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Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Unitedstates At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats - including unstructured data - in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: Prepare accurate, timely responses to customer security, privacy, compliance, and AI governance questionnaires and inquiries. Coordinate with internal subject matter experts to validate responses and gather supporting documentation. Maintain reusable questionnaire responses and customer-facing compliance materials to improve consistency, accuracy, and turnaround time. Respond to ad-hoc customer requests for audit reports, certifications, policies, and control evidence. Escalate complex or high-risk inquiries appropriately and track trends to identify gaps in documentation or controls. Execute third-party risk assessments across the vendor lifecycle (intake, due diligence, onboarding, periodic review, offboarding). Maintain the vendor inventory and risk tiering. Support vendor risk management by conducting security and privacy assessments, reviewing vendor documentation, identifying potential risks, and tracking remediation activities with business owners. Maintain vendor assessment records and coordinate initial reviews, periodic reassessments, and follow-up activities in accordance with applicable policies and procedures. Support GDPR-related requests by gathering relevant information, maintaining request records, tracking deadlines, and coordinating responses with Legal, Privacy, and other stakeholders. Develop and maintain working knowledge of SAP’s internal privacy, vendor management, policy management, and related governance processes. Help the GRC team navigate applicable requirements, identify process owners, and coordinate required submissions and approvals. Support additional GRC activities based on team priorities, including audit preparation, evidence collection, policy reviews, risk assessments, compliance training, access reviews, and issue tracking. Maintain organized, accurate documentation; communicate progress and blockers; and identify opportunities to simplify and improve GRC processes. Communicate clearly and professionally with customers, vendors, and internal stakeholders at all levels, translating technical and regulatory requirements into plain, accurate language. Support the team where needed, including but not limited to: risk register maintenance, compliance monitoring, security awareness and training tracking, issue management, and GRC tooling administration. Skills You Must Have: Bachelor’s degree in information systems, cybersecurity, business, accounting, or a related field, or equivalent practical experience. At least two years of relevant experience in governance, risk, and compliance; information security; privacy; audit; or third-party risk management. Experience preparing customer security or compliance questionnaire responses and reviewing vendor security and privacy documentation. Working knowledge of common security and compliance frameworks and familiarity with GDPR concepts and privacy request workflows. Experience working in or supporting a cloud, enterprise software, or Software-as-a-Service (SaaS) environment, with an understanding of shared security responsibilities. Strong written and verbal communication skills, including the ability to translate technical information into clear, accurate responses for customers and internal stakeholders. Strong attention to detail, sound judgment, and the ability to manage multiple requests, meet deadlines, and follow through on outstanding items. Ability to collaborate across Security, Legal, Privacy, Product, Engineering, Sales, Procurement, and other business functions. Proficiency with documentation tools, and ticketing or workflow systems, along with the ability to learn new tools and internal processes. Skills That Are Nice to Have Prior experience within SAP or familiarity with SAP’s internal privacy, vendor management, policy management, and compliance processes. Familiarity with Master Data Management (MDM) platforms and the security and privacy considerations associated with managing enterprise data. Experience with trust centers, questionnaire management tools, Jira, ServiceNow, or Confluence. Experience supporting audits or assessments involving SOC 1, SOC 2, ISO 27001, HITRUST CSF, or privacy frameworks. Familiarity with AI governance, AI risk assessments, or customer AI questionnaires. Relevant certifications, such as CISA, CRISC, Security+, CIPP, CIPM, or equivalent credentials. Reltio is proud to be an equal opportunity workplace. We are 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Mexico City, Mexico Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Supervisor, Billing Operations. About the job We are seeking an experienced Billing Supervisor to support end-to-end order processing, invoicing, and post-billing communications for sales teams and customers. In this role, you will work closely with Deal Operations, Revenue Accounting, Collections and Sales to ensure smooth contract execution and issue resolution. You will directly lead and support an operational team based in Mexico while collaborating cross-functionally with global counterparts across the United States, Ireland, and India. Responsibilities In this role, you’ll: Lead and supervise an international team of analysts and senior analysts handling post-billing communications, invoice portal processing, and issue remediation. Oversee daily order management, billing, and communications to ensure timely invoicing, precise contract provisioning, and rapid issue remediation while holding the team accountable to key SLAs. Serve as an escalation point for billing, collections, and order management inquiries, delivering timely resolutions for both internal stakeholders and external customers. Review and validate customer contracts across multiple internal systems to maintain data integrity and accurate financial reporting. Execute and own SOX-compliant month-end reconciliations for billing and provisioning, ensuring full data completeness and accuracy. Coordinate and fulfill audit deliverables for internal/external auditors and tax consultants during quarterly and annual reviews. Drive continuous operational improvements, participate in system enhancement initiatives, and lead new process implementations. Onboard, train, and mentor team members to maintain high operational standards across the team. