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Job Description Beware of Recruitment Fraud: We are committed to protecting job seekers from recruitment fraud. Please be aware that all official communication regarding opportunities with our firm will come exclusively from an email address ending in @RoseNYC.com. We will never request payment, financial information, or sensitive personal documentation during the application process, and we will never extend a job offer without first conducting a formal in-person interview. If you receive a message that appears suspicious or does not originate from this domain, please mark it as spam or phishing and report it to us directly at recruiting@rosenyc.com. Overview Rose Associates is a recognized market leader in multifamily and mixed-use real estate. Based in New York City, we own, develop and operate leading properties in urban markets from Philadelphia to Boston and across all residential asset classes, including market, regulated, workforce and affordable housing. Our dynamic services platform spans development, construction, property and asset management, leasing, marketing and accounting/financial operations. We partner with private owners and institutional investors globally to develop and operate some of the most iconic assets in our markets. We rely on technology and the deep expertise of our team to consistently outperform the market in the operation of more than 30,000 units across some 250 properties in the most challenging housing markets in the country. For the past three years, Rose has been the top-rated manager for resident satisfaction in the United States on the Kingsley Surveys platform (peer group of firms with 10-30,000 units being surveyed). Established in 1925, Rose Associates possesses a century of real estate expertise and an impeccable reputation for excellence and integrity. Today a woman-owned business led by CEO Amy Rose, we are committed to a corporate culture of belonging and inclusion that is widely admired in the industry. As we expand across the Northeast, Rose is providing opportunity for our team members to grow their careers in an environment of respect and support. Join us on the forefront of innovation and growth – Rose Associates is where excitement meets opportunity! Step into an exciting role as an Assistant Resident Manager, where you will actively shape the vibrant daily life of a residential community. Collaborate with the Resident Manager, overseeing the building services team, ensuring staff excellence, resident satisfaction, and financial success. We are seeking a passionate leader with exceptional customer service skills, problem-solving abilities, and clear communication, all while being able to handle a multitude of tasks. This is your opportunity to take your career to the next level, bringing your energy and excitement to promote excellence in our community! Essential Job Functions • Actively assist in managing day-to-day property operations and maintenance, promptly addressing tenant and client concerns., • Support timely maintenance of building operations, including coordinating preventive maintenance and optimizing asset performance., • Participate in overseeing maintenance and repair activities, collaborating with external contractors and vendors., • Contribute to negotiating service contracts, ensuring suppliers meet contractual obligations (e.g., HVAC, cleaning, landscaping)., • Assist in developing and managing the building maintenance budget, reviewing variances, and controlling expenditures., • Play an active role in responding to building emergencies, supervising construction projects, and enforcing safety protocols., • Collaborate in conducting safety inspections and providing necessary training for a safe work environment., • Participate in recruiting, hiring, leading, training, and evaluating building staff, contributing to a productive working environment., • Collaborate with unions and union representatives., • Able to remain stationary for extended periods of time, up to 50% of the work day., • Ability to move about the building(s) for meetings with tenants, vendors and staff., • Ascend / descend stairs and ladders, as well as positions oneself in small spaces for building inspections and maintenance., • Effectively communicate with tenants, vendors, staff and various departments within the company, • Recognize areas for improvement, detect issues and assess the best plan of action to rectify them., • Transport large or heavy objects (up to 50 lbs) throughout the property, • Exposure to a variety of environments to include varying weather conditions Qualifications • A minimum of 5 years of experience in residential building maintenance., • Ability to actively contribute to implementing sustainable energy practices and grid interactive maintenance procedures., • Knowledge of building mechanical systems, including plumbing, electrical, carpentry, waterproofing, and HVAC., • Proficiency in actively participating in effective verbal and written communication., • Required licenses and certificates (Certificate of fitness S12, S-13, S-95, P-99, EPA 608 Universal)., • Must actively respond to emergencies and be on call 24 hours., • Strong self-management and prioritization skills., • Practical experience with modern motion detection and video capture technologies., • Experience with unions, particularly 32BJ, is preferred., • Proficiency with computers and active involvement in property management software, including Microsoft Office and Yardi., • Work authorization (required)Hourly pay range: $30 - $32 Powered by JazzHR D3maOFcJTC

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 of, we provide accurate data and actionable insights that translate into better decision-making for our clients. To learn more, visit: https://ethosrisk.com/about-us/ JOB SUMMARY: Have you ever thought about becoming a Private Investigator? Are you ready to kick-start your career in a rapidly growing industry? Want to get paid to learn how to investigate fraud and conduct covert surveillance in the real world? Our Full-Time Entry-Level Field Investigator position will help launch your career by providing you with an industry leading FULLY PAID Investigator Training Program - no prior experience necessary! KEY RESPONSIBILITIES: • Case Preparation: Conduct preliminary investigations using social media and analyzing database research., • Field Surveillance: Perform covert surveillance from your vehicle by tracking and capturing high-quality video evidence of surveillance targets., • Report Writing: Draft detailed and court-ready investigative reports summarizing activity and key findings., • Documentation: Finalize case file by submitting case reports and uploading video footage via personal laptop at the end of the day., • Communication: Work closely with field supervisor, receiving regular guidance and mentorship. QUALIFICATIONS: • Driver's License: Active driver's license that is not currently suspended or revoked., • Personal Vehicle: A well-maintained vehicle that is always reliable (preferably with tinted windows). Proof of auto insurance coverage is required., • Travel Expectations: While we aim to keep assignments within a reasonable drive of your residence, occasional further travel and overnight stays (covered by the company) may be required., • Technology: A reliable laptop, cell phone, and internet service are needed for communication and administrative tasks., • Required Skills: Strong computer & internet proficiency. Excellent communication, verbal & writing skills. WHAT WE OFFER: • Paid Investigator Training Program: Fully paid training program led by industry experts with ongoing development and support. Initial training will be held via virtual classroom then transition into on-the-job training., • Paid Licensing: We pay for all your licensing fees! Our licensing team will guide you through the process of acquiring all investigator licensing to ensure a smooth process., • Surveillance Equipment: We will provide you with necessary surveillance equipment. After a year of employment, it is yours to keep!, • Pay Increases & Milage Reimbursement: There are several performance milestones within your training & first year of employment that will reward you with pay increases. Additionally, we offer a mileage reimbursement program., • Health Insurance/Retirement: Medical, Dental Vision, Life/Disability Insurance + 401k WORKING CONDITIONS: • Most surveillance cases start at 6:00AM. End time can vary depending on activity and a typical workday can vary from 3-12 hours., • Weekends/holidays are common workdays as claimants are more likely to be active., • This is an independent role often requiring long hours alone in your vehicle, regardless of weather conditions., • Must remain alert with no external distractions, ready to use videography equipment to document subjects. 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 Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Contributions to open-source ML projects or published research. Benefits • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job Description Be Part Of A High-Performing Team: Join a sophisticated financial services technology environment supporting cybersecurity, data operations, and enterprise risk management initiatives. This team is focused on strengthening how insider risk is detected, measured, and governed across a large, regulated organization. The role sits at the intersection of cybersecurity, data science, analytics, and risk decisioning, contributing to a high-visibility program designed to centralize insider risk data and transform complex behavioral and enterprise signals into actionable insights. What's In Store For You: Engagement: W2 only (no C2C/1099) This is a hybrid opportunity based in Jersey City, NJ, supporting a cybersecurity data lakehouse initiative tied to insider risk and advanced analytics. The role offers the opportunity to work across Cybersecurity, HR, Legal, Compliance, Anti-Fraud, and enterprise protection teams while helping shape risk scoring, model governance, and executive-level reporting for a highly regulated environment. How You Will Make An Impact • Design, build, and refine quantitative models that help identify, assess, and prioritize insider risk across employees, contractors, vendors, and non-human identities., • Partner with data engineers, analysts, cybersecurity stakeholders, and business teams to centralize insider risk data within a cybersecurity data lakehouse., • Develop statistical, machine learning, and analytical frameworks for anomaly detection, classification, clustering, scoring, and behavioral risk modeling., • Translate large, complex enterprise datasets into clear risk signals, defensible models, and actionable business recommendations., • Support the creation of human-centric risk scoring methodologies that improve detection, investigations, governance, and regulatory readiness., • Communicate model outputs, assumptions, and analytical findings to technical and non-technical stakeholders, including senior leadership. Do you bring proven success in data science, risk modeling, and cybersecurity analytics? • 5+ years of experience in data science, quantitative analysis, statistical modeling, or risk analytics., • Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, Quantitative Finance, Computer Science, or a related discipline., • Strong experience developing statistical or machine learning models, including regression, classification, anomaly detection, and clustering., • Proficiency with Python and/or R, plus strong SQL skills for large-scale data analysis., • Experience working with complex enterprise datasets and translating analytics into operational or business decisions., • Background supporting Insider Risk, Fraud, AML, Cybersecurity, UEBA, Threat Analytics, or related risk programs., • Familiarity with identity/access data, endpoint telemetry, DLP, email, collaboration monitoring, or similar enterprise security datasets., • Understanding of model explainability, governance, validation, and documentation expectations in regulated environments., • Knowledge of employee lifecycle risk, behavioral analytics, or human-centric risk modeling is strongly preferred., • Strong communication skills with the ability to simplify complex analytical concepts for non-technical stakeholders.

