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Job DescriptionDescription: About US At Biz2Credit, we look for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. About the Role In this leadership role reporting directly to the Chief Risk Officer, you will oversee a team of high-performing Risk and Data Science Analysts, both onshore and offshore, to develop and implement credit risk models and AI-driven underwriting and credit decision processes, optimize strategies related to risk management, pricing, and business growth, and shape and enhance lending products and processes to ensure they are grounded in robust risk management principles, driving both innovation and stability. Responsibilities Credit Decisioning Model Development • Develop and implement advanced credit risk models (rule-based, heuristic, and machine learning) to support underwriting and portfolio management., • Automation of Customer Journey, Underwriting, and Credit Risk Framework., • Collaborate with technology, data engineering, and product teams to continuously optimize workflows. Risk Strategy Development • Design, execute, and monitor risk strategies across credit underwriting, credit limit assessments, pricing, and collections. Team Leadership & Development • Mentor and develop junior team members, fostering a high-performing credit risk team. Research and Publications • Contribute to in-house research by publishing articles and whitepapers on topics related to small business, AI, and macroeconomics.Requirements:, • Hands-on expertise in developing and implementing machine learning-based statistical models., • 10+ years of experience in banking or Fintech, specializing in Modeling for underwriting, fraud detection, risk management, or collections for either consumer or small business. Hands on Experience in Statistical Models such as Logistics regression, XGBoost, Decision trees, or other ensembles., • Proven track record in risk management within the fintech or financial services industry., • Strong understanding of fintech products, lending solutions, Embedded finance and industry regulations., • Exceptional analytical and problem-solving skills with the ability to evaluate complex scenarios and drive data-driven decisions., • 5+ years of experience in managing a high-performing risk management team., • Advanced analytical and data science skills to support decision-making and risk strategy optimization., • Exposure to LLM/Generative AI/Agentic AI is preferred Salary Range $160k-$190k

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Trust & Safety is foundational to Hinge’s mission of helping people find meaningful connections. We are looking for a Senior Director of Engineering to lead the organization responsible for protecting our community and enabling safe, authentic experiences. You will oversee engineers (including managers) across multiple product teams, partnering closely with Product, AI/ML, and Data to set strategy and ensure organizational health. This role requires a senior organizational leader who can operate across a broad surface area - structuring teams, scaling managers, and driving execution across complex, user-facing systems. While Trust & Safety is the domain, success in this role is defined by improving user experience and trust, not just mitigating risk. A key component of this role is outward-facing leadership: building partnerships across Match Group and the broader industry to anticipate trends and invest in future-proof capabilities. Responsibilities • Strategy & Organizational Health: Lead the Trust & Safety engineering org, defining multi-quarter roadmaps in partnership with cross-functional leadership. Hire and coach engineering managers, building a strong leadership bench and fostering a culture of high standards, accountability, and ownership., • Execution Excellence: Drive predictable delivery across multiple teams, balancing urgent risk response with long-term product and platform investments. Establish scalable operating rhythms for planning, technical reviews, and incident learnings., • Technical Leadership: Provide oversight for T&S platforms (detection, enforcement, appeals, identity) and ensure strong system design across backend, platform, and ML-adjacent systems., • Product Partnership: Partner closely with Product, Design, Data, and AI/ML to define strategy and deliver user-centric solutions that improve trust and overall user experience., • Partnerships: Build relationships with Match Group leaders and cross-functional partners (Legal, Policy) to align on priorities and navigate complex tradeoffs., • AI Change Management: In close partnership with Product and AI leaders, modernize enforcement and user experiences with AI-enabled workflows that are measurable, accountable, and trusted by users.What We're Looking For, • Experience: 10+ years in software engineering (distributed systems at scale) and 4+ years managing managers, with a track record of leading and scaling teams of 20+ engineers., • Technical Judgment: Strong grasp of architecture, reliability, data/ML-adjacent systems, and mobile + backend collaboration., • Product & User Mindset: Demonstrated focus on building user-centric products that improve trust and experience - not just protecting the business or enforcing policy., • Domain Expertise: Experience in Trust & Safety, abuse prevention, fraud, moderation workflows, identity, user reporting, integrity, or regulated/high-risk environments is strongly preferred., • Execution & Ownership: Strong bias toward action, with a track record of driving complex, cross-team initiatives in fast-moving environments., • Operational Agility: Comfort operating in high-urgency environments, managing incident response without sacrificing long-term quality., • Strategic Thinking: Relentless focus on driving user value whilst navigating regulatory requirementsNice to Have, • Experience partnering with AI/ML teams on detection, classification, or GenAI-related risk mitigation., • Background in regulated or safety-sensitive domains (marketplaces, fintech, social platforms)., • Familiarity with T&S operations workflows, case management, and policy-to-product translation. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge .

Job Description Lead Risk Manager, Payment Fraud Toronto Onsite | Full-Time | Hybrid after onboarding | Reports to CEO | LMIA / PNP sponsorship available About the Client Our client is one of Canada's fastest-growing fintech platforms, transforming how consumers pay, save, and earn rewards through a single seamless app. The company processes over USD $100M in annual transaction volume (TPV) with a base of 250,000+ users across North America, and its proprietary, fully in-house technology stack supports 500+ leading retail and brand partners. Headquartered in the Greater Toronto Area with a growing presence in Silicon Valley, the company is currently scaling at 300% year-over-year and is expanding its financial product suite into new categories. Role Overview Risk management at this company is not a brake on growth — it is the engine that powers it. The Lead Risk Manager will own end-to-end fraud and payment risk strategy across a multi-currency, cross-border consumer payments ecosystem, building AI-driven detection systems that automate over 90% of fraud interception and free the team from manual review cycles. This is a builder role for a Risk Leader with hacker instincts and raw analytical horsepower — someone who can reverse-engineer fraud loops, write production-grade SQL and Python, and deploy ML models (XGBoost, LightGBM) into live risk systems. The role reports directly to the CEO and operates as the strategic liaison to global payment processors and vendors. Key Responsibilities • Define the rules, don't just follow them — Lead end-to-end financial risk strategies, from opportunity identification through design, testing, and post-production monitoring., • Build AI-driven defense — Develop user behaviour scoring, anomaly detection, and automated interception models using Python/Sklearn/XGBoost/LightGBM, and deploy them into the production risk stack., • Counter-strike fraud — Investigate anomalous activity in real time, perform root-cause analysis on chargebacks, and produce authoritative reports on emerging fraud trends across multi-currency and e-commerce flows., • Own the data layer — Independently query large datasets in SQL to surface fraud patterns, evaluate model performance, and inform strategy adjustments., • Strategic liaison — Act as the single point of contact between the company and external payment processors, card networks, and risk vendors, ensuring alignment on risk policy and incident response., • Set the standard — Establish the company's long-term risk operating framework as the platform scales TPV and enters new markets. Must-Have Requirements • 5+ years of professional experience, with a minimum of 3 years dedicated to fraud risk and at least 1 year specifically within the payments industry., • Hands-on experience identifying and defending against fraud across multi-currency, cross-border, and e-commerce payment environments., • Strong reverse-engineering and problem-solving instincts — able to anticipate attacks from a fraudster's perspective., • Expert-level SQL for independent querying of large transactional datasets; strong Python proficiency., • 3+ years of hands-on experience building fraud detection models — feature engineering, training, evaluation, and production deployment., • Demonstrated proficiency with Python/R modeling frameworks: Sklearn, XGBoost, LightGBM., • Mandarin Chinese fluency (the company operates a bilingual EN/CN working environment; this is a hard requirement)., • Based in or willing to relocate to the Greater Toronto Area for the onsite onboarding period. Nice to Have • Prior experience at a top-tier payment processor, card network, or fintech with cross-border exposure., • Experience leading or mentoring a small risk / data team., • Familiarity with North American AML/KYC and consumer payment compliance frameworks. Compensation & Logistics • Base Salary: CAD 150K to 180k, • Bonus: Risk control performance bonus tied to fraud loss reduction and model deployment milestones., • Work Model: Hybrid in Toronto, with a paid 1–2 month onsite onboarding period at the Etobicoke office., • Reporting Line: Direct report to the CEO., • Immigration Support: Full LMIA and PNP employer sponsorship for top-tier candidates, including all associated costs., • Team: Work alongside payment industry veterans and a Harvard-affiliated founder defining the future of AI-driven financial security. Why This Role This is not a maintenance seat at a stagnant company. It is a builder seat at a Canadian fintech in hyper-growth, with direct CEO access, a real budget for AI tooling, and the autonomy to define the risk operating model from the ground up. For a senior risk professional who wants to operate as a general rather than an analyst, this is one of the most consequential fraud roles open in the Canadian market today.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Join Hinge as a Senior Machine Learning Engineer, where you'll lead the application of AI and machine learning to effectively mitigate the impact of bad actors, remove policy violating content, and ensure user safety on the platform. Working closely with an expanding Trust & Safety team, you will collaborate with product managers, data scientists, engineers, and analysts to develop impactful AI/ML solutions. In this high-impact position within a small, dynamic team, you'll have the opportunity to play a foundational role in shaping how Hinge utilizes AI and machine learning in various contexts. Your expertise will be instrumental in creating a safer and more meaningful user experience on their journey to find an intimate connection.Responsibilities • Develop, deploy, and maintain end-to-end machine learning models to identify and mitigate bad actors, remove policy-violating content, and ensure user safety., • Design and implement scalable systems (e.g., using Spark, Kubernetes) to preprocess data, run inference, and manage post-processing pipelines., • Define standardized performance metrics, testing protocols, and evaluation processes to measure the effectiveness, identify and mitigate potential risks, and ensure fairness of AI solutions., • Ensure ongoing assessment and refinement of AI solutions, incorporating user feedback, business impact, and emerging ethical considerations., • Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to user safety., • Stay abreast of new trends and research in AI/ML that can be applied to Trust & Safety initiatives to improve detection, user safety, and stay ahead of potential threats.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java or C++ and SQL, proficiency in at least one ML stack (e.g., PyTorch), and strong understanding of data pipelines, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning real-time machine learning models for user facing products. Experience with applying expertise to fraud detection, content moderation, or related fields is a plus ., • System design & architecture: Experience training and deploying large scale ML models. Good understanding of distributed computing for learning and inference., • Evaluation frameworks for LLMs: Experience designing robust testing protocols to ensure effectiveness, fairness, and safety of AI-driven features., • Cloud and data platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with solutions like Databricks, Ray, or KubeFlow is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Strategic technical leadership skills: Demonstrated track record of guiding teams through complex ML projects in alignment with product and business objectives., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation. Prior Experience, • 4+ years of experience, depending on education, as an MLE or data scientist. Previous experience working in Trust & Safety or related fields (e.g., fraud detection, content moderation, compliance) is preferred., • 2+ years of experience in applying end-to-end machine learning models, including data collection, model training, deployment, and monitoring in an industry setting, • 1+ years of experience integrating LLMs in real-world applications with the appropriate baseline metrics and evaluation methodologies., • 1+ years of experience utilizing ML infrastructure components such as a feature store, model training environment, model serving environment, observability, workflow orchestrator, etc., • A degree in computer science, engineering, or a related field (or equivalent practical experience).Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge .