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 5+ years experience in a billing operations role Experience with Salesforce Experience with supporting team members from a supervisory standpoint Excellent communication skills for internal and external stakeholders Proficiency in Excel Strong attention to detail Ability to prioritize and multitask throughout high volume order processing Ability to identify, analyze, and resolve issues independently Collaborative working style and experience working cross-functionally Ability to support flexible timezone meetings periodically Excellent written, and verbal communication skills in English Desired: Experience working in the SaaS/technology industry Experience working with an international team Knowledge of and experience with SOX controls Experience with Zuora Location This role will be remote, and based in Mexico City, Mexico. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Göppingen, Germany; Stuttgart, Germany Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are seeking a highly skilled and technically grounded Product Owner (all genders) to join our TeamViewer Client unit. You will take ownership of the product development for Linux and, in a next step, macOS, driving the product direction and priorities for our Remote Connectivity Product Line (TeamViewer Remote and Tensor) on those platforms." Act as a Product Owner (all genders) within an agile Scrum team, closely collaborating within the Product Management and Development teams to lead product initiatives from planning to release and enablement of field teams Lead the agile product development process, collaborate with various departments including Software Development, UX, Marketing, and Sales to ensure the successful launch of new features Serve as a bridge between customers and the development team, converting customer needs and pain-points into clear product requirements Plan and track support for new Linux distribution and macOS versions along their release cycles, including organizing beta testing and timely deprecation of outdated versions Ensure a shared understanding of product goals and platform-specific constraints with the development team, translating Linux and macOS specifics into well-defined user stories with clear acceptance criteria per platform Coordinate Linux- and macOS-specific development requirements with the development team to ensure platform compatibility Requirements A university degree in a technology or business-related field or comparable qualification Proven expertise in software development environments with a strong emphasis on desktop technologies, and a solid understanding of operating system specifics, including familiarity with Linux and macOS concepts such as distributions, package management, display servers, system permissions and security models Ability to translate complex technical requirements into clear product features and user stories. Hands-on mentality and curiosity for operating systems, including willingness to install, test and explore builds on different Linux distributions and macOS versions yourself Very good communication skills are essential, including the ability to discuss platform-specific technical requirements clearly with the development team and align stakeholders Fluency in English required; additional languages are a plus What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Premiums for the private pension plan ( BAV ) up to the maximum amount are topped up by TeamViewer Public transport friendly offices Option to lease an e-bike (Germany only) Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £265,000 — £375,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote); At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here ! About the role We are looking for a Senior Product Manager to own our authorization optimization product area, where payments and fraud decisioning meet. You will own authorization rate improvement for legitimate transactions. Set the strategy, prioritize the highest-value opportunities, and drive delivery across existing capability teams. This is a hands-on, technical product role. You will translate strategy into precise requirements, define the data and API interfaces that connect us with merchants, payment service providers and issuers, and be the product voice in architecture discussions. You will work daily with engineering and data science, and alongside go-to-market teams who bring the product to merchants. What you'll do Own the authorization optimization roadmap end to end: set priorities, sequence delivery, make tradeoffs, and communicate the plan and its rationale to leadership, engineering and go-to-market teams. Determine where Signifyd should build, orchestrate, partner or influence issuers directly, informed by issuer behavior, merchant needs and regional payment dynamics. Write detailed technical specifications, user stories and acceptance criteria, and manage the backlog with engineering. Define and evolve the APIs, data models and integration points through which authorization and decline data flows between merchants, PSPs, issuers and our platform. Identify, evaluate and develop new partnerships (such as PSPs, gateways, acquirers, issuers and data or technology providers) that expand our coverage and deliver measurable value to merchants. Build issuer/BIN intelligence covering authorization performance, decline patterns and treatment effectiveness. Maintain a quantified opportunity map to prioritize recoverable revenue. Drive issuer-specific decisioning across step-ups, 3DS, decline recovery and intelligent retries; inform routing where merchants have multiple PSP or acquirer options. Work with data science to define requirements for risk-aware decisioning, balancing approval gains against fraud and chargeback exposure. Own measurable authorization uplift and recovered merchant revenue. Demonstrate treatment impact through merchant proofs of value and issuer/BIN-level reporting. Partner with sales, solutions and customer success to bring merchant feedback into the roadmap and support adoption. Stay current on card network rules, regulation and industry practice, and use that knowledge to sharpen requirements. What you'll bring (required) 5+ years in a product management role, including ownership of a roadmap and end-to-end delivery. Hands-on payments product experience spanning issuer authorization behavior, with a deep understanding of decline recovery and retries, 3DS, PSD2/SCA frameworks (including the upcoming transition to PSD3/PSR), and demonstrated improvements in authorization performance. Experience writing detailed technical specs and defining APIs or data interfaces in partnership with engineering (backend or high-volume transaction systems a plus). Strong analytical skills, with comfort working from transaction-level data and defining success metrics. Experience working closely with data science or analytics teams and translating insights into product requirements. Proven ability to influence cross-functional stakeholders without direct authority. Clear written and verbal communication with technical and non-technical audiences. Preferred Experience at a payment processor, PSP, acquirer, card network, issuer or fraud/risk vendor. Exposure to fraud, risk or digital identity products, including the false-decline versus fraud-loss tradeoff. Experience defining requirements for ML-driven decisioning. Familiarity with 3DS/EMVCo, tokenization, ISO 8583 and PSD2/SCA. B2B SaaS or enterprise e-commerce merchant experience. #LI-Remote Benefits in our US offices: Discretionary Time Off Policy (Unlimited!) 