We are seeking a highly skilled and motivated candidate with specialized experience in NJ provider/PIP initiatives to join our team in order to assist with Major Case Investigation. The ideal candidate will have a strong background in identifying, investigating, and resolving complex cases of insurance fraud within the Personal Injury Protection (PIP) and healthcare provider space. Proficiency in investigative techniques, industry regulations, and PIP claim regulations is essential. RESPONSIBILITIES • Lead and conduct comprehensive investigations into major fraud cases, including healthcare fraud, staged accidents, exaggerated injuries, and fraudulent billing practices related to PIP claims., • Analyze and review claims data to identify red flags, trends, and patterns indicative of fraudulent activity, particularly focusing on NJ provider claims., • Collaborate with internal teams, external stakeholders, and law enforcement agencies to gather evidence and build cases., • Interview witnesses, claimants, and providers as part of the investigative process, documenting findings thoroughly., • Provide detailed reports and recommendations on cases for potential legal action or denial of claims., • Stay current with NJ PIP regulations, fraud detection techniques, and industry best practices., • Work closely with legal, compliance, and claims teams to ensure that investigative findings align with company policies and regulatory requirements., • Provide testimony and expert witness support in legal proceedings when necessary. QUALIFICATIONS • Minimum of 5 years of experience in insurance fraud investigation, with a focus on PIP claims and NJ provider networks., • Proven expertise in the detection, investigation, and resolution of complex fraud cases in the insurance or healthcare industry., • Strong understanding of New Jersey PIP laws, regulations, and claims processing., • Proficiency in utilizing investigative tools, claims management software, and fraud detection systems., • Excellent written and verbal communication skills, with the ability to present complex findings clearly and effectively., • Ability to work independently, manage multiple investigations simultaneously, and meet deadlines., • Strong analytical and problem-solving skills., • Bachelor’s degree or equivalent experience in criminal justice, insurance, or a related field. SALARY RANGE The pay range for this position is $70,000 to $103,500 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity. PERKS & BENEFITS • 4 weeks accrued paid time off, 8 paid national holidays per year, and 2 floating holidays, • Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision), • Annual 401(k) Employer Contribution, • Free onsite gym and health center at our Woodbridge Location, • Resources to promote Professional Development (LinkedIn Learning and licensure assistance), • Robust health and wellness program and fitness reimbursements, • Various Paid Family leave options including Paid Parental Leave, • Tuition Reimbursement ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.

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 _.

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.

Givebutter is the most-loved nonprofit fundraising and CRM platform, empowering millions of changemakers to raise more, pay less, and give better. Nonprofits use Givebutter to replace multiple tools so they can launch fundraisers and events, use donation forms and donor management (CRM), send emails and text blasts—all in one place. Use of the Givebutter platform is completely free with a 100% transparent tip-or-fee model. Givebutter has been certified as a Great Place to Work® every year since 2021, and is the #1 rated nonprofit software company on G2 across multiple categories. Our mission is to empower the changemaker in all of us. We believe giving should be fun, so you’ll want to do it again, and we also believe that work should be fun, so that you’ll have the greatest impact. We are excited to hear from talented people who want to work with other talented people in making the world a butter place—and have fun along the way. We're hiring a Staff Software Engineer to help build and evolve the systems that keep Givebutter safe, fraud detection, risk decisioning, abuse prevention, and the internal tooling our operations team needs to investigate and act at scale. This is a hands-on individual contributor role. You'll write code, design systems, debug production issues, and release new features. You'll also have the opportunity to work closely with stakeholders across the company to help set the technical direction for Trust & Safety, and partner teams throughout Givebutter to prioritize and execute on it. You’ll work day-to-day on our Payments and Trust & Safety team and collaborate closely with our engineering, operations, product and leadership team to solve ambiguous risk challenges into concrete solution. This role spans the full breadth of how we fight fraud, from building decision systems and investigation tools to hardening our payment infrastructure and working with operations on process. It's as much about understanding the business as it is about writing great code. Why join the Givebutter Engineering team? Democracy of code – We value equal contributions from all engineers and foster an environment of open discussion on architecture and ideas. Autonomy in work – We keep meetings to a minimum. Engineers have the freedom to manage their own calendars and block out uninterrupted time for focused work. Automated CI/CD – Our build and deployment processes are fully automated and hands-off, allowing engineers to focus on problem-solving through code. Mission-driven, full stop – You’ll be working with inspiring nonprofits, charities, and organizations that are making a positive impact around the world. What You’ll Do Build the fraud platform. Design and implement fraud detection and risk decisioning systems, rule engines, scoring pipelines, event-driven risk signals, and backtesting infrastructure. Build for operators. Create investigation and review tooling that helps our Trust & Safety operations team triage, investigate, and resolve cases efficiently. You care as much about internal UX as external. Help shape what we build next. You'll work closely with your manager, product, operations and leadership stakeholders to identify where we're exposed, propose solutions, and help prioritize the roadmap. Your domain expertise matters here — we want your perspective on what we should be doing. Think like an adversary. Develop a deep understanding of fraud vectors in the fundraising and payments space: stolen cards, synthetic identities, friendly fraud, campaign abuse, and help us build systems that adapt as threats evolve. Strengthen payment integrity. Work across our payment systems to harden the transaction lifecycle against abuse. You don't need to be a payments expert on day one. Mentor and grow the team. Help engineers on your team develop Trust & Safety domain expertise. Share what you know, pair on hard problems, and help raise the bar for how the team approaches adversarial challenges. Requirements 8+ years of software engineering experience, with meaningful time spent in adversarial domains — fraud, trust & safety, risk, abuse prevention, or similar. Experience building fraud detection or risk decisioning systems — rule engines, scoring systems, policy frameworks, or investigation platforms. You've built the thing, not just consumed the output. Strong backend engineering fundamentals. You can design scalable, event-driven systems and reason about distributed architecture tradeoffs. You've debugged production issues across multiple layers of the stack. Collaborative influence. You've helped drive technical initiatives across multiple teams and stakeholders. You're comfortable building consensus and working through ambiguity with others. Good judgment and prioritization. You can take a vague problem like "our dispute rate is climbing" and work with your team to break it down into a concrete plan with clear next steps. Nice to Have Experience with PHP/Laravel, or a similar MVC framework like Ruby on Rails, Django, etc. Laravel experience is a plus, but strong fundamentals in any comparable framework translate well. Experience leading projects or small teams as a senior IC (e.g., technical lead/staff-level leadership): setting direction, unblocking others, and mentoring. Experience with React/TypeScript on the frontend. Familiarity with Stripe's APIs, payments, disputes, Radar, or similar payment processor integrations. Experience building tools for operations or support teams (internal tooling, case management, review queues). Background in fundraising, nonprofit tech, or marketplace platforms where T&S challenges involve campaign legitimacy, donor protection, or platform abuse. Exposure to event-driven architectures (CDC, Kafka, event sourcing) for real-time risk signal processing. Experience working in AWS (EKS/Kubernetes, RDS, etc.). _ Remote Work: Work remotely from one of our 10 hubs (Austin, Denver, Indianapolis, Los Angeles, San Francisco, New York, Salt Lake City, Minneapolis, Seattle, and Nashville). Health Insurance: We offer Medical, Dental, and Vision insurance covered 100% for employees as well as HSA and FSA accounts. Dependent Care Coverage: We offer coverage for dependents, with 50% of Medical, Dental, and Vision premiums covered for all eligible dependents. Mental Health: Givebutter health insurance plans come with access to a TalkSpace membership. 401k: We offer a 3% 401k match for all eligible employee's. Vacation and Holidays: Givebutter offers a Flexible PTO policy with uncapped vacation days and company-recognized holidays. Wellness Week: Givebutter closes for one week each summer to prioritize rest and recharge for the entire team. Parental Leave: We offer 12 weeks of paid leave for all parents and comprehensive leave planning management through Aidora. Family Care Support: Access a company-paid UrbanSitter membership plus care credits to book trusted, background-checked caregivers for childcare, senior care, pet care, and household support when you need it most. Home Office Stipend: Upgrade your home office with company-sponsored expenses, including high-quality laptops, monitors, and modern technology. Coworking Stipend: Enjoy a monthly stipend that gives you the freedom to work from coworking spaces or cafés whenever you need connection, community, or a change of scenery. Charitable Giving: Employees are encouraged to donate up to $50/month to any verified nonprofit they wish to support on Givebutter. Professional Development: We offer learning and development reimbursement opportunities. Love What You Do: We are a mission-driven company serving the charitable sector. Feel good about the work you're doing and the company you work for. Interview Process Below is a high-level outline of our standard interview process Recruiter Screen: A 30-minute conversation to learn more about your background, walk through the role, and ensure mutual alignment on expectations, values, and logistics. Hiring Manager Interview: A deeper dive into your relevant experience, skillset, and working style. This is your first opportunity to connect directly with the person who may be your future manager. Assessment (technical or non-technical): This stage will vary based on the role. It could involve a live coding session, case study, or take-home project. Some roles may include two parts to this stage to evaluate both practical skills and problem-solving approaches Values Interview: A conversation with team members focused on how you align with our core values and leadership principles. References: We connect with a few folks you’ve worked closely with to get a better picture of your working style and impact. Offer: If all goes well, we’ll move to the offer stage! Please note, we will have an AI note-taking tool join most of our interviews. Hi potential new butterslice! A _ showed that most women apply to jobs only when they meet 100% of the requirements, whereas men will hit the apply button if they hit 60%. Givebutter is committed to building a diverse and inclusive team. So to the women and nonbinary folks out there feeling unsure if you're a perfect fit, we strongly encourage you to apply!

