Lead development of production ML models for customer lifetime value, conversion, and recommendations.
Advance personalization and recommendation systems using Databricks and MLflow.
Establish best practices in ML including monitoring, experimentation, and mentoring.
NerdWallet's mission is to provide clarity for all of life's financial decisions. They are a growing, remote-first company with an inclusive and supportive team culture.
Lead the development of production-grade ML solutions for personalization, predictive modeling, and performance marketing.
Build predictive models for customer lifetime value, conversion propensity, and lead quality.
Advance recommendation systems and establish best-in-class ML practices using Databricks.
NerdWallet provides clarity for all of life's financial decisions. The company is growing and fosters an inclusive, supportive team culture where members lift each other up.
Own the product roadmap for the Data & ML squad, focusing on predictive performance and creator-brand match quality.
Partner with engineering and design to turn ML capabilities into reusable product value, including Forge AI.
Define north star metrics, run experiments, and report results to drive retention and commercial outcomes.
#paid operates a marketplace connecting vetted creators with brands like McDonald’s, Samsung, and Disney for authentic collaborations. The company is rated #1 for customer support and managed services, and is building a team of ambitious humans to transform the creator economy.
Shape machine learning strategy and governance across credit, fraud, marketing, and growth at Dave.
Build and improve credit models by balancing portfolio performance, profitability, and member outcomes.
Mentor scientists and advance responsible modeling with Legal, Compliance, and Risk partners.
Dave is a financial app building affordable, transparent financial products for Americans living paycheck to paycheck. It is a virtual-first fintech company with a member-centric, collaborative culture focused on leveling the financial playing field.
Build credit scoring models, improve fraud detection, and design A/B tests for promotions.
Partner with product and operations teams to generate insights and drive decisions.
Take ownership of analytics projects from scoping to communicating findings to stakeholders.
Wave is building financial services to make Africa the first cashless continent, offering mobile money that works anywhere. With millions of users across 9 countries and a rapidly growing team, we foster autonomy and are backed by world-class investors.
Own the end-to-end product lifecycle for installment lending products, from strategy and PRDs to launch and ongoing optimization.
Create consistent collections and recoveries processes across credit products, including launching new lending products from 0 to 1.
Run experiments and measure impact on gross profit, partnering with cross-functional teams to ensure regulatory compliance and sound P&L.
KOHO is a Canadian fintech company on a mission to make financial services better for every Canadian, offering products with no hidden fees and transparent terms. They are a performance-driven organization that values work-life integration and remote-first collaboration, focusing on impact over bureaucracy.
Lead deep investigations into revenue opportunities and production ML systems for personalization, experimentation, and automation.
Partner with Product, Engineering, and Data teams to integrate ML features and ensure their performance is measured.
Mentor data scientists and drive best practices for advanced analytics and ML development.
Life360 is a mobile app and device company helping families protect loved ones, pets, and valuables via location sharing and safety features. With over 102 million users and 500+ remote-first employees, its culture is mission-driven and AI-native.
Define and own the Data & AI product roadmap tied to commercial outcomes like GMV and margin.
Lead pricing and valuation products for used electronics and cars, including dynamic pricing.
Own the data platform as a product, working with data engineering on pipelines and data quality.
Soum is a fast-growing B2C marketplace based in Riyadh, connecting buyers and sellers of used electronics and used cars across Saudi Arabia. With a recent subscription model launch, Soum is building the go-to recommerce platform in the Kingdom, focusing on trust and fair transactions.
Own datasets end to end, from licensing through modeling, ingestion, and launch.
Partner with developers to shape API surfaces and roadmap based on real needs.
Work hands-on in the data to run coverage analyses and set acceptance criteria.
Learning Commons builds open AI infrastructure to connect learning science with educational tools, scaling proven teaching practices. The team works at the intersection of technology, research, and philanthropy, pairing product development with grantmaking.
Own product strategy for customer-facing ML applications tied to growth objectives.
Design and evaluate model performance for probabilistic outputs.
Partner with engineers, data scientists, and commercial teams to translate between technical and non-technical stakeholders.
Fanatics is building a leading global digital sports platform, offering products and services across commerce, collectibles, and betting to sports fans worldwide. With more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Own the credit signals roadmap and build credit products for lenders.
Partner with data science to ship models into production-ready signals and scores.
Work across the credit lifecycle while aligning products with RBI and data rules.