401K Match Stock Options Annual Performance Bonus or Commissions Paid Parental Leave (12 weeks) On-Demand Therapy for all employees & their dependents Dedicated learning budget through Learnerbly Health Insurance Dental Insurance Vision Insurance Flexible Spending Account (FSA) Short Term and Long Term Disability Insurance Life Insurance Company Social Events Signifyd Swag Compensation: In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions. Base Salary Ranges by Pay Zone: Tier 1 (NYC/SF Bay Area/Seattle): $165,000 – $205,000 annually Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $155,000 – $195,000 annually Tier 3 (US - All Other): $145,000 – $185,000 annually Equity: This role is eligible for a stock option grant of 7,000 stock options, based on the position level and internal compensation guidelines. Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary. We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. Signifyd's Applicant Privacy Notice

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As an Apparel & Accessories Inventory Planner, you will own inventory levels and buy plans for assigned categories and SKUs to support business objectives and achieve financial targets. Reporting to the Senior Inventory Planning Manager, you will manage day-to-day inventory planning and purchasing activities while supporting broader departmental planning initiatives. You will collaborate closely with fellow Inventory Planners, Product Marketing, Go-to-Market (GTM), FP&A, and Operations teams to ensure optimal inventory levels for new product launches, seasonal assortments, and ongoing business needs. The ideal candidate has 3+ years of experience in inventory planning and analysis. RESPONSIBILITIES: - Partner with D2C Product Marketing Managers to align inventory plans with product launches, seasonal color stories, and assortment strategies. Develop SKU-level inventory plans across D2C channels and markets to support business needs and product availability. - Own inventory health and replenishment planning for assigned categories and SKUs. Monitor inventory levels, analyze selling trends, and proactively identify risks and opportunities, including potential stockouts, excess inventory, and slow-moving products. Recommend actions to optimize inventory productivity and availability. - Translate demand forecasts, sales trends, and product insights into SKU-level buy quantities. Execute purchase orders and adjust purchasing recommendations based on evolving demand, inventory availability, and business priorities. - Maintain accurate inventory and on-order positions to support the Open-to-Buy (OTB) process. Provide bottom-up analysis of inventory needs, upcoming purchases, and potential risks to inform category-level inventory and financial plans. - Partner with Supply Chain to align inventory requirements with production lead times, minimum order quantities (MOQs), supplier capacity, and shipping timelines. Proactively identify and communicate potential supply constraints. - Support inventory allocation and distribution across D2C channels and markets, ensuring the right products are available in the right locations at the right time while balancing customer demand and inventory efficiency. QUALIFICATIONS: - 3+ years of experience in inventory management, demand planning, merchandise planning or allocation planning within a consumer goods or innovation-driven industry - Advanced Excel skills and a strong understanding of retail math required. - Experience with ERP systems (e.g., NetSuite) and demand and inventory planning platforms (e.g., o9, Anaplan, Blue Yonder, or similar tools) is a plus. - Experience with AI tools or analytics platforms is a plus, especially for forecasting or demand modeling. - Strong analytical and problem-solving skills, with the ability to interpret complex data and translate insights into strategic decisions. - Excellent communication and interpersonal skills; comfortable collaborating with cross-functional teams across operations, supply chain, and marketing. - Proven ability to thrive in fast-paced, high-growth environments with competing priorities and tight deadlines. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $80,000 - $110,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: United States Remote Workplace: Remote ABOUT THE TEAM Mural helps teams think, decide, and follow through together. AI made producing content cheap. It did not make agreement, commitment, or follow-through any easier. The AI Workflows team builds the AI and agentic experiences inside Mural that help teams reach decisions and keep them. YOUR MISSION You will own the outcomes for new AI experiences from first idea to proven value. You will partner with the Engineering Manager and the Agentic Design Director for AI Workflows as counterparts, and together you will own the strategy. You will work with a wider team of engineers, ML engineers, designers, and product managers, moving from hypothesis to working prototype to evidence in weeks, not quarters. You will build prototypes yourself and decide what ships, what changes, and what we stop, based on what users do and what the evals tell us. WHAT YOU'LL DO - Set strategy for AI Workflows together with your engineering and design counterparts, own the outcomes and the evidence behind what we build, and engage deeply in the end-to-end user experience - Find the team workflows where AI adds clear value, at the intersection of collaboration, alignment, and decision making. - Build working prototypes with modern AI tools (Claude, Cursor, Codex, or similar) to test ideas with users before committing further investment. - Turn each release into a hypothesis with pass/fail criteria, and make the call on whether to iterate, scale, or kill it. - Define product-quality evals with engineering that measure usefulness, trust, and reliability, and own the call on whether an experience meets the bar to ship. - Decide with engineering and ML when to use frontier models, when to route across models, when to bring in a new model, and when a model of our own is worth building. - Understand the cost to serve each workflow, and work with growth and finance on how usage is metered and what the unit of value is. - Set up the data loops that improve quality, including what we collect, how we label it, and how it