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

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! | | |

Recruitment Fraud Alert We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What to know: • Commvault does not conduct interviews by email or text., • We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at _ About Commvault Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. Please note that due to quarterly team meet ups and time zone constraints, we require this person to be located in the San Francisco Bay Area (preferably) or Seattle, WA. The Opportunity... Clumio by Commvault is a leader in cloud-native cyber resilience. The product is a purpose-built SaaS platform designed to solve the "data protection gap" in high-scale cloud environments. We build a purpose-built Enterprise B2B SaaS platform that empowers organizations to protect their most critical data assets, such as Amazon S3, DynamoDB, and Apache Iceberg, with unprecedented scale and simplicity. The team operates at the intersection of extreme scale and data security. We are known for engineering solutions that handle the world’s most demanding data environments, protecting billions of objects across services like Amazon S3 and DynamoDB where traditional legacy architectures fail. This is an exciting time to be joining the team as we are moving beyond our core success in AWS data protection to tackle the broader challenges of the multi-cloud era. The broader goal is to provide enterprises with a unified lens for visibility, compliance, and resilience, ensuring that as data grows, it remains both secure and recoverable. You will play a pivotal role in integrating AI-driven intelligence into our products, helping us shift from reactive recovery to proactive data resilience and governance across a diverse, multi-cloud landscape. What You’ll Do... Lead Product Discovery: Deeply understand customer problems regarding data risk and recovery. You will navigate the operational constraints of massive-scale cloud environments to define how we protect and classify data across S3, DynamoDB, and Apache Iceberg. Define Vision & Roadmap: Own the end-to-end journey for Cyber Resilience and DSPM features. You will manage the product from initial concept through to the launch of AI-driven classification and automated recovery workflows. Execute with Technical Rigor: Work day-to-day with Engineering and AI Research teams to prioritize backlogs, clarify technical scope for cloud-native integrations, and ensure high-quality execution in a high-scale environment. Communicate with Stakeholders: Serve as a primary point of contact for the product's technical direction. You will facilitate feedback loops with customers, present roadmaps to internal leadership, and provide technical clarity to external partners as needed. Bridge the GTM Gap: Partner with Sales and Marketing to support pilots and customer adoption. You will translate complex "resilience" and "posture" capabilities into clear business value for the enterprise buyer. Measure Impact: Track product success through adoption metrics, recovery time objectives (RTO), and the effectiveness of AI-driven data classification. Who You Are... Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field. Experience: 10+ years of Product Management experience with a focus on Enterprise B2B SaaS and platform products. Domain Expertise: At least 5 years in the Cybersecurity or Data Protection space, with specific experience in Cyber Resilience, Backup/Recovery, or DSPM. Cloud Native Proficiency: Proven, hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). You must understand cloud storage architectures, IAM, and resource management. AI/ML Delivery: Experience delivering production-grade AI/ML capabilities, specifically for data classification, anomaly detection, or automated remediation. Professional Communication: Demonstrated ability to present technical roadmaps and product strategy clearly to both internal teams and external customers. What Will Make You Stand Out Advanced Degree: An MBA or a Master’s degree in a technical discipline. Industry Engagement: Experience contributing to technical white papers, participating in industry working groups, or presenting at professional security conferences. Practitioner Experience: Prior experience as a cloud security architect or data engineer, giving you "firsthand" knowledge of the pain points involved in cloud data management. You’ll Love Working Here Because Collaborate with amazing, driven, and supportive team members. Enjoy continuous professional growth through product training, development programs, and clear career pathways. Work on high-impact, large-scale cloud data protection systems used by global enterprises. Thrive in an inclusive, open culture with opportunities to connect through our community groups. Take advantage of generous global benefits tailored to support your well-being. Receive competitive compensation that reflects your impact. Share in our success through our Employee Stock Purchase Plan. Ready to #makeyourmark at Commvault? Apply now! #LI-JS1 #LI-Remote Thank you for your interest in Commvault. Reflected below is the minimum and maximum base salary range for this role. At Commvault we use broad salary ranges in our job postings to reflect the diverse levels of expertise and experience among our candidates and is not reflective of the total compensation and benefits package. The specific salary offered will be determined based on your unique qualifications, including your relevant experience, skills, and the value you bring to the role. While the range provides a general idea of the compensation, it is important to note that placements within the range are not automatic and will be carefully considered to ensure a fair and competitive offer. We are committed to rewarding talent and experience. Pay Range $168,300 - $296,700 USD Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work. Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email For any inquiries not related to an accommodation please reach out to . _