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 Most of what makes American healthcare expensive isn’t medical care. It’s the machinery wrapped around it: middlemen taking a cut, fraud nobody stops, and billing systems designed to fight over payment instead of deliver care. The result is higher premiums, denied claims, surprise bills, and a system patients increasingly experience as adversarial. Arlo is rebuilding health insurance for small businesses from first principles: making sure as much of every premium dollar as possible goes to care instead of getting absorbed by the system around it. We do that by identifying fraud earlier, steering members toward higher-quality and lower-cost care, automating operational overhead, and eliminating vendors whose business exists mostly to take a cut. AI is the foundation that makes this work. We use it across underwriting, operations, clinical programs, and member experience to build an insurer that becomes more efficient as the technology improves. We’re already operating at meaningful scale: profitable, hundreds of millions in premiums, tens of thousands of members covered, and growing quickly through brokers, employers, and partners. Backed by Upfront Ventures, 8VC, and General Catalyst, with a team from Palantir, YC companies, and longtime healthcare operators. About the role Arlo quotes small businesses using AI-powered underwriting that predicts individual risk to determine group rates. But accurate pricing requires more than historical data alone — at the time of quoting, additional signals like prior rates, aggregate claims history, and self-reported health information can meaningfully sharpen our view of a group's risk profile. This role sits at the center of four connected problems: learning from post-policy data to understand where our risk blindness lies, building automated quoting systems that act on softer signals, understanding how algorithmic changes ripple through to sales outcomes, and maintaining the integrity of the data pipelines that underpin all of it. What you'll work onPost-quoting intelligence Emerging risk detection. Analyze early-period claims data to surface patterns that indicate risk was underestimated at quoting — and quantify the gap. Blindness measurement. Build frameworks to systematically identify where the external claims database is incomplete or lagged, and estimate the magnitude of those gaps. Rate determination. Develop calibration factors that translate soft signals — based on competitive information, econometrics and emerging events — into rate adjustments layered on top of core model output. Feedback loop infrastructure. Create pipelines that carry post-quoting learnings back into upstream models so calibration improves continuously. Auto-quoting automation Multi-signal fusion. Design models that ingest heterogeneous inputs and synthesize them into an enriched risk view that reduces reliance on manual review. Confidence scoring. Build the logic that decides when a quote can be issued automatically versus routed to a human, minimizing queue volume without increasing adverse selection. Threshold and rule design. Collaborate with underwriting to set and validate auto-issuance decision thresholds, and monitor their performance over time. Sales performance analytics Algorithm impact attribution. When we adjust rating algorithms, tighten auto-quoting rules, or change data quality requirements, measure the downstream effect on quote volume, win rates, and sales conversion — and distinguish model-driven changes from market-driven ones. Sales funnel diagnostics. Identify where quote kickouts, rate changes, or data submission friction are creating drop-off in the sales pipeline, and quantify the cost of each leakage point. Data quality incentive analysis. Understand whether brokers and groups that provide richer data at submission (more complete census, aggregate claims, prior rates) achieve better pricing outcomes — and help us make that case externally. Data ingestion and pipeline integrity Ingest delay profiling. Map the latency characteristics of our live policy data — claims, enrollment, eligibility — and identify which delays are structural versus operational, and where they introduce systematic bias into our models. Consistency monitoring. Build checks and alerting for data inconsistencies across our ingestion layer: duplicate records, mismatched member IDs, enrollment timing gaps, and reporting lags from carriers or TPAs. Upstream data partnerships. Work with engineering and data teams to document known data quality issues, prioritize fixes, and maintain a clear picture of what the data can and cannot reliably support at any given point. What we're looking for Required 3–5 years in a data science or quantitative analyst role Proficiency in Python (scikit-learn, pandas, statsmodels) and SQL Experience building and validating predictive models end-to-end Comfort working with messy, inconsistent real-world datasets Experience designing or auditing data pipelines for quality and consistency Ability to communicate model behavior and business impact clearly to non-technical stakeholders Nice to have Background in insurance, actuarial data, or healthcare claims Experience with GLMs, survival analysis, or credibility theory for pricing Familiarity with group health underwriting or broker distribution models Experience building confidence-based routing or triage systems Exposure to sales funnel analytics or conversion attribution Familiarity with MLflow, dbt, or similar tooling How you'll work You'll be an individual contributor embedded with underwriting, pricing, and sales teams — with direct access to the people who use your outputs daily. You'll own projects from data exploration through to production deployment and monitoring, without a separate ML engineering handoff layer. Work spans Python-based modeling and SQL-driven analysis equally; both matter. Your models directly influence pricing decisions and sales outcomes, so accuracy, explainability, and sound uncertainty quantification are all first-class concerns. You'll work closely with engineering on data ingestion questions — this role requires comfort sitting at the boundary between data science and data engineering. Why Join Arlo: High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. Join an important mission: Your work directly influences how people access care and improves lives at scale. Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law. 🔒 Your safety matters to us. If you're selected to move forward in our hiring process, you'll hear directly from a member of our Recruiting team via an @joinarlo.com email address. We will never ask for personal or financial information outside of our formal onboarding process. When in doubt, please reach out to us to verify at: recruiting@joinarlo.com.

Job DescriptionCompany Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a highly skilled Senior Software Engineer to join our FinTech team and help design, build, and scale high-quality global software solutions that handle high-volume payment processing and fund distribution. In this role you will collaborate closely with product managers, finance, compliance, engineering peers, and our QA team to drive technical initiatives, being responsible for ensuring money flows reliably, securely, and on time across our platform and that everything meets or exceeds strict performance and regulatory standards. This role is ideal for engineers who have an open mind for innovation and expansion but also a clear understanding and appreciation for regulations and standards. WHAT YOU'LL DO As a Senior Software Engineer on our team, you will: • Design, implement, and maintain reliable systems for processing payments, scheduling payouts, and reconciling transactions., • Ensure funds distribution happens on time and at scale, with strong SLAs and monitoring., • Collaborate with Finance, Compliance, and Product teams to build features that meet regulatory, tax, and reporting requirements, • Integrate with third-party payment processors, banks, and financial networks (ACH, wire transfers, card processors, digital wallets), • Architect systems for auditability, security, and fault tolerance across distributed services, • Implement and improve automated reconciliation, ledgering, and reporting pipelines, • Lead technical discussions on scalability, reliability, and fraud prevention in payment systems., • Work closely with first party and third party integrators, contribute to code reviews, and promote engineering best practices., • Drive process improvements in CI/CD, monitoring, alerting, and observability for financial workflows.Qualifications WHAT WE'RE LOOKING FOR: • 5+ years of experience building backend systems, with at least 2 years in a senior/lead capacity, • Strong proficiency in C#, ASP.NET (Web API) and SQL Server, • Hands-on experience with payment processing, banking integrations, or financial transaction systems, • Deep understanding of databases and transactional integrity (SQL Server, Postgres, MySQL, or NoSQL systems), • Familiarity with event-driven architectures, queues, and schedulers (Kafka, RabbitMQ, SQS/SNS, etc.), • Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code, • Knowledge of security and compliance standards for payments (PCI DSS, SOC 2, GDPR), • Strong communication skills and ability to collaborate across engineering, finance, and business teams, • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience BONUS POINTS FOR: • Experience with NodeJS, TypeScript and Angular. Experience with Mobile development (.NET MAUI, Objective-C, Android, etc.), • Experience working with ACH, SEPA, card networks, or real-time payment rails, • Background in ledgering systems, accounting workflows, or treasury operations, • Familiarity with fraud detection and risk mitigation strategies Fully Remote: This role has been designated as fully remote, meaning it is expected to be performed from a non-Versant worksite, typically an employee’s residence. Occasional travel is required and can range from within the country (typical, various times of the year) to global (not typical but still possible). #LI-Remote Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com. VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description About the Role We are building an AI-native data platform that powers fraud detection and response across 360 Fraud Protection. We are hiring a Staff or Principal Data Engineer to own the data platform and data lake at the heart of that work. You work hands-on and own the domain end-to-end, alongside a small group of senior engineers, data scientists and product partners. • Owns the unified data platform and data lake that powers detection and response across 360 Fraud Protection., • Every detection model and downstream AI capability depends on this data foundation, which makes it one of the highest-leverage engineering roles on the team., • Stronger, broader and more reliable fraud signal directly improves detection accuracy, reduces customer losses and protects brand trust. Key Responsibilities • Own the design, build and operation of the data lake and ingestion platform end-to-end, from architecture through production reliability., • Build low-latency batch and streaming pipelines that ingest signals from internal and external sources, normalize them to a common schema, enrich them with context and serve model-ready data to the layers above., • Make adding a new data source a routine task rather than a project, so our view of risk keeps widening over time., • Establish data quality, freshness, completeness, lineage and observability so the platform is trustworthy enough to automate on top of., • Build data pipelines that ground generative AI, including unstructured text and threat intelligence processing, embedding generation, vector storage and retrieval., • Own deployment, CI/CD and operational reliability of the platform on Kubernetes., • Partner with data science, product and architecture to turn the platform into a shared foundation across 360 Fraud Protection. Required Qualifications • Extensive experience building and operating large-scale data platforms and data lakes, with comfort working at high data volumes., • Deep, hands-on expertise with Apache Spark, Apache Flink and modern big-data systems., • Proven command of best practices for building and maintaining data pipelines in both batch and streaming modes., • Strong production engineering skills across the full delivery lifecycle, including Kubernetes and CI/CD tooling, with the ability to ship end-to-end., • A track record of owning data infrastructure end-to-end with limited supervision. Preferred Qualifications • Experience with generative AI and embedding models, including embedding pipelines, vector databases and retrieval., • A cybersecurity or threat intelligence background, with hands-on exposure to threat types such as phishing, mobile threats and malware., • Familiarity with transaction data and transaction fraud signals. Compensation • Base salary range: $180 – $270, • Bonus / commission: 15% Travel • Minimal travel expected. This is an on-site role based in New York City, with 3–4 days per week in the office. AppGate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Job DescriptionDescription: Hybrid 4 days on site in New York, NY The mission of the Analytics Engineering team at our client is to enable, facilitate, and develop their ability to make data-driven strategic decisions. We are looking for Analytics Engineers to build and own domain datasets that will power insights, executive reporting, and strategic initiatives. This individual contributor role will focus on developing AE’s nascent partnerships with stakeholders across the org, aligning and collaborating closely with the Strategy and Business Intelligence team to ensure business objectives are measured and insights developed. You will spend most of your time collaborating with stakeholders to translate business needs into analytical datasets, owning the end-to-end data lifecycle and enabling self-serve analytics across the organisation. If you enjoy going deep into data, getting creative to uncover insights and solve problems, and seeing the real-world downstream impact of your data in strategic decisions, this role is a great opportunity to dive in and shape the future of data here. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $55.00 to $65.00/hr. w2 Responsibilities: • Liaise and partner with Data/Business Analysts, Data Scientists, Data Engineers, and other stakeholders to translate business requirements into actionable analytics datasets., • Design and implement scaled data architecture that enables analysis and data-driven decision making across one or more data domains., • Design, implement, and maintain scaled data pipelines to ensure high-quality, reliable, and sustainable data delivery processes., • Design and implement data quality checks and anomaly detection for dataset certification and KPI computation accuracy., • Establish and refine the data catalogue and semantic layer to ensure proper usage by non-technical stakeholders and AI systems., • Collaborate with Strategy and Business Intelligence partners on dashboard and reporting designs and implementations that support key strategic decisions., • Monitor and optimize workflows for performance and cost efficiency., • Apply data governance, security, privacy, and hygiene best practices across the data lake to ensure purpose-appropriate usage and PII compliance., • [Senior] Drive alignment and make key technical decisions around data architecture and presentation layers for cross-functional use., • [Senior] Provide feedback and technical coaching, and run design and code reviews., • [Senior] Mentor and support junior and contingent talent. Experience Requirements: • Bachelor’s Degree in Computer Science, Information/Data Science, Operations Research, Econometrics, a relevant technical field, or equivalent practical experience., • [Junior] 2+ or [Mid-level] 5+ or [Senior] 8+ years in roles focused on data modeling, building data artifacts and pipelines, and scaling self-serve analytical capabilities., • [Junior] 2+ or [Mid-level] 5+ or [Senior] 8+ years with SQL, ETL/ELT, data modeling, and at least one programming language, with Python preferred., • Strong understanding of data lakehouse principles and modern data architecture., • Strong communication skills to build stakeholder relationships and drive alignment., • Preferred: Advanced degree in a STEM field., • Preferred: Experience designing and implementing reports and dashboards using technologies such as Microsoft Power BI, Looker, or Tableau., • Preferred: Strong experience in AWS services such as Athena, S3, Glue, Lake Formation, and Lambda., • Preferred: Experience with or contributions to Apache projects including Airflow, Arrow, Hudi, Iceberg, Parquet, and Spark., • Preferred: Expertise in performance tuning and capacity management for big data systems., • Preferred: Experience in Marketing or Sports data domains., • Preferred [Senior]: Experience evaluating big data technologies and systems to define strategic technical and architectural direction. Education Requirements: Bachelor’s Degree in Computer Science, Information/Data Science, Operations Research, Econometrics, a relevant technical field, or equivalent practical experience. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact fraud@eliassen.com. About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description About Netcraft Netcraft is the global leader in cybercrime detection and disruption. We're a trusted partner for three of the four largest companies in the world and many large governments. We've blocked almost 200 million cyber-attacks to date, and we take down around 33% of the world's phishing attacks. Our purpose and passion are focused on just one thing: protecting the world from cybercrime. That passion shapes how we work, too. We're proud of our talented team and the value each person brings, and we've built a workplace where people feel supported and inspired. From strong benefits and wellness programs to meaningful collaboration and team connection. About the Role As Head of Threat Research at Netcraft, you will lead the team responsible for publishing research grounded in Netcraft's unique data sets, including global malicious URL and domain telemetry, and a takedown corpus spanning more than 20 years of phishing, malware, and brand impersonation attacks. This is a newly created role within the expanding Product Strategy and Emerging Threats team. You will conduct hands-on research, lead a small team of threat analysts, own the publication pipeline, and help represent Netcraft through conferences, webinars, media engagements, and written publications. This is a remote position based in the United States, with occasional travel for conferences, team meetings, and customer engagements. What the Job InvolvesContent Leadership & Public Presentation • Set editorial direction and quality standards across whitepapers, customer reports, blog posts, and briefing materials, • Speak at industry conferences and webinars, including keynotes, panels, and expert commentary, • Present complex findings to security analysts, senior executives, board members, and government officials, • Serve as a media spokesperson on Netcraft's threat research, including interviews and commentary with media outletsResearch & Analysis, • Research phishing, malware, malicious JavaScript, and cybercrime campaigns using Netcraft's threat intelligence platforms, • Produce threat assessments ranging from short reactive write-ups on active campaigns to in-depth briefings on threat actors and emerging trends using internal telemetry and open-source intelligence, • Track how threat actors exploit current events, emerging technologies, and changes in the threat landscape, • Attribute infrastructure and campaigns to named threat actor groups and criminal ecosystems over time, • Review the team's research output for quality, accuracy, and technical depth prior to publicationTeam Leadership & Collaboration, • Mentor and develop a team of threat analysts, • Partner with engineering and operations teams to turn research findings into detection rules, IOC feeds, takedown signals, and platform improvements, • Support complex customer engagements by mapping threats to frameworks such as MITRE ATT&CK, the Diamond Model, and the Cyber Kill Chain, while briefing customers directly, • Brief product, marketing, and sales teams on research findings to support roadmap planning, positioning, and customer conversationsWho You AreRequired Skills & Experience, • Published research in threat intelligence or cybersecurity (blog posts, whitepapers, conference talks, etc.), • Experience presenting original research to audiences ranging from technical analysts to C-suite executives, • Several years of threat intelligence experience, including experience leading or managing a team, • Strong editorial judgment with experience reviewing and improving research writing for clarity, quality, and accuracy, • Experience managing or contributing to a publication pipeline, • Deep understanding of phishing, malware, online fraud, social engineering, and threat actor TTPs, • Current working knowledge of web technologies, internet infrastructure, and data analysisYou'll Thrive Here If You, • Enjoy balancing hands-on research, team leadership, and public speaking, • Can communicate complex technical concepts clearly to both technical and non-technical audiences, • Prefer working with first-party intelligence and care about translating research into meaningful disruption, detection, and takedown outcomesThe Rewards Package, • 33 days vacation, including national holidays (which can be worked if preferred), • Generous enhanced family leave and pay, • Enhanced sick pay increasing with length of service, • Equity Tracking Units allowing you to share in Netcraft's long-term success (eligibility criteria apply), • Hybrid and flexible working options, • 401(k) Safe Harbor Plan with employer match, • Comprehensive private health coverage, including medical, dental, vision, and life insurance, • Meals, snacks, and drinks provided in the office, • Two paid Learning & Development days per year plus access to learning platforms such as Udemy and Coursera, • Two paid Volunteering Days per year to support community and charitable involvement, • Spot reward bonus scheme recognizing outstanding contributions, • Employee Referral Bonus scheme Diversity, Equity & Inclusion This is deeply important to us. Through our ally network, we support under-represented groups and maintain a working environment free from bias, harassment, or discrimination. We encourage candidates from all backgrounds to apply. We're also happy to make adjustments to the hiring process to ensure every candidate can participate fully. Please note: Netcraft does not accept unsolicited approaches from external recruiters.

