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We're expanding across Mexico, Brazil, Argentina, Colombia, Chile , and Peru , and we're looking for an experienced Clinical Data Manager to help build the foundation of our growing LATAM Data Management team, ensuring the delivery of high-quality clinical data that drives successful clinical trials and accelerates innovative therapies to patients. Position Summary: The Senior Clinical Data Manager/Principal Clinical Data Manager is responsible and manages all aspects of the clinical trial data management process from study start up to post database lock for assigned projects. Standard Operating Procedures / Work Instructions (SOPs/WIs); regulatory directives; study specific plans and guidelines will be followed. This position will also oversee and/or perform database development and testing. Essential functions of the job include but are not limited to: Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) / program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner. May support another Lead DM as a back-up and/or team member. May include DM oversight of sponsor programs. Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing May perform quality control of data entry Provide input, assesses and manage timelines. Ensure that clinical data management deadlines are met with quality. Assess resource needs for assigned projects, as needed. Develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders May assist in building clinical databases Conduct database build UAT and maintain quality controlled database build documentation. Oversee overall quality of the clinical database. May specify requirements for all edit check types e.g. electronic, manual data review, edit checks, etc. Oversee development of the edit check specifications and manual data review specifications Responsible for creating, revising, appropriate versioning and maintaining data management documentation. Oversee completeness of data management documentation for the Trial Master File. Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed. Review and query clinical trial data according to the Data Management Plan Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM Run patient and study level status and metric reporting Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency Coordinate SAE/AE reconciliation Liaises with third-party vendors such as external data and EDC vendors in a project-manager capacity in support of timelines and data-related deliverables May assist with SAS programming and quality control of SAS programs used in the Data Management department Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project Participate in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities May attend strategy meetings, bid defense prep meetings, bid defenses, capability presentations, potential client engagement meetings May review Request for Proposals (RFP), proposals, provide project estimates Provide leadership for cross-functional and organization-wide initiatives, where applicable Trains and ensures that all data management project team members have been sufficiently trained Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues May present software demonstrations/trainings, department/company training sessions, present at project meetings May require some travel Perform other duties as assigned Qualifications: Minimum Required: Bachelors and/or a combination of related experience Other Required: 8+ years' experience for a Sr. Clinical Data Manager and 10+ years for a Principal Clinical Data Manager Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook Able to handle a variety of clinical research tasks Excellent organizational and communication skills Professional use of the English language; both written and oral Experience in utilizing various clinical database management systems Broad knowledge of drug, device and/or biologic development and effective data management practices Strong representational skills, ability to communicate effectively orally and in writing Strong leadership and interpersonal skills Ability to undertake occasional travel Preferred: Experience in a clinical, scientific or healthcare discipline Dictionary medical coding (MedDRA and WHODrug) Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.…) Oncology and/or Orphan Drug therapeutic experience #LI-REMOTE Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice . Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com . Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action. Candidates must be legally authorized to work in the country of employment without employer sponsorship.

