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Location: Worldwide Role Overview The Sikh Research Institute (SikhRI) is seeking a part-time Translator with expertise in Braj/Gurmukhi for a 5 year commitment on translation work. SikhRI connects people with the teachings of Sikhi and strengthens the bonds of the Sikh community around the world by offering courses and seminars in a variety of mediums. Our goal is to make Sikh education accessible to anyone, help more people to understand the principles of Sikhi, and present the Guru Granth Sahib the way it is. The Translator will work closely with researchers and strategic advisors on the Sikh History Project (SHP). SHP aims to make history open-access, to offer synthesis and a Gurmat-based approach to historical analysis for deeper and more nuanced understandings. The translator will produce high-quality translations of historical and theological texts, contributing to a Gurmat-informed narration of Sikh history for a broad non-academic audience. Key Responsibilities Collaboration with Research Team Work with researchers to: Identify texts and excerpts for translation Estimate translation timelines and efforts Incorporate feedback from Subject Matter Experts and Advisors Support the development of Factsheets on Gurus, key figures, and historical events; Analytical papers and articles. Translation of Primary Sources Translate texts from the 1400s to the 1800s from Braj OR Persian into clear, accurate, and accessible English. Work on materials, including but not limited to: Early Sikh literature Court poetry, manuscripts, and historical narratives Ensure translations preserve: Linguistic nuance and poetic structure where relevant Historical and cultural context Gurmat perspective on Sikh history Flag ambiguous or contested passages and collaborate on interpretation Ensure adherence to project-wide translation standards, maintain consistency in terminology across texts and time periods. Qualifications Demonstrated expertise in Braj Strong command of English with the ability to produce clear and readable prose Ability to read Gurmukhi Experience working with historical texts and manuscripts Familiarity with South Asian historical contexts Familiarity with Sikh history

Location: Worldwide Role Overview The Sikh Research Institute (SikhRI) is seeking a part-time Translator with expertise in Persian/Urdu, and working knowledge of Shahmukhi script for a 5 year commitment. SikhRI connects people with the teachings of Sikhi and strengthens the bonds of the Sikh community around the world by offering courses and seminars in a variety of mediums. Our goal is to make Sikh education accessible to anyone, help more people to understand the principles of Sikhi, and present the Guru Granth Sahib the way it is. The Translator will work closely with researchers and strategic advisors on the Sikh History Project (SHP). SHP aims to make history open-access, to offer synthesis and a Gurmat-based approach to historical analysis for deeper and more nuanced understandings. The translator will produce high-quality translations of historical and theological texts, contributing to a Gurmat-informed narration of Sikh history for a broad non-academic audience. Key Responsibilities Collaboration with Research Team Work with researchers to: Identify texts and excerpts for translation Estimate translation timelines and efforts Incorporate feedback from Subject Matter Experts and Advisors Support the development of Factsheets on Gurus, key figures, and historical events; Analytical papers and articles. Translation of Primary Sources Translate texts from the 1400s to the 1800s from Braj OR Persian into clear, accurate, and accessible English. Work on materials, including but not limited to: Early Sikh literature Court poetry, manuscripts, and historical narratives Ensure translations preserve: Linguistic nuance and poetic structure where relevant Historical and cultural context Gurmat perspective on Sikh history Flag ambiguous or contested passages and collaborate on interpretation Ensure adherence to project-wide translation standards, maintain consistency in terminology across texts and time periods. Qualifications Demonstrated expertise in Braj, OR Persian Strong command of English with the ability to produce clear and readable prose Ability to read Gurmukhi Experience working with historical texts and manuscripts Familiarity with South Asian historical contexts Familiarity with Sikh history

Location: Remote, Canada; Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United States and Canada only. Candidates based in the United Kingdom can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — UK (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $314,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA | New York City, NY | Washington, DC 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 As an Enforcement Analyst focused on Bio Harms, you will play a critical role in protecting against the misuse of AI systems for biological and related CBRNE harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating bio risks, investigating potential violations, and help continuously strengthen our safeguards.  The work sits at the intersection of biosecurity threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm. This role is a fit for someone who understands the dual-use nature of biology and enabling technologies well enough to separate the benign from the malicious. You will own and continuously improve the enforcement monitoring workflows for the bio-harms area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering cross-functional partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems. Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams. Key responsibilities Enforce Usage Policies with a specific focus on detecting and mitigating potential bio risks and harmful use of AI systems. Take ownership of enforcement monitoring workflows for the bio-harms area, improving end-to-end detection, investigation, triage, and escalation processes. Monitor and analyze platform activity to identify emerging patterns related to biological (and adjacent chemical, radiological, nuclear, and explosive) threats that may require policy updates or enforcement action. Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface. Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions. Proactively surface trends and propose improvements to detection methods and review workflows. Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for bio-related policy violations. Partner with Policy and Threat Intelligence groups to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems. Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to potential bio-related Usage Policy violations. Minimum qualifications Hold a degree in a bio-related field (e.g., microbiology, molecular biology, biochemistry, public health) and/or relevant professional experience in a related field. Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows. Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts. Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure. Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative. Communicate clearly in writing and can translate technical bio concepts for diverse audiences, including both technical and non-technical stakeholders. Preferred qualifications Subject matter expertise in biodefense, biosecurity, WMD/CBRNE non-proliferation, or threat-intelligence. An understanding of where real-world biological risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction. Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health. Familiarity with dual-use research of concern (DURC), select agents, and relevant policy frameworks. 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: $245,000 — $285,000 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: San Francisco, CA | New York City, NY | Seattle, WA 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 Claude Platform ships fast, and every launch lands better when the field can understand it, demo it, and teach it. You'll own platform enablement end to end: the demos, hands-on labs, and technical curriculum that let Anthropic's go-to-market teams showcase the Claude Developer Platform with confidence, whether they're building on Anthropic's first-party API or through Bedrock, Vertex, and Foundry. You'll join roadmap and launch planning with the product team before features ship, so the field has what it needs on day one. You're an engineer who teaches. You've shipped products to users. You know the difference between a demo that raises awareness and one that creates champions. And you get as much energy from watching a seller nail your lab as from building it yourself. Key responsibilities Turn launches into field-ready content: Translate new platform capabilities (API, tool use and MCP, Agent SDK, memory and skills) into demos, labs, and quick-reference guides within days of release, and build compelling demo scenarios across industries and developer personas Deliver training that sticks: Run Claude Platform training for technical onboarding and ongoing enablement programs, delivering hands-on sessions wherever the field gathers, from a 12-person lab to a 100-person field-readiness day Coach the field: Coach technical sellers on demo delivery through practice sessions and office hours Scale beyond the live session: Develop self-service resources and experimental tools so the field can learn without you in the room, and contribute to the tooling that scales enablement, including demo environments, content-freshness automation, and self-service infrastructure Close the loop with product: Stress-test new platform features before launch, then bring field signal back to product and product marketing on where sellers get stuck and what content would unlock the next deal Measure what lands: Track content usage and session feedback so you know what is working and what to retire Minimum requirements Experience in a customer-facing technical role, such as solutions architecture, sales engineering, developer relations, or technical enablement Experience writing production-quality code and building technical demos Hands-on experience building with LLM APIs and agents, including tool use, MCP, or agent frameworks, beyond prompting alone Experience using AI coding tools as part of your daily engineering work Experience delivering live technical training or talks to both technical and non-technical audiences Experience partnering directly with sales, solutions engineering, or other go-to-market teams Preferred requirements A portfolio you can show us: labs, courses, talks, or repos you built yourself Experience with Claude Code, or a comparable agentic coding tool, as core infrastructure in your daily work Experience building on the Claude Developer Platform through cloud providers such as Amazon Bedrock, Google Vertex AI, or Microsoft Foundry Experience as a technical founder, early startup employee, or 0-to-1 operator who has taken an idea to product-market fit Public speaking, conference presentations, or community-facing developer advocacy Experience building enablement tooling, such as demo environments, content-freshness automation, or self-service infrastructure Deep enthusiasm for AI and genuine care about building it responsibly 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: $290,000 — $365,000 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: Mexico Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with law firms and other large enterprise clients, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Develop and manage a named account list and be responsible for the full sales cycle from prospecting to contracting to onboarding, launching, and growing new users. - Achieve and exceed revenue targets and other key sales metrics. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Build strong, long-term relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients. - Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts. WHAT YOU HAVE - Proven track record of selling complex software solutions to enterprise clients, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology. - Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work and interest in the legal profession and helping lawyers do their jobs better and more efficiently. - Excited about prospecting, and capable of independently leading a sales cycle from start to finish. - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our sales processes and team-driven sales culture, refining the value proposition of our solutions and creating sales resources to drive our success. LOCATION Mexico City DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA | New York City, NY | Washington, DC 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 As a Safeguards Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals. Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems Review flagged content to drive enforcement and policy improvements Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows Minimum qualifications Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR) Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues Proficiency in Python for data analysis and automation Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments 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: $285,000 — $330,000 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: San Francisco, CA 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 Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities. While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives. Key responsibilities Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives Build and maintain systematic testing methodologies that evaluate every aspect of our systems Develop automated testing frameworks to enable continuous assessment at scale Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements Help establish metrics for measuring detection effectiveness of novel abuse Minimum qualifications Experience in penetration testing, red teaming, or application security Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks) Experience building custom automation, including LLM-specific testing frameworks A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways A public body of work such as CVEs, blog posts, or disclosed bug bounty reports Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences Preferred qualifications Experience with AI/ML security or adversarial machine learning Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks Experience testing API security and rate-limiting systems Background in testing business logic vulnerabilities and authorization bypass techniques Background in anti-fraud, trust & safety, or abuse prevention systems Familiarity with distributed systems and infrastructure security Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses Adaptability to understand and build engagements around emerging threats outside your direct area of expertise 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: $320,000 — $405,000 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: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE RETAIL TEAM - Sierra is partnering with a large and growing number of retailers - spanning apparel and beauty, grocery and big-box, home and auto, consumer services, marketplaces, and consumer technology. Our agents help millions of shoppers and members every day: tracking and returning orders, finding the right product, booking services, and resolving issues in each brand’s own voice. - Retail is also where AI agents go beyond support to generate revenue. From product discovery and personalized recommendations to cart recovery, win-back campaigns, and in-store support that turns unanswered store calls into visits and sales, our team is redefining what an agent can do for a brand’s top line - not just its cost line. - Join us to transform how the world’s most-loved consumer brands engage their customers - and help build technology that makes shopping more personal, effortless, and delightful for everyone. WHAT YOU'LL DO - Lead & develop a high-performing sales team: Hire, onboard, and develop AEs across your region, Coach reps on deal strategy, pipeline management, and execution. Create a culture of accountability, learning, and collaboration. Identify and grow future leaders on your team. - Own regional performance: Own your regional number and forecast accuracy, Inspect pipeline quality and help unblock stalled deals. Drive consistent execution of our sales process. Partner with RevOps to ensure clean data and clear insights. - Be deeply involved in deals: Join key customer and prospect conversations. Help reps navigate complex buying committees and late-stage deals. Support pricing, negotiation, and close strategy. WHAT YOU'LL BRING - 10-15+ years of experience: Extensive experience in enterprise customer-facing sales role, identifying and closing large accounts. - People leadership experience: 5+ years managing, mentoring, and developing a high-performing enterprise sales team. - Enterprise experience: You've run and managed end-to-end complex deals ($1M+). - Strong communication skills: Exceptional verbal and written communication abilities. - Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. EVEN BETTER... - Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends, as well as fluency with AI tooling and workflows. - Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE HEALTHCARE TEAM - Our healthcare agents already reach over 50% of U.S. families. We partner with leading health plans, providers, and healthcare platforms to deliver AI agents that handle some of the most sensitive and high stakes conversations in any industry. From helping members understand their benefits to resolving billing questions with empathy, our healthcare agents are transforming how patients and policyholders interact with the healthcare system. - Our healthcare customers include major health insurance networks, nonprofit providers, multi-site primary and urgent care practices, healthcare diagnostics companies, and healthcare financial platforms. - Join us to transform the patient experience across the healthcare system—and help build technology that makes care more accessible, more human and more affordable for everyone. WHAT YOU'LL DO - Lead & develop a high-performing sales team: Hire, onboard, and develop AEs across your region, Coach reps on deal strategy, pipeline management, and execution. Create a culture of accountability, learning, and collaboration. Identify and grow future leaders on your team. - Own regional performance: Own your