Legal to solve adversarial problems at scale with AI and risk signals.
Manage backend engineers, define technical strategy, and ensure reliable delivery of critical platform services.
This job posting is for a partner company seeking an Engineering Manager, Fraud & Identity Platform. It focuses on protecting a large-scale digital marketplace through identity and fraud-risk capabilities.
Own a major subsystem of a novel exploitability engine end-to-end, including design, delivery, and quality.
Drive design and code reviews, raise the engineering bar, and mentor engineers through influence.
Partner with product, security R&D, and SecOps to turn customer problems into subsystem design.
ServiceNow provides an AI platform that automates workflows to free people from busywork, serving as the AI control tower for business reinvention. It serves 85% of the Fortune 500 and fosters an AI-native culture where technology and talent are unstoppable.
Lead and develop the decision scientists and data scientists on the team, setting the quality bar for both disciplines.
Own the MAU driver model and forecast, and drive strategy to grow MAU.
Establish analysis standards and partner with counterparts to define common metrics and experimentation standards.
Life360 is a mobile app and tracker company that helps families stay connected with location sharing, crash detection, and more. The company has over 500 remote-first employees and fosters an AI-native culture.
Own the technical strategy for the end-to-end Ads ML engineer lifecycle, focusing on feature development and training iteration.
Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, and quality.
Build platform abstractions and workflow automation to make ML development faster, safer, and more self-service.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information and has a culture of openness and authenticity.
Lead ads fraud detection strategy by defining taxonomies, labels, metrics, and evaluation frameworks.
Analyze large datasets to uncover fraud patterns and translate findings into scalable detection and enforcement pipelines.
Build and maintain statistical, ML, and GenAI models to improve fraud detection, risk identification, and enforcement quality.
Reddit is a community of communities, built on shared interests and authentic conversations. With 100,000+ active communities and approximately 130 million daily active users, it is one of the internet's largest sources of information, fostering an open and inclusive culture.
Lead, coach, and develop a multidisciplinary team across data engineering, analytics, data science, and machine learning.
Set technical direction for Kard's data platform to improve scalability, reliability, and automation.
Partner with engineering and product to integrate data and machine learning into product development and ensure go-to-market teams have accurate data.
Kard is building commerce media infrastructure that connects financial institutions, financial-services platforms, and merchants through data and merchant-funded rewards. It is a remote-first company with a small, multidisciplinary team, fostering an inclusive and dynamic work culture.
Own the full data science engine for a priority vertical, from business problem to deployed model and live ROAS performance.
Focus on Insurance and Advertiser Quality, building models that maintain positive ROAS and drive lead quality.
Stay hands-on with data and modeling, partnering with ML engineering for deployment and monitoring.
Launch Potato is a discovery and conversion company turning attention into customer acquisition for finance, travel, and entertainment partners. They are a profitable, bootstrapped, remote-first team across 18 countries that measures impact, not activity.
Own the technical roadmap for physical document IDV, including accuracy, coverage, fraud detection, and conversion.
Partner with ML engineers and data scientists to define model improvements and measure success.
Be the voice of Veriff in complex customer calls, running technical deep-dives and answering detailed accuracy questions.
Veriff is the preferred identity verification platform for growth-driven organizations, helping verify and safeguard users globally. We have a diverse team across the US, UK, Spain, and Estonia, with robust backing from investors including Accel, Alkeon, IVP, Tiger Capital, and Y Combinator.
Lead the engineering strategy for fraud, financial crime, and ongoing monitoring platforms.
Manage a distributed team across backend, frontend, data science, ML, and analytics engineering.
Drive measurable outcomes: lower fraud losses, higher automated alert throughput, and reduced monitoring costs per member.
Tide helps SMEs save time and money by offering business accounts, banking services, and administrative solutions like invoicing and accounting. With over 2 million members globally, Tide has offices in multiple countries and is Great Place to Work certified three years in a row.
Drive the technical and product roadmap by contributing innovative ideas and estimating effort for high-velocity execution.
Collaborate with product managers and engineers to translate abstract business needs into scalable technical implementations.
Own end-to-end responsibility for complex initiatives, from scoping with stakeholders to production deployment and maintenance.
TrueML is a mission-driven financial software company that uses machine learning to create better digital experiences for distressed borrowers. The team includes inspired data scientists, financial services experts, and customer experience fanatics building technology to ensure nobody gets locked out of the financial system.