About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses 'go beyond'. The word 'Pleo' actually means 'more than you'd expect', and living by that mantra has been the secret to our success over the last 10 years. Now, we're at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can't say we've got this whole thing figured out. And frankly, that's half the fun! What we can say is that we're a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. About the role Pleo's Intelligence function covers the full analytical picture - product behaviour, GTM performance, commercial data science, financial reporting, and operational intelligence. The Analytics Engineers who serve these teams own the data modelling layer that all of it runs on: dbt models, metric definitions, and semantic layer contributions that analysts, product teams, and AI tools depend on to get consistent, trustworthy answers. You'll be embedded in the Product Intelligence team, building the tracking, experimentation, and data modelling foundations that make product data trustworthy and self-serve. You'll join a close-knit team actively migrating our analytics stack onto a new Analytics Warehouse and Omni, moving off legacy tools like Looker and Hippocampus. If you want to build the infrastructure that other people's product decisions run on rather than just report on what exists, this is the opportunity for you. Who you'll work with and reporting to You will report to an Analytics Manager leading Product Intelligence and Growth Intelligence. You'll partner closely with Product Managers, Product Analysts, and Engineering to get tracking, experimentation, and metric definitions right from the ground up. You'll also engage with the broader Analytics Engineering community across Pleo to drive shared standards, especially around the semantic layer that keeps metrics consistent across the organization. What you'll be doing Build and maintain dbt models in our new Analytics Warehouse, using a clean, layered architecture and migrating logic off legacy tools as you go. Own tracking plan implementation and QA directly in Segment and Amplitude in close partnership with Product and Engineering. Support experimentation by modelling assignment and outcome data into structured formats that analysts and PMs can query directly. Define and document metrics in our semantic layer, ensuring a single authoritative definition so downstream BI tools and AI applications yield consistent answers. Apply AI-augmented data modelling practices as a standard part of how you write, review, and migrate code. Partner with Product Managers and Analysts to turn one-off questions into durable, reusable data models. Maintain data quality in your domain through dbt tests, freshness SLAs, and proactive monitoring. What you bring Solid SQL and dbt experience, with a clear comfort owning models end to end. Working knowledge of event-based tracking tools like Segment or Amplitude. Experience with Git-based development workflows, including opening and reviewing pull requests. Clear communication skills to explain data definitions and structures to both technical and non-technical stakeholders. Genuine day-to-day use of AI tooling as part of your standard coding and workflow routine. Comfort navigating ambiguity and untangling legacy logic to build modern foundations. This role is NOT a good fit if You only want to write dashboards without touching or owning the underlying data models. You require rigid processes and heavy upfront structure before taking initiative. You prefer to avoid data migration, cleanup work, and legacy system refactoring. Your first 6 months Ramp up: Master our dbt project structure, tracking plans, and migration roadmap while shipping small, reviewed code changes early on. Take ownership: Own a dedicated slice of the migration, such as an event domain or our core experimentation data models. Drive consistency: Establish semantic layer definitions for your domain so analysts and PMs can self-serve accurate metrics without custom workarounds. Our tech stack context Data warehouse: GCP / BigQuery (new Analytics Warehouse) Transformation: dbt Orchestration: Airflow Tracking and Oroduct Analytics: Segment, Amplitude BI and Analytics: Omni (migrating off legacy Looker and Hippocampus) Languages: SQL Show me the benefits! Your own Pleo card (no more out-of-pocket spending!) Lunch is on us for your work days—enjoy catered meals or receive a lunch allowance based on your local office. Comprehensive private healthcare depending on your location (coverage options include Vitality, Alan, or Médis). 25 days of annual holiday plus public holidays, with the option to purchase 5 additional days through salary sacrifice. Flexible working options supporting both hybrid and fully remote setups. Free mental health and well-being support through MyndUp. Generous paid parental leave policies to support growing families. The interview process Intro Call: 30 minutes with our Talent Partner SQL Test: Completed via CoderPad Hiring Manager Interview: 45 minutes with our Data & Analytics Manager Team Interview & Live Case: Data modelling case via CodeSignal Final Interview: 30 minutes with our VP of Data & AI Transparency is important to us so we also wanted to share some insights about what we're looking for in applications to ensure you can set yourself up for success! Last time we hired an Analytics Engineer, we received a total of 173 applications but only 10 were selected for an intro call. Some of the key reasons why previous candidates didn't make it past the application screening stage include: CV writing and content: it was very clear that many of the CVs we saw were very generic and AI generated. There is no issue with leveraging AI to help with CV writing, there was little indication of what real impact the candidates had in their previous experience. You might have heard of the "Achieved X, as measured by Y, by doing Z" formula (credit Laszlo Bock ~2014), this is a great way to give a clear picture of what you have actually worked on. Some link or quick description of the companies you've worked with is also a great help. Application care: every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process. Profile to role fit: there was misunderstanding about the type of experience we expect from an Analytics Engineer and we received many applications from candidates who had never been exposed to a product-led environment or had been exclusively focused on SQL/dbt work when we're looking for both technical and stakeholders management and team collaboration experience. To be perfectly clear, this is NOT a Data Engineer role or a Data Analyst role! This is a heavily-driven dbt modelling role, experience in this area is critical. We've taken great care in writing this role description to reflect the reality of the job as best as possible, please ensure you read it carefully and highlight on your CV the experience relevant to what we are looking for. About your application English first. Since it's our company language, please submit your application in English. You'll be using it a lot if you join us. A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can't pass on calls or emails. Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us. Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We'll design a process that works for you. Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy here . Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role. Reapplying. If you're applying for the same role again, please wait six months from your last decision before hitting submit.