regional number and forecast accuracy, Inspect pipeline quality and help unblock stalled deals. Drive consistent execution of our sales process. Partner with RevOps to ensure clean data and clear insights. - Be deeply involved in deals: Join key customer and prospect conversations. Help reps navigate complex buying committees and late-stage deals. Support pricing, negotiation, and close strategy. WHAT YOU'LL BRING - 10-15+ years of experience: Extensive experience in enterprise customer-facing sales role, identifying and closing large accounts. - People leadership experience: 5+ years managing, mentoring, and developing a high-performing enterprise sales team. - Enterprise experience: You've run and managed end-to-end complex deals ($1M+). - Strong communication skills: Exceptional verbal and written communication abilities. - Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. EVEN BETTER... - Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends, as well as fluency with AI tooling and workflows. - Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE RETAIL TEAM - Sierra is partnering with a large and growing number of retailers - spanning apparel and beauty, grocery and big-box, home and auto, consumer services, marketplaces, and consumer technology. Our agents help millions of shoppers and members every day: tracking and returning orders, finding the right product, booking services, and resolving issues in each brand’s own voice. - Retail is also where AI agents go beyond support to generate revenue. From product discovery and personalized recommendations to cart recovery, win-back campaigns, and in-store support that turns unanswered store calls into visits and sales, our team is redefining what an agent can do for a brand’s top line - not just its cost line. - Join us to transform how the world’s most-loved consumer brands engage their customers - and help build technology that makes shopping more personal, effortless, and delightful for everyone. WHAT YOU'LL DO - Independently drive complex enterprise deals end-to-end: Manage a broad enterprise book with strong autonomy, leading 6- and 7-figure deal cycles from prospecting to close. - Multi-thread to the C-suite: Lead VP-level conversations, build durable C-suite relationships across customer orgs, and earn credibility quickly with new stakeholders. - Manage risk proactively: Identify and manage deal risk early; build rigorous stakeholder maps for your accounts. - Make the hard calls: Partner with your manager (and, at the senior level, operate more independently) on pricing, escalation timing, exec alignment, and deal strategy — coming to the table with a point of view, not just a problem. - Leverage leadership & co-founders: Bring in Sierra's co-founders effectively for exec engagement when it moves a deal. - Raise the bar: Act as a visible, steady leader on deal teams; proactively elevate the team's standard without being asked. - Operate as an AI-native seller: Leverage AI tools across the full sales cycle- account research, personalized outreach, call summarization, pipeline forecasting, and deal execution- to automate low-value tasks and reinvest that time into high-value customer relationships, while continuously adopting and experimenting with new tools to work faster and smarter than traditional methods allow. WHAT YOU'LL BRING - 8- 10 years of enterprise customer-facing sales experience, identifying and closing large accounts. - Experience managing a $1M+ quota and running end-to-end complex 6- and 7-figure ACV deals. - Proven ability to multi-thread and build trusted relationships across customer C-suites. - Exceptional verbal and written communication. - Analytical mindset - you analyze market trends, spot opportunities, and make data-driven decisions. EVEN BETTER... - Familiarity with the AI landscape, key players, and emerging trends. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE HEALTHCARE TEAM - Our healthcare agents already reach over 50% of U.S. families. We partner with leading health plans, providers, and healthcare platforms to deliver AI agents that handle some of the most sensitive and high stakes conversations in any industry. From helping members understand their benefits to resolving billing questions with empathy, our healthcare agents are transforming how patients and policyholders interact with the healthcare system. - Our healthcare customers include major health insurance networks, nonprofit providers, multi-site primary and urgent care practices, healthcare diagnostics companies, and healthcare financial platforms. - Join us to transform the patient experience across the healthcare system—and help build technology that makes care more accessible, more human and more affordable for everyone. WHAT YOU'LL DO - Independently drive complex enterprise deals end-to-end: Manage a broad enterprise book with strong autonomy, leading 6- and 7-figure deal cycles from prospecting to close. - Multi-thread to the C-suite: Lead VP-level conversations, build durable C-suite relationships across customer orgs, and earn credibility quickly with new stakeholders. - Manage risk proactively: Identify and manage deal risk early; build rigorous stakeholder maps for your accounts. - Make the hard calls: Partner with your manager (and, at the senior level, operate more independently) on pricing, escalation timing, exec alignment, and deal strategy — coming to the table with a point of view, not just a problem. - Leverage leadership & co-founders: Bring in Sierra's co-founders effectively for exec engagement when it moves a deal. - Raise the bar: Act as a visible, steady leader on deal teams; proactively elevate the team's standard without being asked. - Operate as an AI-native seller: Leverage AI tools across the full sales cycle- account research, personalized outreach, call summarization, pipeline forecasting, and deal execution- to automate low-value tasks and reinvest that time into high-value customer relationships, while continuously adopting and experimenting with new tools to work faster and smarter than traditional methods allow. WHAT YOU'LL BRING - 8- 10 years of enterprise customer-facing sales experience, identifying and closing large accounts. - Experience managing a $1M+ quota and running end-to-end complex 6- and 7-figure ACV deals. - Proven ability to multi-thread and build trusted relationships across customer C-suites. - Exceptional verbal and written communication. - Analytical mindset - you analyze market trends, spot opportunities, and make data-driven decisions. EVEN BETTER... - Familiarity with the AI landscape, key players, and emerging trends. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Mechatronics Remote Support Engineer to be the troubleshooting core of our Remote Services team — the people who keep our humanoid robots running in the field. When a robot has a problem, you diagnose it remotely, resolve what can be resolved without a site visit, and — when hands are needed on the robot — produce a precise physical-intervention recommendation for the field or Repair Centre teams to execute. This is a hands-on, customer-facing technical role. You will work remote-first, diagnosing as deep into the robot as the tools allow, and you will occasionally travel as a “flying doctor” when local resources cannot resolve an issue themselves. WHAT YOU’LL DO: - Diagnose robot faults remotely using telemetry and our Digital Shadow diagnostics (remote diagnostics, 3D BOM explosion, and fleet-pattern detection). - Resolve issues remotely wherever possible, driving each case to the deepest root cause you can before escalating. - Produce complete physical-intervention recommendations — what to do, why, how, the skill level, spare parts, expected time, and any special tooling. - Occasionally, act as a flying doctor on-site when local resources cannot fix the issue themselves. - Prioritise cases against SLAs and keep customers informed with clear, transparent updates. - Document diagnoses and resolutions so the team’s collective knowledge grows while the digital tools mature. - Escalate through the single point of entry to Engineering when a case genuinely needs R&D. WE’RE LOOKING FOR: - Hands-on knowledge of robot hardware: 2D/3D LiDAR, RGB cameras, motors, and actuators. - Software troubleshooting on robots: ROS2, Bash, Ubuntu/Linux, and bootloader/firmware. - Strong remote-diagnosis instincts — you localise faults precisely before recommending any physical work. - Clear technical communication with customers and field teams, especially under SLA pressure. - A methodical, case-to-the-end mindset with disciplined documentation. - Willingness to travel occasionally for on-site interventions. NICE TO HAVE: - Experience with Time-of-Flight (ToF) sensors and IMUs. - Python and Git for building small diagnostic utilities. - Prior customer-facing field-service or technical-support experience. - Familiarity with SLA-driven support operations and lean, one-piece-flow ways of working. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ days off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer. Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally. Responsibilities: Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners Minimum Qualifications: Proficiency in Python, SQL, and data analysis tools Experience building or operating fraud, risk, or abuse detection systems in production Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders Preferred Qualifications: 8+ years of industry software engineering experience, with a focus on payments fraud or risk Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team 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: $320,000 — $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: Remote - United Kingdom 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 Security Engineer, Incident Response About the job The Security Incident Response Team (SIRT) is looking for a Security Engineer who is passionate about solving Twilio’s mission of security and reliability by working across the organization to lead the technical response to security events and incidents across Twilio’s global infrastructure, services and applications by effectively conducting triage, containment, remediation and driving post-incident betterments.  You will work within a team that partners with R&D Engineering and R&D Business teams to develop scalable processes and technical solutions. You will be a valued member of a team of deeply technical Security Engineers to focus on creating bespoke and standard Security response processes, enhancing our capabilities for threat mitigation and incident response, and then automating as much as you possibly can (and more)! You will help us to grow our global, scaled team and program. Responsibilities In this role, you’ll: Lead and support the response to all security events and incidents across Twilio’s complex global infrastructure, services and applications. Be responsible for documentation of incidents and projects you work on and craft best practices as runbooks and standard operating procedures to share knowledge across teams. Work cross-collaboratively to understand and help solve challenges related to a broad spectrum of threat actors and activity. Work to improve Twilio’s security and reliability posture by driving identified betterments from security events and incidents. Rapidly acquire new technical skills and knowledge in a fast-paced, highly disruptive industry environment. Own the security incident lifecycle, respond to incidents and participate in on-call rotation and participate in RCAs for security incidents. Build, cultivate, and maintain positive relationships with internal customers to identify and facilitate solutions to increase the impact of the team’s work. Provide mentorship, support, and care for the team in a way that enables long-term career development, happiness, and success at scale. 