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Location: San Francisco; New York City Workplace: Hybrid About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role 💭 We’re looking for a commercially minded, AI-native BDR who enjoys understanding what technical teams are building and finding thoughtful ways to start conversations with them. You’ll combine account research, AI-assisted prospecting and engagement with the startup community to create qualified opportunities for our sales team. This is a hands-on outbound role: researching accounts, reaching out, following up and qualifying prospects are central to the job. Responsibilities ✔️ - Creative Outbound Prospecting: Generate new leads through targeted outbound activities, including cold calls, emails, LinkedIn outreach, events and other channels. We are looking for resourcefulness and innovation crafting new outbound strategies. - AI-Powered Workflows: Build and improve lightweight AI-assisted workflows for account research, identifying relevant buying signals and preparing outreach. Validate sources, review messages before sending and use results to refine your approach. The goal is more relevant conversations and qualified opportunities, not automation or message volume for its own sake. - Account Research: Research and identify key prospects, decision-makers, and stakeholders within target accounts to tailor your outreach efforts. Understand what a company is actually building — their stack, their auth setup, their scaling problems. - Lead Qualification: Engage with prospects to understand their pain points, business needs, and how WorkOS can help solve their challenges, qualifying them for the sales team. - Pipeline Development: Set up high-quality meetings and demos for Account Executives by nurturing leads through the sales funnel. - CRM Hygiene: Diligently log all prospecting activities, conversations, and pipeline data in Salesforce (or other CRM systems) to maintain accurate records and forecast pipeline health. - Metrics-Driven: Meet and exceed monthly quotas for outbound activities, including the number of meetings set, emails sent, calls made, and qualified opportunities created. - Continuous Learning: Stay up-to-date on industry trends, WorkOS product developments, competitor offerings, and what's changing in AI and developer tooling — so you can position yourself as a trusted advisor to technical buyers. Qualifications 🌟 - Experience: You have experience creating opportunities for a product, business or community. That could come from sales development, growth, partnerships, community building, a startup or your own project. A BDR title isn’t required, but you should be able to explain how you identified an audience, earned their attention, followed up and turned interest into a meaningful next step. - Target Personas: Experience outbounding to cofounders and CTOs. - AI-Native: You have personally built or materially improved an AI-assisted workflow and used it in practice. You can explain the problem, how the workflow works, what you contributed and how you checked its output. You know where automation helps and where human judgment is essential, and can describe what improved or what you changed when it failed. - Community Engagement: You actively engage with startup or technical communities and can share how you have contributed, learned from others or built useful relationships. This might happen through your work, online discussions, events, customer communities or a project. We value curiosity, consistent contribution and thoughtful follow-through, not the size of your network or who you know. - Writing Skills: Able to independently craft messages and campaigns to technical leaders. You use AI to draft and scale, but you have the judgment to know when the output isn't good enough to send. - Communication Skills: Excellent verbal and written communication skills, with the ability to craft personalized messages that resonate with different audiences. - Technical Aptitude: Comfort with understanding technical products and effectively communicating the value of WorkOS to both technical and non-technical stakeholders. Bonus if you can read API docs, poke at a codebase, or have shipped something yourself. - Tools: Experience with a modern sales stack and AI tools. Examples include Salesforce, Gong, Loom, Outreach, Claude, ChatGPT and Clay; experience with these specific tools is not required. - Curiosity & Adaptability: Willingness to learn, adapt quickly to new strategies, and stay curious about the industry and your prospects' needs. - Self-Starter: Highly motivated, self-sufficient, and able to manage your time effectively. - You are located in the greater San Francisco Bay Area, able to work locally, available for in-person meetings with clients and customers, and able to attend in-person events as needed. