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Job Description About Ping Identity: At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it. Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear. While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work. We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management. About the Role: At Ping Identity, we're changing the way people think about enterprise security technology. With our Identity Defined Security platform, we're building a borderless world where people—and now intelligent systems and AI agents—have the freedom to work wherever and however they want. Without friction. Without fear. We call this digital freedom. And as AI reshapes enterprise software, customer engagement, and workforce productivity, identity becomes even more critical. AI systems require secure access, verified data, trusted interactions, and governed autonomy. Ping Identity sits at the center of that transformation. Ping aspires to deliver the most comprehensive identity security platform by bringing the best AI, security, and infrastructure providers into our ecosystem. As a Senior Technology Alliance Manager – AI Partnerships, you will lead and expand Ping's AI-focused technology alliances, driving co-innovation, co-market, and co-sell initiatives that position Ping as the identity foundation for AI-powered enterprises. Reporting to the Director of Technology Alliances, this role requires a strategic partnership leader who understands AI ecosystems, thrives in a rapidly evolving landscape, and is passionate about building differentiated, revenue-generating partnerships. Location near Ping Identity offices preferred - Denver, CO | Austin, TX | Remote eligible Job Responsibilities: • Manage and grow a portfolio of AI-centric technology partners within the Ping ecosystem., • Align partnership priorities with Ping's product roadmap and AI strategy., • Collaborate closely with Product and Engineering teams to develop secure, scalable integrations between Ping's identity platform and AI partner solutions., • Support partners in leveraging Ping APIs, SDKs, orchestration, and identity services to deliver differentiated joint solutions, • Ensure integrations support secure human and non-human (machine/agentic) identities., • Work cross-functionally with Sales, Marketing, and Partner teams to drive joint go-to-market initiatives including solution briefs, field enablement, campaigns, and co-selling motions., • Develop compelling AI-powered identity use cases that resonate with enterprise buyers., • Track and optimize partnership performance across pipeline contribution, adoption, and revenue impact, • Facilitate executive-level collaboration between Ping and partner leadership., • Own strategic initiatives, delivering measurable outcomes and reporting progress to internal and external stakeholders., • Provide partners with the resources, enablement, and guidance needed to succeed within Ping's ecosystem., • Assist the Technology Alliances team with program direction, governance, and ecosystem evolution. Essential Qualifications: • 6+ years of experience in technology alliances, business development, partner success, or ecosystem management within SaaS., • 3+ years working in AI, identity, cybersecurity, cloud infrastructure, or developer platforms., • Strong understanding of APIs, modern identity standards (OAuth, OIDC), and AI/ML ecosystem fundamentals., • Proven success driving co-build, co-market, and co-sell initiatives that deliver measurable business results., • Experience managing complex technology partnerships., • Strong business planning and go-to-market strategy skills., • Excellent written and verbal communication skills with the ability to influence cross-functional stakeholders and executives., • Ability to thrive in a fast-moving, emerging technology environment. Preferred Qualifications: • Direct experience with AI platforms, GenAI providers, fraud detection technologies, or identity verification vendors., • Technical background or experience working closely with product and engineering teams. Compensation Range: $129,000 - $162,000 In accordance with Colorado's Equal Pay for Equal Work Act (SB 19-085) the approximate compensation range for this role in Colorado is listed above. Final compensation for this role will be determined by various factors, such as knowledge, skills, and abilities. Life at Ping: We believe in and facilitate a flexible, collaborative work environment. We're growing quickly, but remain true to the innovative, can-do startup values that got us here. Most importantly, we keep hiring talented, smart, fun, and genuinely nice people because that's who we want to succeed with every day. Here are just a few of the things that make Ping special: • A company culture that empowers you to do your best work., • Employee Resource Groups that create a sense of belonging for everyone., • Regular company and team bonding events., • Competitive benefits and perks., • Global volunteering and community initiatives Our Benefits: • Generous PTO & Holiday Schedule, • Parental Leave, • Progressive Healthcare Options, • Retirement Programs, • Opportunity for Education Reimbursement, • Commuter Offset (Specific locations) Ping is the collective sum of all our individual experiences, backgrounds and influences and we pride ourselves in growing and learning together. We are committed to building an inclusive and diverse environment where everyone's individuality is respected and everyone has an Identity. In recruiting for new colleagues, we welcome the unique contributions you can bring and encourage you to be your best self. We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

Job DescriptionAuditorEmployment Type: Full-Time, Mid-LevelDepartment: Financial CGS is seeking a highly skilled Auditor to provide general auditing and accounting services in support of fraud investigations involving potentially complex financial transactions and complex organizations attempting to evade detection. The ideal candidate will develop, coordinate, and draft technical audit guidelines, is proficient in a variety of accounting systems, and practices excellent cross-functional communication throughout investigations. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Analyze and audit a variety of accounting systems.- Analyze, organize, and present a large volume of data such as bank records, financial records, healthcare claims, tax records, correspondence, policies, other documentary evidence, etc., through the use of common software programs.- Assist with the planning of investigations, including performing quantitative and qualitative analyses to identify potential witnesses and relevant financial documents.- Prepare concise and accurate reports of results of analysis, including detailed charts, summaries and schedules as necessary.- Assist with conferences and interviews of representatives of financial institutions, Certified Public Accountants, and other potential witnesses to financial activities.- Utilize electronic databases to identify assets, documents, and other physical evidence.- Analyze an individual or corporation’s ability to pay monetary penalties based on financial disclosures and independent investigation of assets and liabilities.- Perform ancillary investigation-related services in support of assigned cases as follows:- Develop, coordinate and issue draft technical audit guidelines and instructions applicable to financial audits and investigations.- Prepare interim and final reports throughout the investigation process for use by staff members.- Arrange for secure storage, preservation, organization and indexing of voluminous documentary evidence.- Assist in the compilation and analysis of documents and physical evidence, and the creation of charts, graphs, and other audio-visual materials for use in motions and at trial.- Meet with the designated federal agency personnel, state and local officials as needed throughout investigations.- Other related duties as assigned and within scope.x Qualifications:- Four-year undergraduate degree or higher in statistical/data analysis, finance, accounting, fraud examination, or other related field.- Minimum 3 years of professional work experience in finance, accounting, fraud examination or statistical/data analysis.- Proficient in Microsoft Office applications including Word, Excel, PowerPoint, Access, etc.- U.S. Citizenship and ability to obtain adjudication for the requisite background investigation.- Experience and expertise in performing the requisite services in Section 3 Preferred qualifications:- Experience reviewing and understanding medical records and knowledge of medical billing procedures, including experience using STARS and/or Business Objects.- Relevant experience working with a federal or state legal or law enforcement entity. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board:https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact:Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Data Science EngineerJob Details • Data Science Engineer (Contract), • Location: Austin TX, 78758 (Hybrid), • Duration: 11/17/2025 to 11/13/2026, • Team: Fraud ADUS Key Responsibilities:, • Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification., • Work closely with Cyber Fraud Investigations and Data Engineering teams to establish data science frameworks and embed insights into operational processes., • Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders. Required Skills & Qualifications:, • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field., • Advanced degrees are a plus., • 5 years of experience in data science and machine learning., • Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks., • Hands-on experience with AI agents and LLMs - Preferred., • Showcase a successful history of leading impactful data science initiatives., • Exhibit strong communication and teamwork abilities., • This role is not suitable for entry-level candidates or interns. Compensation:, • $65.00 to $69.72 per hour.#36557742