About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses 'go beyond'. The word 'Pleo' actually means 'more than you'd expect', and living by that mantra has been the secret to our success over the last 10 years. Now, we're at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can't say we've got this whole thing figured out. And frankly, that's half the fun! What we can say is that we're a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. About the role We are looking for a Fraud Analyst to join Pleo's Decision Intelligence team and help strengthen how we detect, prevent, monitor, and respond to fraud risk across our financial crime decisioning setup. This is not a traditional Fraud Operations case-handling role. You will work closer to the decisioning layer: helping translate fraud patterns into rules, monitoring rule performance, supporting rule testing, reviewing alert behaviour, and making sure fraud controls remain effective, explainable, and proportionate. You will join at an important stage as Pleo continues to mature its fraud and AML decisioning capability. The right person will help improve speed, resilience, and quality in how we create, test, deploy, monitor, and tune fraud rules. What you'll be doing You will help operate and improve Pleo's fraud decisioning capability, with a focus on card fraud and related financial crime risk scenarios. Your responsibilities will include: Supporting the end-to-end fraud rule lifecycle: from rule proposal and analysis through testing, deployment, monitoring, tuning, and rollback. Working directly in, or closely with, decisioning tools and rule engines to support fraud detection logic. Analysing fraud patterns, alert trends, false positives, false negatives, and rule performance. Translating FraudOps insights and stakeholder requests into clear, structured rule proposals. Helping assess whether new rules or threshold changes are justified by data. Monitoring post-deployment rule performance and identifying when rules need adjustment. Supporting daily operational requests related to fraud controls, while ensuring changes are traceable and well documented. Partnering with FraudOps, AML, Product, Engineering, Data, Compliance, and Legal to make sure decisioning changes are aligned and risk-aware. Maintaining clear documentation for fraud rules, rationale, expected impact, testing outcomes, and monitoring results. Helping reduce single points of failure by building repeatable processes and stronger business continuity around fraud decisioning. What we're looking for We are looking for someone who combines fraud domain knowledge with practical experience working in a decisioning environment. You should have: Experience as a Fraud Analyst, Risk Analyst, Fraud Strategy Analyst, Fraud Rules Analyst, Decisioning Analyst, or similar. Hands-on experience with a decisioning tool, fraud rules engine, risk platform, or internal decisioning system. Experience creating, testing, monitoring, or tuning fraud rules, thresholds, scenarios, or risk logic. Strong analytical skills and comfort working with data to assess rule performance and fraud patterns. Good understanding of fraud typologies, especially card fraud, transaction fraud, account misuse, or payment fraud. Ability to balance fraud prevention with customer impact and operational workload. Experience working with false positives and understanding that good fraud controls require continuous monitoring and tuning. Strong written communication skills, with the ability to explain rule logic, rationale, risks, and expected outcomes clearly. Comfort working cross-functionally with FraudOps, Product, Engineering, Compliance, and Data teams. A structured mindset and appreciation for documentation, traceability, governance, and change control. Fintech, banking, payments, spend management, or regulated financial services. SQL or basic data analysis. What success looks like In your first 3 months, success would look like: You understand Pleo's fraud decisioning setup and can confidently support day-to-day rule operations. Fraud rule requests are better structured, documented, and traceable. Rule changes are supported by data, clear rationale, and expected impact. Post-deployment monitoring is more consistent and visible. FraudOps and DI have a stronger operating rhythm for proposing, reviewing, deploying, and tuning fraud controls. Why join us? This is a rare opportunity to help shape a growing decisioning function from the inside. You will not just be reviewing fraud alerts, you will help define how fraud detection logic is built, governed, monitored, and improved. You will join a team that is building the foundations for more scalable, data-driven, and resilient financial crime decisioning. If you enjoy working at the intersection of fraud strategy, operations, data, systems, and product, this role will give you real ownership and impact. Apply if this sounds like you You are analytical, structured, curious, and comfortable challenging assumptions. You know that fraud rules are never "set and forget." You understand the importance of balancing risk reduction, customer experience, operational workload, and governance. Most importantly, you have worked with decisioning tools or rule-based risk systems before and want to help build a stronger fraud decisioning capability at scale. The location Please note: We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work . We are unable to offer visa sponsorship for this role in any of the listed locations. Show me the benefits! Your own Pleo card (no more out-of-pocket spending!) Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis We offer 25 days of holiday + your public holidays For our Team, we offer both hybrid and fully remote working options We use MyndUp to give our employees access to free mental health and well-being support with great success so far Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work About your application English first. Since it's our company language, please submit your application in English. You'll be using it a lot if you join us. A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can't pass on calls or emails. Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us. Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility requirements or need a specific format, email belonging@pleo.io. We'll design a process that works for you. Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy here . Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role. Reapplying. If you're applying for the same role again, please wait six months from your last decision before hitting submit.