Job Description Octagon Talent Solutions is a full-service technology recruitment and staffing company based in South Florida. We humanize technical recruitment by identifying candidates' long-term career goals and assessing cultural fit when presenting opportunities. Our focus on long-term relationships helps ensure placements that last. Job Overview: One of our explosively growing clients is building the future of identity verification and fraud detection, powering real-time decisions for many of the largest financial institutions in the U.S. Octagon Talent Solutions is in search of a Data Platform Engineering Manager to lead a team responsible for the data infrastructure that underpins their products and decisioning systems, spanning ingestion, transformation, storage, and low-latency serving. This is a fully remote (US-based) role with high ownership, meaningful technical depth, and a direct impact on how we detect and prevent identity fraud at scale. RESPONSIBILITIES: • Lead, mentor, and grow a high-performing Data Platform team (currently ~7 engineers, expanding)., • Set technical direction and drive architecture for real-time and batch data systems—ingestion, processing, storage, and serving., • Partner closely with Data Science, Product, and Engineering to ensure data is reliable, accessible, and actionable across the business., • Establish and reinforce best practices for data quality, observability, governance, and schema management., • Improve platform performance, scalability, and cost efficiency in collaboration with Infrastructure/Platform teams., • Build an execution culture of ownership and accountability (monitoring, alerting, incident response, and continuous improvement)., • Contribute hands-on when needed through design reviews, technical deep-dives, and problem-solving in complex systems., • Maintain a high hiring bar and help scale the team with thoughtful recruiting and onboarding. REQUIREMENTS: • 2–5+ years of engineering management experience leading data/platform/backend teams (with strong people leadership)., • Prior experience as a senior/staff-level data engineer or backend engineer with a strong data focus; still able to go deep “in the weeds” when required., • Proven track record building real-time, low-latency production systems where data is accurate, controllable, and served quickly to downstream systems., • Strong fundamentals in system design, distributed systems, and operational reliability., • Experience with modern cloud data platforms and architectures (AWS preferred)., • Proficiency in Python, Golang, or similar languages; comfortable reviewing and guiding production-quality code., • Strong SQL and data modeling knowledge; experience with relational databases and warehouses., • Startup or growth-stage experience; comfortable operating in a fast-paced, high-ownership environment. Nice to have: Spark/EMR, Kafka/Flink, Redshift, OpenSearch, Docker/containerized deployments, and experience supporting ML or fraud/risk systems.

Job DescriptionSales Director Ad Tech • Individual Contributor • Remote (DC or NY metro area relocation required) • Full-Time Base: $100K–$130K • OTE: $150K–$200K ABOUT PIXALATE: Pixalate is the global leader in fraud detection and privacy compliance for digital advertising — safeguarding billions in ad spend for Fortune 500 brands, the world’s largest DSPs and SSPs, CTV publishers, and major app marketplaces. Our work goes beyond software. We’ve surfaced high-profile criminal networks and illegal surveillance operations covered by the Washington Post, NBC News, ProPublica, Gizmodo, and Adweek. UNICEF recognized us as a Key Innovator for protecting children’s online privacy. When fraudsters evolve, we’re the ones who catch them. We’re now building the next generation of AI-powered detection systems — and we need a Sales Director who can bring that capability to the buyers who need it most. Our global team of data scientists, engineers, economists, lawyers, and researchers operates across offices in McLean, VA, Washington D.C., London, and Singapore. The sales team is lean (10 people) and high-output — every person here has real impact. THE OPPORTUNITY This is a high-impact individual contributor role reporting to the VP of Strategic Partnerships. You’ll own a book of business across key ad-tech verticals — DSPs, SSPs, publishers, CTV/OTT platforms, mobile app developers, brands, and agencies — and drive new revenue from first contact through close. This isn’t a role for someone who wants to manage a playbook someone else built. We want a self-starter who thrives in a fast-moving environment, can navigate complex multi-stakeholder deals, and is excited to sell a product that genuinely matters. There’s a clear path to sales leadership as the team grows. WHAT YOU WILL DO: • Own the full sales cycle — prospecting, outreach, discovery, negotiation, and close — consistently meeting or exceeding quarterly new business targets., • Build and grow a pipeline across DSPs, SSPs, publishers, CTV/OTT platforms, mobile app developers, brands, and agencies., • Sell to technical and product buyers — CTOs, Product Managers, Ad Ops leads, Data Science teams — and navigate complex, multi-stakeholder deals with confidence., • Position Pixalate as a trusted advisor on ad fraud, brand safety, privacy compliance (COPPA, GDPR), and measurement — not just a vendor., • Contribute market intelligence and field insights to GTM strategy, helping sharpen positioning and identify new segments., • Collaborate cross-functionally with Customer Success, Data Science, Ad Operations, Engineering, Legal, and Marketing to deliver an exceptional client experience from first demo to go-live., • Represent Pixalate at industry events, conferences, and in the trade press — you’ll become a known voice in the ad verification space.WHAT SUCCESS LOOKS LIKE: In your first 30 days: • Deep product fluency — you can demo Pixalate’s platform confidently and explain our fraud detection methodology to a technical audience., • First prospecting sequences launched across your target verticals., • Shadow 3–5 active deals with the existing team to understand our sales motion. By month 3: • Active pipeline built, first meetings booked independently., • First deal closed or meaningfully advanced to late stage. By month 6: • On track to quota. Trusted by cross-functional partners. Contributing insights to GTM strategy.WHAT WE ARE LOOKING FOR:, • 5+ years of quota-carrying sales experience within the ad-tech ecosystem — programmatic advertising, CTV/OTT, mobile apps, DSPs/SSPs, ad verification, or marketing analytics platforms., • Strong working knowledge of the digital advertising supply chain — you know who the key players are, how the money flows, and where the pain points live., • Experience closing 5–7 figures deals with technical and product stakeholders (CTOs, Product Managers, Ad Ops leads, Data Science teams)., • Familiarity with ad fraud, brand safety, privacy compliance (COPPA, GDPR), or measurement and attribution — this is a meaningful advantage., • Entrepreneurial mindset — you take initiative, build your own pipeline, and operate with a high degree of ownership., • Strong communicator who can simplify complex technical concepts for non-technical buyers and build genuine trust with sophisticated ones., • Comfortable working in a lean, fast-moving team where results matter more than titles. COMPENSATION AND BENEFITS Compensation • Base salary: $100K–$130K depending on experience, • OTE: $150K–$200K with uncapped commission — your earning potential scales with your performance Health & Wellbeing • Medical, dental, and vision insurance — 100% of employee premiums covered by Pixalate, 50% for dependents, • Generous parental leave and maternity leave, • Unlimited PTO Financial • 401(k), • Employee referral bonus program, • Monthly internet reimbursement Work Style • Remote-first — work from the DC or NY metro area, • Casual, flexible work environment, • Annual team events, • Clear path to sales leadership as Pixalate’s team grows, • International and Domestic Travel OUR CULTURE We are a small, high-output team where results speak louder than titles. We move fast, think analytically, and value bold ideas. Collaboration is core to how we work — across functions and time zones. We believe the best sales people are also curious researchers and trusted advisors to their clients. If you want to be one of 10 people in a sales org where your deals make a visible difference — and where the product you’re selling protects children’s privacy and exposes billion-dollar fraud — we want to talk. Powered by JazzHR 6hQlmGgA0w