Overview: We are seeking a highly motivated and detail-oriented Data Scientist to join our team. In this role, you will be responsible for analyzing large datasets to uncover insights, develop predictive models, and help guide strategic decisions across the organization. You’ll collaborate closely with business stakeholders, data engineers, and software developers to drive data-driven innovation and continuous improvement. Key Responsibilities: • Analyze structured and unstructured data using statistical, machine learning, and data mining techniques., • Build, validate, and deploy predictive and prescriptive models to solve business problems., • Communicate findings and insights clearly to both technical and non-technical stakeholders., • Design and implement experiments (A/B testing, multivariate testing) to evaluate new strategies or features., • Collaborate with engineering teams to deploy models and ensure scalable, real-time analytics., • Develop data visualizations, dashboards, and reports to monitor key metrics., • Stay up-to-date with industry trends, tools, and technologies in data science and machine learning. Requirements: • Advanced degree in Computer Science, Statistics, Math, or equivalent experience., • 8+ years in Data science and Machine Learning., • Proficiency in ML techniques, SQL, Python/R, and big data frameworks., • Strong SQL skills for data extraction and transformation., • Experience with AI agents, LLMs, and fraud detection tools., • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)., • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop) is a plus., • Solid understanding of statistics, machine learning algorithms, and experimental design.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Reddit is continuing to grow our teams with the best talent. This role is_ within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Reddit is poised to innovate and grow like never before, and user safety is a critical accelerant of that growth. The Safety org is Reddit’s central Trust & Safety organization whose mission is to protect good users from bad experiences by stopping harmful content and behaviors across the site. We are looking for a Staff Data Scientist to join our Safety Insights Data Science team. In this role, you will partner closely with Safety Product, Engineering, and Machine Learning teams along with fellow Safety data scientists, to shape strategy, product development, define and evolve safety metrics, and drive analytics for some of the most important decisions in the Safety org. You will lead efforts to shape the measurement strategy for user safety, establish frameworks to quantify and monitor safety experiences, and evaluate the impact of interventions designed to protect Reddit’s communities. You will identify and prioritize opportunities for innovation, using rigorous analyses to size the potential impact of new initiatives and help the organization focus on the highest ROI areas to improve the safety experience at scale. Your work will guide decision-making and shape the strategic direction of Reddit’s safety efforts, ensuring that user safety remains a cornerstone of Reddit’s growth. The Safety org is one of Reddit’s largest divisions. Safety Insights works horizontally across it to provide scientific insight for product development, scaled abuse detection and mitigation, threat intelligence, and safety operations. We think big to innovate, unravel hard problems that cut across safety domains, and guide product development to protect our users from bad experiences while supporting Reddit’s long-term health and growth. Reddit has a remote-friendly work environment. If you live near one of our physical offices, our doors are open for you to come in as often as you’d like. Don’t live near an office? You can apply to work remotely from anywhere in the United States. Responsibilities: • Lead the measurement strategy for user safety by defining metrics, frameworks, and dashboards that quantify and monitor safety experiences across Reddit., • Use data and science-backed methods to inform the strategic direction of Safety product development and to rigorously assess the impact of product launches and policy or enforcement changes., • Design and execute experiments and quasi-experimental / inferential causal analyses (e.g., difference-in-differences, synthetic controls, matching) to estimate the impact and ROI of safety initiatives, and use these results for opportunity sizing and prioritization., • Own the design, development, and maintenance of scalable models and prototypes leveraging statistical, machine learning, or GenAI methodologies to improve Reddit safety., • Tactically support product development and go-to-market, from problem framing and exploratory analysis through to experimentation, launch evaluation, and post-launch monitoring., • Stay current on advances in ML, LLMs, and related methods, and evaluate where they can meaningfully improve abuse detection, risk identification, and enforcement workflows., • Translate complex analyses into clear narratives and recommendations for stakeholders, acting as a data storyteller who can influence decisions at all levels of the Safety and Moderation orgs., • Mentor and up-level junior Data Scientists and Analysts in technical approaches for detecting and mitigating abuse, fostering a culture of rigor and curiosity. Required Qualifications: • Relevant experiences in Data Science, Applied Science, or Economist roles, preferably for safety, enforcement engineering, fraud etc., • Ph.D. or M.S. degree in Statistics, Economics, Computer Science, Applied Mathematics or other quantitative fields (If M.S., a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required), • Fluent with statistical analysis, programming languages (e.g., Python) and SQL., • Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action, • Strong technical communication and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguously defined problems and deconstruct them into precisely scopable components that can be meaningfully addressed with data Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-SP1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 - $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Description We are seeking a highly motivated and experienced Machine Learning Engineer to join our AI & Threat Analytics team. This is a 100% remote position with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro area! Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and sold in over 150 countries. Join one of the fastest-growing cybersecurity companies and play a critical part in advancing Keeper’s AI-driven threat detection capabilities for our Privileged Access Management (PAM) platform. About Keeper Keeper Security is transforming cybersecurity for people and organizations around the world. Keeper’s affordable and easy-to-use solutions are built on a foundation of zero-trust and zero-knowledge security to protect every user on every device. Our award-winning, zero-trust, privileged access management platform deploys in minutes and seamlessly integrates with any tech stack and identity application to provide visibility, security, control, reporting and compliance across an entire enterprise. Trusted by millions of individuals and thousands of organizations, Keeper is an innovator of best-in-class password management, secrets management, privileged access, secure remote access and encrypted messaging. Learn more at _. About the Role You will tackle one of the most critical challenges in cybersecurity: detecting threats within privileged access sessions with high accuracy and low latency. Privileged accounts are prime targets for attackers, and the ML systems you build will serve as a first line of defense against anomalous and malicious behavior across SSH, RDP, VNC, and database connections. This role focuses on a hybrid detection approach combining vision-language models (VLMs) and domain-adapted ML models. You will work in a Python-based environment processing real-time session data via WebSocket, WebRTC, and protocol-level interfaces. The role is well-suited for engineers who enjoy both research-oriented work (datasets, evaluation, model training) and applied production engineering (inference systems, integration, and optimization). Responsibilities • Design, curate, and maintain datasets for training and evaluating threat detection models, • Build custom ML models for domain-specific threat classification and risk assessment, • Engineer and optimize prompts for vision-language models to analyze session behavior, • Create evaluation frameworks and benchmarks to measure accuracy, robustness, and reliability, • Develop Python-based inference services within Dockerized environments, • Integrate AI/ML capabilities with WebSocket, WebRTC, and low-level system interfaces for real-time analysis, • Write clean, maintainable code and produce clear technical documentation, • Monitor, troubleshoot, and optimize models in production for performance, scalability, and reliability Requirements • 5+ years of professional experience in machine learning research or development, • Strong proficiency in Python, • Hands-on experience with dataset collection, curation, and labeling for ML training, • Experience designing model evaluation frameworks and performance benchmarks, • Experience working with vision-language models or large language models (e.g., GPT, Claude, Gemini, Qwen), • Familiarity with prompt engineering techniques and LLM frameworks, • Experience building and deploying ML inference systems using Docker, • Working knowledge of graph data structures and their practical applications, • Familiarity with Git-based workflows and model repositories (e.g., Hugging Face), • Experience using cloud platforms for ML deployment and inference (AWS, GCP, and/or Azure), • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Cybersecurity, or equivalent practical experience, • U.S. Person status required due to GovCloud involvement Preferred Qualifications • Experience with security, fraud, abuse detection, or anomaly detection systems, • Familiarity with PAM, identity, or privileged access environments, • Exposure to AWS Bedrock or similar managed AI services, • Knowledge of network protocols and low-level system interfaces Benefits • Medical, Dental & Vision (Inclusive of domestic partnerships), • Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life, • Voluntary Short/Long Term Disability Insurance, • 401k (Roth/Traditional), • A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc), • Above market annual bonuses Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees. Classification: Exempt Keeper Candidate Privacy Notice This notice explains how Keeper Security processes your personal data during recruitment. Depending on the role and location, the Controller of personal data (the organization responsible for determining why and how personal data is processed) will be Keeper Security Inc. (US), Keeper Security EMEA Ltd. (Ireland), or Keeper Security APAC K.K (Japan). 1. Data We Collect Information You provide: • Contact details, CV/resume, cover letter, • Employment history, qualifications, work eligibility, • Application responses and uploaded documents Information We generate: • Interview notes, assessments, communications, • Scheduling information Information From Others: • Recruiter/referral information who submit your profile, • References (with your consent, before final offer), • Public professional profiles, • Background verification (post offer) Voluntary Diversity and Equal Opportunity Information • We may ask you to voluntarily provide diversity information including race/ethnicity, gender, disability status and veteran status (US). Providing this information is optional and Keeper collects this data in order to comply with EEOC and similar requirements 1. How We Use Your Data • Assess your application and suitability, • Manage interviews and recruitment workflow, • Consider you for other/future roles (we may seek your consent to keep your information on our systems beyond the retention period specified), • Comply with employment law obligations 1. Legal Basis • Legitimate Interests (recruitment management, security and integrity of the hiring process), • Contracting steps (for progressed candidates), • Legal and regulatory compliance obligations; explicit consent where required 1. Who We Share Information With Internal: • HR, hiring managers, interviewers*, IT support for system administration *Note - diversity and equal opportunity data is not shared with hiring managers. Third Parties: Service providers who assist with: • Applicant tracking, recruitment systems and assessment providers, • Background verification vendors (post offer), • Recruitment agencies (where applicable), • Tools to support communication, collaboration and to securely store your data Keeper ensures that all our third parties are contractually bound to protect your personal data with adequate safeguards in place. 1. International Transfers Your data may be accessed by Keeper entities globally as needed for the purposes of hiring and decision making. We protect any such data transfer between Keeper entities using appropriate safeguards under applicable data protection laws. 1. Security We implement appropriate technical and organizational measures to protect your data, consistent with our industry leading security standards. 1. Retention We keep your data for 24 months from your last application activity, then delete or anonymize it. Exceptions: • You opt into our talent database for further retention by providing consent (extended retention), • You're hired (transfers to employee records) 1. Your Rights You have the following rights and can contact us at the email below to exercise them: • Access, correct, or delete your data, subject to applicable law and retention requirements, • Object to or restrict processing, • Withdraw consent (where applicable), • Request data portability, • Lodge a complaint with your data protection authority If you become an employee, your rights regarding your employee record are governed by our internal Employee Privacy Notice and certain data will be retained as required under relevant laws such as employment or tax law. When you request access to your personal data, some information may be redacted if it includes the personal data of other individuals or information that we must protect in order to preserve their privacy rights. 1. Automated Decisions Keeper does not make hiring decisions using solely automated processing. 1. Contact - Candidates can send privacy questions to: privacy@keepersecurity.com

About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated Principal Machine Learning Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms. Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow. Responsibilities: • Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment., • Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively., • Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime., • Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases., • Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution., • Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency., • Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration., • Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge., • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience., • At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment., • Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields., • Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions., • Proficiency with Python is required, and experience with Golang is a plus., • Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently., • Experience working with relational databases, data warehouses, and using SQL to explore them., • Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner., • Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models., • Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations., • Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams. About You: • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed., • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things, • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking., • You earn trust - you listen attentively, speak candidly, and treat others respectfully. What Makes Working at Sezzle Awesome: At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. #Li-Remote

JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus. Wed love to chat if you have: • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science (machine learning & AI) to solve complex business problems, • Proficiency in SQL, Python, AWS, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes, • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics, • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases. Key Job Functions: • Design and develop machine learning and AI models detect/mitigate fraud, • Support stakeholders and cross-functional teams in effective usage of models, • Drive AI transformation for all risk management activities at BILL, • Work with product/engineering to implement, monitor and refine AI solutions and models Expected Outcomes: • Work closely with team members and stakeholders to consult, design, develop, and manage fraud models and AI solutions., • Utilize data analysis to design and implement fraud models, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Development of dashboard and visualizations to track KPI of fraud models implemented Preferred Skills: • Machine Learning & Artificial Intelligence, • Data Science, • Model development, • Dashboard Creation, • Project Management, • Strong Communication Skills. Notes from Hiring Manager: • Strong SQL proficiency, • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation, • Proficiency in AWS Quicksight and Tableau, • This is a hybrid position, so candidates must be based in the San Jose area. HM will entertain remote candidates if no viable local candidates can be sourced., • Strictly contract to cover multiple leaves over a 1 yr. period., • Potential to extend based on business need and performance., • Day shift: M-F Pacific time, • Multiple Zoom interviews (2-3) SQL assessment during 1st interview. MUST HAVE: • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science (machine learning & AI) to solve complex business problems, • Proficiency in SQL, Python, AWS, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

Note: We are recruiting on behalf of our valued client. This opportunity is for a position with their organization, not with People Culture Talent. We're excited to help connect talented professionals with this exceptional team! This is a Senior Security Lead role designed to lead the strategy and hands-on implementation of systems that protect the integrity of a multi-million user AI platform, shaping the future of how the world measures artificial intelligence. You’ll work across product, infrastructure, and data pipelines to proactively identify risks, embed security into core features, and build scalable defenses against abuse, fraud, and adversarial behavior. This is a builder role - you’ll not only set technical direction but also write the code, build the tools, and design the frameworks that make security and trust part of this product’s DNA. Own the product security vision, ensuring security and trust are core to every stage of the product lifecycle. Design and implement platform-wide security features, including Sybil resistance, bot detection, reputation systems, and anti-abuse primitives. Lead threat modeling and security architecture reviews for new and existing product features. Collaborate with infrastructure and product engineering to design secure APIs, data flows, and identity systems that scale. Improve developer velocity by creating secure-by-default frameworks and tooling for internal teams. Partner with incident response to quickly assess, contain, and remediate security events, and lead deep postmortems to improve defenses. Stay ahead of the curve by monitoring emerging attack techniques and applying cutting-edge security research to our platform. Mentor engineers across the company on secure coding practices, architecture trade-offs, and operational security. 8+ years of experience in software engineering or security engineering, including staff-level scope in securing large-scale, user-facing platforms. Proven track record designing and implementing systems to detect, mitigate, and prevent adversarial behavior (bots, Sybil attacks, automated abuse). Strong experience with threat modeling, secure architecture design, and risk assessment. Hands-on experience building security features into production systems at scale (millions of DAU / billions of requests). Proficiency in backend development (Node.js, TypeScript, Python, or Go) and willingness to work across the stack when needed. Strong knowledge of distributed systems security, identity, and authentication mechanisms. Excellent communication skills, able to build alignment across engineering, product, and leadership teams. Experience in adversarial ML, trust & safety systems, or securing voting/reputation platforms. Familiarity with advanced detection methods, user fingerprinting, or behavioral analytics. Contributions to open-source security tools or research. Background in securing real-time, interactive platforms at scale. Built real-time detection systems and post-processing pipelines to identify attacks on large scale systems Their openings span more than one career level. The starting salary for this role is $200k and could range up to $400k USD, plus equity. The provided salary depends on many factors, such as work experience and transferable skills, business needs and impact, and market demands. Comprehensive health, dental, vision, and additional support programs. The opportunity to work on cutting-edge AI with a small, mission-driven team. A culture that values transparency, trust, and community impact. Visa sponsorship available. This fast-growing startup is redefining what "better" means in AI. Built by researchers from UC Berkeley's SkyLab and backed by Felicis, Andreessen Horowitz, Kleiner Perkins, Lightspeed, and the University of California, this open evaluation platform has become the definitive source for understanding how AI models actually perform in the real world. With over a million daily users and the trust of every major AI lab — including OpenAI, Google, and Anthropic — their crowdsourced benchmarks and human preference data power the decisions shaping the future of artificial intelligence. Their leaderboards aren't just influential; they're the industry standard. Behind the platform is a team of researchers, engineers, and builders from UC Berkeley, Google, Stanford, DeepMind, and beyond — people who seek truth, move fast, and care deeply about craftsmanship and impact. They're building a company where deep expertise meets curiosity, and where the work genuinely matters.