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE 💭 The Platform team builds the shared backend components and development systems that every WorkOS product, workflow, and team member depends on. On the platform side, we build common backend capabilities used across WorkOS, including our events infrastructure, webhooks, email delivery, outbox-pattern queues, and more. These systems allow product teams to scale without rebuilding the same critical primitives. Because they sit on critical paths across our products, scalability, latency, consistency, reliability, and operational simplicity matter deeply. On the productivity side, we build the systems that take code from an idea to production, including CI/CD, build and test infrastructure, deployment workflows, and internal tooling. As agents play a larger role in software development and increase the volume of code and concurrent changes, we are rethinking this platform to scale with that volume through safe execution, fast feedback, relevant context, and verifiable outcomes. Our internal teams are our customers. Success means they can build and operate products faster, adopt shared capabilities instead of creating one-off solutions, and confidently delegate more work to agents. WHAT YOU’LL WORK ON ✔️ - Design, build, and operate high-throughput, low-latency shared backend systems that preserve consistency and durability through retries, duplicates, reordering, partial failures, and high concurrency - Create platform interfaces, abstractions, and paved paths with a clean developer experience that makes shared capabilities easy for product teams to adopt - Rotate across and embed with product teams to experience their workflows directly, understand their friction, and use those insights to shape platform investments - Map evolving product-team needs and collaborate with the Foundations team to introduce new systems and primitives, such as scalable search, database partitioning, and archival strategies - Own and evolve our CI/CD, build, test, deployment, and release infrastructure to shorten feedback loops and make production changes safer - Reimagine CI/CD for an agentic software development lifecycle by building isolated, reproducible, and verifiable execution environments, along with automated loops that allow agents to diagnose failures, update changes, rerun validation, and safely move work through review, deployment, and production verification - Instrument the entire software development lifecycle and use metrics such as feedback time, CI reliability, deployment frequency, lead time, and change failure rate to identify bottlenecks and verify that platform investments improve engineering outcomes - Own platform reliability end to end, including observability, capacity planning, incident response, root-cause analysis, and prevention - Shape the long-term platform strategy with a high bar for introducing new infrastructure. Thoroughly evaluate vendors and existing solutions, make deliberate build-versus-buy decisions, and account for operational complexity, lock-in, migration cost, reversibility, and long-term ownership WHAT WE’RE LOOKING FOR 🌟 - 8+ years of software development experience, with a track record of owning high-impact technical projects - Experience building and operating distributed systems or platform services at scale, with a strong understanding of event-driven systems, queues, concurrency, idempotency, consistency, backpressure, retries, and failure recovery - Experience building or operating CI/CD, build systems, test infrastructure, deployment platforms, or similar developer tooling - A track record of designing platforms, frameworks, and tooling with a clean developer experience that makes complex capabilities easy for other engineers to adopt and operate - Strong operational instincts across observability, capacity planning, incident response, and reliability - Hands-on experience with AI coding agents, or a strong interest in building agentic CI/CD systems, verifiable execution environments, automated feedback loops, evaluations, and verification - Exceptional pragmatism and technical judgment. You treat major infrastructure changes with the gravity they deserve and make deliberate, evidence-based decisions about when to build, buy, or improve an existing system - Ability to move between long-term architecture and hands-on implementation while making thoughtful tradeoffs in an ambiguous environment - Strong written and verbal communication skills, including experience documenting systems and influencing technical direction across teams - Familiarity with TypeScript, Node.js, React, Postgres, AWS, Terraform, and queueing or streaming systems such as SQS and Kinesis is helpful, but not required We expect strong depth in either distributed platform systems or developer infrastructure, along with an interest in working across both. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats. We are particularly interested in candidates with deep expertise in either chemical defense or biodefense. You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm. Your specialized domain expertise will be critical to protecting against some of the most serious potential misuses of AI systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes You may be a good fit if you Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with threat actor profiling and utilizing threat intelligence frameworks Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership Strong candidates may also have Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information Background in AI safety, machine learning security, or technology abuse investigation Familiarity with synthetic biology, biotechnology, or dual-use research Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance 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: $230,000 — $290,000 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; 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 We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices You may be a good fit if you Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with large language models and understanding of how AI technology could be misused for cyber threats Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.) Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience working with government agencies or in regulated environments Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance Deadline to apply None. Applications will be reviewed on a rolling basis. 