SoFi

Staff AI Engineer at SoFi, focused on designing, developing, and scaling agentic AI systems for risk management and internal workflows. This role involves architecting multi-step reasoning systems, designing user experience layers, context engineering, productionizing AI services, and building observability and evaluation frameworks. Requires strong backend engineering, LLM experience, and system design skills in a financial services context.

Principal Product Designer to lead the design and execution of SoFi Coach, an AI-native, agentic layer that will transform the platform into a proactive personal wealth manager. This role involves turning speculative AI capabilities into validated, agentic experiences, collaborating with leadership, and influencing cross-company strategy.

Director of AI Platforms responsible for building and leading a team that provides AI-enabling platform services, automation, and SDLC agents for SoFi. The role focuses on creating a shared foundation for teams to build, deploy, and operate AI capabilities through self-service workflows, standardized tooling, and clear operational contracts, while ensuring compliance with regulatory and governance requirements. Key responsibilities include defining the platform strategy and roadmap, driving adoption, managing vendor relationships, implementing governance and observability, and leading engineering teams.

Principal Product Manager to define and scale SoFi's AI-powered SDLC platform, integrating AI into the product development process from discovery to continuous improvement. This role focuses on platform leadership at the intersection of AI, developer experience, CI/CD, testing, observability, and governance, defining how AI agents generate code, tests, and documentation, and integrating them into development workflows. Requires strong technical fluency, enterprise influence, and experience shipping LLM-powered or agent-driven products.

This role is for an AI Solutions & Delivery Manager in the Business Controls Group at SoFi, a financial services company. The manager will lead the application of AI, including Generative AI and Agentic AI, to risk and control operations. Responsibilities include defining AI strategy, designing, developing, and deploying AI-powered solutions (like LLM agents and automated analysis), managing the AI product lifecycle, stakeholder engagement, and ensuring governance, risk, and compliance within a regulated environment. The role requires technical leadership in evaluating and integrating AI tools and platforms, with a focus on improving control testing, reporting, and overall process efficiency.

Product leader to define and scale Marketing Technology at SoFi, powered by AI. This role will own the vision for AI-driven marketing platforms, focusing on automating, personalizing, and scaling campaign creation and optimization to drive member acquisition, engagement, and retention. The goal is to build intelligent systems that autonomously create, optimize, and orchestrate campaigns at scale, improving growth efficiency.

Staff Marketing Data Scientist at SoFi, focused on building and scaling machine learning models for marketing and growth across financial products. The role involves developing predictive models for acquisition, conversion, retention, and LTV using behavioral, transactional, and credit data, with a strong emphasis on production implementation, monitoring, and regulatory compliance. The role also involves building feature stores and experimentation frameworks.

Seeking an experienced AI Automation Lead to architect and deliver a multi-agent AI strategy, moving beyond simple chatbots to autonomous, stateful workflows. This full-stack role involves designing and implementing agentic workflows, building human-in-the-loop systems, integrating Snowflake Cortex, developing complex UIs with React, building scalable Python backend services, orchestrating workflows with Airflow, and managing data pipelines with Snowflake and dbt. The lead will also own infrastructure as code, CI/CD, and optimize LLM usage, while providing technical leadership, code reviews, and mentorship.

This role focuses on defining the strategy, roadmap, and outcomes for securing the organization's product lifecycle and emerging AI/ML initiatives. It involves treating Product Security and AI Security capabilities as internal products, aligning with enterprise risk, and embedding security controls into the SDLC and AI/ML systems. Key responsibilities include developing strategy and roadmaps, managing security due diligence for M&A, defining product/capability management for security, portfolio management, and cross-functional collaboration with Product, Engineering, Data Science, Legal, and Compliance.

Principal Software Engineer at SoFi to lead the technical and architectural evolution of Member Growth platforms, focusing on architecting agentic and AI-driven systems for member acquisition and engagement in a regulated financial environment. The role involves defining evaluation strategies, ensuring quality, safety, and compliance of AI workflows, and driving the next generation of campaign automation and communication platforms.

Senior Manager of Data Science at SoFi, a fintech company, responsible for leading a team of Data Scientists to support various business units. The role involves identifying and prioritizing data science initiatives, setting high standards for quality and delivery, recruiting and mentoring talent, and collaborating with cross-functional teams to provide data-driven solutions and identify business opportunities. Requires experience in data pipelines, SQL, Python, ML algorithms, and deploying ML models at scale.

SoFi is seeking a Staff Data Scientist to lead the evolution of their Home Loan and Home Equity risk frameworks. This role involves designing and implementing ML models for credit underwriting, debt-to-income validation, and automated appraisal reviews. The candidate will provide technical oversight for externally developed models, present insights to leadership, collaborate with governance teams on regulatory compliance, and partner with Product and Engineering for model operationalization, deployment, and monitoring. The role also requires continuous exploration of ML frameworks to build proprietary mortgage risk tools.