Email is unlike any other medium in the world. With just an address, anyone can talk to anyone, no matter their location, status, or class. It’s democratized access, it’s a sacred privilege, and it’s worth protecting at all costs. Resend is building the most accessible email platform for developers. As we’ve grown to 1M+ users and continue to onboard thousands of new users every day, the pressure of maintaining a safe place for good senders continues to build up. As the first Data Analyst on our Trust & Safety squad, you will wear many investigative hats— identifying abuse patterns, analyzing behavioral signals, and developing scalable detection systems that prevent harmful users and enable good senders and scale. In this role, you will… Root-cause investigations of unexpected events or spikes Deeply understand and stay up to date on email abuse vectors and trends Define, instrument, and monitor key metrics: time to detect, false-positive rate, coverage, enforcement latency Build dashboards and reports for real-time and historical visibility into behavior and policy violations Analyze signal effectiveness: precision, recall, drift, overlap, etc Work with data engineering to shape data pipelines (ensuring data correctness, coverage, freshness) Partner with engineering & ops to A/B test rule changes, evaluate trade-offs, and iterate Who You Are.. 3+ years in data or analytics roles (ideally in security, fraud, or trust and safety) Fluent in SQL + data tooling (e.g. Looker, Mode, Metabase, BI) Comfortable working with large event/data sets Strong sense of measurement: you build metrics that drive decisions Good communicator—can explain nuanced analytics to non-data folks You thrive in ambiguity, can build frameworks out of thin air Experience with estimation, sampling, statistical validation Familiarity with prediction and classification models Comp: $105,000 - $145,000 USD, commensurate with experience Learn more about how we work in Trust and Safety: _ Trust & Safety investment blog post _ _ About Resend We are building the modern email sending platform for developers. We care deeply about quality, craft, and the developer experience. Our fully remote team of 45 spans 12 countries and counting. We're backed by a16z, Y Combinator, and others. _

Description Vouched is the identity trust layer for businesses that need to know who they are dealing with, across every touchpoint, transaction, and channel. We verify the people our customers serve through a full spectrum of methods: physical IDs, Digital IDs, and AI agents acting on behalf of consumers. We power identity verification for healthcare, financial services, and a growing list of industries, with hundreds of customers and verifications running at scale every day. Every day we also reject identities. Some are harmless: a developer testing an integration, a blurry photo, an honest mistake. Others are deliberate, sophisticated, and criminal. At our volume, the rejected pile is one of the richest fraud intelligence datasets in the country, and we are investing in the people and tradecraft to mine it fully. We are hiring a dedicated fraud investigator: someone who spent a career in law enforcement, government intelligence, or professional investigations and is hungry for a new kind of challenge. This is your chance to bring investigative tradecraft into the software industry and apply it at a fast-moving startup where your findings directly shape the product. You will live inside our stream of rejected and flagged identities. You will separate the innocent from the malicious, build cases on the bad actors, surface the techniques fraudsters are using before the rest of the market sees them, and turn what you learn into ammunition for our product and engineering teams. When the evidence warrants it, you will work alongside prosecutors to put fraud rings out of business. This is a builder's seat. You will write the playbook. Investigate fraud at scale. • Review and triage rejected and flagged identity verifications, distinguishing benign cases from genuine fraud., • Conduct deep-dive investigations into suspicious individuals, patterns, and networks, following the evidence wherever it leads., • Build and document cases to a standard that holds up under scrutiny. Uncover emerging threats • Identify new and evolving fraud techniques, including synthetic identities, document forgery, deepfakes, and coordinated ring activity., • Track fraud trends across customers and verticals, and raise the alarm early when something new appears., • Maintain awareness of the broader threat landscape and the tooling fraudsters use. Partner with law enforcement and prosecutors • Package evidence and coordinate with prosecutors, regulators, and law enforcement where appropriate., • Serve as Vouched's credible, trusted liaison to the investigative and legal community. Make the product smarter • Translate real investigations into clear, vivid stories and structured findings that product and engineering teams can act on., • Work directly with product to turn fraud intelligence into new detection signals, models, and features., • Help Vouched stay one step ahead of the people trying to beat us. Requirements • A substantial career in law enforcement, government intelligence, or professional investigations, and ready to bring that experience into an exciting startup environment., • Demonstrated investigative skill: you know how to follow a thread, build a case, and tell the difference between noise and a real threat., • Working understanding of cybersecurity and digital fraud concepts., • Experience coordinating with prosecutors or the broader legal and regulatory system., • A self-starter who thrives without a rigid playbook and is energized by ambiguity. Nice to Have • Direct experience with identity fraud, financial crime, document fraud, or cybercrime., • Familiarity with synthetic identity fraud, deepfakes, or AI-driven attacks., • Exposure to the software, fintech, or healthcare industries., • Comfort working with data and modern software tools, or eagerness to learn fast. Who You Are • An investigator at heart who misses the hunt and wants a new arena for it., • A clear communicator who can brief a prosecutor, an engineer, and a CEO with equal ease., • Energized by a startup pace and the chance to build something from scratch., • Driven by the mission of stopping real fraud that harms real people., • A genuinely novel role: bring decades of investigative experience into a fast-growing technology company., • Outsized impact: your findings flow straight into a product used to verify identities at national scale., • Front-row seat to the frontier of identity fraud, including the emerging world of AI agents and deepfakes., • Competitive compensation, meaningful equity, and comprehensive benefits., • Vouched is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive team. Benefits • Equity compensation, • Remote-first environment, • Flexible PTO and 11+ annual company holidays, • 401k, • Medical, dental, and vision coverage, • Wellness benefits (EAP, LifeHealth Online, One Medical, Perkpot), • Paid parental leave, • Pay scale: $160-$190k OTE This is a remote role - however, you must be based in the US (US work authorization required)

Shape the future of trust in the age of AI At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, _. Why join us: Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer. Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward. Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk. As a Data Scientist at Oscilar, you will be responsible for developing and implementing advanced fraud detection models to protect our customers’ business from fraudulent activities. As an early member in the ML team you will have great impact in building out our ML stack. Develop and implement advanced fraud detection models, leveraging machine learning and statistical techniques, to identify and prevent fraudulent activities across our platform. Collaborate with cross-functional teams, including engineering, product, and operations, to design and implement fraud detection systems and processes. Analyze large volumes of data to identify patterns, trends, and anomalies indicative of fraudulent behavior, and develop data-driven insights to improve fraud prevention strategies. Evaluate the performance of existing fraud detection models and systems, and continuously optimize and update them to adapt to changing fraud trends and tactics. Stay up-to-date with the latest trends and advancements in fraud detection, data science, and machine learning, and apply this knowledge to enhance our fraud prevention capabilities. Communicate complex data analysis and model performance results to both technical and non-technical stakeholders, driving data-driven decision-making across the organization. Ensure data privacy and security compliance in all aspects of fraud detection and data analysis. 3+ years of experience in data science, machine learning, or a related field, with a focus on fraud prevention and/or anti-money laundering. Proficiency in Python. Fluency in cloud development (AWS, GCP, Azure, etc.) and MLOps is a plus. Strong knowledge of machine learning algorithms and statistical techniques, with a focus on their application in fraud detection. Experience working with large datasets using distributed systems like Apache Spark and Dask, handling data-related challenges such as data cleaning, data quality, and data transformation and feature engineering at scale. Excellent analytical and problem-solving skills, with the ability to derive actionable insights from complex data. Strong communication skills, with the ability to explain complex concepts and findings to both technical and non-technical audiences. Ability to work independently and collaboratively in a fast-paced, dynamic startup environment. Experience in the fintech, marketplaces, or financial services industry. Knowledge of current fraud tactics and trends, as well as experience with fraud detection tools and systems. Compensation: Competitive salary and equity packages, including a 401k Flexibility: Remote-first culture — work from anywhere Health: 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US) Balance: Unlimited PTO policy Technical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product Culture: Family-Friendly environment; Regular team events and offsites Development: Unparalleled learning and professional development opportunities Impact: Making the internet safer by protecting online transactions