Job DescriptionAbout UsCanary Technologies is changing the game for hotels with modern software powered by Canary's hospitality-specific AI platform. Canary is utilized by 20,000+ hoteliers in 100+ countries to equip hoteliers with the technology they need to work smarter and wow their guests. Major hotel brands such as Wyndham, Marriott, IHG, Four Seasons, Rosewood, and Best Western trust Canary to deliver results. Canary was named a 2024 Deloitte Technology Fast 500™ company, a Most Innovative Company by Fast Company and a HotelTechReport Best Place to Work — and is backed by top Silicon Valley investors like Y Combinator, F-Prime, Brighton Park Capital and Insight Partners. Join us in shaping the future of hospitality! About the Role As the Director of Product for Payments, you will own the product vision and execution for Canary's payments platform. You'll operate at the intersection of fintech and hospitality, partnering with payment processors, managing PCI compliance, and delivering secure, frictionless payment experiences across mobile check-in, kiosks, sales and catering workflows, and international markets. If you thrive in a high-stakes environment and love direct P&L ownership of a critical area, this role is for you.Responsibilities • Own the end-to-end payments product strategy across the company. Define the multi-year vision that enables Canary to dramatically expand its Payments business., • Expand payment processor integrations to unblock Sales and Activation globally. Prioritize integrations based on addressable market, enterprise deal requirements, and international needs., • Build and scale payments infrastructure as a platform. Deliver capabilities like card-on-file, tokenization, fraud detection, chargeback prevention, surcharging, currency exchange, and reporting that all application teams can leverage., • Coach for outcomes, build payments domain expertise, and develop technical product leaders., • Orchestrate complex go-to-market motions with Sales, Partnerships, and Marketing. Structure payment processor agreements, enable the sales team on payment capabilities, and close enterprise deals where payments are a gating requirement., • Operate in a fast-paced, high-accountability environment. Make pragmatic build vs. buy decisions, ship MVPs to validate hypotheses, and iterate based on customer feedback and payment data.Qualifications, • 6+ years in product management, including at least 3+ years in payments., • Deep understanding of payment processing ecosystems: acquirers, processors, gateways, tokenization, PCI compliance, interchange economics, and payment methods (cards, ACH, wallets, bank transfers)., • Track record of building and scaling payment products from 0 to 1 and at scale, with measurable business impact (TPV, revenue, margin improvement)., • Experience navigating regulated environments and complex technical integrations with payment processors and PSPs., • Strong product judgment for balancing security, compliance, user experience, and commercial outcomes in payment flows., • Proven ability to drive enterprise deals where payments are a critical component. Experience with Vertical B2B SaaS is a strong plus., • Technical fluency to partner with Engineering on payments infrastructure, API design, event-driven architectures, and fault-tolerant systems., • Comfortable operating in a fast-paced, high-growth environment with evolving priorities and competing stakeholder needs., • Bonus: Experience with international payments, chargeback management, fraud prevention, or sales and catering / events management software.Compensation The base salary range for this role is $225,000 – $255,000. In addition to base salary, this position is eligible for a performance-based bonus paid quarterly, with a target of $20,000 - $40,000 annually. This brings the total expected cash compensation range to $240,000 - $290,000. Compensation is subject to standard withholding and applicable taxes. Actual compensation will be commensurate with the candidate’s skill level, experience, and specific work location. This role may also include the opportunity to earn equity. We also work hard to ensure Canary is a fun and exciting place to work! Here are some of the additional benefits: Canary Days: As a company we want to ensure that the team has time to recharge. Each month we provide company wide days off to ensure there is at least one extended weekend or day off. Self Improvement Club: We meet each month and share our personal goals for the month. Each individual is provided a budget towards any purchases that help us achieve these goals. Professional Development Chats: We provide budget to help drive cross functional professional development conversations across the organization. Travel Reimbursement: Team members are able to visit our offices across New York, San Francisco or Dallas when they choose, and are provided a travel stipend for doing so. Spend time working with the team in their office, and use the rest of your time exploring a new city! Personal Travel Reimbursement: If you stay at a hotel that Canary works with, we provide a credit towards your stay. Canary Technologies is an equal opportunity employer. We recruit, employ, train, compensate and promote talent regardless of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Trovy Trovy is building the financial home base for America’s 86 million homeowners — the go-to platform for managing your home and accessing low-rate credit, because life is expensive and unpredictable. We believe your biggest asset should unlock your best financial options: bypass the myriad of expensive, rigid credit products and replace them with one simple, powerful solution built around your home equity. Backed by top-tier venture capital, Trovy is led by a team of proven fintech innovators on a mission to make homeownership more manageable. Don’t own a home without it. Role Overview We’re seeking a Card Fraud Manager to own fraud risk operations across Trovy’s HELOC card product. You’ll manage credit card disputes, oversee transaction authorizations, lead fraud reviews across origination and servicing, and build the operational infrastructure that keeps the card program running cleanly for borrowers and the business. This role requires deep card issuer experience: you know how card fraud works end-to-end and can move from hands-on investigation to policy recommendation without missing a beat. You’ll work closely with our BIN sponsor, card network, and internal teams, with direct influence over how Trovy’s fraud controls evolve. This is a high-ownership, operator role with meaningful growth potential as the portfolio scales. Key Responsibilities Disputes & Chargebacks Manage end-to-end dispute and chargeback operations, from intake and investigation through provisional credit decisions and network responses via Trovy's BIN sponsor Maintain dispute tracking and reporting, including aging, resolution rates, root cause trends, and cardholder outcomes Develop and refine dispute procedures to meet network timeframes and regulatory obligations, and recommend policy changes to reduce dispute volume over time Authorization Operations Monitor card authorization activity, including declines, system exceptions, and velocity flags Triage and resolve authorization issues in coordination with the card processor and BIN sponsor Maintain authorization rules documentation, track performance metrics, and escalate anomalies to leadership and bank partners Fraud Review — Origination & Servicing Conduct manual fraud reviews across origination and servicing, covering identity verification, ATO, synthetic identity, and first-party fraud Make disposition decisions on fraud cases and escalate appropriately to compliance, legal, or law enforcement when warranted Maintain case documentation and SAR-referral workflows, and coordinate with origination and credit teams on fraud signals that affect underwriting Fraud Policy & Controls Analyze fraud loss trends and recommend changes to rules, velocity controls, and detection logic Evaluate and optimize third-party fraud tooling, and flag gaps in coverage Develop fraud policy documentation and support reporting to Trovy's BIN sponsor and card network Operational Processes & Reporting Build and maintain operational runbooks and deliver regular fraud and dispute performance readouts to leadership Partner with compliance on Regulation E/Z obligations, network rules adherence, and any regulatory inquiries related to card operations Support audit and exam preparation related to card operations and fraud controls What We’re Looking For 5+ years of experience in fraud or card operations at a card-issuing fintech or bank required. Hands-on experience with credit card disputes and chargebacks, including Mastercard/Visa network rules and Reg E/Z Strong command of card fraud types (CNP, ATO, synthetic identity, friendly fraud) and end-to-end investigation and disposition workflows, including SAR referral Experience with fraud tooling platforms, Feedzai, Sardine, Sift, or similar, and the ability to evaluate and optimize them Familiarity with BIN sponsor relationships and card network compliance requirements Able to recommend fraud policy changes, build processes from scratch, and operate with autonomy in a fast-moving environment Why Join Us? Compensation: Base Salary: $100,000 – $140,000 commensurate with experience , meaningful equity participation. Market Opportunity: Join a team tackling the $30T home equity market. Early Impact: Help shape our operations from the ground up. Ownership: Competitive salary, meaningful equity, and room to grow Location: On-site, New York City or Salt Lake City Benefits: 401K, 100% company-paid dental, medical, vision and life insurance, flexible time off, and more Compensation Range: $100K - $140K

Job Description Total Required Experience in Years: Minimum 7+ Years Relevant Experience, Minimum 5+ Years as Product Owner Mode of Work: Hybrid Job Description:Seeking an experienced Product Owner to lead Generative AI initiatives within the credit card and financial services domain, leveraging Large Language Models (LLMs), prompt engineering, and AI-driven workflows to improve customer experience, fraud detection, risk assessment, and operational efficiency. The ideal candidate should possess strong expertise in product ownership, Agile delivery, Generative AI, financial technology, credit card systems, and AI governance. This role requires ownership of AI product strategy, backlog prioritization, AI model governance, stakeholder collaboration, and business value realization while ensuring secure, ethical, and regulatory-compliant AI solution delivery across enterprise financial systems. Key Responsibilities: • Define product roadmap and strategy for Generative AI initiatives across credit card business functions, • Lead AI adoption initiatives supporting customer support bots, fraud detection, personalized marketing, and credit risk assessment, • Translate business requirements into actionable user stories, sprint goals, and acceptance criteria for engineering and data science teams, • Manage and prioritize product backlogs aligned with business goals and AI delivery roadmaps, • Own AI model lifecycle performance including reliability, safety, governance, and hallucination mitigation strategies, • Ensure AI initiatives comply with enterprise governance frameworks, GDPR, privacy regulations, and financial compliance standards, • Collaborate with legal, compliance, risk, IT, engineering, and business teams to support secure AI deployment, • Evaluate business KPIs and value optimization including cost reduction, engagement improvement, and fraud prevention outcomes, • Participate in Agile/Scrum ceremonies and support continuous product improvement initiatives, • Support AI-powered chatbot, fraud analytics, customer personalization, and financial recommendation capabilities Additional Responsibilities: • Collaborate with technical teams supporting AI/ML workflows, model deployments, and business integrations, • Ensure AI governance, ethical standards, and enterprise compliance requirements are maintained, • Facilitate communication between technical and non-technical stakeholders, • Participate in strategic planning, product reviews, and AI innovation discussions, • Support enterprise AI adoption and business transformation efforts Required Skills: • Strong experience as a Product Owner within financial services, banking, or credit card environments, • Strong expertise in Generative AI, LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG), • Experience managing Agile/Scrum product delivery and backlog prioritization, • Strong knowledge of credit card systems, fraud detection, customer engagement, or risk assessment workflows, • Familiarity with Python, SQL, data visualization tools, and AI/ML workflows, • Knowledge of AI frameworks such as TensorFlow and LangChain, • Strong stakeholder communication, leadership, and decision-making capabilities, • Strong understanding of AI governance, compliance, privacy, and ethical AI frameworks Qualifications: • Minimum 7+ years of relevant experience required, • Minimum 5+ years of Product Owner experience preferred in financial services, banking, or credit card environments, • Strong knowledge of Generative AI, financial technology, and Agile product management required, • Experience supporting secure and ethical AI deployments in regulated industries preferred Certifications: • Scrum certification preferred, • SAFe certification preferred, • Agile Product Owner certification preferred