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: $230,000 — $290,000 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 We are looking for research engineers to build the safety and oversight mechanisms that govern how our models handle biological knowledge. As a bio safety researcher, you will spend your time: designing and running capability evaluations against frontier models, generating and curating training data for our safety classifiers, training and iterating on those classifiers alongside our ML engineers, and measuring how they hold up against adversarial pressure in production traffic. This work sits at the intersection of applied ML and biosecurity. You will help define what responsible AI safety looks like in the biological domain, translating threat models into evals, datasets, and deployed systems. The core technical tension you will own is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and you will be the person measuring it. You do not need to be an ML researcher today. We are looking for strong scientific programmers with real depth in modern biology who want to bring that depth to bear on model evaluation and classifier development. Key responsibilities Design, build, and run capability evaluations to assess what new models can do in the biological domain, and turn results into concrete deployment recommendations Develop training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Train, tune, and iterate on safety classifiers with ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Build the tooling and pipelines that make evaluation and classifier development fast and repeatable Analyze classifier and eval performance against production traffic, identify gaps, and prioritize improvements Design and run red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, and Policy teams to embed biological safety throughout the model development lifecycle Contribute to external communications including model cards, blog posts, and policy documents Track developments in biology, ML, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Strong proficiency in Python, and extensive background in scientific programming and data analysis skills Excellent grasp of ML fundamentals and an ability to rapidly adopt ML development practices Excellent knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Ability to build and maintain your own tooling rather than relying on others to implement your ideas Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Strong analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Can work independently while maintaining strong collaboration with cross-functional teams Are results-oriented, with a bias towards flexibility and impact Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration Preferred qualifications Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Have at least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience leading complex technical projects across multiple stakeholder groups 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: $300,000 — $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: Riyadh, Saudi Arabia Müller's Solutions is looking for a creative and passionate Instructional Designer to join our team. In this role, you will play a key part in developing engaging and effective learning experiences that meet the needs of our clients and learners. You will collaborate closely with subject matter experts, project managers, and multimedia teams to design and implement instructional materials for various delivery methods, including e-learning, instructor-led training, and blended learning solutions. Key Responsibilities: Analyze learner needs and objectives to design instructional materials that enhance knowledge retention and application. Develop scripts, storyboards, and prototypes for e-learning courses and training programs. Create engaging multimedia content, including visuals, animations, and interactive elements, to support learning objectives. Evaluate and assess the effectiveness of instructional materials through feedback and data analysis. Collaborate with team members to implement best practices in instructional design and educational technology. Ensure that all materials are accessible and inclusive, accommodating diverse learner needs. Stay updated on the latest trends and advancements in instructional design, technologies, and adult learning theories. Requirements Requirements: Bachelor’s degree in Instructional Design, Education, Educational Technology, or a related field; Master’s degree preferred. 3+ years of experience in instructional design, preferably within a corporate training or e-learning context. Strong understanding of instructional design principles, adult learning theories, and best practices. Proficiency in e-learning authoring tools such as Articulate Storyline, Adobe Captivate, or similar. Experience with Learning Management Systems (LMS) and familiarity with SCORM/AICC standards. Strong written and verbal communication skills with the ability to present ideas clearly and effectively. Creative mindset with a passion for developing innovative learning experiences. Excellent organizational skills and ability to manage multiple projects simultaneously. Knowledge of graphic design tools (e.g., Adobe Creative Suite) is a plus. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Riyadh, Saudi Arabia Müller's Solutions is on the lookout for a detail-oriented E-Learning Quality Assurance Specialist to join our dynamic team. In this vital role, you will be instrumental in ensuring the quality and effectiveness of our e-learning products, helping to create engaging and impactful learning experiences. Collaborating closely with our instructional designers, developers, and subject matter experts, you will evaluate the usability, functionality, and overall quality of our e-learning content. Key Responsibilities: Thoroughly review e-learning modules for accuracy and alignment with established learning objectives. Conduct usability testing and provide feedback on the learner experience, ensuring it is intuitive and seamless. Identify, document, and track defects or inconsistencies in e-learning content. Work alongside instructional designers to improve content based on testing and feedback. Perform compatibility checks across various devices, browsers, and learning management systems (LMS). Establish and maintain quality assurance standards and protocols for e-learning development. Offer training and support to team members regarding quality assurance processes. Stay updated on the latest trends in e-learning and quality assurance methodologies. Requirements Requirements: Bachelor’s degree in Education, Instructional Design, Computer Science, or a related area. At least 3 years of experience in quality assurance or testing within the e-learning or digital education sector. Proficiency with e-learning authoring tools such as Articulate Storyline or Adobe Captivate. Experience with learning management systems (LMS) and familiarity with SCORM/AICC standards. Strong knowledge of instructional design principles and adult learning strategies. Exceptional analytical skills and attention to detail. Outstanding communication and collaboration skills to work effectively in a team environment. Ability to manage multiple projects and prioritize tasks in a fast-paced setting. Experience with user experience (UX) testing is an added advantage. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking an E-Learning Quality Assurance Specialist to ensure that our e-learning products meet the highest quality standards. In this role, you will play a vital part in the development and delivery of engaging and effective online learning experiences. You will work closely with instructional designers, developers, and subject matter experts to assess the functionality, usability, and overall effectiveness of e-learning modules. Key Responsibilities: Review and analyze e-learning content for accuracy, relevance, and alignment with learning objectives. Conduct thorough usability testing to ensure that learner interactions are intuitive and user-friendly. Identify and document defects, inconsistencies, and areas for improvement in e-learning modules. Collaborate with instructional designers to refine course content based on feedback and testing results. Perform compatibility testing across multiple devices, browsers, and learning management systems (LMS). Develop and maintain quality assurance standards, guidelines, and testing protocols specific to e-learning. Provide training and support to team members on quality assurance processes and best practices. Stay current with trends and best practices in e-learning and quality assurance techniques. Requirements Requirements: Bachelor’s degree in Education, Instructional Design, Computer Science, or a related field. Minimum of 3 years of experience in quality assurance and testing of e-learning products or digital education platforms. Familiarity with e-learning authoring tools such as Articulate Storyline, Adobe Captivate, or similar tools. Experience with learning management systems (LMS) and SCORM/AICC compliance. Strong understanding of instructional design principles and adult learning theories. Excellent analytical and problem-solving skills with keen attention to detail. Strong communication and interpersonal skills to effectively collaborate with diverse teams. Ability to work independently and prioritize multiple projects in a fast-paced environment. Experience with usability testing and user experience (UX) design is a plus.

Location: Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Jeddah, Saudi Arabia The Design Engineering Manager will lead and manage multidisciplinary engineering design activities for petrochemical and oil & gas projects, with a strong focus on oil and gas separation systems . The role is responsible for overseeing design development across project phases, ensuring compliance with international standards, project specifications, and client requirements, while coordinating with EPC teams and stakeholders. This position is based in China. Key Responsibilities Lead and manage engineering design activities for petrochemical and oil & gas projects. Oversee design of oil & gas separation systems , including process facilities and related units. Manage multidisciplinary engineering teams (process, mechanical, piping, electrical, instrumentation). Review and approve engineering deliverables, calculations, drawings, and technical documents. Ensure engineering designs meet project scope, schedule, quality, and cost objectives. Coordinate with project management, procurement, construction, and commissioning teams. Interface with clients, licensors, vendors, and regulatory authorities. Ensure compliance with international codes, standards, and project specifications. Support technical issue resolution during engineering, procurement, and construction phases. Provide technical leadership, mentoring, and performance management for engineering teams. Educational Qualifications Bachelor’s Degree in Engineering (Mechanical, Chemical, or related discipline). Master’s degree is an advantage. Experience Requirements Minimum 15 years of engineering experience in petrochemical and oil & gas projects. Proven experience in oil & gas separation systems . Minimum 5 years in a Design Engineering Manager or Lead Engineering role . Strong EPC project experience.