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_

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

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases. Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases. At Aerospike, we dream big and deliver even bigger. Our mission is to unleash the power of the world’s real-time data with a database built for infinite scale, speed, and sustainability. If you're ready to shape the future of data, join us. We’re growing fast and investing deeply in our Cloud Platform—a multi-cloud, multi-tenant platform that brings the power of Aerospike to customers with maximum simplicity, speed, and scale. We’re looking for a Senior Backend Engineer to join our Cloud team and play a key role in designing and building the next generation of our platform services. Your work will directly shape the way global enterprises deploy, manage, and scale Aerospike in the cloud—and will help push the boundaries of what real-time, always-on systems can achieve. • Drive real impact. You’ll build core backend systems that are foundational to our multi-cloud SaaS platform—helping customers deploy and manage high-performance, globally distributed applications with ease., • Collaborate deeply. You’ll work closely with product managers, architects, QA, and other developers to move fast on a strategic roadmap that reflects real-world customer needs for internal and external developers., • Build for scale. From optimizing performance to designing for multi-tenancy and auto-scaling, you’ll write production-grade code that’s secure, maintainable, and blazing fast., • Elevate quality. You’ll champion code quality and test coverage, raise the bar for engineering standards, and help us build systems that just work—even under extreme load., • Innovate boldly. At Aerospike, we value curiosity, courage, and creativity. You’ll bring new ideas to the table, prototype rapidly, and be empowered to experiment and lead with technology., • Responsibilities, • Communicate regularly with stakeholders, project managers, quality assurance teams, and other developers regarding progress on a long-term technology roadmap, • Produce quality code, raising the bar for team performance and speed, • Write code and tests, build prototypes, resolve issues, and profile and analyze bottlenecks, • Optimize backend services for performance and scalability, • Develop automated unit and integration tests to ensure business needs are met., • Join the on-call rotation for services in your focus area as a technical expert to help address customer-impacting issues, • Required skills and qualifications, • At least 5 years of relevant experience, • Excellent foundation in computer science and algorithms, • Experience in developing distributed, multi-tenant, auto-scalable backend services, • Proficient knowledge of one or more statically typed back-end programming languages (Go, Kotlin, Java, Scala), • Experience with at least one of the major public cloud providers: AWS, Google, Azure, • Experience with NoSQL and relational databases and database fundamentals, including data storage, data replication, data modeling, and data access patterns, • Experience with developing, deploying, and maintaining distributed services with containers (Docker) & orchestration (Kubernetes, EKS, GKE), • Experience with Git and CI/CD pipeline engines, • Technical knowledge and understanding of techniques and standards for authentication, authorization, and encryption, • Preferred skills and qualifications, • Proficient in Go, • Experience with NoSQL database development, • Experience with Terraform, Ansible, and other DevOps technologies, • Experience with the Kubernetes Operator pattern, • Experience with a workflow engineer (ArgoCD, Temporal) Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. Join us at Aerospike and be part of a dynamic team that is shaping the future of data management. Salary Range for California Based Applicants: [$169,000 - $195,000] (actual compensation will be determined based on experience, location, and other factors permitted by law)

Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions. Our AI workflow and analytics platform for lenders is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system. Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business. We’re looking for a Mortgage Forward-Deployed Engineer (FDE) to join our team and be the bridge between our product and our customers. This is not your standard engineering role, you’ll be out in the field, working directly with clients, writing production code, and helping them reimagine how they run their business with our platform. You will be working directly with our Account Management team, implementation team and onboarding team. This role reports to the VP of Account Management. As an FDE, you’ll wear different hats: engineer, architect, and trusted advisor. One day you might be prototyping a custom integration; the next, you’re running a proof-of-value with a C-suite exec; the next, you’re feeding back product insights that shape the roadmap. If you like variety, ownership, and making real-world impact, you’ll love this role. This role will report to our Lead Forward-Deployed Engineer and be a part of the Account Management team. What you'll do: • Act as a technical expert and trusted advisor during the post-sales process, embed with customer teams to understand their workflows and demonstrate how Ocrolus’ technology improves efficiency in mortgage origination., • Review and consult on technical solutions, APIs, microservices, data pipelines, and integrations that solve real business problems., • Build and support technical solutions and integrations for mortgage clients using Ocrolus, Encompass, and other POS/LOS mortgage platforms., • Run proof-of-concepts and proof-of-value engagements that demonstrate ROI fast., • Troubleshoot gnarly technical issues in live environments and get things back on track., • Partner with the Account Management and Product teams to deliver value, and influence the roadmap., • Travel occasionally (~30–50%) to customer sites and industry events Who we're looking for: (Skill Sets and Qualifications) • 3+ years of experience in software engineering, solutions engineering, or technical consulting., • 3+ years of a background in mortgage, or lending workflows., • Strong understanding and experience with Encompass, • Strong consultative sales/account management approach—able to map technology to business challenges and drive change management conversations., • Excellent communication and presentation skills, with experience engaging senior mortgage executives., • Backend: Python; APIs; Encompass Developer Connect; SQL., • Frontend: React/TypeScript; JavaScript with ICE Secure Scripting Framework (SSF) for Encompass custom form and workflow logic., • Supporting: Familiarity with mortgage LOS/POS platforms (Encompass, Blend, SimpleNexus, Floify); Git; cloud basics (AWS/Azure)., • Thrive in fast-paced, ambiguous environments where you figure it out and get it done. Nice to Have: • Experience with SaaS integrations or loan origination systems., • Additional mortgage LOS/POS experience, • Exposure to AI/ML or generative AI., • You’ll have ownership from day one, our FDEs lead projects end-to-end., • You’ll work directly with customers and see the immediate impact of what you build., • You’ll shape the product by bringing the voice of the customer straight to engineering., • You’ll work directly with a team focused on creating an excellent client experience, • You’ll have fun working with a highly proactive, collaborative team Note: The full-time salary range for this role is between $150,000 - $170,000 + commission + equity + benefits. Base pay offered may vary depending on job-related knowledge, skills, experience, and market location. Disclosure as required by N.Y.C. Admin. Code §§ 8-102 and 8-107(32) of the full time salary compensation range for this role when being hired into our offices in New York City. Life at Ocrolus We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact. Our culture is grounded in four core values: Empathy – Understand and serve with compassion Curiosity – Explore new ideas and question the status quo Humility – Listen, be grounded, and remain open-minded Ownership – Love what you do, work hard, and deliver excellence We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic. We look forward to building the future of lending together.

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

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.

The foundation of the modern global economy is built on a dense network of counterparty trust and risk. In the past 50 years, companies have evolved from relying on a couple of wholesalers and vendors, to utilizing 100+ SaaS vendors, contract partners, and cloud providers. Since each counterparty has their own idiosyncratic internal processes and risk profiles, businesses end up spending millions of dollars and countless man-hours conducting due diligence. Coverbase’s mission is to streamline this business-to-business assessment, reducing human toil, and allowing organizations to work together safely and reliably. We employ modern AI techniques to organize vast amounts of unstructured data and compare them against policies to identify key risks to the business. We serve customers across Fortune 500 companies in insurance, higher education, and finance — including five of the top 25 banks in the US. Our proven leadership team brings deep experience: Clarence (CEO): Co-founder & former CTO of Unit21, a Series C fraud detection company that has raised ~$92M. Kao (CTO): Previously led the Stripe engineering team that launched Banking-as-a-Service. We’ve raised $20M from world-class investors and our team of 20 have built important products at Google, Mapbox and Waymo. We’re hiring our third Integration Engineer to work closely with our customers to get them live on the Coverbase platform. We care more about slope than y-intercept — formal education or prior domain knowledge is not strictly required, but a fierce can-do attitude and desire to make something of yourself certainly is. We’re also looking for people who care not just about their work, but the people around them — we’re building a team that’s as kind as they are talented. Our team is US-based and fully remote. The team also comes together for a week every quarter at a location within the continental US. We’ll give plenty of notice for these gatherings, and cover flights and accommodation. We expect the whole team to participate. Collaborate with Customers – Work closely with our customer’s business and engineering teams to gather integration requirements and ensure alignment with their business objectives. Data Management – Figure out how to get data cleanly from our customers' systems into Coverbase and out again. This includes building and managing APIs and webhooks to enable seamless data exchange and automation across platforms. Monitor & Troubleshoot – Proactively monitor integration performance, identify issues, and resolve failures or performance bottlenecks. Maintain Documentation – Create and maintain technical documentation, including integration designs, data flows, and operational procedures. Grow and Scale Coverbase – Foster a constructive environment for code reviews, mentoring, and knowledge sharing. You’re people-oriented: you enjoy understanding the needs of users and customers and helping them solve problems. You’re meticulous and organized: you stay on top of action items and priorities, ensuring that the customer onboards onto Coverbase smoothly. You have the foundational skills of a software engineer down pat: you navigate around your dev environment efficiently, feel confident around SQL and git, give good code reviews, and are seasoned at debugging. You thrive in a dynamic, early-stage startup environment. Strong product addressing a latent market demand – Our AI-driven platform is transforming third-party risk management (TPRM) for top-tier financial institutions. Customers describe it as “revolutionary” and “a joy to work with,” and we’re just getting started. Here’s what some of our customers had to say about our product, unprompted: “This is a revolutionary product… Coverbase is the single biggest step forward in TPRM he’s seen in his career” “You’re flipping the entire program upside down, we completed the risk assessment in 1.5 days… would otherwise have taken at least 3 weeks” “Love how responsive you are, it’s been a joy to work with you guys” Early-Stage Impact – This is a rare opportunity to shape the trajectory of a company at the forefront of AI innovation. Your work will directly influence our success and define how we grow. Collaborative Team – Join a tight-knit, mission-driven team that values kindness, creativity, and curiosity as much as expertise. You’ll work closely with the founders and an exceptional group of engineers. $110K to $160K base depending on experience and ability Meaningful founding equity in the company Health insurance with 100% premium covered for employees and 80% for dependents 21 days of PTO In-person gatherings within the U.S. (travel covered) every 3-5 months. We’ll give plenty of notice for it, and cover flights and accommodation. We expect you to attend! 401(k) plan, with 4% matching. Location: Remote from the continental US Reports to: CTO, Co-founder Coverbase Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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.

