Lead and mature enterprise and technology risk management, including AI governance for machine learning and generative AI.
Translate regulatory and control expectations into actionable policies, risk frameworks, and processes.
Collaborate with technology, security, privacy, compliance, and business teams to strengthen the control environment.
The company is a growing technology organization operating in the financial-services sector. It fosters a diverse and inclusive workplace and supports professional development and continuous learning.
Conduct data governance assessments and gap analysis across client environments.
Develop and maintain data governance policies, standards, and procedures.
Collaborate with senior consultants and client stakeholders to gather requirements and validate governance controls.
GuidePoint Security provides trusted cybersecurity expertise, solutions, and services that help organizations make better decisions and minimize risk. With over 1,300 employees, the company fosters a collaborative culture and serves Fortune 500 companies and U.S. government agencies.
Promote and maintain AI governance policies and frameworks to ensure compliance and effective model risk management.
Engage with enterprise AI community to drive awareness and adoption of responsible AI practices.
Monitor model performance, governance controls, and regulatory expectations while identifying emerging risks.
CSAA Insurance Group offers automobile, home and other personal lines of insurance to AAA Members in 23 states and the District of Columbia. Founded in 1914, with over $8 billion in revenue, the company is one of the top personal lines property casualty insurers in the US and cultivates an inclusive, flexible culture.
Lead the MA Plan Command Center, setting direction and operating standards for governance, initiative portfolio management, and executive reporting.
Own enterprise performance monitoring frameworks, dashboards, and KPIs to identify risks and guide leadership decisions.
Integrate financial, actuarial, and operational insights into clear recommendations for executive leadership, leveraging AI-enabled analysis.
We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. Our team is composed of passionate, mission-driven individuals with diverse expertise, working together to solve healthcare challenges.
Lead the end-to-end delivery of AI workflows, from problem discovery to deployment and iteration.
Design and build orchestrators, sub-agents, and knowledge systems to enhance advisor and customer experiences.
Establish quality standards, monitor performance, and collaborate with cross-functional teams to deliver impactful solutions.
The company specializes in AI-driven customer success solutions. They maintain a global, remote-first team with a culture of creativity and collaboration.
Lead a team of AI engineers, setting technical direction and quality standards while staying hands-on in code.
Own the architecture and end-to-end delivery of AI systems using LLMs, RAG, and agentic patterns.
Drive evaluation, monitoring, and continuous improvement loops to ensure production-grade AI capabilities.
Finom is a European tech startup building an all-in-one financial B2B platform for entrepreneurs, integrating banking, accounting, and invoicing. They are a well-funded company with over $346 million in total funding, maintaining a startup culture that values innovation, swift implementation, and employee impact.
Drive AI-driven process innovation and continuous improvement across workflows.
Own the inbound flow of partner requests and decide what reaches firm leadership.
Run the firm's leadership cadence and prepare decision-ready briefings.
Sterlington PLLC is a full-service law firm focusing on complex corporate, litigation, executive compensation, and private wealth matters. We are a global remote-first firm committed to diversity and inclusion, where world-class talent has no boundaries.
Leads program strategy and delivery for AI training data projects, owning client relationships and governance.
Manages cross-functional teams, capacity, budgets, and quality outcomes with the Lead Quality Manager.
Drives process improvement, automation, and risk management to meet high-volume operational targets.
Welo Data is the multilingual data and evaluation partner for companies deploying GenAI systems globally. It has a global network of 500,000+ vetted experts across 300+ languages to ensure reliable AI model performance.
Serve as senior AI technical advisor to the VHA National AI Institute, developing risk management playbooks and governance strategies.
Translate federal AI policy into practical guidance for non-specialist VHA audiences and support AI use case owners.
Research emerging AI risk approaches and deliver training to AI oversight personnel.
Aptive partners with federal agencies to improve performance and service delivery. With over 300 employees nationwide, they focus on technology and human-centered services.
Lead end-to-end AI training and evaluation engagements, translating client objectives into project plans and quality standards.
Manage multiple concurrent projects, owning operational performance across quality, throughput, cost, and timelines.
Serve as primary client contact, leading scoping discussions, progress updates, and acceptance testing.