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. Socure is the leading provider of digital identity verification and fraud prevention solutions, leveraging AI and machine learning to power the most accurate decisions. Our mission is to eliminate identity fraud and ensure online trust across industries. As a Staff Data Scientist for RiskOS, you will sit at the intersection of platform data science, fraud and risk analytics, and Generative AI. You will own end‑to‑end development of data‑driven solutions on the RiskOS platform—from heavy‑duty data exploration and cleaning, through modeling and GenAI agent design, all the way to production deployment and monitoring. You will leverage your expertise in fraud and risk management to help develop and integrate robust detection and decisioning models, and your experience with Generative AI to design, evaluate, and operationalize LLM‑powered tools that improve analytics, workflows, and case investigations. You will collaborate closely with engineering and platform teams to build scalable, production‑grade pipelines and services, and with product and risk leaders to ensure RiskOS delivers actionable insights, self‑serve analytics, and best‑in‑class fraud prevention at scale. This is a highly collaborative, hands‑on technical leadership role for someone who enjoys owning complex data problems end‑to‑end and acting as a force multiplier for other data scientists and product teams. Develop and implement advanced analytics on top of noisy, heterogeneous RiskOS data to understand user behavior, product usage, fraud patterns, and workflow effectiveness; translate findings into concrete product and risk strategy improvements. Architect and build scalable data pipelines and production ML workflows, collaborating with data engineering to ensure robust, reliable, and efficient data processing for both batch and streaming use cases. Lead the design, execution, and analysis of experimentation frameworks to optimize user journeys, feature adoption, and workflow performance across the RiskOS platform. Lead the creation and evaluation of Generative AI solutions (LLMs, agents, prompt‑based tools) that automate analytics, power case review and investigation assistants, streamline documentation, and enhance RiskOS workflows and reporting. Define rigorous evaluation frameworks for GenAI solutions, including offline benchmarks, human‑in‑the‑loop review, safety and hallucination checks, and impact measurement in production. Partner with platform and engineering teams to define and build core RiskOS data science infrastructure, including feature stores, model‑serving APIs, evaluation services, and monitoring frameworks for both traditional ML and GenAI systems. Own end‑to‑end deployment of production‑grade solutions: packaging models and GenAI workflows, integrating with RiskOS services, establishing SLAs, and instrumenting telemetry, alerting, and feedback loops. Develop and automate tools for model evaluation, stress testing, backtesting, and adversarial scenario simulation to ensure robustness and operational resilience—especially in high‑risk fraud and compliance contexts. Enable product and risk teams through self‑serve analytics and tools: build dashboards, template analyses, and GenAI‑driven assistants that help non‑technical users explore RiskOS data, tune workflows, and debug decisions. Collaborate cross‑functionally with product, engineering, risk, solution consulting, and customer‑facing teams to translate business requirements into data‑driven solutions and actionable insights, particularly for fraud and risk use cases on RiskOS. Mentor and provide technical guidance to other data scientists and analysts, modeling best practices in experimentation, software engineering hygiene, GenAI safety, and rigorous model evaluation. Ensure all solutions adhere to best practices in data privacy, security, and compliance, especially when handling sensitive PII and financial data in regulated fintech and public‑sector environments. Contribute to company‑wide standards for ML and GenAI explainability, risk evaluation, feature logging, and documentation, helping raise the overall AI bar across Socure. Communicate complex technical concepts and findings clearly to both technical and non‑technical stakeholders, including executive leadership and external partners. Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related quantitative field, or equivalent professional experience. 6+ years of hands‑on experience in data science, machine learning, or high‑scale data engineering roles, with a proven track record in fraud prevention, risk analytics, or complex decisioning systems. Strong experience applying Generative AI in production or near‑production contexts, including: Building and evaluating LLM‑based applications or agents (e.g., retrieval‑augmented generation, workflow assistants, data‑insight copilots). Prompt design and optimization, safety and guardrail techniques, and quantitative/qualitative evaluation of LLM outputs. Deep proficiency in Python and SQL, with hands‑on experience using ML frameworks such as scikit‑learn, XGBoost, TensorFlow, or PyTorch, plus modern GenAI/LLM tooling (e.g., OpenAI/Anthropic APIs, Hugging Face ecosystems, orchestration frameworks). Demonstrated experience building and maintaining scalable data pipelines and deploying ML models in production environments, ideally involving streaming or near‑real‑time data and modern data platforms (e.g., Databricks, Spark, PySpark, BigQuery, or similar). Solid understanding of data engineering concepts, including ETL, data warehousing, schema design, and distributed computing. Experience with platform‑oriented data science: working with feature stores, model‑serving infrastructure, CI/CD for ML, automated monitoring, and feedback collection workflows. Hands‑on experience wrangling messy, high‑volume datasets: designing robust cleaning, normalization, and quality‑control processes; reasoning under missing or biased data; and building reusable data abstractions for other users. Familiarity with privacy‑preserving ML techniques, secure data handling, and regulatory requirements in fintech, credit, or public‑sector environments is strongly preferred. Proven ability to collaborate effectively in cross‑functional, fast‑paced teams; strong communication skills with comfort presenting trade‑offs and recommendations to senior stakeholders. Product‑minded and outcome‑oriented: you care about how models and GenAI tools are used, how they shape user experience and risk posture, and how to measure their real‑world impact. Direct experience with fraud/risk modeling, identity verification, or trust & safety. Prior work on orchestration platforms, case‑management tools, or rules/decision engines. Experience mentoring senior ICs and setting technical direction for a small data science group. Please note that we are unable to provide sponsorship for this role; now or in the future. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! | | |

Block builds technology to increase access to the global economy. Across our ecosystem, including Square and Cash App, we create tools that help businesses run and grow, and individuals move, manage, and grow their money with confidence. Square empowers sellers of all sizes with integrated, omnichannel tools to accept payments, manage operations, access financial services, and reach customers across online and in-person channels. Cash App complements this by providing a fast, accessible financial platform for millions of people to send, spend, save, invest, and borrow, helping redefine how individuals interact with money.Operating at massive scale across both ecosystems means trust and safety are foundational. Our teams build systems that protect real people and businesses, safeguard financial activity, and ensure our products remain reliable, secure, and easy to use. Block is a global, distributed company with a culture rooted in ownership, creativity, and impact. Whether supporting sellers on Square or customers on Cash App, we’re united by a shared mission: to make the global economy more accessible and inclusive. The Role Block has provided over $200 billion in credit to customers globally. Afterpay and Cash App Borrow are our two largest products in this space, expanding access to credit for consumers who are often underserved by traditional financial systems. Machine learning is the core of how these products work. Our models decide who gets credit, how much, and under what terms. They underwrite customers across a wide range of credit profiles, including many with thin or no traditional credit history. The modeling challenges are real: maintaining calibration across diverse borrower populations, designing features that generalize as the portfolio grows, and balancing approval rates against loss performance at every decision point. This requires strong fundamentals, disciplined experimentation, and continuous evaluation in production. On the Credit Modeling team, you will be a senior individual contributor building and evolving the ML systems behind these products. You will work across the full modeling lifecycle: problem formulation, feature development, training, calibration, experimentation, deployment, monitoring, and iteration. You will operate across one of these lending products with different borrower populations, repayment structures, and regulatory surfaces. We use agentic engineering and AI tooling to build reliable, high-velocity workflows that enable this work. That includes code generation, automated testing, documentation, and developer tooling. You will help define how these practices scale across the team in ways that are rigorous, auditable, and trusted. This is a team that values high output and rigor. We move fast, we test carefully, and we hold our work to a high standard because the models we build determine real credit outcomes for real people. This role is fully remote for candidates based in the US or Canada. You Will • Build, evaluate, and maintain underwriting and decisioning models across Cash App Borrow and Afterpay., • Design and evolve credit decision frameworks, including the modeling, automation, and policy logic that manage credit exposure over time., • Design and run experiments to evaluate model performance, measure impact on approval rates and loss, and inform credit policy decisions., • Develop deep understanding of borrower behavior, repayment dynamics, and portfolio structure across both products, and use that to inform model design and decision logic., • Contribute analysis and perspective that inform portfolio-level decisions, including explaining model behavior, tradeoffs, and uncertainty to senior technical and business leaders., • Work across the full modeling lifecycle: problem formulation, feature engineering, training, calibration, deployment, monitoring, and iteration in production., • Build agentic engineering workflows that accelerate development, testing, and documentation., • Collaborate with Product, Engineering, Legal, Compliance, and Operations to ensure credit systems reflect business goals and regulatory expectations., • Share modeling context and approaches across teams, helping align how credit risk is measured, interpreted, and discussed., • Shape how AI developer tooling is adopted across the team, defining review practices, quality standards, and governance patterns. You Have • A Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science). Advanced degrees welcome., • 10+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains., • Experience with probabilistic models and decision systems, including calibration, score transformations, and interpretation of model outputs., • Strong experimentation skills: you know how to design holdouts, measure lift, and evaluate models beyond aggregate metrics., • Experience with model monitoring, degradation detection, and retraining strategies in production systems., • Proficiency with AI-native development workflows. You use LLMs, agentic coding tools, and AI-assisted automation as a regular part of how you build and ship., • Experience explaining modeling concepts, results, and limitations to senior stakeholders and cross-functional partners., • Experience working across disciplines in environments with meaningful constraints. Technologies We Use and Teach • Python (NumPy, Pandas, scikit-learn, PyTorch, XGBoost, LightGBM), • AI development tools as core infrastructure: Claude Code, Cursor, Copilot, • MLflow for experiment tracking and model registry, • Internal feature store and model hosting platform, • Prefect and Airflow for orchestration, • SQL / Snowflake, • GitHub, • GCP / AWS We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our _. Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location’s zone designation, please refer to this _. If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $276,800—$415,200 USD Zone B: $276,800—$415,200 USD Zone C: $276,800—$415,200 USD Zone D: $276,800—$415,200 USD

About Extend: Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco. About the Role: The Revenue Analytics team is focused on developing strategic recommendations grounded in data to scale, drive, and recover revenue. We are experts at synthesizing different contexts from Sales, Growth, Product, Engineering, and Risk to identify growth and expansion opportunities that directly drive the company’s bottom line. If you have a passion for breaking down complexity and ambiguity into quantifiable impact, you’ll thrive on our team. What You Will Be Doing: • Cross-functional Champion: Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations., • Revenue Optimization: Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall., • Data-driven Insights: Lead the charge in improving our quantitative analysis techniques (simulation models, A/B testing, causal impact analysis, etc.) to better influence audiences on strategic direction, with opportunities to present these insights to leadership on a regular basis., • Data Infrastructure: Own, refine, and improve existing data pipelines to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities., • Role Model: Set the standard for the team in terms of analytical thinking and excellence. What We’re Looking For: • 5+ years experience in data science and/or consulting with strong emphasis on breaking down business problems into data driven impact., • Standout written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds, • Expert knowledge of SQL, Python, A/B testing, and Github, • Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically, • Empathetic, humble, and collaborative team player, • Advanced degree in data science, analytics, economics, statistics or similar quantitative field, • Candidates must be located within the continental United States Expected Pay Range: $125,000 - $135,000 per year salaried* • The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience. Life at Extend: • Working with a great team from diverse backgrounds in a collaborative and supportive environment., • Competitive salary based on experience, with full medical and dental & vision benefits., • Stock in an early-stage startup growing quickly., • Generous, flexible paid time off policy., • 401(k) with Financial Guidance from Morgan Stanley. _

Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - USA/Canada/Brazil From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About the Role: As a backend-focused Staff Software Engineer, you will own and lead the development of our compliance and financial crime prevention platform. This pivotal role involves designing, building, and maintaining critical systems that power KYC onboarding, sanctions screening, transaction monitoring, and regulatory reporting capabilities. This multifaceted position involves developing new features at scale, driving technical strategy, refining internal tooling and processes, mentoring engineers, and assuming broad ownership across the platform. You will operate as a technical leader with influence beyond your immediate team, partnering with stakeholders across the organization to solve complex problems in a highly regulated domain. The ideal candidate has a proven track record in building highly available APIs, robust data integrations, and leading technical initiatives from conception to delivery. Prior experience in the AML/CFT compliance domain is a plus, but not required. What you’ll be doing: Architect, design, and implement robust, efficient, and reliable backend services for KYC workflows, sanctions screening engines, and alert management systems Build and optimize case management and alert creation pipelines that enable investigators to efficiently review and disposition suspicious activity Develop and maintain integrations with regulatory reporting systems, including SAR filing and GoAML submissions Collaborate closely with compliance stakeholders, product teams, and other engineering teams to translate regulatory requirements into scalable technical solutions Contribute to developing new features and capabilities that enhance detection accuracy, reduce false positives, and streamline investigator workflows Craft and maintain technical documentation for compliance systems, ensuring auditability and facilitating regulatory examinations Play a pivotal role in shaping our company's engineering culture, ensuring the maintenance of high engineering standards across the organization What you’ll need: A minimum of 7 years of proven experience as a Software Engineer specializing in web backend development and complex system integrations A track record of successfully delivering high-quality production services, particularly those involving high-throughput data processing and real-time screening Proficiency in Golang is a significant advantage Proficient in English—from casual chats to formal reports Nice to Have: Experience in regulated industries such as financial services (AML/KYC), healthcare (HIPAA), background screening, payment security (PCI-DSS), or similar compliance-driven environments Familiarity with SAR/STR filing processes and GoAML or similar regulatory reporting formats Experience with case management systems, alert workflows, and investigation tooling Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. We are looking for a Senior Product Manager to own critical components of Socure’s Document Verification (DocV) platform, with a focus on the forensic engine, decisioning logic, and computer vision models. This role sits at the intersection of machine learning, fraud detection, and product decisioning, and is responsible for driving the systems that translate signals into outcomes. You will work closely with Data Science and Engineering to improve detection of fraud vectors such as injection attacks, deepfakes, and document manipulation, while also shaping how those signals are operationalized into scalable and configurable decisioning frameworks. This is a highly technical and impact-driven role requiring strong product judgment, deep curiosity about fraud patterns, and the ability to translate complex model behavior into clear product logic and customer-facing outcomes. Forensic Engine & Detection Strategy Own the roadmap and execution for DocV’s forensic engine, including detection of document fraud, injection attacks, and AI-generated content. Support efforts to scale DocV adoption globally, including in the public sector, financial services, and emerging markets. Partner with Data Science to define, evaluate, and improve model performance across key fraud vectors. Identify gaps in detection coverage and drive new signal development across image, video, and device layers. Decisioning & Risk Logic Design and evolve decisioning frameworks that translate model outputs into actionable outcomes. Build scalable, configurable logic that supports diverse customer risk profiles and use cases. Balance fraud detection performance with user experience and conversion impact. Customer-Centric Product Development Work closely with high-value customers to understand fraud patterns, edge cases, and operational needs. Translate customer feedback into product improvements and prioritization decisions. Support complex customer implementations and act as a subject matter expert in DocV decisioning. Cross-Functional Leadership Collaborate with Engineering and Data Science to translate product requirements into technical execution. Partner with the Fraud Investigation team, Customer Success, and Sales to align on product behavior and outcomes. Drive alignment on tradeoffs between detection accuracy, false positives, and business impact. Data & Performance Analysis Use SQL and analytics tools to evaluate model performance, decisioning outcomes, and conversion impact. Define and track key metrics related to fraud detection, model precision/recall, and user experience. Conduct deep dives into fraud patterns and emerging attack vectors. Go-To-Market & Enablement Support product launches and enhancements with clear positioning and documentation. Enable internal teams and customers to understand and effectively use decisioning capabilities. Experience: 3–5 years in product management, preferably in identity verification, fraud prevention, or other ML-driven products. Technical Expertise: Strong understanding of APIs, SQL queries, databases, and product architecture. Machine Learning Familiarity: Experience working closely with ML models, including understanding model outputs, evaluation metrics, and tradeoffs. Computer Vision (Preferred): Exposure to image processing, OCR, or document verification systems is a strong plus. Fraud & Identity Domain Knowledge: Familiarity with fraud detection techniques, identity verification flows, or risk-based decisioning systems. Analytical Skills: Comfortable working with data, writing queries, and deriving insights to inform product decisions. Product Judgment: Ability to balance technical complexity, customer needs, and business impact in decision-making. Customer Focus: Experience working directly with customers, especially in complex or high-stakes environments. Communication: Strong ability to explain complex technical concepts clearly to both technical and non-technical audiences. Collaboration: Proven ability to work cross-functionally with Engineering, Data Science, and go-to-market teams. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! | | |

About DataVisor DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Summary: As a Senior Account Manager, you will be responsible for nurturing and expanding relationships with our largest and most strategic enterprise customers. You will act as a trusted advisor, ensuring customer success, driving adoption, and identifying opportunities for significant expansion and upsell within existing accounts. This role requires a deep understanding of our customers' business needs and the ability to align DataVisor's solutions to achieve their strategic objectives, specifically managing accounts up to $10M ARR in aggregate and driving incremental upsell. Responsibilities: • Manage and grow a portfolio of strategic enterprise accounts, focusing on long-term partnerships and customer success., • Develop and execute strategic account plans to achieve revenue growth targets within assigned accounts, including significant upsells and expansions., • Build and maintain strong relationships with key stakeholders at all levels within customer organizations, including C-level executives., • Understand customers' business challenges and objectives, and proactively identify opportunities to leverage DataVisor's solutions to drive value and ROI., • Drive product adoption and ensure customer satisfaction through regular engagement, business reviews, and strategic planning sessions., • Identify and pursue upsell and cross-sell opportunities within existing accounts, focusing on expansion into new business units and use cases., • Collaborate with internal teams, including Customer Success, Product, and Engineering, to ensure customer needs are met and issues are resolved promptly., • Accurately forecast revenue and growth opportunities within assigned accounts., • Maintain accurate and up-to-date records in Salesforce.com., • Lead contract negotiations and renewals for strategic accounts., • At least 6 years of experience in enterprise SaaS sales or account management, with a focus on managing and growing large, strategic accounts., • Proven track record of successfully managing accounts with up to $10M+ ARR and driving significant upsell revenue., • Deep understanding of the Fraud/Regtech solutions landscape and the financial services industry., • Strong executive presence and ability to engage with C-level and VP-level executives., • Excellent communication, presentation, and relationship-building skills., • Strategic thinker with the ability to develop and execute account plans that drive growth and customer success., • Experience with contract negotiations and renewals., • Strong understanding of SaaS business models and metrics., • Ability to collaborate effectively with cross-functional teams., • Self-motivated, results-oriented, and able to thrive in a fast-paced environment., • Bachelor’s degree or equivalent experience required. Health Insurance, Stock options, 401k, PTO Compensation range: $140K-$160K base salary per year, OTE $280 -$320K, Negotiable_

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated Principal Machine Learning Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms. Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow. Responsibilities: • Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment., • Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively., • Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime., • Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases., • Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution., • Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency., • Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration., • Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge., • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience., • At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment., • Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields., • Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions., • Proficiency with Python is required, and experience with Golang is a plus., • Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently., • Experience working with relational databases, data warehouses, and using SQL to explore them., • Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner., • Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models., • Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations., • Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams. About You: • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed., • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things, • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking., • You earn trust - you listen attentively, speak candidly, and treat others respectfully. What Makes Working at Sezzle Awesome: At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. #Li-Remote

About the company Kodex revolutionizes how organizations handle sensitive subpoenas and data requests from law enforcement and government agencies. Founded by a former FBI agent and backed by leading investors including Andreessen Horowitz, Y Combinator, Peak XV and Thiel Capital, Kodex has become the industry standard for secure data exchange. Our platform supports over 15,000 government agencies in 190 countries and is trusted by industry leaders like Coinbase, Stripe, and AT&T. By transforming a traditionally complex and manual process into a streamlined digital workflow, Kodex helps organizations strengthen compliance, enhance security, and reduce operational costs by millions each year. We bridge the gap between companies and authorized requestors, ensuring that sensitive data is handled with uncompromising security, transparency, and efficiency. About the Role We’re hiring an ML Engineer to join Kodex’s Verifications / Threat Intel org and help build the intelligence layer that protects our platform — detecting suspicious activity, improving verification accuracy, and turning messy real-world signals into scalable, auditable systems. This role sits at the intersection of product, data, and security. You’ll partner closely with Threat Intel operators and engineers to translate investigative workflows into production-grade models, pipelines, and decision-support tooling. You’ll also help evolve our current approach beyond noisy, brittle heuristics toward systems that are measurable, explainable, and safe to operate. What You’ll Do You’ll work across the full lifecycle — from problem framing and data exploration through deployment, monitoring, and iteration. Example areas include: Build and deploy models to detect and flag suspicious behavior (classification, anomaly detection, clustering, ranking, and other approaches as appropriate) Own ML pipelines end-to-end (feature generation, training, evaluation, batch/streaming inference, backfills, and versioning) Design evaluation + monitoring: ground truth strategies with Threat Intel, offline metrics, drift monitoring, and alerting Collaborate with product & engineering to integrate intelligence into user-facing workflows (e.g., review queues, and decision-support tooling) Improve data quality and accessibility by working with data engineering patterns (schemas, lineage, reproducibility, and access controls) Contribute to operational rigor: runbooks, incident response, and safe rollout practices for systems that impact customer trust You Might Be a Fit If You… Have 4+ years of experience building software ML systems in production Experience in fraud, abuse, trust & safety, risk, or security analytics Have experience with modern ML/DS workflows: experimentation, evaluation, and deploying models that other teams rely on Are comfortable with data pipelines and messy real-world data (instrumentation gaps, bias, label noise, and changing definitions) Think carefully about reliability and safety (rollbacks, guardrails, human-in-the-loop review, and audit-ability) Communicate clearly across disciplines and can turn ambiguous investigative needs into well-scoped engineering work Are pragmatic: you know when to start with a baseline and when to invest in stronger modeling/infra Bonus Familiarity with LLMs / RAG / agentic workflows for internal tooling or decision support Experience in compliance-sensitive environments (privacy, access controls, and audit trails) Engineering at Kodex We care deeply about the software we build — because our work protects real people. Kodex plays a critical role in helping major companies respond securely and transparently to sensitive data requests from law enforcement, enabling both privacy protection and public safety. Our engineering culture is built on trust, autonomy, and technical rigor. Our engineers: Own projects end to end Collaborate without ego Invest in quality and velocity Act as force-multipliers for one another This is a place where the best idea wins, and your work has real impact, every day. Our Stack Core: TypeScript, Node.js, Postgres, AWS Data: Databricks (and adjacent data tooling) We also build AI capabilities across the platform (document processing, internal tooling, and automation) and collaborate across teams when it accelerates impact. Benefits Remote-first within the U.S. Biannual offsites in exciting locations. Past trips include Seattle, Miami, Nashville, and San Francisco Competitive salary and meaningful equity Unlimited PTO + 14 company holidays 12 weeks of fully paid parental leave, with a flexible return-to-work policy Comprehensive medical, dental, and vision plans 401(k) retirement plan Equal Employment Opportunities at the Company Kodex is committed to hiring talented and qualified individuals with diverse backgrounds for all of its tech, non-tech, and leadership roles. Kodex believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.

Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: 524 Broadway, Floor 10, New York, NY 10012. This position may be performed 100% remotely from anywhere within the United States. Position Duties: Design, implement, and maintain high-performance backend services built in Golang and deployed across Google Cloud Platform (GCP) and AWS, ensuring systems are robust and optimized for reliability and long-term maintainability; Collaborate with business stakeholders for development of compliance-focused products used by banks, fintechs, and other financial institutions, including products focused on financial risk, reconciliation, and fraud detection; Build and Implement API’s for banking or payment systems. Partner with cross-functional engineering and product teams to coordinate development efforts; Develop, refine, and maintain user-facing technical documentation, ensuring clarity, accuracy, and accessibility to support users; Own the full product lifecycle, including design, implementation, and end-to-end testing, using Cypress, Junit, or Mockito, ensuring reliable delivery, continuous improvement, and adherence to high quality standards throughout each development phase. Requirements: Master’s degree in Computer Science or related field; plus 1 year of experience required in the following: Integrating/Building API’s for banking or payment systems Building products focused on financial risk, reconciliation, or fraud detection Web Backend Development Developing production application using Go (Golang) Implementing end-to-end test automation using Cypress, Junit, or Mockito AWS Cloud Core banking integrations Compensation: $170,000 per year Apply to: Sierra Chantal, 524 Broadway, Floor 10, New York, NY, 10012 (415) 302-2424 _ Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

Astra is a high-impact engineering team building mission-critical financial infrastructure. Our fintech platform powers payment processing, fraud detection, and financial compliance for businesses handling 100M+ in weekly transaction volume. We maintain 99.9%+ uptime, process complex cross-border payments, and coordinate with multiple third-party financial services while meeting strict regulatory requirements. We're looking for a Senior Backend Engineer to architect and build complex financial systems that process millions of dollars daily. You'll be one of our core engineers designing cross-domain solutions that coordinate payments, fraud detection, compliance, and user management across our distributed microservices architecture. This role requires deep systems thinking, technical leadership, and the ability to solve complex engineering challenges that span multiple domains and external integrations. Architect Critical Financial Systems: Design and implement payment processing, fraud detection, and compliance systems that handle millions of dollars daily with strict regulatory requirements Lead Cross-Domain Solutions: Coordinate complex interactions between payments, fraud detection, user management, and compliance systems Drive Technical Decisions: Lead architecture decisions that impact our entire platform and establish best practices for a growing team Mentor Engineers: Guide junior engineers and establish coding standards, design patterns, and engineering practices Optimize System Performance: Improve reliability and performance across our distributed microservices architecture Collaborate Across Teams: Work closely with product and compliance teams to design systems that meet business and regulatory requirements Senior Backend Engineer Requirements 5+ years of software engineering experience building complex, production systems Demonstrated systems engineering experience solving complex, cross-domain challenges Strong foundation in algorithms, data structures, and computer science fundamentals Experience with distributed systems, event-driven architectures, and microservices Education Bachelor's degree in Computer Science, Engineering, or related field required Master's degree in Computer Science or Engineering from an accredited university highly preferred Technical Skills Backend Development: Python (we use Python 3), strong understanding of web frameworks and APIs Database Design: Experience with NoSQL and SQL databases Cloud Infrastructure: Google Cloud Platform, or similar cloud platforms Architecture Patterns: Domain-driven design, clean architecture, CQRS System Design: Ability to design systems that balance performance, maintainability, and business requirements Preferred Experience Financial Systems: Payment processing, fraud detection, or compliance systems Financial Regulations: Understanding of AML, KYC, PCI DSS, or similar regulations Banking Integrations: Experience with financial APIs and money movement systems High-Scale Systems: Experience with systems processing high transaction volumes Third-Party Integrations: Experience coordinating multiple external service integrations Direct Impact: You'll be a big part of a small engineering team building systems that power a growing fintech platform Architecture Influence: Lead technical decisions that will scale with our business Complex Problems: Work on sophisticated challenges that few engineers get to solve Team Building: Establish engineering practices and culture from the ground up Financial Innovation: Build systems that enable new financial products and services Competitive compensation with equity in a growing fintech company Remote-first culture with flexible working arrangements Small team, big impact - your work directly shapes our platform Professional growth - lead technical decisions and mentor team members Modern tech stack - work with cutting-edge cloud technologies Mission-driven - build systems that power financial innovation Astra is a remote-first company hiring only within the U.S. We value thoughtful collaboration, clarity, and initiative. We’re proud to be an equal opportunity employer and are committed to building a diverse and inclusive team. We're looking for engineers who are excited by complex systems problems and have the educational background and experience to handle sophisticated challenges. If you're passionate about building mission-critical financial infrastructure and want to have a direct impact on our technical direction, we'd love to hear from you.

Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes. _ We are seeking a Senior Applied AI Engineer to build, tune, and deploy state-of-the-art audio deepfake detection models in real-world client environments. This is a highly cross-functional client-facing role requiring close collaboration with Research, Production Engineering, and Customer Success teams. You will be responsible not just for model development, but for ensuring robustness, reliability, and performance under diverse real-world test conditions — including adversarial and edge-case scenarios. This role requires deep hands-on expertise in model building, training, benchmarking, and productionization — along with the ability to translate complex model behavior into actionable insights for both technical and non-technical stakeholders. Design, build, and optimize ML/DL models for production-scale audio deepfake detection. Interface with clients to build a deep understanding of the production environment and scope out model performance criteria. Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies that span across Engineering and AI. Drive model tuning and iteration for performance under a variety of real-world environments, e.g. compression artifacts, noise, telephony, and streaming pipelines. Design and execute structured experimentation roadmaps, centered around client requirements, anticipated future attack vectors, and proactive system resilience. Collaborate with cross-functional partners (Applied Scientists, Deployment Engineers, Product teams) to deploy robust and scalable models. Present technical findings and model performance insights to clients as well as internal stakeholders. Master’s or PhD in Computer Science, Machine Learning, Signal Processing, or related field (or equivalent industry experience). 2+ years of industry experience building and deploying ML/DL models for AI products. Strong programming skills in Python and model ML frameworks (PyTorch, JAX). Solid understanding of audio processing fundamentals, classification and detection metrics (ROC, DET curves, precision/recall trade-offs), model robustness and evaluation. Proven experience with large-scale training and benchmarking pipelines Prior experience in a client-facing or solutions-oriented AI role is a plus. Reality Defender offers the following benefits to all our employees, regardless of location: Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents Dental and Vision plans with 100% premium coverage for employees and their dependents Short/Long-term disability and life insurance plans with 100% premium coverage for employees FSA/HSA and 401k programs Equity compensation 20 days of PTO per year 12 weeks of Parental Leave Learning and Development budget Monthly wellness benefits Annual company-sponsored offsite For employees working from Reality Defender’s HQ in NYC, we offer the following benefits: Daily in-office lunch through UberEats Commuter benefits Remote Fridays Happy Hours and other local events

About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Product manager • CSPO, • Product Management: Senior Software Development Lead Job Description: Senior Product Manager – Payment IntegrityRole Overview· The Senior Product Manager – Payment Integrity will lead the strategy, roadmap, and execution for products and capabilities that ensure accurate, compliant, and cost efficient payments across the organization. This role drives initiatives that prevent incorrect payments, improve claims accuracy, optimize reimbursement processes, and enhance overall financial integrity. You will collaborate with engineering, operations, analytics, compliance, and external stakeholders to deliver solutions that reduce payment leakage and improve operational performance. Key ResponsibilitiesProduct Strategy & Vision· Define and own the end to end product vision and multi year roadmap for Payment Integrity products (pre payment, post payment, claims analytics, audit workflows, rules engines, etc.).· Identify market, regulatory, and industry trends to shape strategic product decisions.· Develop business cases, cost–benefit analyses, and value propositions for new capabilities.Execution & Delivery· Lead cross functional teams (engineering, data science, claims operations, finance) to deliver scalable Payment Integrity solutions.· Translate business needs into actionable product requirements, user stories, and acceptance criteria.· Prioritize the product backlog using a data driven approach while balancing long term strategy and short term wins.· Drive iteration planning, sprint reviews, and release cycles with engineering.Operational & Financial Impact· Ensure solutions reduce payment leakage, improve claims accuracy, and support audit effectiveness.· Partner with finance and operations to track product performance through KPIs such as overpayment recovery rate, detection yield, cost avoidance, and operational efficiency.· Continuously optimize rules engines, fraud/waste/abuse detection algorithms, and workflow systems.Stakeholder Management· Work closely with internal teams (Compliance, Legal, Provider Management, Medical Policy) to ensure solutions meet regulatory and audit requirements.· Partner with external vendors, payment integrity service providers, and technology partners.· Communicate product vision, updates, and performance metrics to senior leadership.User Experience & Product Quality· Advocate for intuitive user experiences for auditors, analysts, clinicians, and claims processors.· Ensure robust product documentation, training materials, and operational readiness.· Drive continuous improvement by collecting user feedback and monitoring adoption.Required Qualifications· 6+ years of product management experience, preferably in healthcare, insurance, payment integrity, claims processing, or fintech risk & controls.· Strong understanding of claims lifecycle, reimbursement methodologies, pre payment edits, post payment audits, and fraud/waste/abuse detection.· Experience working with engineering, analytics, and data science teams.· Proficient with data analysis, KPI development, and financial impact modeling.· Exceptional communication, stakeholder management, and leadership skills.· Ability to prioritize in a fast paced environment with competing demands. Preferred Qualifications· Experience with payment integrity platforms, claims adjudication systems, workflow tools, or rules engines.· Background in healthcare regulations (CMS, Medicare/Medicaid guidelines, ICD/CPT coding).· Exposure to machine learning based anomaly detection or predictive models.· Product certifications (CSPO, Pragmatic PM, AIPMM, etc.).· MBA or equivalent experience in strategy-heavy roles.Success Measures· Reduction in payment leakage and increase in cost avoidance.· Improved claims accuracy and audit efficiency.· Delivery of high impact features aligned with roadmap timelines.· Strong adoption$75 - $78 an hourKnow more about Brillio : https://www.brillio.com/join-us/ PPE: https://www.brillio.com/platform-and-product-engineering/ Equal Employment Opportunity DeclarationBrillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation. #LI-PS1 Know what it’s like to work and grow at Brillio: _We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated Principal Machine Learning Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms. Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow. Responsibilities: • Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment., • Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively., • Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime., • Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases., • Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution., • Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency., • Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration., • Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge., • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience., • At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment., • Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields., • Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions., • Proficiency with Python is required, and experience with Golang is a plus., • Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently., • Experience working with relational databases, data warehouses, and using SQL to explore them., • Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner., • Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models., • Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations., • Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams. About You: • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed., • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things, • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking., • You earn trust - you listen attentively, speak candidly, and treat others respectfully. What Makes Working at Sezzle Awesome: At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. #Li-Remote

Type: Full-Time Location: USA - Remote Please note: Our client is not able to hire or employ workers in: California, Montana or Hawaii. Industry: Software (AI) Specialty: Identity verification, fraud prevention, background screening, and risk intelligence. Our publicly traded client develops proprietary technology and analytics to deliver identity intelligence, powering critical solutions that help organizations operate confidently. Their solutions enable real-time identification and location of people, businesses, assets, and their relationships for risk mitigation, due diligence, fraud prevention, regulatory compliance, and customer acquisition. These solutions support frictionless commerce, enhance safety, reduce fraud, and lower related societal costs. Design, build, and maintain high-availability services and REST APIs. Develop scalable cloud-native applications and data-intensive systems. Add features and enhance responsive web applications. Debug production issues and continuously improve system performance. Participate in code reviews, testing, and architectural decisions. Education Bachelor's degree in Computer Science, Engineering -or- Equivalent industry experience Experience 10+ years of software engineering experience is preferred. Experience working with large-scale datasets and data-driven applications building cloud-native applications in distributed environment. Background in identity, authentication, fraud prevention, risk, or security platforms is highly desirable. Significant full-stack software development Tech Stack: TypeScript / Node Vue PostgreSQL REST APIs AWS Strengths Ownership mindset with a bias toward action. Strong problem-solving and system design skills. Passion for clean, maintainable code. Collaborative approach with a customer centric focus. Where addressing customer feedback to create a better product is Ability to thrive in a fast-paced engineering environment. Big Data | Problem Solving | Strong Team of High Performers Leveraging cutting edge AI tooling for developer productivity (our client has enterprise subscriptions for Claude / Codex / Kiro with basically no limits on usage) You thrive in communicative, collaborative, cross-functional environments. Excited to work on identity verification, risk mitigation, due diligence, fraud detection and Benefits: stock (RSU) grants, a 401K and generous company match, flexible PTO policy, medical, dental and vision coverage, commuter benefits, in-office healthy snacks, team events Our client is a proud to be an Equal Opportunity Employer.