feeds evals and model work. - Design agentic experiences that work in real multiplayer sessions, where people need to understand, steer, and correct what the agent does. - Talk with users every week and bring what you learn back into the work. - Work with design, engineering, marketing, sales, legal, and security teams to align on shipping decisions. - Share what you learn across the product organization so other teams can adopt the practices that work. WHAT YOU'LL BRING - 7+ years in product management, including shipping at least one AI product from concept to real users. - Recent hands-on experience building agentic or LLM-based products, including what went wrong and what you changed. - Technical fluency to design and read evals, and to work as a peer with engineers and ML engineers on context management, latency, reliability, and failure modes. - Sound judgment on model decisions: comparing models, routing across them, adopting new ones, and deciding when fine-tuning or a custom model is worth it. - Understanding of AI unit economics, including cost to serve, usage-based metering, and how model choices change margin. - A record of launching, rebuilding, changing direction, and killing ideas based on evidence - Comfort making high-stakes decisions with incomplete information, and being candid about the tradeoffs. - Experience owning outcomes while partnering with expert engineering and design leaders as true counterparts. - Experience creating structure where no playbook exists. - Experience with collaboration or productivity software. - Experience with forward-deployed or customer-embedded product work. - Experience with agent interoperability, including MCP. EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion's mission is to make toolmaking ubiquitous—from wikis and documents to notes, tasks, and databases. Strong product intuition and user focus have driven adoption across organizations of all sizes. Millions of users now rely on Notion's building blocks to get work done. As Notion scales, there's a unique opportunity to build the data foundations that help our product and company reach their full potential. You'll design and build reliable, trusted datasets that accelerate decision-making across product and business functions, directly impacting our roadmap and growth. This role is based in our San Francisco Headquarters. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Define ETL processes and infrastructure to make data readily available across the company - Build core datasets as single sources of truth for product and business teams (product, marketing, sales, finance, customer experience, data science, operations, IT, engineering) - Partner with data scientists and stakeholders to understand their needs and design, build, and monitor pipelines that scale with our growing data - Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration SKILLS YOU'LL NEED TO BRING: - Self-starter who gathers high-impact needs from business partners, designs technical solutions, and communicates clearly about deliverables, timelines, and tradeoffs - 5+ years of experience as a data engineer building core datasets and supporting business functions, with a passion for analytics, data modeling, and solving complex problems - Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional modeling, data marts, schemas) - SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques for writing correct, high-performance queries - Highly comfortable with object-oriented programming (Python, Java, Scala) - Expert at using AI and agent-based tools to accelerate data development for yourself and others, including defining guardrails, workflows, and context for safe, production-scale data work NICE TO HAVES: - Experience at a fast-scaling or SaaS company, with enthusiasm to contribute in such an environment (current Notion users especially welcome) - Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift) Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $179,000 - $200,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Lisbon Workplace: onsite About Spin.AI Spin.AI is a SaaS security company headquartered in Palo Alto, CA, protecting organizations against SaaS ransomware, data loss, data leaks, risky third-party apps, and compliance gaps across their mission-critical SaaS applications. SpinOne is an all-in-one SaaS security platform that brings together backup and disaster recovery, ransomware detection and response, data loss prevention (DLP), and SaaS security posture management (SSPM) for Google Workspace, Microsoft 365, Salesforce, and Slack. With the acquisitions of Revyz (backup and recovery for Atlassian Jira and Confluence) and DoControl (SaaS data loss prevention), Spin.AI continues to expand its coverage of the SaaS stack. More than 1,500 organizations worldwide trust Spin.AI to protect their data. Learn more here . Position Summary: We are looking for an experienced, technically strong, customer-obsessed Customer Support Engineer to support our European customers. You will be the first technical point of contact for IT administrators, security teams, and MSP partners, helping them get the most out of the Spin.AI platform—from onboarding and configuration to troubleshooting backups, restores, security alerts, and integrations. This is a hands-on role for someone who enjoys solving complex problems, explaining technical concepts clearly, and building trust with customers. You will work closely with our Engineering, Product, Customer Success, and Sales teams, and your feedback will directly shape the product and our knowledge base. This role is based in our Lisbon, Portugal office. You will work from the office during the week, and weekend work is done remotely. Hours follow European business hours, with some overlap with our US-based teams. What You Will Do: Provide technical support to customers and partners via email, chat, and video calls, meeting response and resolution SLAs. Research, diagnose, and resolve issues across Spin.AI products, including backup and restore, ransomware protection, DLP, SSPM/app risk assessment. Troubleshoot integrations with Google Workspace, Microsoft 365, Salesforce, Slack, including admin consoles, OAuth/API permissions, and service accounts. Guide new customers through onboarding, setup, and best-practice configuration. Reproduce issues, gather logs and evidence, and escalate to Engineering with clear, well-documented tickets; follow through until resolution. Manage and document cases accurately in our ticketing system (Jira Service Management), ensuring proper recording and closure of all issues. Write and maintain knowledge base articles, FAQs, and internal tech notes. Act as the voice of the customer—share recurring issues, feature requests, and product feedback with Product and Engineering. Partner with