The company is a partner firm specializing in AI model training and data operations. It offers a collaborative, diverse, and supportive work culture with remote flexibility and team-building activities.
Apply deep learning and foundation models to solve fraud detection and financial risk problems using large-scale behavioral and sequential datasets.
Take models through the complete ML lifecycle including data preparation, pretraining, deployment, and production optimization.
Collaborate with cross-functional teams and clients to translate model capabilities into actionable risk decisions.
The company is a fintech organization focused on fraud detection and financial risk using AI and deep learning. It operates with a remote-first culture and a collaborative, autonomous team.
Conduct independent research in Generative AI, LLMs, NLP, and multimodal AI to design experiments and evaluate models.
Develop and implement LLM evaluation frameworks, analyze model performance, and identify data gaps for improvement.
Apply strong statistical and data science skills to clean, analyze, and interpret complex datasets for AI/ML research.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With a 36+ year legacy, the company is committed to delivering the highest quality data and outstanding outcomes for its customers.
Lead and develop a team of 13–15 Fraud Associates through coaching, feedback, and performance reviews.
Monitor operational dashboards, identify gaps, and turn data into targeted coaching and process improvements.
Serve as an escalation point for complex fraud cases and collaborate with cross-functional partners to support customers.
A financial services company dedicated to protecting cardholders and reducing fraudulent activity through a specialized fraud operations team. It maintains a remote-first environment with a growing team of 13–15 Fraud Associates, emphasizing leadership, coaching, and operational excellence.
Own the Marketing AI roadmap from idea through pilot, production, and operational handoff.
Establish AI governance frameworks covering brand, legal, privacy, and responsible AI.
Build and lead a multidisciplinary team to scale AI across marketing workflows.
The hiring company is building a center-led AI and automation function within its US marketing organization. It operates with a distributed-work model focused on flexibility, trust, collaboration, and inclusivity.
Investigate complex, high-risk user business cases applying deep risk judgment and tailored solutions.
Navigate ambiguity to develop evidence-based recommendations where standard frameworks do not apply.
Collaborate across Risk Operations, Legal, Compliance, and Product to build holistic risk mitigation strategies.
Stripe is a financial infrastructure platform for businesses, enabling millions of companies to accept payments and grow revenue. With a mission to increase the GDP of the internet, it fosters a culture of innovation and tackling ambitious challenges.
Establish enterprise-wide AI governance standards and reporting processes to ensure compliant and responsible AI adoption.
Serve as central coordinator for AI-related client, regulatory, and audit inquiries, managing intake and response.
Maintain a centralized, audit-ready inventory of AI use cases and oversee post-deployment governance controls.
Jobgether is an AI-powered job matching platform that connects candidates with opportunities through objective screening. The company uses advanced algorithms to ensure fair hiring decisions and aims to streamline the application process for both candidates and employers.
Lead discovery and development of AI agents, analytical solutions, and predictive models from concept to production.
Build advanced generative AI systems with multi-agent architectures, LangChain/LangGraph, and RAG for document analysis.
Implement MLOps/GenAIOps, real-time monitoring dashboards, and ethical AI safeguards like bias and prompt security testing.
Banco BV is a major Latin American financial institution with 37+ years turning credit into customer relationships. Named best financial institution to work for by GPTW in 2025, it has an agile, digital, and customer-centric culture.
Execute end-to-end client risk assessments, including document collection, interviews, scoring, and written assessments.
Own program underwriting, third-party risk management, and enterprise risk assessment processes.
Test, deploy, and tune agentic AI tooling to automate routine assessment tasks, while maintaining judgment on exceptions.
Lithic is a modern card issuing and processing platform that powers card programs for 100+ fintech clients, including Mercury, Flex, and Novo. With a team of 170+ across 26 states and 7 countries, we're backed by investors like Bessemer and Index, and we foster a culture of innovation and flexibility.
Identify blind spots in processes and controls, and recommend improvements.
Facilitate pre-launch reviews, risk self-assessments, and incident management.
Coordinate with cross-functional teams to ensure products are launched safely and comply with risk frameworks.
Mercury is building a complete finance stack for startups, simplifying banking for entrepreneurs and businesses. The company has obtained a provisional national bank charter and is scaling its operations, with a diverse team.