Job DescriptionPrincipal Applied Scientist Full-time New York City, NY, US Exclusive confidential search — details shared with qualified applicants. Benefits You'll Love • Top-tier medical, dental, and vision coverage, • 401(k)Become a Key Player as a Principal Applied Scientist You will own the deterministic enforcement layer that guarantees compliance before AI messages are sent, driving accuracy, cost, and latency tradeoffs. You will work as the senior individual contributor on this layer, collaborating directly with the founder and backend engineers to define technical direction. Hybrid (3 days onsite) in the New York City area. Here's How You'll Make an Impact on the Team • Own the deterministic detection and enforcement layer end to end: rule system, retrieval, matching logic, and production runtime, • Build the evaluation harness and labeled-data flywheel to demonstrate and improve accuracy, • Measure and optimize precision, recall, cost, and latency, and balance tradeoffs between them, • Define architecture direction for the deterministic layer alongside model and retrieval components, • Translate plain-language policy and regulation into deterministic rules and own the reasoning behind each decision, • Adapt rules to customer-specific policies, including per-tenant configuration, • Run tight error analysis on missed violations and false alarms to improve trust and performanceHere's What You'll Need to Be Successful in This Role, • 8+ years in applied ML, NLP, or high-accuracy detection systems with shipped production work, • Hands-on experience in information retrieval, entity recognition, pattern and rule design, and rigorous evaluation, • Proven judgment as a senior individual contributor who sets technical direction, • Strong instincts for when deterministic rules outperform models and how to push precision and recall, • Bias for shipping and for measuring outcomes of what you shipHere's What Else Might Help You Out, • Experience in compliance, regtech, or other regulated domains, • Building high-precision/high-recall detection or classification systems (fraud, security, content moderation, etc.), • Experience adapting a rule system to many customers (per-tenant policy/configuration), • Experience combining deterministic and model-based components in production, • Public research, open source contributions, or technical writingPay Range $200-$250K/year Ready to Make Your Mark? This role may fill quickly. Submit your resume to be considered. Apply with Pioneers here

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

Job DescriptionWho we are Findigs is on a mission to make renting work for all of us: to support every path, and simplify the way forward. We’re making every aspect of renting fairer, stress-free, and more convenient by changing the fundamentals of renting.Our digital rental application offers a safe and seamless way to apply and get approved for your next home. We specialize in developing software and services for property managers nationwide, empowering them to deliver exceptional service to renters, while evaluating applications with unmatched speed and precision. The Role As a Senior Software Engineer, you will play a pivotal role in delivering innovative and fast-paced software solutions. In this role, you will own end-to-end product features, working alongside a cross-disciplinary product team composed of Product, Data, Design and Engineering. You’ll also work with the team to drive solutions that address product and business objectives to make renting a better experience for everyone. In this Senior position, you will be responsible for delivering product features to market. You’ll be tasked with partnering with cross-functional partners, while mentoring and coaching early career Engineers in order to up-level skillsets and foster a strong, collaborative team dynamic. Our tech stack includes: Python, Django, Typescript, React, Temporal.io, Postgres, and more. Please note, we are unable to sponsor or take over sponsorship of an employment Visa at this time.Where you will make an impact: • Lead the design, development, and deployment of end-to-end web applications and services., • Partner with Product, Data Science, Compliance, and Security to define, scope, and deliver impactful projects., • Architect scalable, performant, and secure systems, and guide technical decisions across the stack., • Own features from concept to integration, collaborating with engineers to connect frontend and backend systems., • Champion secure coding practices, reusability, and maintainability through hands-on development and code quality standards., • Contribute to team performance through mentorship, code reviews, pairing, and thoughtful technical documentation., • Continuously improve site performance and observability using telemetry and proactive optimization., • Help prioritize features, navigate trade-offs, and shape the user and developer experience with creative, practical solutionsQualifications of a successful candidate:, • Bachelor’s Degree in Computer Science/Engineering, bootcamp or equivalent work experience., • 6+ years of full-stack development experience with proficiency in Node.js, Python, Java, or Ruby., • Strong experience with relational and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or DynamoDB., • Skilled in API design (REST, GraphQL, gRPC) and service-oriented architecture., • Hands-on experience with cloud platforms (AWS, GCP, or Azure), containers, and orchestration tools like Docker and Kubernetes., • Familiarity with CI/CD pipelines, automated testing, and test-driven development., • Solid understanding of security best practices, encryption, and data privacy regulations (e.g., GDPR, CCPA, PCI-DSS)., • Excellent communicator with experience collaborating across teams and leading engineering initiatives., • Proven leadership in mentoring, technical decision-making, and driving best practicesNice-to-haves:, • Experience in fintech or PropTech., • Background in identity verification, KYC standards, and fraud detection technologies., • Familiarity with document verification tools and AI-based identity solutionsExperience working in regulated industries and with compliance frameworks like AML and KYCWhat we offer:, • Location: We operate on a hybrid schedule (3-4x times in-office per week), with core collaboration days on Monday, Tuesday, and Thursday at our newly renovated NoHo office., • Mission-Driven Culture: A collaborative, high-impact workplace where we challenge each other to grow, innovate, and drive meaningful change., • Competitive Compensation: Competitive base salary + Pre-IPO equity., • Generous Time Off: We trust our team to manage their own time and workload. That's why we offer a flexible Paid Time Off (PTO) policy, allowing you to take the time you need to rest and recharge. We also observe all company holidays., • Wellness Perks: Health benefits, 401(k) matching up to 4%, monthly gym stipend, and lunch provided every day.Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, and the scope of responsibilities in the role. In addition to cash compensation, all full time employees receive an equity compensation package. Compensation disclosure as required by NYC Pay Transparency Law.Interviewing with Us We're committed to making our interview process as effective and candidate-friendly as possible. We use a tool called Brighthire.ai to record our interviews so that our interviewers can focus entirely on the conversation and not get distracted by taking notes. Please note, if you move forward with the interview process, you'll always have the option to opt out of the recording. We are an equal opportunity employer and as such all applicants will be considered based solely upon merit and directly relevant professional competencies. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Hi, we're Oscar. We're hiring multiple Staff Product Managers to join our Product team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: We are hiring Staff Product Managers to join our Core Insurance Platform and Network pillars. By applying to this job post, you will be considered for all Staff Product Manager openings across our tech org. Core Insurance (Payment Integrity): Every dollar Oscar pays on a claim that contains a billing error, a coding mistake, or fraud is a dollar that doesn't go toward affordability for our members. Oscar's Payment Integrity team makes sure we pay claims accurately. Historically, this work has been heavy on friction - retrospective audits, denials, and provider disputes that create burden for everyone, including members. Oscar is shifting toward a prospective model that puts members first: catching issues upstream instead of resolving them after the fact. As a Staff Product Manager on this team, you will own the strategy and roadmap for a domain being reshaped by AI. You'll lead work that combines Oscar's core insurance technology platforms - rules, audits, recovery workflows - with LLM-powered medical record review, anomaly detection, and agentic workflows that compress weeks of human review into hours. You'll partner with engineers, data scientists, clinical coders, finance, and vendor partners to ship products that meaningfully reduce avoidable spend without adding friction for providers or members. Network: As a Staff Product Manager on our Network team, you will own the product strategy for our provider data reconciliation and quality platform. You'll transform our existing reconciliation engine into a transparent, operator-controlled system that empowers Network Operations teams to maintain high-quality provider data with confidence. You will define product strategy for provider data reconciliation, quality tooling, and operational configurability across credentialing, contracting, and provider data operations workflows. You will drive explainability of complex ETL pipelines and reconciliation logic, making the "why" behind data decisions transparent to operational partners. You will enable self-service operations by building configuration interfaces that shift control from engineering to business operators and partner deeply with data engineering to validate data models, relationship logic, and completeness while translating technical concepts for business stakeholders. As a Staff Product Manager, you will deliver visibility products that help Network Operations and downstream client teams understand provider data health, utilization patterns, and conflict resolution workflows You will report into a Director, Product. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $180,504.00 - $236,911.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses. Responsibilities: • Driving the execution of complex, cross-functional initiatives by managing projects that will drive operational efficiencies and achieve key business objectives., • Partnering closely with stakeholders including cross functional department leaders across the business including Product, Design, Engineering, Network and Operations to define strategy and roadmap., • Collaborating with Engineering and Product leadership to make resource trade-off decisions and to ensure teams are working together effectively., • Provide recommendations to leadership for product enhancements to improve existing products and development of new ones., • Develop operating models for new products in partnership with leadership., • Compliance with all applicable laws and regulations., • Other duties as assigned. Requirements: • 7+ years of product management experience., • 5+ years of experience in driving rigorous prioritization processes., • 5+ years of experience with tech systems and understanding basic technology infrastructure such as backend services, database relationships, and leveraging database tools such as SQL., • 3+ years of experience leading complex, cross-domain initiatives., • 3+ years of experience root-causing ambiguous problems, building roadmaps towards a solution, and successfully executing against that roadmap. Bonus points: • Comfort in working in highly collaborative environments while ensuring the team is always driving towards a decision., • Excellent analytical and quantitative skills; proved experience using data to identify opportunities, test theories and evaluate success., • Experience as an end-to-end thinker; the ability to look at a problem and create a solution all the way from top-level goals to smaller details., • Ability to influence and manage stakeholders at all levels and experience working across all levels of leadership using strong communication and structured thinking. This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

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 DescriptionProduct Security Engineer 1 opening Required Skills Ai & securityApp security toolingLlm securityProgramming proficiency Job Description Job Title: Product Security Engineer Job Type: Full-time Location: Remote The Role We are seeking a Product Security Engineer to help define the future of AI-native security engineering. In this role, you will operate at the intersection of application security, machine learning, and developer productivity—designing autonomous security systems that scale with modern software development. You will lead the evolution of our security platform by embedding AI-driven controls directly into the software lifecycle, enabling continuous risk discovery, intelligent remediation, and secure deployment at the speed of innovation. What You'll Do • Architect and build AI-powered security systems that autonomously identify, triage, and remediate vulnerabilities across applications, infrastructure, and AI workloads., • Develop agentic security workflows that leverage LLMs and machine learning for code review, threat detection, vulnerability correlation, root-cause analysis, and automated fix generation., • Reimagine the Secure Software Development Lifecycle (SSDLC) by integrating intelligent security controls, AI guardrails, and continuous validation into CI/CD pipelines., • Lead threat modeling initiatives for distributed systems, AI platforms, RAG architectures, model-serving infrastructure, data pipelines, and autonomous agents., • Design security frameworks for protecting AI systems against emerging threats including prompt injection, model abuse, data poisoning, adversarial attacks, and sensitive data leakage., • Build behavioral detection models and risk engines to identify synthetic identities, document fraud, account takeover attempts, and other adversarial activity within customer onboarding and KYC workflows., • Apply machine learning and contextual risk scoring to reduce alert fatigue, prioritize security findings, and drive autonomous remediation decisions., • Partner closely with engineering, platform, and AI research teams to ensure security is embedded as a native capability rather than a downstream function., • Scale a culture of security engineering through mentorship, technical leadership, and enablement programs focused on secure AI development practices. What We're Looking For • Demonstrated experience building or applying AI/LLM-powered security solutions, including agentic workflows, autonomous remediation systems, vulnerability discovery, or security copilots., • Deep expertise in Application Security, Product Security, or Security Engineering with a strong software development background., • Hands-on experience integrating enterprise security tooling (e.g., Snyk, Checkmarx, GitHub Advanced Security, Semgrep, Wiz, Lacework) into automated developer workflows and AI-driven orchestration platforms., • Strong understanding of modern security architecture, cloud-native systems, APIs, microservices, and distributed computing environments., • Deep familiarity with OWASP Top 10, OWASP Top 10 for LLM Applications, secure AI development practices, and emerging AI threat models., • Advanced programming skills in Python and at least one additional language such as Go, Java, Rust, or Node.js., • 8+ years of experience spanning Application Security, Software Engineering, Infrastructure Security, or related technical domains., • Proven track record driving large-scale automation initiatives and transforming security programs from reactive operations to autonomous, intelligence-driven systems., • Exceptional communication skills with the ability to translate complex technical and AI-related risks into strategic business decisions. Preferred • Experience securing AI products, foundation model platforms, inference infrastructure, or agentic systems in production environments., • Background in applied machine learning, security data science, fraud detection, or behavioral analytics., • Contributions to open-source security tools, AI security research, or industry thought leadership., • Experience operating within high-growth technology companies, AI labs, or research-driven engineering organizations., • Familiarity with emerging areas such as AI red teaming, model evaluation, agent security, autonomous penetration testing, or AI safety engineering.