About OpenRouter OpenRouter is the AI routing and infrastructure layer that AI builders, AI-native startups, and enterprises use to access, manage, and optimize their AI usage all through a unified API, billing interface, and analytics platform. We power some of the most advanced AI builders in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve. As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads. We are hiring a Trust & Safety Lead to build and own OpenRouter’s Trust, Safety, and Compliance function. This is a 0 → 1 role. You will define policy, build systems, and handle operations, then scale the function over time. Core Challenges Enforcing different model provider policies through a unified API Preventing users from routing around restrictions Designing sanctions and export controls with imperfect signals Balancing developer experience with enterprise controls Detecting coordinated abuse across accounts, usage, and payments Policy & Enforcement Define policies across accounts, payments, and API usage Ensure compliance with sanctions and regulatory requirements Translate provider policies into platform-level enforcement Design enforcement actions and appeals Systems & Risk Build a risk-based system driven by aggregated signals Develop unified risk scoring and tiered enforcement Partner with engineering on sanctions controls, identity validation, and enforcement systems Introduce ML-assisted detection for fraud and abuse Operations (0 → 1) Handle investigations, enforcement decisions, and appeals Build workflows while operating them Use AI for triage and decision support Turn operational learnings into scalable systems Provider & Enterprise Partner with model providers on policy alignment and escalations Define enterprise controls (allowlists, policies, auditability) Coordinate across engineering, legal, and go-to-market Scale Build and scale the function across policy, systems, and operations Establish monitoring, escalation frameworks, and KPIs Experience building or scaling trust & safety, risk, or compliance systems Strong understanding of sanctions, fraud, and enforcement systems Experience working cross-functionally with engineering, legal, and operations Ability to design and operate data-driven systems Builder mindset with comfort in 0 → 1 and ambiguous environments Work at the center of the AI infrastructure stack as enterprises define how they adopt LLMs. High ownership and visibility with direct impact on how OpenRouter is perceived in the market. Competitive compensation, including base salary and equity. Fully remote team with a strong culture of autonomy and trust.

About Us: Spreedly is the world's leading Open Payments Platform, sitting at the center of a network processing more than $50b of GMV annually. Spreedly's Payments Orchestration platform enables and optimizes digital transactions with the world’s most complete payment services marketplace. Built on Spreedly’s PCI-compliant architecture, our Advanced Vault solution combines a modern feature-set with rule-based configurations to optimize the vaulting experience for all stored payment methods. Global enterprises and hyper-growth companies grow their digital business faster by relying on our payments platform. Hundreds of customers worldwide secure card data in our PCI-compliant vault and use tokenized card data to enable and optimize over $45 billion of annual transaction volumes with any payment service. Our vision is that the world is better with a diversified, inclusive payment ecosystem. Our mission is to accelerate commerce with an open, secure, and flexible payment platform that welcomes all payment participants. Our employees help us execute our vision by building a culture focused on autonomy, transparency, and collaboration in a dynamic, high-growth organization. Product Offering: Spreedly provides an open payments platform. The platform’s connectivity provides payments performance. Key products and services include: Payment Gateway Integration: Connects merchants, platforms, and marketplaces to multiple payment gateways and payment services.Tokenization: Securely stores and manages payment data with a universal tokenization service.Transaction Routing: Enables intelligent routing of transactions to optimize success rates and costs.Payment Vault: A secure storage solution for sensitive payment information.Fraud Tools Integration: Integrates with various fraud prevention tools to enhance transaction security. About the Role: As a Senior Systems Engineer at Spreedly, you'll play a key role in scaling and strengthening a platform that demands resilience at every layer. This position is grounded in practical execution, as you'll be central to initiatives that advance reliability and operational maturity across our infrastructure. You'll collaborate with teams throughout the organization to simplify systems, enhance stability, and ensure that changes are safe, observable, and repeatable. • Automation & CI/CD: Support and evolve our build and deployment pipelines (AWS Developer Tools, GitHub Actions) to improve reliability, speed, and developer autonomy., • Infrastructure as Code: Implement, improve, and maintain IaC (Terraform, Ansible, Packer) to provision and manage infrastructure in a repeatable, auditable, and scalable manner., • Reliability & Observability: Apply SRE principles to proactively monitor system health and meet strict availability targets. Use tools like Datadog, AWS native tooling, and OpenTelemetry to create actionable dashboards and alerts, enabling adherence to crucial SLOs., • System Resiliency: Stabilize critical infrastructure by designing for fault tolerance at every layer through early failure detection, graceful degradation, and automated recovery mechanisms. Continuously reduce MTTD and MTTR through continuously improved alerting, runbooks designed for rapid execution, and streamlined recovery workflows., • Platform Modernization: Improve infrastructure maturity through clear, incremental changes that promote simplicity, reduce legacy complexity, and strengthen the integrity and standardization of the platform as it evolves., • Security & Compliance: Contribute to infrastructure that meets compliance standards by ensuring controls around access, data protection, and deployment integrity are built into the platform., • Simplicity & Maintainability: Build and maintain a clean, well-documented, and consistent platform. Favor clarity, shared ownership, and design choices that minimize operational overhead., • Operational Support: Take ownership of system issues through thoughtful troubleshooting and root cause analysis, improving the platform along the way wherever possible. Participate in an on-call rotation to support 24/7 API operations., • Collaborative Growth: Strengthen shared expertise throughout the team and organization by contributing to a culture of reciprocal learning—sharing knowledge, seeking input, and collaborating openly across experience levels., • Strong background operating and scaling systems in AWS with a solid understanding of core services such as EC2, IAM, VPC, S3, CloudWatch, etc., • Experience with DevOps and/or GitOps and an understanding of CI/CD methods., • Proficient with infrastructure as code and configuration management tooling (Terraform, Ansible, Packer, etc.)., • Comfortable working in and troubleshooting Linux environments—specifically Amazon Linux and Ubuntu distributions and their ecosystems., • Experience with databases (CockroachDB, Postgres) and middleware infrastructure (Kafka)., • Proficiency in modern CDN and edge platforms, including configuration and perform, • Experience with containers and container orchestration (Docker, ECS, EKS, Kubernetes)., • Able to deliver solutions in support of applications written in Ruby on Rails and Elixir., • Some programming proficiency in Python or Go. You might even be a software engineer with a focus or passion for infrastructure!, • A desire to mentor other engineers and foster a collaborative environment to improve our software development processes., • Willingness to be a generalist and dig into new things you've never done before., • A pragmatic, action-oriented approach alongside a willingness to fail fast and pivot., • Ability to sort out immediate priorities from quickly evolving needs of a rapidly growing organization., • Experience with systems like Heroku, Fastly, etc., • Payments industry experience and/or exposure to PCI, SOC2, or similar compliance environments., • Maturity in running projects end-to-end, including breaking down work, ensuring completion, and follow-up., • Competitive salary + Equity, • Outstanding Medical and Dental benefits, including 100% employer-paid options, • Company-paid Life and Disability insurance, • Optional vision and supplemental insurance options, and various Flexible Spending Accounts (FSA), • Open Paid Time Off policy + 12 weeks of paid leave for new parents, • Matching 401(k) plan (5% up to $5,000 yearly), • Monthly home working/digital lifestyle stipend, new MacBook, and one-time accessory reimbursement, • $1,000 annual professional development stipend, • Access to company-paid professional coaching service, • Visits to HQ in Durham, North Carolina for remote employees#LI-AE1 Spreedly is an equal opportunity employer. We are committed to fostering, cultivating, and preserving a culture of diversity, equity, inclusion, and belonging. We actively work to drive out even unintentional discrimination in our hiring processes via practices like blindly graded work samples, structured interviews, and diversity awareness training. Due to the sensitive nature of what Spreedly does - handling payment data - finalist candidates must complete a successful background and reference check. At this time Spreedly is unable to provide sponsorship for employment, and we are not set up to support remote employees who reside in California or New York. In order to be considered for employment, applicants must be currently legally authorized to work in the job location country and not require future sponsorship in order to continue working in that country. We appreciate your interest in our company. Because of the high volume of resume flow, we may only respond to those candidates that we think will be a potential fit.