Location: Dammam, Saudi Arabia; Al Jubail, Saudi Arabia; Riyadh, Saudi Arabia The Design Engineering Manager will lead and manage multidisciplinary engineering design activities for petrochemical and oil & gas projects, with a strong focus on oil and gas separation systems . The role is responsible for overseeing design development across project phases, ensuring compliance with international standards, project specifications, and client requirements, while coordinating with EPC teams and stakeholders. This position is based in China. Key Responsibilities Lead and manage engineering design activities for petrochemical and oil & gas projects. Oversee design of oil & gas separation systems , including process facilities and related units. Manage multidisciplinary engineering teams (process, mechanical, piping, electrical, instrumentation). Review and approve engineering deliverables, calculations, drawings, and technical documents. Ensure engineering designs meet project scope, schedule, quality, and cost objectives. Coordinate with project management, procurement, construction, and commissioning teams. Interface with clients, licensors, vendors, and regulatory authorities. Ensure compliance with international codes, standards, and project specifications. Support technical issue resolution during engineering, procurement, and construction phases. Provide technical leadership, mentoring, and performance management for engineering teams. Educational Qualifications Bachelor’s Degree in Engineering (Mechanical, Chemical, or related discipline). Master’s degree is an advantage. Experience Requirements Minimum 15 years of engineering experience in petrochemical and oil & gas projects. Proven experience in oil & gas separation systems . Minimum 5 years in a Design Engineering Manager or Lead Engineering role . Strong EPC project experience.

Location: Belgrade Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

Location: Belgrade Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

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 Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We're the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that lets every product team at Anthropic ship into claude.ai safely and fast. When the product grows at hyper scale, we're the team that makes sure it feels the same or better. Beyond the foundation, we're building the agentic layer that turns claude.ai from a chat surface into an execution surface: task execution, personalization, browser use, and server-side tools. This is where the next generation of the product gets built: the primitives that let Claude act in the world, not just respond. We believe reliability and velocity are the same problem, and our job is to build the systems that make both inevitable. Key responsibilities Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services Build state management systems for long-running agent tasks, handling checkpoints, recovery, and resumption across failures Develop authentication and authorization frameworks for delegated access, so Claude can act on behalf of users securely Create observability and debugging tools for agent execution, so we understand what Claude did, why, and how to make it better Partner closely with product and research teams to define what's possible and ship it Minimum qualifications Experience building distributed systems, infrastructure, or platform services at scale Comfort building cloud native infrastructure on GCP, AWS, or Azure Experience with containers, sandboxing, or secure execution environments (e.g., gVisor, Firecracker, V8 isolates) Write clean, maintainable code in Python, Go, Rust, or a similar language Care about security, isolation, and building systems that fail safely Preferred qualifications Comfort with ambiguity and greenfield work where you help shape the architecture Interest in problems that don't have existing playbooks Experience building multi-tenant execution platforms or serverless infrastructure Background in security engineering, sandboxing, or isolation technologies Familiarity with workflow orchestration systems (Temporal, Airflow, Step Functions) Experience with state machines, checkpointing, or durable execution patterns Low-level systems experience (Linux internals, eBPF, container runtimes) 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: Fort Lauderdale, Fl Workplace: hybrid About the Opportunity: IDT’s Retail division is looking for an energetic, hybrid Retail Account Manager (RAM). In this role, you won't just manage a route—you will be a growth partner for small businesses. You will drive revenue by selling our flagship National Retail Solutions (NRS) portfolio—including Point-of-Sale (POS) systems, credit card merchant services, and cash advances—while simultaneously managing and expanding our traditional telecom and financial services products (Boss Revolution) within your territory. This role balances the thrill of direct, consultative sales with the stability of consistent account management. In this role, you will: Drive NRS Product Sales: Prospect, pitch, and close sales for NRS Point-of-Sale (POS) devices, Merchant Services, and Cash Advances to new and existing retail accounts. Manage an Assigned Route: Develop and execute a weekly cycle to visit retail stores on a regular basis, ensuring high customer satisfaction and identifying upsell opportunities. Open New Retail Doors: Actively prospect and go door-to-door to expand IDT and NRS presence in your territory. Onboard & Support Customers: Drive the merchant application