Job Description Capgemini is a leading technology consulting company specializing in insurance product innovation, technology modernization and operational transformation. We partner with top-tier U.S. insurers to enhance personal lines product portfolios, drive growth, and modernize operations. We are seeking a Senior Property & Casualty Insurance Product Manager – Personal Lines with expertise in product rationalization, new product development, product run-offs, regulatory strategy, InsurTech enablement, and claims transformation. This role requires deep industry knowledge and strategic consulting skills to advise insurers on optimizing personal lines products, navigating compliance requirements, and implementing emerging technologies. Key responsibilities include leading product portfolio optimization, rate filings, and competitive market assessments. The candidate will also drive digital transformation initiatives, evaluating InsurTech solutions such as telematics-based pricing, AI-driven claims automation, and predictive analytics for risk segmentation. Additionally, they will support regulatory advisory projects, ensuring compliance with state DOI regulations, NAIC model laws, and evolving legislative changes. The ideal candidate will have 10+ years of P&C insurance product management or consulting experience, strong expertise in personal lines pricing, underwriting, and compliance, and familiarity with technology platforms like Guidewire, Duck Creek, and Majesco. Preferred qualifications include CPCU, AINS, ARM, Lean Six Sigma, or PMP certifications. This is an exciting opportunity to work with leading insurers on high-impact projects, leveraging data-driven strategies and InsurTech solutions to reshape the future of personal lines insurance. Join us and contribute to strategic innovation, regulatory excellence, and digital transformation in the insurance industry. Key Responsibilities: The key responsibilities of this role will include supporting Client and Internal Project Teams with a mix of the following capabilities: Strategic Consulting & Client Advisory • Act as a trusted advisor to top-tier insurers on personal lines insurance products, including homeowners, auto, renters, and umbrella., • Lead product rationalization efforts, optimizing insurers’ portfolios to reduce complexity, enhance profitability, and improve customer experience., • Drive new product development, leveraging telematics, usage-based insurance (UBI), embedded insurance, and AI-driven pricing models., • Develop and implement product run-off strategies, ensuring compliance, financial stability, and seamless transition for policyholders., • Guide insurers through regulatory advisory initiatives, ensuring product strategies align with state DOI regulations, NAIC model laws, and evolving consumer protection standards. Regulatory Compliance & Market Strategy • Advise on state and federal regulations, helping clients navigate rate filings, compliance risks, and policyholder protections., • Manage engagements related to state DOI rate filings, competitive benchmarking, and regulatory impact assessments., • Provide insights on emerging legislative changes (e.g., climate risk mandates, AI-driven underwriting guidelines, and telematics regulations). InsurTech Enablement & Digital Transformation • Partner with technology teams to implement digital underwriting, AI-based risk models, and automation tools., • Evaluate and recommend InsurTech solutions such as:, • Telematics-based pricing (e.g., Cambridge Mobile Telematics, Arity), • AI-driven claims processing (e.g., CCC Intelligent Solutions, Snapsheet), • Fraud detection & predictive analytics (e.g., Shift Technology, FRISS), • Customer experience & digital distribution (e.g., Cover Genius, Trov), • Support insurers in modernizing core platforms, working with vendors like Guidewire, Duck Creek, and Majesco. Claims Transformation & Risk Management • Assist clients in claims process optimization, leveraging automation, AI, and predictive analytics for faster claims adjudication., • Develop strategies for fraud detection, litigation management, and claims efficiency improvements., • Work with claims and risk teams to align product design with evolving risk trends (e.g., climate change impact, cyber risks in personal lines, and increased litigation costs). Project Leadership & Stakeholder Engagement • Lead cross-functional consulting engagements involving actuarial, underwriting, IT, claims, and distribution teams., • Develop and present strategic recommendations to C-suite executives, supporting data-driven decision-making., • Manage multiple client engagements, ensuring timely delivery, regulatory alignment, and measurable business impact. Requirements • Education: Bachelor’s degree in Business, Finance, Insurance, or a related field (MBA, CPCU, or AINS preferred)., • Experience: 5+ years in P&C insurance product management, consulting, or strategy roles, with a strong focus on personal lines., • Industry Certifications (Preferred):, • CPCU (Chartered Property Casualty Underwriter) – Deep expertise in P&C insurance., • AINS (Associate in General Insurance) – Strong foundational knowledge of insurance operations., • ARM (Associate in Risk Management) – Specialization in risk assessment and mitigation., • Lean Six Sigma or PMP – For project management and operational efficiency., • Technical Expertise:, • Deep knowledge of personal lines product development, pricing, underwriting, and risk management., • Experience with product rationalization, run-off strategies, and market repositioning., • Strong understanding of state insurance regulations, rate filings, and DOI compliance., • Familiarity with InsurTech solutions, AI-driven pricing models, and claims automation technologies., • Proficiency in data analytics tools (e.g., SQL, Python, Tableau, Power BI) for actuarial and risk modeling., • Consulting & Leadership Skills:, • Proven ability to develop strategic recommendations and present to C-suite executives., • Strong project management skills with experience leading cross-functional teams in product transformation., • Excellent problem-solving, analytical, and communication abilities., • Expertise in Agile methodologies for product development and market deployment., • Use of Lean Six Sigma frameworks for process optimization and operational efficiency., • Experience with customer journey mapping, product lifecycle management, and digital transformation strategies. Benefits This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally renowned group, • Private Health Insurance, • Retirement Plans, • Paid Time Off, • Training & Development About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55+ year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported €22.5 billion in revenues in 2023. https://www.capgemini.com/us-en/about-us/who-we-are/

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

Job Description Job Summary We are seeking an experienced Product Manager/Product Owner with deep expertise in Cards and Payments within the Banking and Financial Services industry. The ideal candidate will be responsible for defining product vision, managing product roadmaps, and delivering innovative card and payment solutions that enhance customer experience and drive business growth. The candidate should possess strong domain knowledge across Credit Cards, Debit Cards, Payment Processing, Digital Payments, Card Lifecycle Management, and Banking Operations. This role requires close collaboration with business stakeholders, engineering teams, risk and compliance groups, and external payment partners. Key Responsibilities Product Strategy & Roadmap • Define and execute the product strategy, vision, and roadmap for Cards and Payments products., • Drive product innovation and digital transformation initiatives within the banking ecosystem., • Gather customer, business, and market requirements to identify new product opportunities., • Prioritize product features and enhancements based on business value and customer needs., • Manage the end-to-end product lifecycle from ideation through implementation and production support. Stakeholder Management • Work closely with Business, Technology, Operations, Risk, Compliance, and Vendor teams., • Translate business requirements into user stories and functional specifications., • Own and prioritize the product backlog., • Facilitate Agile ceremonies and ensure successful sprint execution. Risk & Compliance • Ensure compliance with banking regulations and industry standards., • Partner with Risk and Compliance teams on product controls and governance., • Support audit, regulatory, and security requirements. Required Skills & Experience • 5+ years of Product Management or Product Ownership experience., • Strong Banking and Financial Services domain experience., • Hands-on experience with Cards and Payments products., • Experience working with Agile/Scrum delivery methodologies., • Strong understanding of product lifecycle management., • Experience managing cross-functional teams and stakeholders. Domain Expertise Cards Credit Cards, Debit Cards, Card Issuing, Card Servicing, Card Processing, Rewards and Loyalty Programs, Card Activation, Chargebacks and Disputes, Fraud Prevention Payments Payment Processing, Payment Gateways, Merchant Payments, Digital Payments, ACH, Wire Transfers, Real-Time Payments (RTP), Mobile Wallets, Contactless Payments, Tokenization Technical Knowledge API Management, REST APIs, Open API Specifications, Postman, Payment Integrations, SQL (Preferred), Jira, Confluence, Azure DevOps Preferred Experience • Experience with Visa, Mastercard, American Express, or Discover ecosystems., • Exposure to card processors such as Fiserv, TSYS, FIS, First Data, or Global Payments., • Knowledge of PCI-DSS compliance., • Experience with Fraud Detection and Risk Management platforms., • Exposure to Open Banking and Banking-as-a-Service (BaaS) initiatives. Education Bachelor's degree in Business, Finance, Computer Science, Information Systems, or a related field.

Job Description About Fin Fin is a next-generation payments platform built for high-value, global, and instant transactions. We are a Series A-stage company backed by Sequoia, Circle, and other notable investors. Powered by stablecoins, Fin enables users and businesses to move millions of dollars in seconds - whether to other Fin users, directly into bank accounts, or across crypto rails. By combining the speed of crypto with the reliability and trust of traditional finance, Fin reimagines how money moves worldwide. If banks and payment products were reinvented today, they would look like Fin. Role Overview We are hiring our first Fraud/Risk Analyst to join our Risk & Compliance team . This role will focus on identifying, analyzing, and mitigating risks associated with digital asset transactions – including ACH fraud and compliance with applicable regulations like the Patriot Act and Bank Secrecy Act. This is a critical position, reporting directly to the CEO, and will require a combination of technical, analytical, and regulatory expertise to build a robust fraud detection and risk assessment framework from the ground up. Key Responsibilities Develop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape. Take action to resolve automatically flagged transactions and individuals File suspicious activity reports as required Monitor and analyze transaction data to detect potential fraud, suspicious activities, and emerging risk trends. Utilize advanced data analysis techniques and fraud detection tools to identify anomalies and potential security threats. Create and maintain risk assessment models to evaluate the financial and reputational impact of potential fraud incidents. Partner with the engineering team to design and implement fraud detection systems, leveraging machine learning and predictive analytics. Ensure alignment with regulatory requirements, including AML, KYC, and digital asset regulations. Draft detailed reports and dashboards on risk findings, fraud incidents, and risk mitigation strategies for senior leadership and stakeholders. Lead cross-functional risk assessments for new product launches, ensuring security and fraud prevention measures are integrated into product design. Stay abreast of emerging risks in the digital asset space, including regulatory changes and new fraud tactics. Develop incident response plans for fraud detection and participate in incident response drills to assess and enhance our risk management framework. Qualifications Bachelor's degree in Finance, Economics, Computer Science, Data Science, or related field. 5+ years of experience in fraud analysis, risk management, or financial crime prevention, ideally within fintech, digital assets, or blockchain environments. Demonstrated experience with fraud detection systems, transaction monitoring tools, and data analysis platforms (SQL, Python, R). Strong knowledge of digital asset platforms, blockchain technology, and stablecoin ecosystems. Experience with regulatory compliance, particularly regarding AML, KYC, and financial crime prevention. Exceptional analytical and problem-solving skills with a data-driven approach to decision-making. Strong written and verbal communication skills, with the ability to clearly articulate complex risk findings to non-technical stakeholders. Preferred Qualifications Certifications such as Certified Fraud Examiner (CFE), Certified Risk Manager (CRM), or CAMS. Experience with machine learning models for fraud detection and predictive analytics. Familiarity with incident response protocols and risk mitigation frameworks in financial services. Prior experience in a fast-paced startup or scaling fintech environment. Compensation Range: $100K - $175K