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.

At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day. Founded in New Zealand 12 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good. Our mission is clear: reduce violent retail crime by 50% in 5 years. It's an ambitious goal - and one we believe is achievable. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team. We're also embracing the potential of AI to supercharge our impact - whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function. Auror’s North American footprint is live and expanding. We need a highly practical and rigorous Data Scientist to build, productionize, and defend predictive models that customers can trust, especially for high-stakes operational decisions in Loss Prevention and Fraud detection (e.g., cashier risk scoring, deployment optimization, shrink prediction). This role fills a current need for deep statistical modeling expertise combined with real-world domain knowledge and the ability to ship robust analytics products. Own predictive modeling and advanced analytics end-to-end, from ambiguous problem framing to deployment, focusing on Loss Prevention (LP) and Asset Protection (AP) applications. Design, build, and standardize ETL pipelines and data architecture necessary to support robust, scalable predictive modeling at scale. Build defensible metrics (calibration, error tradeoffs, bias/disparity checks) and link them to measurable decision outcomes for C-suite and AP teams. Partner with ML engineers to productionize: feature definitions, scoring workflows, monitoring signals, and retraining triggers. Communicate clearly and concisely to diverse audiences (internal Product/Engineering, external customers, and executive teams) on model uncertainty, value, and strategic application. Design randomized controlled trials and evaluation harnesses that make model quality legible to stakeholders and customers. Expertise in practical statistical modeling and analysis (inference, causal/experimental thinking, time series, model calibration, measurement) applied to real-world, messy data. Demonstrated experience taking analyses/models from ambiguous problem → shipped decision support (e.g., shortage prediction, risk classification models). Strong domain expertise in Retail Loss Prevention, Fraud detection, Asset Protection, or POS Analytics. Strong SQL + Python, with demonstrated experience in ETL Pipeline Design and Data Modeling & Architecture. Practical, high-integrity approach to responsible AI (limits, misuse risk, bias considerations, auditability). ⁠ Experience with geospatial risk modeling, network/graph analytics, or Exception Based Reporting (EBR) tools. Experience building customer-facing proofs-of-concept and translating complex analytics into product features. We are looking for people who demonstrate a strong alignment to our Guiding Principles (you can find these on our _). With diversity and inclusion at the forefront of Auror’s guiding principles, we promote a culture that celebrates diversity and inclusiveness at Auror, regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age. Competitive salary range: Depending on level of experience, between $[Salary band]. Employee share scheme: You’ll own part of a company making a real difference! Flexibility: We are hard-working and outcome focused, but recognise there is more to life than work. We promote a healthy work/life blend. Shorter work weeks (at full pay): Everyone gets Friday afternoons off, so you can start your weekend early, and do more of whatever it is that makes you happy. Focus on mental and physical health: We understand how vital our health is and have policies to support your wellness, including Wellness Days, and up to $500 for expert sessions every year. Health care plan (Medical, Dental & Vision): Auror covers 100% of the cost of your individual health insurance plan with Anthem & Metlife. Family-friendly: We offer comprehensive paid parental leave - 12 weeks for birth parents and 6 weeks for non-birth parents following birth, adoption, or surrogacy, available to all Aurors from day one. Personal growth: We support our team to participate in courses, conferences, or events that will help them develop their skills. Team love: We have regular team lunches and social events where most (if not all) activities are during work hours. What are the next steps? If you’re excited about our mission and you have the experience and a passion for this role, please hit “Apply”. If you’re not sure that you tick all the boxes but feel you’re close to what we’re looking for, please apply anyway! We’re proud that Auror is a place where everyone can learn and grow so we’d love to hear from you. You'll be asked to submit a cover letter as part of your application. While this is optional we do encourage it, as we find cover letters can tell a story that resumes alone often cannot. Our hiring team love to understand what attracted you to this role and why you are excited about the opportunity to join Auror. Once you apply, you’ll hear from us to acknowledge your application. If you have questions about any of the above, or if you have any accessibility requirements, we’ll be able to help you from there.

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is a hybrid role (3 days in office / 2 days remote). About Your Team: Shape the Future of Market Integrity at Interactive Brokers. Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem. What will be your responsibilities within IBKR: • Architect next-generation surveillance models to detect emerging manipulation patterns across global markets, • Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations, • Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy, • Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades), • Evaluate model performance to optimize detection accuracy while minimizing false positives, • Document methodologies to withstand regulatory scrutiny and examination. Which skills are required: Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems. • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field, • Strong programming proficiency in Python, • Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance, • Domain expertise in at least one of:, • Large-scale financial data analysis (orders, trades, market data), • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.), • Regulatory-driven feature engineering, • Communication excellence in explaining complex surveillance concepts to diverse stakeholders. Good to haves: • Regulatory background at the SEC, FINRA, or major securities exchanges, • Advanced degree in a quantitative discipline, • Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost), • Deep understanding of market microstructure and trading strategies, • Specialized knowledge in AML and market manipulation typologies To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills., • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance is provided, and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events, including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups

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: Job Summary MATRIX-IFS is a dynamic, fast-growing technical consultancy specializing in AML/fraud detection, trading surveillance consulting, and systems integration for Banks, Brokerage, and Financial Services companies. We are a team of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent, recognizing that every employee's contributions are integral to our company's future. Our success is built on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a work environment of sharing, learning, and succeeding together. Position Description: We are seeking an experienced Actimize Case Management ActOne Developers to join our team. Key Responsibilities: • Install, Setup and configure ActOne Case Management platform, • Setup users, roles, permissions, workflows, workflow automations, workflow restrictions, DART, RFI, reporting, LDAP configurations etc. features within ActOne, • Develop custom features within RCM using RCM APIs, UI Java Plugins, • Develop Ingestion of external alerts into Actimize ActOne using IAD module or custom Alert Ingestion utility development, • Develop custom manual forms or custom plugin to create manual alerts and manual cases within ActOne., • Install and setup the Actimize ActOne STAR module, • Create custom functionalities within STAR module to auto populate the SAR/STR forms, and other customizations as needed, • Understanding of AML requirements within transaction monitoring, sanctions screening, KYC and other modules. ., • Write complex SQL queries, joins, and stored procedures., • Provide excellent presentation and communication skills. Required Skills and Experience: • 7+ years of hands-on experience in implementing Actimize solutions, including but not limited to ActOne Case Management solutions., • Experience in developing custom features and customizations in ActOne using Plugins, Forms, and new functionalities., • Hands-on experience with installation and configuration of Actimize Case Management System., • Understanding of AML requirements within transaction monitoring, sanctions screening, KYC and other modules. ., • Proficiency in writing complex SQL queries, joins, and stored procedures., • Excellent presentation and communication skills. Benefits: • Competitive base salary., • Comprehensive benefits package, including medical, dental, 401K, STD, HSA, PTO, and more Join Us: Matrix is a global, dynamic, and fast-growing leader in technical consultancy and technology services, employing over 13,000 professionals worldwide. Since its founding in 2001, Matrix has expanded through strategic acquisitions and significant ventures, cementing its position as a pioneer in the tech industry. We specialize in developing and implementing cutting-edge technologies, software solutions, and products. Our offerings include infrastructure and consulting services, IT outsourcing, offshore solutions, training, and assimilation. Matrix also proudly represents some of the world's leading software vendors. With extensive experience spanning both private and public sectors—such as Finance, Telecom, Healthcare, Hi-Tech, Education, Defense, and Security—Matrix serves a distinguished clientele in Israel and an ever-expanding global customer base. Our success stems from a team of talented, creative, and dedicated professionals who are passionate about delivering innovative solutions. We prioritize attracting and nurturing top talent, recognizing that every employee’s contribution is essential to our success. Matrix is committed to fostering a collaborative and inclusive work environment where learning, growth, and shared success thrive. Join the winning team at Matrix! Here, you’ll find a challenging yet rewarding career, competitive compensation and benefits, and opportunities to be part of a highly respected organization—all while having fun along the way. To Learn More, Visit: _ EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.

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.

MATRIX-IFS is a dynamic, fast-growing technical consultancy specializing in AML/fraud detection, trading surveillance consulting, and systems integration for Banks, Brokerage, and Financial Services companies. We are a team of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent, recognizing that every employee's contributions are integral to our company's future. Our success is built on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a work environment of sharing, learning, and succeeding together. Position Description: We are seeking an experienced Actimize Developer (SAM/CDD) to join our team. Key Responsibilities: • Implement Actimize SAM 8.x or 9.x solutions., • Develop custom models using stored procedures, rule cloning, policy manager, and query rules., • Install and configure Actimize Case Management System., • Install and configure Actimize AIS/RCM components along with SAM 8.x or 9.x solutions., • Understand and implement AML transaction monitoring solutions and rules/scenarios., • Write complex SQL queries, joins, and stored procedures., • Provide excellent presentation and communication skills. Required Skills and Experience: • 5+ years of experience in implementing Actimize SAM 8.x or 9.x solutions., • Experience in developing custom models using stored procedures, rule cloning, policy manager, and query rules., • Hands-on experience with installation and configuration of Actimize Case Management System., • Hands-on experience with installation and configuration of Actimize AIS/RCM components along with SAM 8.x or 9.x solutions., • Good understanding of AML transaction monitoring solutions and rules/scenarios., • Proficiency in writing complex SQL queries, joins, and stored procedures., • Excellent presentation and communication skills. Benefits: • Competitive base salary., • Comprehensive benefits package, including medical, dental, 401K, STD, HSA, PTO, and more. Join Us: Come and join a winning team! You'll be challenged, have fun, and be part of a highly respected organization. Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest, most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors. With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Secu city, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide. We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future. Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization. To Learn More, Visit: _ EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.

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.

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 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. As an Account Manager, Enterprise Growth Strategy you will be primarily focused on driving growth and strategy for Extend’s largest omnichannel merchants. This is a critical role centered on existing account growth, strategic relationship management, and optimization. This role requires a deeply strategic thinker with a proven track record in management consulting or dynamic startup environments who can translate high-level goals into actionable, measurable plans for our most strategic partners. The ideal candidate will be based in the San Francisco Bay Area. What You'll Do: • Lead ongoing partnership growth optimizations for Extend’s largest omnichannel merchants., • Develop and lead the growth and merchant relationship management strategy for each strategic relationship you manage., • Monitor and evaluate program performance, leveraging data and insights to identify areas of opportunity that deliver measurable ROI and sustainable growth., • Perform quarterly business reviews with internal and external executive leadership at Fortune 500 retailers and brands., • Drive go-to-market strategies and adoption of new product features across your book of business., • Manage promotional strategy and marketing development budgets., • Deepen strategic relationships by building multi-threaded connections within merchant organizations, from C-suite executives to ICs., • Collaborate with cross-functional leaders (Risk, Analytics, Marketing) to support merchant growth., • Author long-term business plans, thinking at a deeply strategic level about optimization and growth., • Inform product roadmaps and features by gathering customer feedback and conveying market needs. What We're Looking For: • Bachelor’s degree with 5-7 years experience in a dynamic startup environment and/or Big 4 management consulting experience., • A talent for breaking down complex problems and the ability to translate high-level goals into relevant and actionable plans., • In-depth understanding of value drivers in revenue share business models., • Strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders., • Excellent business acumen, presentation skills, sound decision-making abilities, and strong analytical skills., • Proven experience in project and program management, with a strong understanding of key concepts such as phases, plans, and scope., • Exceptional written and oral communication skills, with a proven ability to collaborate across all organizational levels., • Exceptional cross-functional management skills to work with internal product, strategy and operational teams to achieve results., • Experience with eCommerce, FinTech, and analytics Reporting tools (Tableau, Snowflake, Salesforce, Shopify, etc.) is a plus. Expected Pay Range: $140,000 OTE (On Target Earnings)* *The listed OTE represents the target for this role. Final compensation, including base salary and variable components, will be commensurate with experience and may be adjusted for candidates who exceed minimum qualifications. Travel: Estimated 15-20% travel to client sites and other locations as needed. 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. _

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.

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. _

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.

BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease , 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit We are looking for an exceptional customer-facing Threat Analyst to help our prospects and customers optimize their value within BioCatch solutions. The BioCatch Threat Analyst is a consultancy role that involves a combination of skills. You will be comfortable completing advanced analytics, advising customers on fraud detection/prevention and strategy with your domain knowledge expertise and communicating with customers from C-level to operational fraud investigators. This role is unique in the industry and to be successful, you must be a motivated self-starter who can ramp-up quickly and work autonomously. With a support network of Threat Analysts distributed globally, you will become a key individual in the global fight against digital fraud. It can be difficult to distill this role down to a regular day-to-day, because every day is different, however some key responsibilities include: Maintain strong relationships with fellow fraud fighters within the BioCatch customer base to support and enable them to get maximum value out of the BioCatch solutions. Provide subject matter expertise (SME) support to our customers to drive the use of BioCatch in achieving their strategic plans. Work with customers and BioCatch Data Science to continually strive for high fraud detection rates, whilst maintaining low levels of friction for genuine customers. Use a data-driven approach to prove the value of BioCatch against success criteria for proof of value and pilot projects. Educate potential and new customers on BioCatch and Behavioural Biometrics specifically for targeting their key problems and use cases. Work tactically with customers to deploy rules for acute fraud attacks. Continually focus on leading customers towards best practices. Be a voice of the customer to internal BioCatch functions to drive our own product strategy and delivery. Support BioCatch Data Science in researching new and emerging threats across our main use cases including Account Takeover, Account Opening, Remote Access Scams, Social Engineering Scams and Mule detection. Deliver reporting and insights on fraud detection performance. Share interesting stories and learnings from the field with our Sales Enablement function and strive to be a thought leader in the fraud space. Provide SME support to the BioCatch Sales functions to enable them in new customer acquisitions. • 3+ Years of experience as a Threat Analyst/Data Analyst, • A bachelors / graduate degree in Computer Science/Mathematics/Statistics/related field, • Experience with financial institutions’ fraud departments and/or fraud monitoring tools, • Experience working within cross-functional teams, • Experience with SQL to an intermediate/advanced level, • Experience with Python and/or R (advantage), • Understanding of statistical modeling techniques, • Strong presentation skills with a proven record of presenting to a range of audience types, • Great business and customer relationships, • Good communications and teamwork, • Self and quick learner, • Professional attitude Notes: • Requires availability for travel in North America to meet customers and lead onsite workshops, • Full-time, flexible working hours, • Remote working arrangement, based in USA $140,000 - $170,000 a yearWe take care of our team inside and outside of work, with benefits designed to support your health, growth, and well-being. • Flexible paid time off policy, • Sick, Maternity/ Paternity, and other paid leaves, • 401(k) plan with up to 4% company match, • Healthcare programs tailored to your needs, • Life insurance, • Wellness programs, EAP, and personalized health advocacy, • Fully remote and shared space work options across the US, • Monthly reimbursements for home internet and cell phone The benefits listed reflect our offerings at the time of posting and may be adjusted, enhanced, or, where necessary, discontinued at the company's discretion.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