The Role We are looking for a Director, Programmatic to oversee day-to-day operations and manage the programmatic buying division of multiple B2B clients! This role begins as an individual contributor with the opportunity to build and scale a team over time. You'll help define the vision, structure, and best practices for a growing B2B programmatic group as new clients and business needs expand. You'll install best-in-class operational practices tailored to B2B buying cycles, enterprise-level audience segmentation, and multi-stakeholder decision journeys. You'll also contribute to business development efforts, helping win new B2B clients through thought leadership and pitch participation. The Director is expected to be pivotal in the onboarding of new advertisers and recovering good standing with difficult accounts. The role includes internal and external Programmatic education on Capabilities and New Ad Tech Tools. You'll be responsible for owning the business relationship with your client(s), agency, and team, in addition to ensuring the successful delivery of programmatic campaigns. In the role, you will be fostering strong relationships with respective digital agency counterparts, clients and external partners. In addition, you will be expected to be the team's source of expertise and point of escalation for all aspects of a campaign's execution including implementation, optimization and inventory and audience strategy. At Wpromote , we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek's Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what's possible in marketing. We offer: -Remote-first culture -Unlimited PTO -Extended Holiday break (Winter) -Flexible schedules -Work from anywhere options -100% paid parental leave -401(k) matching -Medical, Dental, Vision, Life, Pet Insurance -Sponsored life insurance -Short Term Disability insurance and additional voluntary insurance -Annual Class Pass credits and more! The anticipated annual salary for this role will range from $119,000-$135,000, based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state's salary threshold for exempt employees. At Wpromote, pay ranges are subject to change and are based on specific market medians for similar jobs according to third-party salary benchmark surveys. Individual pay within that range can vary due to skills, experience, and available budget. The total compensation package for this role will include benefits (listed above) and an annual performance bonus. This role has an associated annual target bonus component which is paid out based on a number of factors which include Company performance, department performance, and individual performance. Bonuses are not guaranteed and you must be an active employee in good standing and not on a Performance Improvement Plan to be eligible for the annual bonus. This position may be performed remotely in most states within the US, with some exclusions While this role offers the flexibility to work remotely, we have office hubs in Los Angeles and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person! This position is not eligible for immigration sponsorship Important Notice: Beware of Job Scams Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers , it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity. #LI-CK #LI-Remote You Will Be Leading B2B programmatic strategy development, aligning audience, messaging, and media delivery to client business objectives such as lead quality, account penetration, and sales velocity. Partnering with analytics and strategy teams to connect programmatic impact to CRM and pipeline metrics (MQLs, SQLs, pipeline velocity, ROI). Overseeing campaign management and optimization across display, video, native, and ABM-driven programmatic executions. Managing a team (typically 2 or more) with responsibility for workload prioritization, professional development, and operational excellence. Establishing scalable best practices for B2B audience segmentation, firmographic and technographic targeting, and multi-touch attribution. Owning relationships with key B2B data and tech partners (Bombora, 6sense, LiveRamp, LinkedIn, Demandbase, etc.), evaluating and integrating new solutions. Contributing to new business efforts - crafting compelling programmatic POVs, pricing models, and case studies that illustrate B2B growth outcomes. Guiding cross-channel collaboration with paid social, search, and content teams to create cohesive, full-funnel demand generation programs. Providing thought leadership on emerging programmatic trends, privacy developments, and audience strategies relevant to B2B advertisers. Ensuring financial discipline through accurate budgeting, pacing, forecasting, and quarterly business reviews for client accounts. Serving as an escalation point for performance, strategy, or client relationship issues - balancing strategic counsel with practical, data-driven solutions. Representing the agency externally at B2B-focused industry events, conferences, and with tech partners. You Must Have 6+ years of hands-on experience managing programmatic campaigns, ideally with a focus on B2B or enterprise clients in an agency, DSP, or platform