Job DescriptionABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are looking for a Senior Data Scientist to join our Compliance Program and play a pivotal role in modernizing and strengthening our financial crime detection capabilities. You will architect, build, and optimize data-driven transaction monitoring models, coverage assessment frameworks, and advanced analytics solutions that directly support BSA/AML regulatory compliance, including but not limited to SAR filing, Customer Identification Program elements, and Enhanced Due Diligence measures. The role will also support the OFAC Sanctions, Fraud and overall risk prioritization across multiple products and jurisdictions. This is a high-impact, cross-functional role that blends advanced analytics, machine learning, and deep compliance domain expertise. You will work closely with Compliance, Engineering, Model Risk, Product, and external regulators to ensure our controls are robust, defensible, and scalable. RESPONSIBILITIES: • Design, develop, and enhance AML and fraud models, rules, and heuristics using Python, SQL, and AI-enabled tooling; partner with the Compliance Machine Learning team on model reviews to improve detection rates and reduce false positives., • Build and maintain interactive performance dashboards and automated reporting solutions that track key risk, productivity, and capacity metrics for senior leadership and regulators., • Architect and implement enterprise-wide Transaction Monitoring Coverage Assessment frameworks, including standardized methodologies for gap identification, root-cause analysis, remediation planning, and ongoing sustainability monitoring., • Lead complex data initiatives, including extraction of SAR filing metrics with product-level breakdowns and development of jurisdiction- and typology-specific SAR narrative generator tools., • Embed data science best practices into product launches and feature rollouts to proactively identify and close monitoring coverage gaps., • Support regulatory examinations (e.g., NYDFS Part 504) by preparing analytical documentation, third-party validation materials, and executive certification packages., • Drive continuous improvement of compliance operations through automation, process optimization, and advanced analytics.BASIC QUALIFICATIONS:, • 7+ years of hands-on data science / advanced analytics experience in financial services, with at least 4 years focused on fraud and financial crime compliance., • Master's degree (or higher) in Applied Mathematics, Statistics, Data Science, Actuarial Science, or a related quantitative field., • Proven track record of building and optimizing transaction monitoring models, coverage frameworks, or compliance analytics programs in a regulated environment (fintech, bank, or payment company preferred)., • Deep understanding of BSA/AML regulations, suspicious activity reporting, customer due diligence, sanctions screening, and model risk management principles., • Demonstrated ability to translate complex regulatory requirements into actionable data solutions and present findings to senior leadership and regulators., • Certified Anti-Money Laundering Specialist (CAMS) or equivalent compliance certification is strongly preferred.PREFERRED SKILLS AND EXPERIENCE:, • Experience leading cross-functional initiatives involving Engineering, Legal, Product Compliance, and external consulting partners., • Background in building internal case management systems, SAR automation tools, or RPA solutions., • Familiarity with AML detection platforms., • Track record of delivering measurable impact (e.g., reduced case volumes, improved detection of high-risk activity, increased operational efficiency).COMPENSATION AND BENEFITS: $148,000- $220,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. ITAR REQUIREMENTS: • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Job DescriptionWho we are. Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes. Youtube: Reality Defender Wins RSA Most Innovative Startup The Manager of Solutions Engineering (Presales) Role. As Manager of Solutions Engineering (Presales), you will lead a team of technical experts who serve as the critical bridge between our sales organization and prospective customers. You will ensure that technical evaluations are executed flawlessly, that our deepfake detection platform is properly positioned to solve customer challenges, and that your team becomes trusted technical advisors to enterprise and government buyers. This role requires deep technical acumen, strong leadership capabilities, and the ability to translate complex AI and cybersecurity concepts into business value. You will build and scale a high-performing team that drives technical wins, accelerates sales cycles, and ensures customers understand the full capabilities of our multi-modal detection platform. Responsibilities include: Build a repeatable demo and POC/Trial program which enables the GTM team with self-serve capability Oversee complex technical evaluations, proof-of-concepts (POCs), and pilot programs that demonstrate the value of Reality Defender's detection capabilities Partner closely with Account Executives to qualify opportunities, conduct technical discovery, and architect solutions that address customer use cases across fraud prevention, brand protection, and content integrity Define the technical sales motion and pre-sales methodology, ensuring alignment with the overall go-to-market strategy Deliver and enable compelling technical demonstrations and presentations to technical and executive audiences, showcasing detection across video, audio, image, and text modalities Lead, mentor, and scale a team of Solutions Engineers supporting enterprise and government sales cycles Serve as the technical voice during customer engagements, articulating our API-first architecture, integration patterns, and deployment models Drive the technical win strategy for strategic deals, including developing custom solutions, integration architectures, and security documentation Establish best practices for technical qualification using frameworks like MEDDPICC to ensure proper vetting of opportunities Build and maintain technical collateral, including reference architectures, integration guides, POC guides Create scalable enablement programs to onboard new technical and non-technical GTM team members Serve as the primary feedback loop between Prospects/Customers and Product/Engineering teams, translating field insights into actionable product requirements and roadmap input Ensure the team maintains deep expertise in AI/ML, deepfake generation techniques, API integrations, cloud architectures, and cybersecurity frameworks Develop technical success metrics and reporting frameworks to measure SE effectiveness, time-to-value, POC win rates, and technical close rates Support RFP/RFI responses with technical content, architecture diagrams, and security/compliance documentation for regulated industries Build strong relationships with technical champions and economic buyers at key accounts, establishing credibility and trust throughout the sales cycle Who you are. 5+ years of experience in Solutions Engineering, Sales Engineering, Solutions Architecture, or forward-deployed technical roles at B2B SaaS or cybersecurity companies 2+ years of people management experience, including hiring, coaching, and scaling technical teams Deep technical expertise with API-first platforms, RESTful architectures, webhooks, and cloud-based integrations (AWS, Azure, GCP) Experience supporting complex enterprise and government sales cycles with 6-12+ month timelines Proven track record of running successful POCs, pilots, and technical evaluations that lead to closed business Strong understanding of AI/ML concepts, computer vision, NLP, and generative AI technologies; familiarity with deepfakes or synthetic media is a plus Experience with cybersecurity, fraud prevention, or risk management solutions and understanding of security frameworks (SOC 2, FedRAMP, NIST) Exceptional presentation and communication skills with ability to engage audiences ranging from developers to C-level executives Strong consultative approach with ability to uncover technical requirements, map them to product capabilities, and articulate business value Experience working cross-functionally with Sales, Product, Engineering, and Customer Success teams to drive customer outcomes Analytical mindset with ability to establish metrics, track team performance, and use data to drive improvements Ability to thrive in a fast-paced, high-growth startup environment while building scalable processes and frameworks Willingness to travel up to 25-30% for customer meetings, conferences, and strategic opportunities What we offer. Reality Defender offers the following benefits to all our employees, regardless of location: Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents Dental and Vision plans with 100% premium coverage for employees and their dependents Short/Long-term disability and life insurance plans with 100% premium coverage for employees FSA/HSA and 401k programs Equity compensation 20 days of PTO per year 12 weeks of Parental Leave Learning and Development budget Monthly wellness benefits Annual company-sponsored offsite For employees working from Reality Defender’s HQ in NYC, we offer the following benefits: Daily in-office lunch through UberEats Commuter benefits Remote Fridays Happy Hours and other local events Compensation Range: $165K - $195K

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.

Job Description The P&C Core Insurance Transformation Engagement Director is responsible for leading transformation initiatives for property and casualty insurance. This role demands a visionary leader who can innovate and drive change while collaborating effectively with stakeholders across various functions. The Director will manage large-scale programs, ensuring alignment with the company's strategic objectives and operational efficiencies. The Engagement Director will also strengthen relationships with key clients, providing expert guidance and insights into industry trends and best practices. The Engagement Lead / Program Director is the accountable executive for a large-scale insurance transformation spanning multiple jurisdictions and lines of business. This leader directs program governance, financial stewardship, and value realization while orchestrating the full SDLC—from Strategy and Inception through Design, Build, Testing, Deployment, Hypercare, and Continuous Improvement. Success requires a mix of deep insurance domain knowledge, estimation mastery, scaled-agile delivery, and executive stakeholder influence across business and technology. The Engagement Lead is responsible for implementing a structured, end-to-end estimation and governance process that ensures predictability, transparency, and control across the entire program lifecycle. This begins with defining clear scope boundaries, delivery assumptions, and productivity baselines, followed by decomposing work into manageable components and applying consistent sizing standards. Estimates are validated through collaborative reviews and integrated into financial planning, translating effort into cost projections with contingency buffers. Continuous calibration occurs at key milestones to reflect actual performance, ensuring forecasts remain accurate and risks are proactively managed. All estimation outputs feed into program dashboards and Earned Value Management for full traceability. In parallel, the role establishes robust program governance through Steering Committees, Architecture and Change Advisory Boards, and Testing Councils, supported by a PMO for planning, reporting, risk management, and vendor coordination. Governance enforces RACI, RAID, OKRs, and quality gates across phases, while maintaining strict controls for scope, change management, configuration, and go-live readiness. Auditability is ensured through end-to-end traceability from requirements to business outcomes. The Engagement Lead oversees the full SDLC, including initiation and visioning, requirements and design validation, build and integration, testing and quality assurance, release and cutover, hypercare stabilization, and legacy decommissioning. Compliance with multi-jurisdictional regulations (NAIC, DOI, GLBA, HIPAA, PCI-DSS) and strong data governance practices are embedded throughout. Finally, the role drives delivery across core platforms (Guidewire, Duck Creek, Majesco) and their ecosystem integrations, ensuring alignment with enterprise architecture and operational readiness. This structured approach enables predictable delivery, financial transparency, regulatory compliance, and measurable business value, positioning the program for success from inception through optimization. A successful candidate will bring deep insurance domain expertise across both personal and small commercial lines. They will understand the full breadth of personal lines products, including Auto (BI, PD, UM/UIM, PIP, MedPay), Homeowners, Renters, Condo, Landlord, Umbrella, Boat/Marine, Valuable Personal Property, Flood (NFIP), and Earthquake coverage. They will also have hands-on knowledge of the claims value chain, from First Notice of Loss (FNOL) through coverage verification, investigation, evaluation, negotiation, settlement, salvage and subrogation, fraud detection, litigation, and recovery. In addition, they will be well-versed in policy and billing processes, including rating, underwriting, endorsements, renewals, cancellations, reinstatements, payment methods, dunning, and refunds. On the commercial side, the candidate will understand Business Owners Policy (BOP), Commercial Auto, Workers’ Compensation, General Liability, Commercial Property, Inland Marine, Cyber, and Professional Liability. They should be familiar with commercial-specific workflows, such as multi-location risks, schedules, certificates, audits, loss control, and producer/agency integration. Beyond technical and domain knowledge, the candidate will demonstrate exceptional behavioral competencies. They will think strategically and systemically, seeing interdependencies across business, technology, risk, and operations. They will exhibit executive presence and influence, simplifying complexity and driving decisions at the C-suite level. They will be outcome-oriented, anchoring delivery on measurable value and using data-driven insights to guide progress. Adaptability is key—balancing agile speed with governance rigor and thriving in ambiguity. They will navigate conflicts pragmatically, maintain resilience under pressure, and communicate with clarity and confidence. As a talent builder, they will foster high-performing, distributed teams and create an environment of psychological safety. Integrity and compliance will be non-negotiable, ensuring controls and auditability throughout. Finally, the candidate will have extensive experience leading large-scale insurance transformations, with at least 15 years in the industry and 10 years in program leadership for core platform implementations. They will have delivered programs across multi-state regulatory contexts and multi-vendor ecosystems, with hands-on experience in platforms like Guidewire, Duck Creek, or Majesco, and expertise in scaled agile (SAFe), DevSecOps, and data migration. Strong financial stewardship skills, including Earned Value Management and forecasting, are essential. A bachelor’s degree in business or technology is required; a master’s degree and certifications such as PMP, PgMP, SAFe SPC/RTE, Agile, ITIL, or cloud architecture are highly preferred. Requirements Key Responsibilities & Expectations: • Lead Enterprise Transformation – Drive large-scale P&C insurance core system modernization initiatives across personal and small commercial lines, ensuring successful design and execution aligned with strategic objectives., • Develop Strategic Plans – Create and maintain program charters, roadmaps, budgets, and release strategies, ensuring deliverables meet quality standards and business goals., • Establish Robust Governance – Implement governance structures (Steering Committee, Architecture Review Board, Change Advisory Board, Testing Council) and enforce RACI, RAID, OKRs, and quality gates across all phases., • Implement Structured Estimation & Financial Control – Apply an end-to-end estimation process integrated with financial planning, maintain transparency through Earned Value Management, and continuously calibrate forecasts., • Direct Full SDLC Lifecycle – Oversee all phases from inception through design, build, testing, deployment, hypercare, and optimization, ensuring predictable delivery and operational readiness., • Ensure Regulatory & Compliance Adherence – Embed controls for NAIC, state DOI, GLBA, HIPAA, PCI-DSS, and other regulatory requirements; maintain auditability and strong data governance., • Drive Technology Delivery – Lead implementation of core platforms (Guidewire, Duck Creek, Majesco) and ecosystem integrations for billing, claims, document management, payments, and analytics., • Collaborate & Communicate – Establish clear communication channels with internal teams and stakeholders, manage expectations, and ensure alignment across business and technology., • Foster Client Relationships – Engage with clients to understand needs and challenges, provide tailored solutions, and leverage industry expertise to advise on best practices and innovative approaches., • Monitor & Optimize Performance – Track KPIs, validate benefits against business case, and use metrics and analytics to inform decisions and drive continuous improvement., • Build & Lead High-Performing Teams – Recruit, develop, and motivate distributed teams across onshore, nearshore, and offshore locations; foster collaboration and psychological safety., • Demonstrate Strategic & Adaptive Leadership – Balance agile speed with governance rigor, thrive in ambiguity, resolve conflicts pragmatically, and maintain resilience under pressure., • Generative AI - have a strong understanding of the use of Gen-AI across the SDLC. Experience & Qualifications • 15+ years leading large-scale insurance transformations, • 10+ years in program leadership for core platform implementations., • Proven delivery across multi-state regulatory contexts and multi-vendor ecosystems., • Hands-on experience with Guidewire / Duck Creek / Majesco, scaled agile (SAFe), DevSecOps, and data migration at scale., • Track record in financial stewardship (EVM, ETC/FTC, cost-of-delay) and estimation frameworks listed above., • Bachelors in Business/Technology (Master’s preferred)., • Preferred Certifications - PMP or PgMP, SAFe SPC/RTE, CSM/PSM, ITIL, AWS/Azure/Google (Architect/Cloud), Lean Six Sigma (for process). Benefits This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Home Office model, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally known group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • *Note: Benefits differ based on employee level About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2024.