Bureau is a unified risk decisioning platform for compliance, fraud, and transaction risks, powered by a 1 billion+ identity knowledge graph. With over 150 banks and fintechs as customers and $50M+ raised from investors like PayPal Ventures, Bureau values speed, ownership, and impact over hours worked.
Own the outcome from ambiguous customer problem to measurable impact, including building data when it doesn't exist and shipping models into real products.
Make the value legible by ensuring predictions are understandable, trustworthy, and actionable, and report realised impact back to the business.
Deliver end-to-end by operating deployment, testing, versioning, monitoring, and drift detection, and embed with product teams to put ML inside real workflows.
WorkWave provides AI-driven operational intelligence products that help businesses make better decisions and run their operations more efficiently. We foster a flexible, collaborative, and impact-driven culture focused on trust, inclusion, and delivering measurable customer outcomes.
Leverage advanced data analytics to independently derive insights and optimize risk, growth, and business strategies across products and geographies.
Monitor portfolio performance and macroeconomic trends, proactively adjusting strategies to balance growth and risk mitigation.
Partner with Engineering and Machine Learning teams to build and interpret metrics for scalable risk, fraud, or growth models.
Affirm is a financial technology company offering clear, predictable pay-over-time solutions with no hidden fees. It is a remote-first public company that values transparency, flexibility, and a culture of learning and documentation.
Set technical strategy for the international credit ML team and drive underwriting projects.
Partner with product, design, analytics, and risk to manage technical sustainability and trade-offs.
Mentor engineers and contribute to a cohesive long-term ML strategy.
Affirm exists to give people a clear, predictable way to pay over time, with no hidden fees or surprises. It is a remote-first fintech company that cares about transparency and flexibility, offering comprehensive benefits and growth opportunities.
Own day-to-day product execution and roadmap for a refinance title decisioning platform.
Partner with engineering, data science, and operations to deliver scalable, high-quality automation and AI solutions.
Define and track key product metrics, manage trade-offs against OKRs, and align stakeholders across the company.
Doma Technology LLC provides solutions for lenders, real estate professionals, title agents, and homeowners to make closings simpler and more efficient. They value an entrepreneurial, people-first culture focused on integrity and collaboration.
Develop and implement data science strategies to enhance ML models for lead scoring, churn, pricing, personalization, and fraud detection.
Collaborate with engineering and business stakeholders to drive end-to-end data science initiatives from data to deployment.
Communicate findings clearly to technical and non-technical audiences for business impact.
Engine is an AI-native platform for intelligent travel, powering modern business travel with proprietary technology and supply. Serving 40,000+ customers and nearly 2 million travelers, it is recognized as a Best Place to Work with an ambitious, high-ownership culture.
Lead the end-to-end development of a measurement and reporting platform for retail media campaign performance.
Integrate retailer data sources and build scalable data architecture for a multi-tenant reporting platform.
Drive product execution by maintaining the backlog, writing tickets, and translating customer needs into scalable capabilities.
The company develops a measurement and reporting platform that helps brands and agencies understand retail media campaign performance. It is a remote-first, fast-paced startup with a distributed team and headquarters in Toronto.
Research and deploy NLP, ML, and GenAI solutions for revenue lifecycle management products.
Partner with engineering and product to take models from experimentation to production at scale.
Mentor teammates and drive evaluation standards while building LLM and RAG-based capabilities.
Conga unifies pricing, quoting, contracting, rebates, and communications so companies run as connected, smarter businesses. Trusted by over 10,000 customers and 50% of the Fortune 100, Conga fosters a culture where colleagues thrive and every voice is heard.
Independently manage product features and quarterly priorities from discovery to delivery.
Use data and user research to optimize user journeys and drive business outcomes.
Partner cross-functionally with engineering, design, editorial, and revenue teams.
Axios is a media company dedicated to delivering trustworthy news and information with efficiency, clarity, and Smart Brevity. The company fosters an open, inclusive, and diverse work culture with a strong commitment to employee well-being and AI literacy.
Define product vision, strategy, and roadmaps for zero-to-one initiatives with significant business potential.
Lead the complete product lifecycle, from opportunity discovery and rapid prototyping to launch and continuous improvement.
Collaborate with engineering, design, data, and commercial teams to deliver customer-focused financial products.
The company is a partner organization focused on developing innovative financial products and building scalable businesses from the ground up. It operates with a remote-first culture, emphasizing high-impact teamwork and collaboration with executive leadership.