environment. Deep understanding of B2B buying journeys, including account-based marketing, lead scoring, and funnel-stage optimization. Advanced expertise with DSPs (TTD, DV360, StackAdapt, etc.), data management platforms, and CRM integrations for audience activation. Proven experience tying programmatic metrics to business outcomes (MQL → SQL → Opportunity → Revenue). Analytical fluency in using GA4, Salesforce, HubSpot, and other attribution or marketing automation platforms. Executive-ready communication skills, capable of distilling technical programmatic details into actionable business insights. Ability to collaborate across disciplines—creative, media, strategy, and analytics—to deliver integrated B2B demand programs. Innate curiosity and a forward-looking perspective on evolving B2B ad tech, data privacy, and audience intelligence trends. Compensation Additional Information Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

Who we are: At Rover, pets and their people are at the heart of everything we do. We connect pet parents with trusted pet care across the U.S., Canada, Europe, and Australia. Headquartered in Seattle and Barcelona, we're a values driven, fast-growing tech company focused on building safe and personalized experiences tailored to the needs of each unique pet. We're investing in AI as a business accelerator and provide every team member access to AI tools in service of creating better experiences for our community. We are proud to be recognized as a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington's Best Workplaces in the Puget Sound Business Journal. At Rover we're committed to creating an accessible, inclusive, and welcoming community, which starts with our employees. Want to make an impact? Join our pack and come work (and play!) with us. We are hiring a Lead Product Manager to join our Barcelona-based product team focused on accelerating the growth of our international markets. At Rover, the product team is relied on to drive the business forward. We work as truly empowered product teams; no top-down roadmaps or Executive feature requests here. You will be joining the Bookings group, focused on making it as easy as possible for pet parents to connect with a sitter and book care for their pet, and with a particular focus on growing Rover outside of North America. This is a high-impact, high-visibility role for a senior candidate that is not afraid to rock the boat. This role is about experimenting with dramatic product or business model changes, not minor optimisations. This is a hybrid position that has the minimum expectation to work out of our Barcelona Office in the Poblenou neighborhood two days per week on Mondays and Thursdays. For this reason, candidates must be based in Barcelona or willing to relocate. 8+ years of Product Management experience A demonstrated obsession with driving business impact through improved user experience Strong analytical skills, particularly proficiency in Excel/Google Sheets and common analytics tools (we use Amplitude and Mode). Even better: you are comfortable writing SQL You have developed and executed your roadmaps in alignment with the team charter and company goals You partner closely with Design and Engineering to deliver exceptional product experiences Experience consuming and understanding customer feedback via qualitative and quantitative sources You have built true "zero to one" experiences in a scaled organisation. If you've launched new markets, products, or business lines, we want to speak to you. You care about driving business impact via improved customer experiences You can analyse data and present a compelling story, and you've been responsible for running dozens of experiments You never hesitate to roll up your sleeves and get your hands dirty. When others fall away, you persevere You have a very strong bias toward ac

Veeva is building the industry cloud for Life Sciences through software, data, AI, and business consulting working together. Learn more about our products, vision, values, and status as a Public Benefit Corporation (PBC) on our website. Consulting is changing, and we're not like other firms. Launched in 2019, Veeva Business Consulting has grown quickly and organically to over 500 global experts who combine deep domain knowledge with innovative technology to help Life Sciences companies work in a more efficient and connected way. We are growing aggressively as we look towards 2030. We are seeking great people to help shape the future of the industry with the world's leading software, data, AI, and expertise at their back. The Role The Global Analytics Business Consulting Team applies data science and AI to help customers turn commercial, medical, and regulatory data into action. We are seeking a Global Data Science Lead that will support execution of the Data Science AI strategy within this team. This role will lead a group of data scientists, AI/ML engineers, and analysts, and partners with Global Analytics leadership to turn strategy into delivery — applying advanced analytics, machine learning, and generative AI/LLM techniques to life sciences data. Lead the Data Science function within