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

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 _.

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!

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.

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 . _

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

Outtake exists to empower and facilitate trust for a digital-first world. Today, impersonation, fraud, AI-driven scams, and identity abuse spread faster than any security team can respond to. So we built something different: an agentic AI platform that proactively detects, monitors and takes down impersonators and automates protection in hours, not weeks. Built by ex-Palantir, ex-CTO/founders, and ex-Notion engineers, Outtake is designed for clarity, autonomy, and velocity. Our goal is ambitious: become the trust layer of the modern internet. And we intend to do it with a lean, dense, exceptionally talented team. Engineering at Outtake is built on ownership, clarity, and end-to-end impact. We hire entrepreneurial engineers who think in systems, not tickets. Our teams are flat and autonomous: engineers ship fast, make product decisions, and own outcomes from concept to deployment. We optimize for grit + velocity, which means every engineer operates with the scope, influence, and equity of a future CTO. Own the security posture of our cloud infrastructure: AWS, EKS, Vercel, Supabase Build our detection and response capabilities for capable incident response Design and operate our secrets, credential, and access management architecture across our services Partner with engineering on secure-by-default patterns: IAM, network segmentation, privilege, and access control. Help shape our agentic AI security posture as the platform evolves 3+ years in infrastructure security, security operations, or platform engineering with strong security ownership Hands-on Kubernetes security: RBAC, network policies, admission control, secrets handling Experience architecting effective precise D&R SIEM/SOAR systems Comfort writing and shipping code in your language of choice Real incident response experience as an IC, including communicating with non-security stakeholders under pressure Pragmatism about the tradeoffs between security, velocity, and developer experience at an early-stage company Background defending or attacking AI/ML systems and agent infrastructure Endpoint security operations (EDR/MDR) You've been the security person at a small company before and know how the function evolves Outtake is backed by top-tier investors and operators who believe in our mission and our model: a lean, dense, exceptionally talented team building a category-defining product. With strong financial footing and a long runway, we prioritize creating an environment where people can do the best work of their careers. Office: We are an in-person team (5 days a week, with flexibility as needed) working out of a stunning waterfront office in Brooklyn. Collaboration, speed, and clarity matter. Health: 100% company-paid medical, dental, and vision for employees. Time Away: Flexible PTO. We trust adults to manage energy, not clock time. Culture & Team: Annual company retreats and regular in-person events.

StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. Join StubHub's Edge Services team as a Software/Security Engineer and help shape the global infrastructure that keeps millions of fans connected, secure, and engaged—right at the edge. You'll work on state of the art CDN architecture, advanced bot mitigation, and real-time fraud defenses, collaborating with top-tier security and platform teams to drive innovation at massive scale. This is your chance to build resilient, high-performance systems that directly power one of the largest live event marketplaces in the world. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA or Aliso Viejo, CA About the team: The Edge Services team at StubHub owns the platform that powers our global content delivery and edge security posture. The team is responsible for CDN infrastructure, bot management, DNS, and traffic-layer protections that help keep our customers safe and our site performant. The team treats edge infrastructure like a product—standardizing interfaces, applying zero-trust principles to edge security, and building scalable tooling to enable internal teams. The team collaborates closely with Security Engineering, SRE, and product development teams to provide best in class availability, reliability & security of StubHub’s edge-services. What You’ll Do: • Design, implement, and operate CDN infrastructure using AWS CloudFront, Global Accelerator, bot management, and related services., • Develop scalable systems for detecting and mitigating malicious automated traffic, using both commercial bot management platforms and homegrown controls., • Codify reusable Infrastructure as Code (IaC) modules to enable other teams to deploy edge services safely and consistently., • Integrate with fraud detection pipelines to inform real-time blocking or scoring decisions at the edge., • Collaborate with security and platform teams to enforce zero-trust controls, request validation, and origin shielding., • Integrate CDN & bot management application coverage into existing developer platform software & automation products., • Drive edge observability strategy using metrics, traces, and logs to detect anomalies and optimize performance., • Evaluate and implement new technologies (e.g., edge compute, rate limiting frameworks, multi-CDN failover strategies)., • Participate in incident response and root cause analysis for edge service outages or abuse-related escalations. What You’ve Done: • Expert level experience with AWS edge and networking services (CloudFront, WAF, Route53, Shield, Global Accelerator)., • Expert level proficiency with Terraform and infrastructure-as-code patterns in production., • Deep experience implementing or operating enterprise-grade bot management platforms (e.g., HUMAN, AWS Bot Control, Cloudflare Bot Management, Akamai Bot Manager)., • Advanced knowledge of HTTP protocol, CDN caching strategies, edge compute functions (e.g., Lambda@Edge), and TLS management., • Strong software development experience in a modern language (e.g., Python, Go, TypeScript, Java)., • Track record of building safe, observable, and performant infrastructure at scale., • Familiarity with building and scaling fraud prevention systems or integrating with fraud intelligence platforms is a plus. Preferred Skills and Qualifications: • Experience authoring real-time request evaluation logic at the edge., • Familiarity with HTTP/2, QUIC, and emerging transport protocols for low-latency content delivery., • Familiarity with custom device fingerprinting, rate limiting, and CAPTCHA challenge orchestration., • Experience supporting traffic segmentation, geo-steering, or multi-CDN architecture., • Background in high-scale event collection and processing for edge analytics., • Proficiency in implementing defense-in-depth mechanisms for Layer 7 attacks., • Proficiency in building distributed rate-limiting or request scoring systems., • Familiarity with principles of secure system design and zero-trust architectures., • Contributions to open-source projects in the edge, networking, or observability space. What We Offer: • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range $200,000 - $250,000 USD About Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found _ We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Outtake exists to empower and facilitate trust for a digital-first world. Today, impersonation, fraud, AI-driven scams, and identity abuse spread faster than any security team can respond to. So we built something different: an agentic AI platform that proactively detects, monitors and takes down impersonators and automates protection in hours, not weeks. Built by ex-Palantir, ex-CTO/founders, and ex-Notion engineers, Outtake is designed for clarity, autonomy, and velocity. Our goal is ambitious: become the trust layer of the modern internet. And we intend to do it with a lean, dense, exceptionally talented team. This is a product engineering role in the strongest sense of the term. You work close to customers. We believe customer proximity is a competitive advantage. Engineers talk directly to customers, join calls, and participate in tight feedback loops. Forward-deployed work is part of the job - not as support, but as the fastest path to product insight. You shape what we build. Engineers here don't wait for fully formed specs. If you see a problem worth solving, you're expected to make the case, design the experiment, and build the v0. Good product judgment is valued as highly as clean execution. You ship across the stack. You'll work wherever the problem is - backend systems processing TBs of internet-scale data, frontend workflows that make complex analysis feel intuitive, agent frameworks that automate what used to take weeks of manual work. Titles matter less than ownership. You operate with clarity and focus. Mondays we align. Fridays we retro. In between, you're trusted to prioritize what matters most - while staying sharp to signal from customers and the market. "The team you build is the company you build." — Vinod Khosla You'll work alongside engineers from Palantir, Notion, Meta, Microsoft, Slack, and Datadog. Several have founded startups. But credentials aren't the point. This team cares deeply about craft, slope, and truth-seeking. People pair on hard problems, challenge each other in code review, and give direct, thoughtful feedback in 1:1s. Mentorship is intentional, not accidental - you'll learn faster here because the bar is high and the coaching is real. We're building Outtake to be a long-term network of builders: people who go on to lead teams, start companies, and back each other over decades. The goal is simple - working here should make you meaningfully better. This role tends to excite people who've built something from scratch and want to do it again - with better tools, sharper teammates, and real distribution. You might be a fit if: You've shipped products that users actually used - and at least one that failed, and you understand why that mattered You ramp quickly, thrive in ambiguity, and have a strong bias to action You care deeply about why something is being built, not just how You understand what success looks like for the customer and the business, not just the code You've done some form of forward-deployed or customer-embedded engineering and found it energizing If you need a roadmap handed to you, this won't be a fit. If you want to help write the roadmap, you'll feel at home. Bonus if you've: Founded something (even if it didn't work) Worked in forward-deployed or customer-embedded roles Built with agents, LLMs, or large-scale data systems What will you have shipped by month 6 that customers are asking about by name? The engineers who thrive here tend to find a problem early - something they heard on a customer call, noticed in the data, or couldn't stop thinking about - and make it theirs. Within a few months, they've built something real: a detection capability that catches what we were missing, a workflow that cuts hours of manual work, a system that makes the next ten features possible. By month 12, you're not waiting for direction. You're the person others come to for a specific problem space. Customers know your work. Teammates trust your judgment. And you've shaped what Outtake builds next. If you're choosing between us and another AI startup: Foundation models are infrastructure. We're building what people actually use to stay safe. The impact is immediate and real - attacks stopped, fraud prevented, threats caught that humans miss. The company is working: real customers, real revenue, real momentum. The people are exceptional - not just in pedigree, but in how they think and build. The network compounds: your teammates become future founders, collaborators, and references. The upside is meaningful. Equity reflects impact, not title. Outtake is backed by top-tier investors and operators who believe in our mission and our model: a lean, dense, exceptionally talented team building a category-defining product. With strong financial footing and a long runway, we prioritize creating an environment where people can do the best work of their careers. Office: We are an in-person team (5 days a week, with flexibility as needed) working out of a stunning waterfront office in Brooklyn. Collaboration, speed, and clarity matter. Health: 100% company-paid medical, dental, and vision for employees. Time Away: Flexible PTO. We trust adults to manage energy, not clock time. Culture & Team: Annual company retreats and regular in-person events.

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.

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.

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.

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