Customer Success and Account Management on adoption, renewals, and at-risk accounts, and flag expansion opportunities you spot in customer conversations. Prepare timely reports on support trends and contribute ideas to improve support processes and tooling, including AI-assisted support. What You Bring: 4+ years of experience in technical support, IT support, or a customer-facing engineering role, ideally at a B2B SaaS company, with a track record of owning complex technical escalations from start to finish. Hands-on administration experience with Google Workspace and/or Microsoft 365 (Entra ID, Exchange Online, SharePoint, OneDrive, Teams). Working understanding of SaaS and cloud concepts such as APIs, OAuth, SSO/SAML, user and permission models, and data retention. Strong troubleshooting and problem-solving skills, with the ability to work through ambiguous issues methodically. Excellent written and spoken English (C1 or higher) and the ability to explain technical topics to both technical and non-technical audiences. Excellent client-facing skills, empathy, and a sense of ownership for the customer outcome. Self-motivated and organized, able to work independently, both in the office and remotely on weekends, and prioritize multiple issues in a fast-paced setting. Curiosity and willingness to learn the platform deeply in order to deliver fast, effective support. Based in Lisbon, Portugal, or willing to relocate, and eligible to work in Portugal. Nice to Have: Experience with Salesforce, Slack, or Jira. Background in cybersecurity, data protection, backup/recovery, or DLP. Certifications such as Google Workspace Administrator or Microsoft 365 Administrator. Scripting or technical tooling skills (e.g., PowerShell, Python, REST API tools like Postman). Experience with Jira Service Management, Planhat, or similar support and CS tools. Additional European languages (e.g., German, French, Spanish, Italian). Experience supporting MSPs or channel partners Room to Grow: We invest in our people and want this role to be a launchpad. Depending on your strengths and interests, there is a clear path to grow into: Customer Success Manager (CSM): own a portfolio of customer relationships, drive adoption and retention, run business reviews, and work on renewals and expansions. Solutions Engineer (SE): partner with our Sales team on new business—running technical discovery, product demos, proofs of concept, and answering security questionnaires and RFPs. Your deep product knowledge and customer experience from support give you a strong foundation for either path. Benefits: A dream team of highly motivated and talented people, with ambitious goals and challenges that require strong analytical and communication skills. Competitive base salary + bonuses. Office in Lisbon, Portugal, with remote work on weekends. Medical insurance. Clear career growth paths into Customer Success or Solutions Engineering. Conferences, training, certifications, and other professional development opportunities. Team-building events. Employee Wellness Program Unlimited PTO Why Spin.AI? Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards.

Location: Manila Workplace: remote ELEKS Customer Support Office is looking for a Field Applications Engineer in Philippines.     ABOUT CLIENT Our client is a US-based technology company developing innovative software solutions for industrial automation and manufacturing environments. Its platform provides Git-based source control, real-time visibility into industrial operations, and advanced backup and recovery capabilities for automation systems. The company helps industrial organizations modernize their engineering workflows, improve operational reliability, and securely manage automation assets across complex OT environments. REQUIREMENTS 3+ years in Field Applications Engineering, Controls Engineering, Technical Support, or a similar customer-facing role Hands-on experience deploying and installing software on premises at industrial customer sites Strong experience with OT networking and network deployment, including connectivity, segmentation, and secure access; understanding of the Purdue model Practical experience with PLCs, HMIs, and industrial automation systems, including troubleshooting vendor software such as Rockwell Studio 5000 or Siemens TIA Portal Strong troubleshooting skills across controls, software, hardware, and networks; familiarity with industrial communication protocols Experience with Python, SQL, or another programming or scripting language Clear communication with technical and non-technical stakeholders; ability to work across Controls, IT, Cybersecurity, and Engineering teams Excellent written and spoken English RESPONSIBILITIES Lead on-premises deployments and installations of industrial automation software at customer sites Configure and troubleshoot OT network connectivity, infrastructure, and integration with existing industrial systems Ensure deployments align with the Purdue security model and OT network security best practices Troubleshoot PLC vendor software, industrial communication issues, and integration challenges Serve as the primary technical point of contact for deployed customers, providing troubleshooting and ongoing technical support Diagnose and resolve software, hardware, networking, and backup-related issues Collaborate with Product and Engineering teams to address complex technical issues and customer-specific integration requirements Conduct customer training sessions, technical workshops, and on-site enablement activities Support technical discovery, product demonstrations, and pilot deployments for prospective customers Provide recommendations on secure OT network access, system reliability, and backup and recovery practices Maintain technical documentation, troubleshooting guides, and deployment procedures Work closely with Customer Success, Support, Sales, and Engineering teams to ensure successful deployments and customer satisfaction