the Global Analytics Team, in line with Veeva's Analytics Business Consulting goals Lead, mentor, and inspire a team of data scientists, AI/ML engineers, and analysts within the Global Analytics Team Partner with Global Analytics leadership to translate the broader Data Science AI strategy into team priorities and delivery plans Own global methodology – model management, observability, testing, and deployment Foster collaboration between consulting, data science, and engineering teams to ensure seamless integration of AI-driven data solutions Oversee the design and implementation of advanced analytics, machine learning, and generative AI/LLM models within the Global Analytics Team's scope of work Ensure the development and maintenance of robust, scalable, and efficient data and AI infrastructure supporting Global Analytics Team deliverables Collaborate with cross-functional consulting teams to understand customer business requirements and translate them into AI-native, data-driven solutions Work with product and business stakeholders to surface opportunities for applying AI within Global Analytics Team engagements Enforce best practices for data quality, security, governance, and responsible AI use within the team Implement and maintain rigorous testing procedures to validate the accuracy and reliability of data, ML, and AI models Ph.D. in Economics, Machine Learning, Applied Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or other quantitative discipline with 5+ years of relevant industry experience, or equivalent M.S. with 8+ years of relevant demonstrable research experience Experience with the Life Sciences industry and applying anal

Veeva is building the industry cloud for Life Sciences through software, data, AI, and business consulting working together. Learn more about our products, vision, values, and status as a Public Benefit Corporation (PBC) on our website. Consulting is changing, and we're not like other firms. Launched in 2019, Veeva Business Consulting has grown quickly and organically to over 500 global experts who combine deep domain knowledge with innovative technology to help Life Sciences companies work in a more efficient and connected way. We are growing aggressively as we look towards 2030. We are seeking great people to help shape the future of the industry with the world's leading software, data, AI, and expertise at their back. The Role The Global Analytics Business Consulting Team applies data science and AI to help customers turn commercial, medical, and regulatory data into action. We are seeking a Global Data Science Lead that will support execution of the Data Science AI strategy within this team. This role will lead a group of data scientists, AI/ML engineers, and analysts, and partners with Global Analytics leadership to turn strategy into delivery — applying advanced analytics, machine learning, and generative AI/LLM techniques to life sciences data. Lead the Data Science function within the Global Analytics Team, in line with Veeva's Analytics Business Consulting goals Lead, mentor, and inspire a team of data scientists, AI/ML engineers, and analysts within the Global Analytics Team Partner with Global Analytics leadership to translate the broader Data Science AI strategy into team priorities and delivery plans Own global methodology – model management, observability, testing, and deployment Foster collaboration between consulting, data science, and engineering teams to ensure seamless integration of AI-driven data solutions Oversee the design and implementation of advanced analytics, machine learning, and generative AI/LLM models within the Global Analytics Team's scope of work Ensure the development and maintenance of robust, scalable, and efficient data and AI infrastructure supporting Global Analytics Team deliverables Collaborate with cross-functional consulting teams to understand customer business requirements and translate them into AI-native, data-driven solutions Work with product and business stakeholders to surface opportunities for applying AI within Global Analytics Team engagements Enforce best practices for data quality, security, governance, and responsible AI use within the team Implement and maintain rigorous testing procedures to validate the accuracy and reliability of data, ML, and AI models Ph.D. in Economics, Machine Learning, Applied Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or other quantitative discipline with 5+ years of relevant industry experience, or equivalent M.S. with 8+ years of relevant demonstrable research experience Experience with the Life Sciences industry and applying anal