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: Proven experience: 3+ years of security incident response in a production-cloud environment Subject-matter expert on security issues and technologies Ability to utilize AI for comprehensive, complex security incident response activities delivering high fidelity detections Advanced knowledge of service-oriented architectures, as well as experience with security tools and technologies fit for a cloud environment Experience working across a technology stack on difficult security challenges and initiatives Experience with SIEM platforms and the ability to extend their functionality Experience with SOAR tools and automating manual security processes Experience in either AWS, GCP, or other large cloud platform Excellent written and verbal communication skills Ability to influence and build effective working relationships with every level of the organization. Desired: AI Model Security & Posture Management: Support Implementation of  controls and safeguards to prevent AI vulnerabilities, such as prompt injections, model evasion, and data poisoning AI-Driven Threat Response: Utilize GenAI and LLM-based security use cases to rapidly interpret alerts, reduce false positives, and contextualize threat data Artifact & Evidence Triage: Collects intrusion artifacts and forensically sound images to analyze malware, trojans, and source code. Threat Intelligence Integration: Monitors external vendor data and threat intelligence to analyze trends and proactively defend against emerging risks. Location This role will be remote, and based in Ireland or U.K. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. 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: 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 Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function. You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable. This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority. We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job. Key responsibilities Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap Minimum qualifications Hands-on application and infrastructure security experience, including cloud and containerized environments Demonstrated ability to rapidly assess an unfamiliar codebase or architecture and produce a clear, prioritized risk assessment for a non-security audience Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems Comfort operating with high autonomy, ambiguity, and tightly-held confidential context Clear written and verbal communication across varied audiences — executives, legal and corporate development partners, and engineering counterparts at an acquired company Preferred qualifications 7+ years in application security, security consulting, or security architecture Prior M&A security due diligence, third-party security assessment, or technical due diligence experience Experience standing up or scaling SAST/DAST, bug bounty, or vulnerability management coverage across multiple codebases Track record of building security automation or tooling rather than relying solely on manual review Familiarity with using LLMs as a core part of your security workflow Experience securing agentic, code-execution, or LLM-integrated systems Representative projects Point Anthropic's internal LLM-driven code analysis and AI-assisted scanning at an acquired repository nobody here has seen, and turn the output into a prioritized remediation plan in days rather than weeks Design the risk-scoring framework Anthropic uses to compare security posture across acquisitions of different shapes and sizes Build the automation that onboards an acquired codebase to Anthropic's vulnerability dashboard, dependency auto-patching, and bounty scope without a human running a checklist Write the security risk memo for a live deal and present it to corporate development and security leadership 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: $320,000 — $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: Remote (Peru) At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. This is a senior-level position with the opportunity to work remotely in Peru. Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes. You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline. You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales. You have an interest in and a curiosity about data platforms and the latest advances in data technology. What you will be doing Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles. Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs. Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in. Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products. Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse. Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions. Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise. Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals. Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought. Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences. Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work. Why you should apply You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time. You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile. You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company. What you bring to the table 5-8+ years of data engineering experience with at least 4 years in production Databricks environments, preferably in a consulting or client delivery context. Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus. Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes. Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale. Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles. Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code. Understanding of data modeling, schema design, and query optimization. Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders. Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions. Above-average discipline and personal organization skills. Obvious comfort with critique and peer review in the context of an iterative development process. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of data engineering. Bonus points if you… Have worked with real-time streaming technologies (Kafka, Kinesis, etc.). Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus. Have experience in healthcare or fintech domains. Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines. Have experience with Java, Go, or Scala. Have strong illustration skills for technical diagramming and data architecture documentation. Speak, write, and/or educate publicly about data engineering topics. Have contributed to open-source data projects. Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals. Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.