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)

As Marqeta’s Principal Security Engineer you will serve as the technical lead across our security engineering function. This role combines three critical responsibilities: leading product security engineering across our payment platform, building our AI security program as we scale generative AI and ML capabilities, and providing security architecture oversight across enterprise and infrastructure security. Your primary focus will be product security and AI—threat modeling payment features, securing APIs, building genAI controls, and ensuring AI-powered capabilities ship securely. You'll also own the security architecture function and provide technical oversight for infrastructure security—endpoint protection, network security, VPN, and enterprise security controls—ensuring coherent security standards across everything we build and operate. You'll partner closely with Product Security, Infrastructure Security, and Security Operations teams and serve as the security voice in our Model Risk Office. This is an individual contributor role with mentoring responsibilities and broad technical influence across the security, engineering, and business technology organizations. We work _. This role can be performed remotely anywhere within the United States or from our Oakland office. We’d love for you to join us! You'll have the chance to: • Lead product security engineering for our payment platform—owning threat modeling, security architecture review, secure SDLC practices, and API security across the engineering organization, • Help mature our AI security programdeveloping genAI controls, securing ML pipelines, and working alongside the Model Risk Office for model evaluations., • Provide security architecture oversight across infrastructure and enterprise security—endpoint, network, VPN, and corporate security controls—ensuring technical standards are coherent across all security domains, • Shape how security engineering scales across the organization through tooling, frameworks, security champions engagement, and engineering partnerships The Impact You'll Have: Product Security: • Conduct security architecture reviews and threat modeling for new product features, APIs, and service integrations across the payment platform, • Define and maintain secure development lifecycle practices including secure code review standards, API security patterns, and authentication/authorization frameworks, • Develop self-service security tooling and developer-facing guardrails that reduce friction while maintaining security posture AI Security: • Lead security strategy and risk assessment for AI/ML systems including customer-facing AI products, fraud detection models, LLM integrations, and recommendation systems, • Build genAI security controls—prompt injection prevention, output filtering, model validation, and monitoring frameworks, • Perform security assessments of AI/ML model architectures, training pipelines, inference endpoints, and deployment infrastructure, • Evaluate and operationalize AI-powered security tools (e.g., AI-assisted code review, anomaly detection, automated threat intelligence) to improve security operations Enterprise & Infrastructure Security Oversight: • Provide technical oversight for infrastructure security including endpoint protection, network security, VPN, and enterprise security controls, • Ensure coherent security architecture standards across product, cloud infrastructure, and corporate environments, • Drive technical decisions for security tooling and controls that span the full environment—from developer laptops to production infrastructure Across All Domains: • Partner across Product Security, Infrastructure Security, and Security Operations teams as well as engineering, data science, and compliance, • Mentor security engineers and cross-functional teams, raising the organization's overall security engineering maturity, • Communicate security risks and strategy to executive and board-level audiences Who You Are: • 10+ years of security engineering experience with demonstrated technical leadership across multiple security domains; or equivalent combination of education and experience, • Deep product security expertise: threat modeling, security architecture review, secure code review, API security, authentication/authorization design, and secure SDLC practices, • Experience with or strong interest in AI/ML security—understanding of risks including adversarial attacks, model poisoning, prompt injection, data privacy, and AI supply chain threats. We want someone who is genuinely excited about AI technology and wants to secure it, not just govern it, • Broad security fluency across infrastructure and enterprise security—endpoint protection, network security, identity, and cloud security—even if your deepest expertise is in application and product security, • Experience working in cloud-native environments (AWS preferred) with familiarity across AI/ML services (Bedrock, SageMaker, etc.), • Proven ability to build security frameworks, tools, and programs from the ground up, • Strong programming skills in at least one language (Python, Java, Go, or similar) with the ability to read and review code across multiple languages, • Experience with security assessment methodologies and risk management frameworks, • Working knowledge of compliance and control frameworks relevant to financial services (PCI DSS, SOX, SOC2, NIST CSF), • Ability to communicate complex security risks to both technical and executive audiences Nice to Have: • Financial services or fintech experience strongly preferred, • Experience securing payment processing systems, card issuing platforms, fraud detection models, or transaction monitoring infrastructure, • Hands-on experience with LLM security: prompt injection mitigation, output filtering, RAG security, agent security patterns, • Experience with enterprise security platforms (EDR, SIEM, identity providers, network security tools), • Experience with ML frameworks (PyTorch, TensorFlow) or background in data science / machine learning engineering, • Knowledge of AI governance, model risk management practices, and emerging AI regulatory frameworks (EU AI Act, NIST AI RMF), • Background in supply chain security, CI/CD pipeline security, or secure software composition analysis, • Experience with privacy-preserving ML techniques (differential privacy, federated learning, secure multi-party computation), • Experience with Kubernetes, containerized workloads, and Infrastructure as Code (Terraform), • CISSP, CCSP, CISA, or other relevant security certifications, • Experience building and scaling security programs in high-growth environments Typical Process: • Application Submission, • Recruiter phone call, • Hiring manager video call, • Virtual “Onsite” consisting of 5-6, 45-60 min video calls, • Offer! At this point, we hope you're feeling excited about the role. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so again, don’t hesitate to apply — we’d love to hear from you. Compensation and Benefits: Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States: • National: A baseline tier that applies to most of the geographic territory of the United States., • Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA, • Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City. Visit _ or consult with a Recruiter to determine which tier would be applicable to you. When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is: • National: $218,300 - $272,900, • Premium: $236,200 - $295,300, • Premium Plus: $256,800 - $321,000 We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company. Along with monetary compensation, Marqeta offers • Multiple health insurance options, • Flexible time off – take what you need, • Retirement savings program with company contribution and after tax contributions, • Equity in a publicly-traded company and an Employee Stock Purchase Program, • Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave, • Free therapy sessions, financial and professional coaching, and legal advice, • Monthly stipend to support our remote work model, • Annual “development dollars” to support our people growth and development, • Through Flex First, the freedom to live and work wherever you and your family thrive

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 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.

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.

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 _.

_ provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the list every year since 2023. Last but not least, we’ve even made history - we were the first company to go live with the and testified before the _ on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office. As a Senior Software Engineer on the Data Platform team at SentiLink, you will own the data infrastructure components that support the SentiLink suite of products. You will work with product, engineering, and data science teams across the company to build, enhance and modify the data platform that powers our fraud detection products. You have outstanding programming skills and are proficient in our technology stack and pick up new technologies quickly as we evolve. This is a remote, US-based role. Technologies: Python, Golang, PostgreSQL (RDS), OpenSearch, Redshift, EMR, Spark, Docker, Lambda, AWS technologies Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products Participate in call rotation for production issues, along with the rest of engineering Mentor junior engineers and contribute to our evolving engineering best practices Drive innovation by actively participating in our hackathons and doing proof of concepts Develop functional subject matter expertise within various areas of identity fraud domain 5+ years of experience in software engineering, data engineering or related field Proficient in in python or golang and related technologies and frameworks Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP Deep understanding of different database technologies including but not limited to RDBMS (e.g. postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient queries and optimization techniques Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms Working knowledge of Infrastructure-as-Code and devops practices Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey) Self organized and ability to work independently and with ambiguity Experience working in a scrum / Agile development environment Bonus points if you have: Experience working with Spark/EMR Built streaming applications Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc. Prior experience working in a fintech startup Candidates must be legally authorized to work in the United States and must live in the United States $170,000/year - $240,000/year + equity + benefits Employer paid group health insurance for you and your dependents 401(k) plan with employer match (or equivalent for non US-based roles) Flexible paid time off Regular company-wide in-person events Home office stipend, and more! Follow Through Deep Understanding Whatever It Takes Do Something Smart

Who Should Apply** - 2+ years of professional experience in fraud engineering, risk engineering, trust & safety, or related domains. Experience building fraud detection systems, risk scoring models, abuse prevention tooling, or transaction monitoring systems. Ability to evaluate model-generated sol

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.