Hi, we're Oscar. We're hiring a Senior Analyst, Actuarial - Reserving to join our Actuarial 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: The Senior Analyst, Actuarial supports Oscar's Valuation processes for a number of Affordable Care Act (ACA) markets. You will be responsible for establishing Incurred but not Reported (IBNR) projections and risk adjustment accruals, and investigating actual performance trends that will inform budget planning, pricing, and company strategies. This position is eligible for the department's rotational program. You will report into the Manager, Actuarial. Work Location: This is a remote position, open to candidates who reside in: Dallas, TX. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $91,660 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: Establishes and communicates the accruals for the monthly close process related to Incurred but not Reported (IBNR) claims, Risk adjustment and/or Shared Savings deals.  Leverages SQL and Python to expand existing frameworks, driving new insights and resources for other Actuarial teams. Key contributor in reviewing and submitting regulatory filings. Investigates the core drivers of observed trends and provides meaningful information for consideration in the financial planning process. Promote and shape Oscar actuarial best practices with respect to automation and documentation.  Maintain strong relationships, rapport, and lines of communication with both internal and external stakeholders. Aid in the onboarding of analysts by collaborating and integrating them into existing processes. Compliance with all applicable laws and regulations. Other duties as assigned. Requirements: Bachelor's degree in a STEM field. Associate or Fellow of the Society of Actuaries (SOA), or on the track to become one. 3+ years of experience in a related field.   This is an authentic Oscar Health job opportunity. 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 .

Hi, we're Oscar. We're hiring a Senior Analyst, Actuarial - Reserving to join our Actuarial 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: The Senior Analyst, Actuarial supports Oscar's Valuation processes for a number of Affordable Care Act (ACA) markets. You will be responsible for establishing Incurred but not Reported (IBNR) projections and risk adjustment accruals, and investigating actual performance trends that will inform budget planning, pricing, and company strategies. This position is eligible for the department's rotational program. You will report into the Manager, Actuarial. 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: $91,660 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: Establishes and communicates the accruals for the monthly close process related to Incurred but not Reported (IBNR) claims, Risk adjustment and/or Shared Savings deals.  Leverages SQL and Python to expand existing frameworks, driving new insights and resources for other Actuarial teams. Key contributor in reviewing and submitting regulatory filings. Investigates the core drivers of observed trends and provides meaningful information for consideration in the financial planning process. Promote and shape Oscar actuarial best practices with respect to automation and documentation.  Maintain strong relationships, rapport, and lines of communication with both internal and external stakeholders. Aid in the onboarding of analysts by collaborating and integrating them into existing processes. Compliance with all applicable laws and regulations. Other duties as assigned. Requirements: Bachelor's degree in a STEM field. Associate or Fellow of the Society of Actuaries (SOA), or on the track to become one. 3+ years of experience in a related field.   This is an authentic Oscar Health job opportunity. 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 .

Hi, we're Oscar. We're hiring a Senior Analyst, Actuarial - Reserving to join our Actuarial 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: The Senior Analyst, Actuarial supports Oscar's Valuation processes for a number of Affordable Care Act (ACA) markets. You will be responsible for establishing Incurred but not Reported (IBNR) projections and risk adjustment accruals, and investigating actual performance trends that will inform budget planning, pricing, and company strategies. This position is eligible for the department's rotational program. You will report into the Manager, Actuarial. 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: $101,844 - $133,670 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: Establishes and communicates the accruals for the monthly close process related to Incurred but not Reported (IBNR) claims, Risk adjustment and/or Shared Savings deals.  Leverages SQL and Python to expand existing frameworks, driving new insights and resources for other Actuarial teams. Key contributor in reviewing and submitting regulatory filings. Investigates the core drivers of observed trends and provides meaningful information for consideration in the financial planning process. Promote and shape Oscar actuarial best practices with respect to automation and documentation.  Maintain strong relationships, rapport, and lines of communication with both internal and external stakeholders. Aid in the onboarding of analysts by collaborating and integrating them into existing processes. Compliance with all applicable laws and regulations. Other duties as assigned. Requirements: Bachelor's degree in a STEM field. Associate or Fellow of the Society of Actuaries (SOA), or on the track to become one. 3+ years of experience in a related field.   This is an authentic Oscar Health job opportunity. 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 .