Location: Metro Manila, Philippines Workplace: fully IT Help Desk Specialist Location: Remote. International applicants welcome. Schedule: Monday to Friday, 7:30 AM to 3:30 PM US Central Time Type: Full-time independent contractor About the role We run sales and support teams across several health and wellness brands. Everything they do runs on Salesforce, a cloud phone system and a business texting platform. When something breaks, you're the one who fixes it. You'll be the first point of contact for 150+ users: their accounts, their phone setup and their support tickets. You'll escalate only what truly needs a system change. How we work This role is built for someone who doesn't need to be managed. There's no daily task list handed to you. Your work lives on a dashboard that shows every open ticket, pending request and system alert, and your goal is to keep it empty. We're looking for someone who: Starts the day by checking the dashboard, not by waiting for direction Figures things out before asking Manages their own time and priorities, and knows what's urgent and what can wait until the afternoon Follows through without reminders and closes the loop with the person who asked Can be trusted with admin access to the tools the whole company depends on If you do your best work with clear ownership and little supervision, this is that job. What you'll do Keep the help desk dashboard at zero: open tickets, pending account requests and system health alerts Resolve most support tickets yourself, and escalate the rest with the investigation already done Set up and remove user accounts across Salesforce, Vonage, SMS Magic and our other tools as people join, change roles or leave Troubleshoot calling, callback and voicemail issues with agents, and work with Vonage support on open cases Manage our business phone numbers: assignments, releases, and requesting spam-label removal with the carriers (AT&T, Verizon, T-Mobile) Maintain users and numbers in our business texting platform Process requests to delete call recordings under our privacy process Correct sales and order records when automated checks flag a mismatch What you'll need 2+ years in IT help desk, technical support or contact center support Salesforce experience strongly preferred, especially managing users, permissions and records Strong troubleshooting skills: you can take a vague "it's not working," find the cause, and fix it or explain it clearly A track record of working independently: self-motivated, organized and good at managing your own time Excellent written and spoken English; most communication is written, in tickets and Slack Reliable internet and a quiet workspace for the full 7:30 to 3:30 CT schedule Nice to have Salesforce Administrator certification Vonage Contact Center (VCC) or another cloud contact center platform SMS platforms, telecom or phone number management Experience supporting sales teams

Location: Redwood City, CA WHAT IS BOX? Box is the market leader for Cloud Content Management and Intelligent Content Management. Our mission is to power how the world works together. Box partners with enterprise organizations across the globe to accelerate their digital transformation by providing a unified platform for secure content management, collaboration, automated workflow, and generative AI integrations. By joining Box, you will have the unique opportunity to help shape the future of intelligent content management for the modern enterprise. Today, Box powers over 115,000+ businesses, including a significant majority of the Fortune 500, who trust our secure platform to protect, govern, and extract value from the entire content lifecycle. WHY BOX NEEDS YOU We are looking for a high-energy, proactive, and hands-on leader to join our Technical Accounting and External Reporting team. The ideal candidate thrives in external reporting, technical accounting research, and policy formulation, and possesses excellent verbal and written communication skills. You are a strategic problem solver capable of translating complex accounting guidance into actionable, scalable business solutions in a fast-paced, high-growth environment. WHAT YOU'LL DO Technical Research & Accounting Policy: Evaluate the accounting treatment for complex and non-routine transactions (e.g., debt and equity offerings, strategic investments, M&A, cloud infrastructure commitments, and new product initiatives). Research US GAAP and SEC regulations, draft clear and authoritative technical accounting memorandums, and maintain/update global corporate accounting policies. External Reporting & SEC Filings: Prepare, review, and coordinate financial statements and footnote disclosures for external SEC filings, including Form 10-K, Form 10-Q, Form 8-K, Proxy Statements, and other regulatory filings using modern disclosure management tools (e.g., Workiva/Wdesk). Contract & Commercial Reviews: Partner cross-functionally with Legal, Sales Operations, and Procurement to review non-standard revenue, vendor, and licensing contracts to identify accounting implications and ensure policy compliance. Audit Management & Coordination: Lead technical accounting discussions and coordination for quarterly reviews and annual audits, managing deliverables and relationships with internal and external auditors. Month-End & Financial Operations: Prepare and review monthly/quarterly reconciliation schedules, journal entries, and variance analyses for technical accounting areas (e.g., stock-based compensation, leases, capitalized software, debt/equity, and segment reporting). Cross-Functional Collaboration: Act as a trusted technical advisor across Controllership, FP&A, Treasury, Tax, Legal, Workplace Services, and Engineering teams. Process Improvement & AI Automation: Champion continuous process improvement, leveraging automation tools and AI-driven workflows to streamline reporting cycles and enhance operational efficiency. SOX Compliance & Internal Controls: Design, implement, and maintain effective internal controls over financial reporting (SOX 404) for technical accounting and external reporting processes. WHO YOU ARE Required Skills & Experience: 4–6+ years of progressive accounting experience, including Big 4 public accounting experience. Bachelor’s or Master’s degree in Accounting, Finance, or a related field. Active CPA license (or equivalent). Strong technical knowledge of US GAAP and SEC reporting regulations. Proven track record of drafting comprehensive technical accounting memos and disclosures. Exceptional analytical, problem-solving, project management, and organizational abilities. Outstanding written and verbal communication skills, with the ability to articulate complex accounting concepts to both financial and non-financial audiences. Preferred Skills & Experience: Experience with high-growth SaaS or technology companies. Proficiency with NetSuite, and modern financial systems/ERP platforms. Deep familiarity with key standards, including ASC 606 (Revenue Recognition), ASC 842 (Leases), ASC 718 (Stock Compensation), ASC 350-40 (Internal-Use Software), and ASC 230 (Statement of Cash Flows). Experience with workflow automation and data analytics tools. BENEFITS & PERKS Box offers comprehensive, competitive benefits designed to support our employees' health, well-being, and financial future: Competitive salary, equity incentives, and annual performance bonuses Comprehensive medical, dental, and vision coverage 401(k) retirement plan Flexible Paid Time Off (PTO) and company-wide wellness holidays Parental leave and family planning support Wellness stipends, continuous learning allowances, and professional development programs EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other protected status under applicable law. Box is committed to providing reasonable accommodations to applicants and employees with disabilities throughout the recruitment and employment process. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. Based on current business needs, there is no relocation assistance provided for this role. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form https://forms.gle/5W2F6Pe3PsZNsKYp9 (https://forms.gle/5W2F6Pe3PsZNsKYp9). Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided here https://bca.lacity.org/fair-chance (https://bca.lacity.org/fair-chance). Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided here https://sfgov.org/olse/sites/default/files/FCO%20poster2020.pdf (https://sfgov.org/olse/sites/default/files/FCO%20poster2020.pdf). For details on how we protect your information when you apply, please see our Personnel Privacy Notice: https://cloud.app.box.com/v/BoxPersonnelPrivacyNotice If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here: https://cloud.box.com/s/uf7c4w970ds5gpt1dufdk5bw49oym849 . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here: https://careers.box.com/en/how-we-hire/ai-in-our-hiring-process/ (https://careers.box.com/en/how-we-hire/ai-in-our-hiring-process/). #LI-Hybrid Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $118,000 — $147,500 USD

Location: United States Workplace: remote ELEKS Customer Support Office is looking for a Field Applications Engineer in the USA.     ABOUT CLIENT Our client is a US-based technology company developing innovative software solutions for industrial automation and manufacturing environments. Its platform provides Git-based source control, real-time visibility into industrial operations, and advanced backup and recovery capabilities for automation systems. The company helps industrial organizations modernize their engineering workflows, improve operational reliability, and securely manage automation assets across complex OT environments. REQUIREMENTS 3+ years in Field Applications Engineering, Controls Engineering, Technical Support, or a similar customer-facing role Hands-on experience deploying and installing software on premises at industrial customer sites Strong experience with OT networking and network deployment, including connectivity, segmentation, and secure access; understanding of the Purdue model Practical experience with PLCs, HMIs, and industrial automation systems, including troubleshooting vendor software such as Rockwell Studio 5000 or Siemens TIA Portal Strong troubleshooting skills across controls, software, hardware, and networks; familiarity with industrial communication protocols Experience with Python, SQL, or another programming or scripting language Clear communication with technical and non-technical stakeholders; ability to work across Controls, IT, Cybersecurity, and Engineering teams Excellent written and spoken English RESPONSIBILITIES Lead on-premises deployments and installations of industrial automation software at customer sites Configure and troubleshoot OT network connectivity, infrastructure, and integration with existing industrial systems Ensure deployments align with the Purdue security model and OT network security best practices Troubleshoot PLC vendor software, industrial communication issues, and integration challenges Serve as the primary technical point of contact for deployed customers, providing troubleshooting and ongoing technical support Diagnose and resolve software, hardware, networking, and backup-related issues Collaborate with Product and Engineering teams to address complex technical issues and customer-specific integration requirements Conduct customer training sessions, technical workshops, and on-site enablement activities Support technical discovery, product demonstrations, and pilot deployments for prospective customers Provide recommendations on secure OT network access, system reliability, and backup and recovery practices Maintain technical documentation, troubleshooting guides, and deployment procedures Work closely with Customer Success, Support, Sales, and Engineering teams to ensure successful deployments and customer satisfaction

We are looking for a Dynamics 365 CE/CRM Consultant to technically lead complex consulting and implementation initiatives involving Microsoft Dynamics 365 Customer Engagement and CRM. Design complex solutions integrating Dynamics 365 CRM, Customer Experience, and business process modeling.

Location: San Francisco Bay Area, California, United States; San Francisco, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Nebius is looking for a community-focused professional to join our global startup team as Startup Community Manager. In this role, you will lead community engagement and activation across Nebius' venture capital ecosystem, developing programs that connect investors, founders, and high-potential AI startups. Your mandate is to build relationships with VC platform and community teams, working alongside Nebius' VC Alliances team to activate priority venture partnerships through meaningful programming and portfolio engagement. You will lead partner outreach, develop curated programming, and bring together the right mix of investors and portfolio founders through intimate dinners, roundtables, and other community experiences that create value for the broader startup ecosystem. This role sits at the intersection of startup community development, ecosystem partnerships, and program activation, working closely with internal teams to expand Nebius' reach among high-potential AI companies. This position is based in the San Francisco Bay Area. Our San Francisco office is available for collaboration, but regular office attendance is not required. Your responsibilities will include: Lead Community Engagement & Ecosystem Activation Build and manage relationships with VC platform and community teams to identify opportunities for portfolio engagement and collaborative programming. Partner with Nebius' VC Alliances team to activate priority venture relationships through targeted community initiatives. Develop a repeatable engagement model that strengthens Nebius' connections with VC-backed founders and startup communities. Lead Community Programming & Ecosystem Activations Design and execute curated programs, including founder dinners, investor roundtables, and portfolio gatherings, in collaboration with venture ecosystem partners. Own end-to-end program development, including partner coordination, audience prospecting, invitation strategy, execution, and follow-up. Create high-value experiences that bring together the right mix of investors and portfolio companies while serving the needs of the startup ecosystem. Drive Portfolio Engagement & Startup Ecosystem Growth Identify and engage high-potential