process, help store owners understand how to use our services effectively, and provide light troubleshooting/tech support on equipment. Handle Operations & Inventory: Manage sales, cash/payment collections, and telecom card inventory using IDT's accounting system. What we are looking for: Experience: 1–2 years of experience in retail sales, outside sales, or customer-facing roles. Prior exposure to Merchant Services, POS implementation, or route sales is a major plus. Language: Bilingual professionals with fluency in both English and Spanish are highly preferred to support our diverse customer base. Mobility: Must have a valid driver's license, a reliable car, and a willingness to travel door-to-door within your assigned territory daily. Tech Savvy: Comfortable using basic MS Office, CRM tools, tablets, and Bluetooth equipment. Traits: A resilient "people person" with sharp attention to detail, strong presentation skills, and the ability to multitask in a fast-paced entrepreneurial environment. We offer you: Competitive Base Salary + uncapped commission structure. Comprehensive mileage and gas reimbursement program. Paid on-the-job training on both NRS tech products and IDT telecom services. Excellent benefits package (Medical, Dental, Vision, Life Insurance, 401k with employer match, and PTO). At IDT, we understand the challenge of being apart from those who matter most. Communicating, transferring money, and mobile phone service must be safe, simple, and affordable. Our flagship brand, Boss Revolution, which includes our International Calling, Mobile Top Up, and Money Transfer services, as well as our Boss Revolution Mobile, net2phone, National Retail Solutions, IDT Express, and IDT Carrier Services divisions all, support IDT’s mission of enabling our customers to keep in touch and share resources with their friends and family around the world.   IDT is listed on the NYSE, employs over 1800 people across 20+ countries, and has revenues in excess of $1.5 billion. Since 1990, IDT Telecom has remained a pioneer in Prepaid VoIP and UCaaS telephony. Today, we are an industry leader in prepaid communication and payment services and are one of the world's largest international voice carriers.   Our National Retail Solutions brand provides a sales management system and POS equipment for small and medium-sized businesses. With the help of NRS, business owners can address a management problem: the product integrates advertising, data analysis, and payment processing. Company: IDT Corporation / National Retail Solutions (NRS) Location: [Insert Territory/Location] Compensation: Competitive Base Salary + Commissions + Mileage/Gas Reimbursement & Full Benefits

Location: West Palm Beach, Florida Area Workplace: hybrid About the Opportunity: IDT’s Retail division is looking for an energetic, hybrid Retail Account Manager (RAM). In this role, you won't just manage a route—you will be a growth partner for small businesses. You will drive revenue by selling our flagship National Retail Solutions (NRS) portfolio—including Point-of-Sale (POS) systems, credit card merchant services, and cash advances—while simultaneously managing and expanding our traditional telecom and financial services products (Boss Revolution) within your territory. This role balances the thrill of direct, consultative sales with the stability of consistent account management. In this role, you will: Drive NRS Product Sales: Prospect, pitch, and close sales for NRS Point-of-Sale (POS) devices, Merchant Services, and Cash Advances to new and existing retail accounts. Manage an Assigned Route: Develop and execute a weekly cycle to visit retail stores on a regular basis, ensuring high customer satisfaction and identifying upsell opportunities. Open New Retail Doors: Actively prospect and go door-to-door to expand IDT and NRS presence in your territory. Onboard & Support Customers: Drive the merchant application process, help store owners understand how to use our services effectively, and provide light troubleshooting/tech support on equipment. Handle Operations & Inventory: Manage sales, cash/payment collections, and telecom card inventory using IDT's accounting system. What we are looking for: Experience: 1–2 years of experience in retail sales, outside sales, or customer-facing roles. Prior exposure to Merchant Services, POS implementation, or route sales is a major plus. Language: Bilingual professionals with fluency in both English and Spanish are highly preferred to support our diverse customer base. Mobility: Must have a valid driver's license, a reliable car, and a willingness to travel door-to-door within your assigned territory daily. Tech Savvy: Comfortable using basic MS Office, CRM tools, tablets, and Bluetooth equipment. Traits: A resilient "people person" with sharp attention to detail, strong presentation skills, and the ability to multitask in a fast-paced entrepreneurial environment. We offer you: Competitive Base Salary + uncapped commission structure. Comprehensive mileage and gas reimbursement program. Paid on-the-job training on both NRS tech products and IDT telecom services. Excellent benefits package (Medical, Dental, Vision, Life Insurance, 401k with employer match, and PTO). At IDT, we understand the challenge of being apart from those who matter most. Communicating, transferring money, and mobile phone service must be safe, simple, and affordable. Our flagship brand, Boss Revolution, which includes our International Calling, Mobile Top Up, and Money Transfer services, as well as our Boss Revolution Mobile, net2phone, National Retail Solutions, IDT Express, and IDT Carrier Services divisions all, support IDT’s mission of enabling our customers to keep in touch and share resources with their friends and family around the world.   