Location: Hamburg adjoe is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. At the same time, we’re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Backed by a $100 million investment from Bertelsmann and operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us. Where Adtech Innovation Becomes a Story Worth Telling The Marketing team hosts the storytellers of adjoe’s innovation. We turn complex adtech solutions – rooted in data and strategy – into compelling stories that resonate across the mobile advertising industry and beyond. Through our events, visual design, and strategic content, we take adjoe’s vision at the intersection of technology, user engagement, and marketing and make it tangible. All while building a community of forward-thinking industry leaders around our brand. Your Mission & Who We Are Looking For: - Enterprise GTM Architecture: You will architect and execute our global, enterprise-ready go-to-market (GTM) strategy across the Americas, EMEA, and APAC. We need someone who has guided at least two previous Tech or SaaS companies through the lifecycle journey from Start-up to Scale-up and Maturity, specifically navigating scale within the $500M to $5B range. - Lean, Multi-Disciplinary Leadership: You will direct and develop a high-performing, agile team of approximately 20 professionals across Growth Marketing, Product Marketing, Regional Marketing, Events, Content Writing, and Graphic Design. Instead of managing large, siloed departments, you will foster a culture of ownership and stay close to both the high-level strategy and the people executing it. - Commercial & Product Alignment: You will bridge the gap between product innovation and commercial execution to ensure our positioning captures and retains high-value enterprise accounts. This means translating complex technical capabilities into clear, value-driven narratives that align global product strategy with commercial sales enablement. - Global & Regional Collaboration: You will serve as a strategic partner to Product, Sales, and Regional Leadership to drive localized demand generation while maintaining consistent brand messaging. You must bring deep experience in B2B enterprise marketing, account-based marketing (ABM), and international localization across the Americas, EMEA, and APAC. - US Ecosystem Expertise: You will optimize our positioning and distribution to generate enterprise demand by leveraging a strong familiarity with the American technology ecosystem and buyer psychology. Your understanding of enterprise SaaS and AdTech marketing playbooks will directly drive our up-market transformation. - Data-Driven Brand Optimization: You will establish clear data frameworks to measure brand sentiment, pipeline contribution, and the ROI of global marketing initiatives. This requires an equal comfort level analyzing pipeline data, CAC, and LTV metrics as you have guiding brand positioning and creative storytelling. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, we are not just managing campaigns, we're helping build the business engine behind one of the fastest-growing adtech platforms in mobile. We are proactively curious: we question status quo, think outside the box, connect the dots. The partnerships you close, the strategies you execute, and the markets you develop will directly shape how adjoe scales globally. - Go Big. Own commercial initiatives that move revenue and expand adjoe's market position. - Move Fast. Operate in a high-velocity environment where decisions are made quickly and impact is visible immediately. - Be Direct. Work in a culture where feedback is honest, collaboration is real, and politics are low. - Thrive Together. Grow alongside a diverse, global team of 250+ people from over 40 countries across 7 offices. - Have Fun. Celebrate wins, build lasting industry relationships, and bring your energy to a team that genuinely enjoys what they do. We welcome applications from people who will contribute to the diversity of our company.