VC-backed startups aligned with Nebius' priority industries and customer profiles. Collaborate with Venture ecosystemand Sales teams to facilitate portfolio introductions and continued founder engagement. Surface emerging startup opportunities and ecosystem insights to inform Nebius' broader startup strategy. Measure Community Impact Track and report on community partner engagement, portfolio company participation, program performance, and startup pipeline influence. Use partner feedback and engagement insights to continuously improve programming and strengthen community activation. We expect you to have 3–5+ years of experience in startup ecosystem development, community building, strategic partnerships, or event programming. Experience working with venture capital platform teams, startup founders, or VC-backed startup communities, ideally within AI or enterprise technology. Demonstrated ability to build and manage relationships through proactive outreach and ongoing engagement. Experience designing and executing curated founder, investor, or executive-level programs. Strong audience development, relationship management, and organizational skills. Ability to operate independently in a fast-moving, cross-functional environment. A strong interest in AI, emerging technologies, and the venture capital ecosystem. It will be an added bonus if you have Existing relationships with Bay Area VC platform teams and startup founder communities. Experience managing VC portfolio engagement or investor-focused community programs. A track record of translating ecosystem engagement into meaningful startup relationships and business opportunities. Familiarity with AI infrastructure, cloud computing, or developer tools. Key employee benefits in the US: #LI-LG1 Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $140,000 — $170,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU As a Staff Product Manager for AI Security, you will be the strategic product leader responsible for defining and executing the product vision and roadmap to secure agentic AI capabilities, autonomous workflows, and generative AI integrations across the Box Intelligent Content Management platform. As enterprise AI evolves from single-prompt interactions to multi-agent architectures and autonomous agentic workflows, securing enterprise content against novel AI threats is a top priority for CISOs and security leaders worldwide — and existential to Box's mission. In this high-impact individual contributor role, you will build and scale defense mechanisms for both Box's native agentic capabilities — including Box Agent — and external integrations connecting third-party agents and foundation models via Model Context Protocol (MCP) and enterprise APIs. You will partner closely with world-class AI/ML engineers, security architects, red-team researchers, and corporate security teams to translate the bleeding edge of AI threat intelligence into robust, scalable platform guardrails and enterprise security controls. WHAT YOU'LL DO You will define and execute the product strategy, technical vision, and roadmap for AI Security and Agentic Guardrails across Box AI, Box Shield, and the broader Box platform ecosystem. You will build agent guardrail frameworks and policy engines to monitor, evaluate, and constrain autonomous agent behaviors across Box Agent, custom workflow agents, and external model integrations. You will secure agentic connectivity powered by Model Context Protocol (MCP) and third-party AI APIs, establishing strict authentication, context boundary isolation, dynamic permissioning, and secure tool execution. You will architect multi-layered defenses against advanced AI threats, including direct and indirect prompt injection, jailbreaking, training data extraction, system prompt leakage, and coordinated agentic attack swarms. You will partner with Engineering, Applied AI/ML Research, Security Architecture, and UX Design to deliver low-latency, enterprise-grade AI security controls that preserve developer velocity and user experience. You will drive key business and security efficacy metrics, including guardrail evaluation accuracy, prompt injection prevention rates, MCP integration adoption, and Shield / Enterprise Plus security revenue growth. You will collaborate with Product Marketing, Sales, Customer Success, and Compliance to lead GTM strategy and position Box as the gold standard in safe, trusted Enterprise Agentic AI. You will engage directly with enterprise customers, AI security working groups, and industry analysts to anticipate evolving AI attack vectors, validate product requirements, and guide industry best practices. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. You have 8+ years of product management experience building and scaling enterprise B2B SaaS security products, cybersecurity platforms, cloud security solutions, or AI/ML infrastructure platforms. You bring deep domain expertise in AI/ML security, LLM application security (e.g., OWASP Top 10 for LLM Applications), prompt injection defense, agentic guardrail frameworks, or model alignment and safety systems. You have a proven track record developing product strategies around agentic architectures, multi-agent coordination, tool-use and function-calling security, or model integration protocols such as Model Context Protocol (MCP). You have a strong understanding of emerging threat vectors targeting autonomous AI systems, including multi-turn adversarial attacks, indirect injection via ingested content, and coordinated agentic attack swarms. You have the technical acumen to partner with AI/ML research and engineering leaders on vector embeddings, semantic evaluation models, LLM latency trade-offs, API gateway security, and zero-trust data access control. You have exceptional analytical capability to define guardrail telemetry, track threat mitigation efficacy, and balance strict safety barriers with responsive AI interactions, along with proven executive presence to influence C-level security leaders and align cross-functional stakeholders. Preferred Skills Experience working with frontier AI/LLM models, prompt evaluation frameworks, red-teaming AI systems, or developing real-time guardrail runtime libraries (e.g., NeMo Guardrails, Llama Guard, or proprietary guardrail pipelines). Hands-on familiarity with MCP (Model Context Protocol), agent orchestration frameworks, or semantic router architectures. Familiarity with enterprise compliance standards, zero-trust architectures, data loss prevention (DLP), or AI governance frameworks (e.g., NIST AI RMF, ISO 42001). Technical background with a Bachelor's or Master's degree in Computer Science, Cybersecurity, Artificial Intelligence, Engineering, or equivalent practical experience. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $217,000 — $271,000 USD