Hi, we're Oscar. We're hiring a Senior Analyst, Actuarial - Reserving to join our Actuarial 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: The Senior Analyst, Actuarial supports Oscar's Valuation processes for a number of Affordable Care Act (ACA) markets. You will be responsible for establishing Incurred but not Reported (IBNR) projections and risk adjustment accruals, and investigating actual performance trends that will inform budget planning, pricing, and company strategies. This position is eligible for the department's rotational program. You will report into the Manager, Actuarial. Work Location: This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $91,660 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: Establishes and communicates the accruals for the monthly close process related to Incurred but not Reported (IBNR) claims, Risk adjustment and/or Shared Savings deals.  Leverages SQL and Python to expand existing frameworks, driving new insights and resources for other Actuarial teams. Key contributor in reviewing and submitting regulatory filings. Investigates the core drivers of observed trends and provides meaningful information for consideration in the financial planning process. Promote and shape Oscar actuarial best practices with respect to automation and documentation.  Maintain strong relationships, rapport, and lines of communication with both internal and external stakeholders. Aid in the onboarding of analysts by collaborating and integrating them into existing processes. Compliance with all applicable laws and regulations. Other duties as assigned. Requirements: Bachelor's degree in a STEM field. Associate or Fellow of the Society of Actuaries (SOA), or on the track to become one. 3+ years of experience in a related field.   This is an authentic Oscar Health job opportunity. 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 .

Hi, we're Oscar. We're hiring a Senior Product Manager, Virtual Care 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: As a Senior Product Manager, you'll lead product development for Oscar Virtual Care (OVC), improving how members access care and how clinicians deliver it. Your work will span the experience before, during, and after a visit, from intake and scheduling to clinical documentation, treatment, and follow-up. Oscar brings together a health plan and its own care delivery organization, creating an opportunity to connect product decisions directly to the cost and quality of care. You'll work with clinical and business partners to identify where technology can help members get the care they need. This includes improving access to virtual care and health assessments, supporting effective clinical workflows, and reducing administrative work for care teams. You'll turn ambiguous problems into a clear product direction, align partners around priorities, and work with engineering, design, and data science to deliver and measure results. You will report into a Director, Product Management. 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: $163,944.00 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.   Responsibilities: Define and execute the product strategy and roadmap for Virtual Care. Prioritize investments based on their expected impact on affordability, clinical outcomes, member experience, and operating efficiency. Lead discovery with members, clinicians, and operations teams. Combine user research with data analysis to identify problems, challenge assumptions, and build a business case for product investments. Improve the member journey from finding and accessing care through the visit and follow-up. Reduce friction in intake and scheduling, improve visit completion, and help care teams share context and coordinate next steps. Build tools that help clinicians deliver high-quality care efficiently, including reviewing medical history, documenting encounters, addressing care gaps, and ordering appropriate tests and treatments. Evaluate opportunities for AI and automation to reduce administrative work while maintaining clinical quality. Define success metrics and measure the clinical, financial, and operational impact of product changes. Use findings to refine priorities and improve the experience after launch. Lead alignment across clinical, operations, engineering, design, and data science partners. Bring clear recommendations, work through competing needs and tradeoffs, and establish decisions that move the work forward. Own complex initiatives from problem definition through delivery. Write clear requirements, manage dependencies and risks, and resolve issues across teams with the autonomy expected of a Senior Product Manager. Invest in strengthening the talent on Oscar's product team, by developing more junior team members through mentorship. Compliance with all applicable laws and regulations. Other duties as assigned. Requirements: 6+ years of experience collaborating cross-functionally among engineers, designers, operations experts, and others in a Product Management or Product Management-adjacent role. 4+ years of experience in driving rigorous prioritization processes. 4+ years of experience with tech systems and understanding basic technology infrastructure such as backend services, database relationships, and leveraging database tools such as SQL. 2+ years of experience leading complex, cross-domain initiatives. 2+ years of experience root-causing ambiguous problems, building roadmaps towards a solution, and successfully executing against that roadmap. Bonus points 1+ years of experience building clinician-facing experiences.    This is an authentic Oscar Health job opportunity. 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 .