Border Patrol Agent (BPA) – in the Federal Security and Public Safety Sector Experienced (GL-9 GS-11) SAME MISSION, NEW DRIVE! You love protecting your community and doing your part to keep our nation safe. But maybe you’re looking for a change of scenery? USBP is hiring immediately for full-time, career positions, where your prior law enforcement officer (LEO) experience may qualify you for higher-graded Border Patrol Agent (BPA) opportunities. Continue making a difference with the nation's premier federal agency charged with securing our borders and protecting our country. Whether you gained this experience as part of a military police unit or as a member of a state or local law enforcement organization, you have an opportunity to work with highly trained professionals whose camaraderie, pride, and purpose are hallmarks of their daily mission. Check out the duties and responsibilities section below, along with the qualifications section to see if you are eligible. Now is the time to make your move, along with excellent base pay, location pay, exceptional benefits, and job stability, USBP is offering up to $60,000 in additional incentives to newly appointed Agents (see details below). DON’T FORGET TO CHECK OUT THE INCENTIVES – SEE SALARY SECTION BELOW IMPORTANT NOTICE: Duty assignments available at the time of offer may include the Southwest Border, including prioritized locations. U.S. Border Patrol determines duty assignments at the time of offer based on operational needs, which may or may not align with candidates’ first-choice preferences. Relocation may be required. U.S. Customs and Border Protection (CBP) is hiring immediately for these full-time, career Law Enforcement Officer (LEO) opportunities. Salary and Benefits: Salary for newly appointed law enforcement Border Patrol Agents varies from: Base Salary: GL-9/GS-11, $63,148 - $120,145 per year Locality Pay: Varies by duty location. Overtime Pay: Up to 25% Duty location impacts pay rates; locality pay for federal law enforcement is higher in some locations than others. A fully trained BPA may be eligible for up to an additional 25% of base pay per the BPA Pay Reform Act of 2014. This is a career ladder position with a grade level progression from GL-9 to GS-11 to GS-12. You will be eligible for a promotion to the next higher grade level (without re-applying) once you successfully complete 52 weeks in the lower grade level. All Border Patrol Agents may select from an array of federal employment benefits that include health and insurance plans, a generous annual and sick leave program, and participation in the Thrift Savings Plan, a retirement plan that is similar to traditional and ROTH 401(k) offerings. Recruitment Incentive Newly appointed Border Patrol Agents (as defined in 5 CFR 575.102) will be offered up to a $20,000 incentive. The first $10,000 will be paid upon successful completion of the Border Patrol Academy, with the remaining $10,000 awarded for accepting a prioritized location. Prioritized locations include Sierra Blanca, TX; Presidio, TX; Sanderson, TX; Comstock, TX; Lordsburg, NM; Freer, TX; Hebbronville, TX; Ajo, AZ. Retention Incentive Newly appointed Border Patrol Agents may also qualify for up to $40,000 in additional incentives distributed over their first four years. Duty Locations: You will be asked to select your preferred location for one of the following mission critical locations: Big Bend Sector Stations - Presidio, Van Horn, Sanderson, Alpine, Sierra Blanca, Marfa Buffalo Sector Stations - Wellesley Island Del Rio Sector Stations - Del Rio, Brackettville, Comstock, Eagle Pass North, Eagle Pass South, Carrizo Springs, Uvalde El Paso Sector Stations - Alamogordo, Clint, Deming, El Paso, Fort Hancock, Las Cruces, Lordsburg, Santa Teresa, Ysleta El Centro Sector Stations - El Centro, Indio, Calexico Grand Forks Sector Stations - Pembina Havre Sector Stations - Havre, Malta, Plentywood, Scobey, Sweetgrass Houlton Sector Stations - Calais, Fort Fairfield, Jackman, Rangeley, Van Buren Laredo Sector Stations - Laredo South, Cotulla, Hebbronville, Laredo West, Freer, Laredo North, Zapata Rio Grande Valley Sector Stations - Rio Grande City, Fort Brown, McAllen, Brownsville, Falfurrias, Weslaco, Kingsville, Harlingen San Diego Sector Stations - Boulevard, Brownfield, Campo, Chula Vista, Imperial Beach, Murrieta, San Clemente Spokane Sector Stations - Colville, Curlew, Metaline Falls, Oroville Swanton Sector Stations - Beecher Falls, Burke, Champlain, Newport, Richford Tucson Sector Stations - Ajo, Tucson, Nogales, Douglas, Brian A Terry, Sonoita, Casa Grande, Three Points Substation, Willcox Yuma Sector Stations - Blythe, Yuma, Wellton Duties and Responsibilities: As a BPA, you will be part of our 60,000+ workforce that strives to protect the American people by safeguarding our borders, deterring illicit activity, and enhancing the nation’s economic prosperity. Being a BPA makes you a valuable member of the Federal Law Enforcement Officer (LEO) profession. Typical assignments include: Detecting and questioning people suspected of violating immigration and customs laws and inspecting documents and possessions to determine citizenship or violations. Preventing and apprehending aliens and smugglers of aliens at or near the borders by maintaining surveillance from covert positions to include using infrared scopes during night operations. Interpreting and following tracks, marks, and other physical evidence of illegal entry of persons or contraband. Performing farm checks, building checks, traffic checks, city patrols, and transportation checks. Patrolling the international boundary and coastal waterways using a variety of government assets such as vehicles, horses, vessels, watercraft, off-road vehicles, ATVs, snowmobiles, and motorcycles for the accomplishment of the USBP Mission. Qualifications: GL-9: You qualify for the GL-9 grade level if you possess one (1) year of specialized experience, equivalent to at least the next lower grade level, performing duties such as: Performing physical searches of detained individuals, their vehicles, and their immediate surroundings for weapons, contraband, currency, and other evidence. Apprehending, physically restraining, or working with law enforcement officials to identify or apprehend violators of state, federal, or immigration laws. Proficient in the use of firearms, preparing investigative reports, serving court orders (e.g., warrants, subpoenas, etc.), and gathering evidence for criminal cases prosecuted through the court system. If you have previous or current law enforcement or military law enforcement experience, you may qualify at the GS-11 grade level. GS-11: You qualify for the GS-11 grade level if you possess one year of specialized experience equivalent to at least the next lower grade level, with the authority granted by the state or government to enforce laws, make arrests, and investigate crimes, performing primary duties in an official law enforcement capacity such as: Utilizing intelligence information to track illegal operations, criminal activity, threats to our nation, and/or contraband while serving as a state, federal, or military law enforcement official. Leading investigations of fraud, contraband, criminal activity, threats to our nation, and/or illegal operations to determine sources and patterns while serving as a state, federal, or military law enforcement official. Apprehending violators of state, federal, or immigration laws by utilizing various forms of complex technology that include surveillance, detection, situation awareness systems, and/or communications equipment. The above experience will be applied in connection with the following: Make arrests and exercise sound judgment in the use of firearms; deal effectively with people in a courteous manner in connection with law enforcement matters; analyze information rapidly and make prompt decisions; or develop and maintain contact with a network of informants. There are no education substitutions for the GL-9 or GS-11 grade-level Border Patrol Agent opportunities. Other Requirements: Citizenship: You must be a U.S. Citizen to apply for this position. Residency: You must have had primary U.S. residency (including protectorates as declared under international law) for at least three of the last five years. Age Restriction: In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions. Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03. The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military) position covered by Title 5 U.S.C. 8336(c) or Title 5 U.S.C. 8412(d). Veterans’ Preference: You may also be eligible for an excepted service Veterans’ Recruitment Appointment (VRA). The age restriction does not apply if you are Veterans' Preference eligible. Formal Training: After you are hired, you will be detailed to the U.S. Border Patrol Academy in Artesia, New Mexico, for approximately six (6) months of intensive instruction in immigration and nationality laws, law enforcement, and USBP-specific operations, driver training, physical techniques, firearms, and other courses. Border Patrol work requires the ability to speak and read Spanish, as well as English. Border Patrol Agents will be provided training to become proficient in the Spanish language at the Academy. How to Apply: Click the Apply button on this site. You will be linked to the CBP Talent Network registration page. For Position of Interest, select Border Patrol Agent, and then complete the pre-screening questions. You’ll then receive a link(s) to the BPA Job Opening Announcements (JOAs) on USAJOBS, the federal government’s official employment site, to complete your application. Be certain to review ALL details of the job opportunity announcement and follow all instructions in the application process, including items (resume, transcripts, etc.) to submit. You will be evaluated based on your resume, supporting documents, and the BPA Entrance Exam. If you have questions about the application process, contact a recruiter through the U.S. Border Patrol page: careers.cbp.gov/s/usbp. NOTE: As a subscriber to the CBP Talent Network, you’ll receive monthly emails with information about webinars, career expos, and future opportunities with CBP.

Job Description ABOUT US: Ethos Risk Services is a leading insurance claims investigation and medical management company, specializing in surveillance and fraud detection. At the forefront, we provide accurate data and actionable insights that translate into better decision-making for our clients. JOB SUMMARY: Our dynamic Ethos team is seeking a Special Unit Investigations (SIU) Field Investigator to conduct field investigations, gather and analyze evidence, and produce detailed reports that support claims decisions. You'll work both independently and collaboratively, often traveling to accident scenes, interviewing witnesses, and uploading documentation into our claims system. KEY RESPONSIBILITIES: • Scene Investigations: Conduct thorough on-site investigations of accidents and property losses., • Interviews & Statements: Conduct in-person interviews and obtain accurate, detailed statements from all parties involved., • Online Research: Gather case information through digital sources and background checks., • Report Writing: Draft thorough, detailed investigative reports summarizing findings and observations., • Case Documentation: Conduct in-person interviews and obtain accurate, detailed statements from all parties involved, and retrieve relevant documents to support investigative findings., • Case Management: Track case progress, time, and expenses accurately within Ethos systems., • Fraud Detection: Recognize compensability issues, misrepresentation, and other red flags in claims., • Client Communication: Maintain professional contact with clients and claim handlers throughout the investigation process. QUALIFICATIONS: Education: Associate's or Bachelor's degree in Criminal Justice or a related field preferred. Experience: • Minimum of 2 years of SIU experience with an investigative firm or insurance carrier, working across various lines of business such as liability, auto, and property., • Former military or law enforcement background preferred. Licenses/Certifications: • Active Private Investigator license or willingness to obtain one (where required by state)., • Active driver's license and valid auto insurance. Other Requirements: • A well-maintained and reliable vehicle for exclusive use., • SIU equipment, including a recorder and a high-quality digital camera., • A reliable laptop, cell phone, and internet service are needed for communication and administrative tasks. WORKING CONDITIONS: • While we aim to keep assignments within a 2-hour drive of your residence, occasional further travel and overnight stays (covered by the company) may be required., • Occasional weekend work may be required to align with case demands and or/client requests. Ethos Risk Services is an equal opportunity employer that does not discriminate on the basis of religious creed, sex, national origin, race, veteran status, disability, age, marital status, color or sexual orientation or any other characteristic. A background check will be conducted, in accordance to the local state law and regulations. Job Posted by ApplicantPro

Job DescriptionAffirmative Civil Enforcement (ACE) InvestigatorEmployment Type: Full-Time, Experienced Department: Legal Services CGS is seeking an experienced ACE Investigator with extensive knowledge and skills in investigative techniques and fraud detection to provide assistance for a large Federal agency initiative. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- The investigator will generate new investigations, and to continue with ongoing investigation and civil actions involving fraud in areas such as healthcare, contracting, and grants, as well as other fraud and abuse of federal public funds and programs.- Regularly meets with the ACE attorneys and with designated agency personnel for the purpose of generating fraud investigations.- Performs a variety of ancillary investigations-related services in direct support of any assigned fraud- Utilizes electronic databases such as public records, property records, business records, and other government-maintained databases, to identify documents, witnesses and other physical evidence.- Prepares reports on progress of investigations for use by AUSAs and supervisory attorneys. These reports may include significant findings and conclusions, analyses of information located in electronic databases, presentations, recommendations for additional investigative actions and candid assessments of strengths and weaknesses of witnesses, documentary evidence, or other aspects of a case.- Examines books, ledgers, payrolls, cost reports, billing statements, invoices, correspondence, computer data, and other records pertaining to the transactions, events, or allegations under investigation.- Performs sophisticated analyses of large-scale hard-copy and electronic data, such as health care claims data, financial transaction data, accounting records, or bank records to develop investigative leads and to determine their potential relevance to the allegations at issue.- Gathers and analyzes facts including witness statements, timelines, and scientific or technical data for the purpose of advancing investigative objectives. Establishes and verifies relationships between facts and evidence obtained or presented to confirm authenticity of documents, to corroborate witness statements, and to otherwise build proof necessary for successful litigation or settlement.- Develops and analyzes evidence and collects information relating to such evidence, or other legal matters under consideration, from appropriate primary and secondary sources. Performs analysis to clarify the target suspect's or organization's pattern of operations, to identify information relevant to the legal issues involved, and to recommend valuable approaches to the AUSAs or other members of the investigative team. Develops and refines proof required to assist in determining legal responsibility for violations.- Assists ACE AUSAs with in-person and/or telephonic interviews of witnesses, depositions, and sworn witness examinations.- Assists with the preparation and service of subpoenas for documentary materials, interrogatory answers, or witness testimony in connection with ACE investigations.- Develops an understanding of all applicable federal, state, or local laws to the extent necessary to make sound decisions on direction and scope of investigations. Determines proof required to affix responsibility for violations, and devise methods for obtaining, preserving, and presenting evidence to the greatest effect.- Assists with determining the most efficacious methods for planning, scheduling, and conducting investigations, and identifies any resources that may be required.- Performs other related ACE investigator duties as assigned and within scope.- Attends meetings and trainings as may be required and appropriate. Qualifications:- Computer Skills: Applicant shall have the ability to use MS Word, MS Excel, MS Outlook, MS Access, and other databases as well as Adobe Acrobat Professional. Experience with working on document review/management platforms such as Relativity, with analyzing spreadsheets of claims data, and with utilizing docketing software is a plus.- Ability to review and understand the import of a wide variety of documents, both legal and non-legal, including Motions and Briefs.- Ability to think independently and to develop investigative strategies in response to the needs of a specific case.- Communication skills are extremely important. Applicant shall work and interact professionally and effectively with all levels of staff.- Ability to meet established deadlines and work as a team player in a professional office.- Skill in meeting and dealing with people in a courteous and tactful manner. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board:https://cgsfederal.com/join-our-team/For more information about CGS please visit: https://www.cgsfederal.com or contact:Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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