IDT is listed on the NYSE, employs over 1800 people across 20+ countries, and has revenues in excess of $1.5 billion. Since 1990, IDT Telecom has remained a pioneer in Prepaid VoIP and UCaaS telephony. Today, we are an industry leader in prepaid communication and payment services and are one of the world's largest international voice carriers.   Our National Retail Solutions brand provides a sales management system and POS equipment for small and medium-sized businesses. With the help of NRS, business owners can address a management problem: the product integrates advertising, data analysis, and payment processing. Company: IDT Corporation / National Retail Solutions (NRS) Location: [Insert Territory/Location] Compensation: Competitive Base Salary + Commissions + Mileage/Gas Reimbursement & Full Benefits

Location: Remote The role We’re hiring a senior, hands-on Product Manager to join WooCommerce Payments and take ownership of a defined area within our payments products and partner integrations. You’ll collaborate closely with the Head of Product, and work day-to-day with engineering, design, support, and partnerships. This role is deeply executional. You’ll spend much of your time in the work: in Linear writing and refining issues, triaging bugs and incidents, reviewing and shaping flows in Figma, creating lightweight prototypes, and writing briefs or PRDs when they’re needed. Payments at WooCommerce run at a serious scale—billions in total payment volume—and the quality of this experience directly affects merchant revenue, shopper conversion, and the success of Woo’s commercial engine. This role sits right where reliability, trust, and execution matter most. What you’ll work on Own product direction and execution for a key part of the payments product area, with clear goals, priorities, and measurable outcomes. Improve merchant and shopper experiences across onboarding, checkout, refunds and disputes, payouts, reporting, and overall reliability. Raise the quality bar by reducing failures and friction, lowering support volume, and improving product ratings and merchant trust. Use data, support signals, and merchant feedback to decide what to work on next, define success measures, and make tradeoffs explicit. Work closely with priority payments partners (including Stripe and PayPal) to improve integrations, ship changes, manage dependencies, and resolve issues. Keep stakeholders aligned through clear, direct writing and communication about progress, risks, and decisions. What we’re looking for 7+ years in product roles, with senior IC experience owning complex problem spaces and influencing cross-functional teams through clarity of communication and precision of execution. 4+ years in payments or fintech, ideally on products operating at scale; experience with large or global launches is a plus. Strong product judgment. You can make good calls in messy situations and don’t need perfect information to move forward. Comfort working on critical, high-trust systems where reliability matters and small changes can have outsized impact. Ability to work deeply with engineers and designers on complex problems, including technical constraints and tradeoffs. Strong analytical habits and a practical approach to metrics, dashboards, and instrumentation. Clear written and verbal communication in a distributed, async environment. Familiarity with WooCommerce, WordPress , or open-source ecosystems is a plus. Salary range: $170,000-$240,000 USD. Please note that salary ranges are global, regardless of location, and we pay in local currency. We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated. We’re pleased to offer a straightforward, competitive base salary, providing financial clarity without complex variable components. This isn’t your typical work-from-home job: we are a fully-remote company with an open vacation policy. To see a full list of benefits by country, consult our Benefits Page . And check out these links to learn more about How We Hire and What We Expect from Ourselves . #LI-Remote About Automattic Now in our 20th year , we’re the people behind WordPress.com , WooCommerce , Beeper , Tumblr , Simplenote , Jetpack , Longreads , Day One , PocketCasts , and more. We believe in making the web a better place. We’re a distributed company with more than 1500 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we’re united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source. In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world. We believe in Open Source , and the vast majority of our work is available under the GPL . Automattic is a Most Loved Company , an Equal Opportunity employer, and Disability Confident Committed . ( Here’s what that might mean for you .) If you need accommodations during the application or interview process, please fill out this form . We are committed to ensuring an accessible hiring process for all candidates. Learn more about our Employee Resource Groups . You can track your application status and more at MyGreenhouse . To learn about how we handle your data, please review our Job Applicant & Candidate Privacy Notice and our Privacy Policy . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the “Know Your Rights: Workplace Discrimination is Illegal” poster here . Automattic participates in the E-Verify program in certain locations, as required by law .