As the Fraud Investigation And Operations Lead for the Audible Fraud Defense Program, you will lead and oversee fraud investigations and operations at Audible. Your responsibilities will include enhancing existing fraud detection and investigation techniques, as well as proactively identifying new f

Our Sr. Product Directors obsess over their customers and pride themselves on developing features their customers love. They track the behaviors and outcomes of every feature they launch, only to keep improving the journey with each release. They listen to customers, their teams, stakeholders, SMEs across the empire while always considering the overall strategy of Caesars when they are creating, prioritizing, and sometimes negotiating items their team's backlogs and roadmaps. Sr. Product Directors are natural leaders who inspire and deliver. We're seeking a strategic, delivery-focused Sr. Product Director to lead our Payments and Fraud capabilities. You will own all of the journeys of our payment and fraud workstreamsfrom Cashier UI/UX, Customer Intelligence Platform, Routing and Orchestration, Finance, and Risk Engine while driving major improvements in platform reliability, card acceptance, fraud monitoring, and cost reduction. You have the strategy and leadership to thrive in complex environments, understand the nuances of payments and fraud, and can build scalable systems that support growth, and compliance to create fast and easy onboarding experiences which delight our customers while maintaining our operational excellence. This position sits at the intersection of Growth, Compliance, Risk, Fraud, Payments, Marketing/Martech, Engineering, Data Science, UX Research, and Customer Operations. You'll define the product strategy and roadmap, lead a team of Product Managers, and drive measurable impact across growth, trust, and operational efficiency. • Lead the product strategy and roadmap for our Payments and Risk Platforms. Your ownership, vision, and ability to deliver will directly impact several KPIs such as:, • Payment transactions including deposit and withdrawals, • Product Fraud and risk mitigation, • Transaction integrity and intelligence, • Treasury, settlements and reconciliation, • Operational dashboards, data and reporting, • Monitor, adjust and improve payment success rates, reduce friction, and optimize payment routing., • Cultivate strategic alignment across Risk, Compliance, and Finance to ensure safe, compliant, and scalable operations., • Communicate clear, data backed recommendations and tradeoffs to senior leadership, • Build, monitor and communicate results of real-time visibility into funnel health and account outcomes (dashboards, leading indicators, anomaly detection, alerting), • Champion a customer first, research driven culture while balancing risk/fraud and regulatory constraints, • Build a collaborative team culture that encourages open communication, innovation and career growth while holding Product Managers accountable and striving for excellence, • 10+ years in years developing successful digital products, including 5+ years managing Product Managers, • Expertise in designing, launching and optimizing large-scale Payment and Fraud platforms in highly regulated (AML) digital industries (e.g., online gaming, fintech, banking, payments, identity), • Expertise in creating and?maintaining roadmaps, while also training direct reports on best practices, • Ability to write descriptive narratives which demonstrate your knowledge of the problem, strategies, risks, and data which helped formulate the proposed solution or feature, • Track record of leading and delivering large-scale products from conception through to completion?, • Proven ability to engage Data Scientists and ML teams on predictive or automated capabilities, • Experience in Agile software product delivery, preferably in a scrum setting using?Jira??, • Expertise in funnel analytics, experimentation, and data-driven product development, • Executive level communication and storytelling to offer effective updates and streamline communication to a broad audience ADDITIONAL REQUIREMENTS • Experience with vendor orchestration, model monitoring, and risk decisioning platforms, • Background building platform capabilities (rules engines, feature stores, experimentation frameworks), • Find complex problems with numerous restraints exciting; and not daunting, • Enjoy learning new skills and are passionate about new developments in?technology?, • You are highly motivated individual, who wants to work with the best and be the?best?, • Ability to build trusting relationships with peers, teams, and leaders, • Ability to lead through influence, inspiration, experience, and collaboration, • You inspire teams to come together and build best in class B2C?products? The salary range for this position is $150,000.00 - $212,750.00 USD, which is dependent on a several factors including relevant experience, geography, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k)-matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid Flexible Time Off and paid company holidays. At Caesars Digital, We Don't Just Play the Game We Set the Standard. As a proud part of Caesars Entertainment, the world's premier gaming company with more than 80 years of sports betting leadership, Caesars Digital is Blazing The Trail in digital innovation, customer experience and industry excellence. We believe every Team Member should be treated like royalty because We Are All Caesars. This guiding principle fuels our commitment to delivering legendary service and creating unforgettable experiences for our customers. From cutting-edge digital platforms including Caesars Sportsbook, Caesars Palace Online, Horseshoe Online Casino and Caesars Racebook, to the continuing expansion of our retail footprint and our William Hill legacy, along with powerhouse partnerships across sports and entertainment, we're building something extraordinary. And we want you to be part of it. Ready to make your mark on the Empire? Explore our open roles and discover how you can help shape the future of gaming. Join us. Blaze the Trail. Because at Caesars Digital, We Are All Caesars. • Job Identification 82368, • Job Category Casino, • Job Schedule Full time, • Locations Jersey City Office (Hybrid)

Job Title: Java/Python Software Engineer Contract Length: 18+ Month contract Some on site work Location: ISELIN, NJ 08830 / Charlotte, NC 28282 Ref# 246041 This role supports large-scale engineering initiatives focused on data center migration and fraud detection systems. The engineer will work

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 an Experienced Field Investigator to conduct surveillance and investigative activities to identify potential fraudulent insurance claims. This role involves performing both stationary and mobile surveillance, obtaining video and photographic evidence, and preparing thorough, detailed reports for clients. KEY RESPONSIBILITIES: • Case Preparation: Prepare for surveillance assignment by reviewing Ethos' preliminary reports and case information., • Field Surveillance: Perform covert surveillance from your vehicle by tracking and capturing high-quality video evidence of surveillance targets., • Report Writing: Draft detailed and court-ready investigative reports summarizing activity and key findings., • Documentation: Finalize case file by submitting case reports and uploading video footage via personal laptop at the end of the day., • Communication: Work closely with the field supervisor and operations teams, receiving regular guidance and mentorship. REQUIREMENTS: • Previous Experience: Demonstrated proficiency in covert surveillance techniques, capturing high-quality video footage, and preparing thorough, well-organized investigative reports., • Driver's License: Valid driver's license and proof of automobile insurance., • Personal Vehicle: A well-maintained vehicle that is always reliable (preferably with tinted windows)., • Surveillance Equipment: A handheld camcorder with high-quality zoom and a covert camera device. Use of stabilization equipment (gimbals, tripods, etc.) is strongly encouraged., • Technology: A reliable laptop, cell phone, and internet service are needed for communication and administrative tasks., • Private Investigator License: Active Private Investigator license or willingness to obtain one (where required by state). 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, • Most surveillance cases start at 6:00AM. End time can vary depending on activity and a typical workday can vary from 3-12 hours., • Weekends/holidays are common workdays as claimants are more likely to be active., • This is an independent role often requiring long hours alone in your vehicle, regardless of weather conditions., • Must remain alert with no external distractions, ready to use videography equipment to document subjects. 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

We're currently looking for individuals across the country to take part in online paid research, including remote focus groups, product trials, and consumer studies.Earn up to $750 a week in your free time by providing feedback on everyday products and services.If you're comfortable sharing your opi