Data Scientist at SoFi focused on developing and improving machine learning and statistical models for credit risk and operational areas. This role involves collaborating with various teams, leveraging data sources, and ensuring model rigor and monitoring.

Senior Manager, Data Science for Portfolio Management and Loss Mitigation at SoFi. This role leads the development, deployment, and governance of portfolio management and loss mitigation models for credit products. The candidate will transition the team to next-generation machine learning platforms, leverage emerging data sources, and ensure adherence to Model Risk Management (MRM) standards in a regulated financial environment. Requires expertise in advanced ML techniques, Python, SQL, and regulatory knowledge (SR 11-7).

Senior Product Manager to own the fraud product strategy for all money movement rails at SoFi. This role involves owning real-time systems and detection logic, building high-precision detection logic that scales, and owning the risk profile for every inflow and outflow. The focus is on stopping bad actors while ensuring good members can transact smoothly, sitting at the intersection of Data Science, Engineering, and Payments.

This role leads the Modeling & AI Enablement function within Marketing Data Science, focusing on building AI-driven competitive advantage and accelerating enterprise AI adoption. It involves defining strategy, developing AI-powered tools and platforms, guiding model development, ensuring responsible AI practices, and leading a team of data scientists. The role partners with Engineering, Marketing Technology, Risk, and Governance stakeholders.

Seeking an experienced engineering leader to define the architecture and technical strategy for a customer-facing AI agent for financial guidance, leading its implementation and ensuring quality, reliability, observability, safety, and compliance in a regulated environment. Requires 10+ years of software engineering experience, including 2+ years building AI Agents for millions of users, with strong expertise in system architecture, platform design, and cross-org technical strategy.

Senior Data Scientist at SoFi focused on Anti-Money Laundering (AML) compliance. The role involves developing, optimizing, and validating AML models using machine learning and statistical methods, ensuring compliance with regulatory requirements, and contributing to AML data infrastructure and governance. This includes working with customer screening, transaction monitoring, and risk rating models across various product lines.

Principal Product Manager to lead the strategy and roadmap for a Fraud, Risk & ML Platform. This platform is the unified foundation for event-driven decisioning, risk-based interdictions, real-time feature stores, and self-serve ML capabilities across the enterprise. The role focuses on reducing model time-to-market, enabling teams to build, deploy, and monitor ML models at enterprise scale, and improving platform adoption through a strong developer experience.

SoFi is seeking a Senior Data Scientist/Machine Learning Model Developer to join their Fraud Model Development Team. This role will own the end-to-end development, validation, deployment, and performance management of fraud models across various SoFi products. The goal is to reduce fraud loss and false positives, influencing fraud strategy and ensuring sustained business impact. Requires expertise in Python, SQL, statistical modeling, and machine learning techniques, with experience in production ML and managing model risk.

Senior Full Stack Engineer at SoFi to develop, deploy, and optimize enterprise-grade, full-stack custom applications. This role involves architecting and building user-facing software, managing deployment pipelines, collaborating with AI engineers on multi-agentic AI applications, and automating data flows. The position requires expertise in full-stack frameworks, DevOps, Snowflake (including Cortex), and Airflow, with a focus on delivering scalable, highly available cloud-based services.

Staff Software Engineer, AI role at SoFi focused on bringing AI/ML to Member Growth through advanced personalization and AI-driven solutions. This role involves leading the development of internal frameworks, tools, and applications for marketing, communications, and measurement systems, supporting members' financial journeys. The engineer will be involved in the entire product lifecycle, from ideation to deployment, and will mentor other engineers.

Senior Staff Software Engineer to join Builder Tools engineering to lead the direction and architecture of AI-powered software testing experience, and elevate product reliability through testing infrastructure innovations and practices. This role involves technical leadership in AI powered agentic testing (autonomous test generation, execution, failure remediation), and foundational test infrastructure.

Senior Staff Software Engineer to join Builder Tools engineering to enable SoFi engineers to solve problems using AI-powered SDLC, elevating developer experience through AI enabled workflows, tooling, and practices. Role involves technical leadership, innovation, mentorship, and influencing adoption of AI powered SDLC tooling.

Staff Full Stack Engineer at SoFi, focusing on architectural leadership for enterprise-scale, full-stack ecosystems with a strong emphasis on integrating AI and agentic systems. The role involves designing and deploying complex applications, orchestrating AI-native database functions, implementing multi-agentic workflows for business challenges, and leading the translation of product requirements into technical specifications. Requires 8+ years of experience, proficiency in React/Node.js, data/AI infrastructure (Snowflake preferred), pipeline orchestration (Airflow), and DevOps (GitOps, ArgoCD, GitLab CI/CD).

Principal Software Engineer to lead the technical strategy and architecture of an internal developer platform in an AI-first SDLC, enabling engineers with AI-enabled development practices and tooling. Focus on technical leadership, strategic partnership, innovation, and operational excellence in AI tools, infrastructure, and agent frameworks.