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Software Engineer at OnePay, your work will build the products & systems that serve our customers and run our company. You will play a crucial role in translating product visions into functional, high-quality applications and features. You will work closely with product managers, designers, and other engineers to deliver impactful solutions that enhance our customer's financial lives. You will: - Develop and implement new features, API's, and products. - Work closely with other engineers to ship code. We enjoy collaboration and partnering on hard problems.  - Architect and designing highly scalable and reliable products. - Building and maintaining documentation. As a growing and remote organization, having the necessary documentation is key to our success.  - Solve complex problems that arise at scale. We deal with real-world money movement and sensitive financial data at scale and are creating novel financial mechanics with no real precedent. YOU BRING - 5+ years of professional experience in product-facing backend development. - Strong track record of delivering high-impact features and products. - Experience building, maintaining, and optimizing API's. - Curiosity and passion for emerging AI tooling, with practical experience incorporating tools such as Cursor, GitHub Copilot, and Claude into real-world execution. - Drive and proactivity - everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Kyiv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем.   Ми шукаємо нового гравця до Video Devices підрозділу на роль RF Engineer із розумінням принципів радіочастотного дизайну та інтеграції.   Video Devices підрозділ здійснює повний цикл розробки відеопристроїв Ajax, покриваючи усі етапи від створення концепту ідеї до запуску в серійне виробництво та подальшого масштабування. Команда фокусується на створенні комплексного продукту, що поєднує в собі механічне проєктування, розробку апаратної частини та інтеграцію низькорівневого програмного забезпечення для стабільної роботи систем у реальному часі. Процес розробки охоплює глибоку експертизу в оптиці, роботі з якістю зображення, вбудованих системах (embedded), Wi-Fi та мережевих технологіях, а також аудіо-тюнінгу. Дивізіон забезпечує повну вертикальну інтеграцію всіх компонентів пристрою, створюючи технологічно повноцінні рішення, що відповідають стандартам надійності екосистеми та вимогам глобального промислового виробництва. Вимоги: Досвід роботи: Мінімум 3+ роки на посаді RF-інженера або в суміжній галузі розробки бездротових систем. Multi-band Systems: Практичний досвід участі в розробці та оптимізації багатодіапазонних систем, що включають комбінації стандартів (наприклад, GSM/LTE, Wi-Fi 2.4/5 ГГц, Bluetooth та Sub-GHz технології, як-от LoRa/Zigbee). Wi-Fi Експертиза: Поглиблений досвід роботи з Wi-Fi стандартами 2.4 ГГц та 5 ГГц ( 802.11 a/b/g/n/ac/ax), включаючи: Дизайн та інтеграція антен: Вибір, розробка (моделювання) та оптимізація вбудованих антен (FPC, PCB, Ceramic). Перевірка та валідація: Тестування антен у безеховій камері (Anechoic Chamber) для оцінки ефективності (Efficiency), коефіцієнта посилення (Gain) та діаграм спрямованості (Pattern). RF-Інструментарій: Впевнене володіння та практичний досвід роботи з професійним ВЧ-обладнанням: Векторний аналізатор кіл (VNA) : для вимірювання S-параметрів (Return Loss, Insertion Loss). Аналізатор спектру (Spectrum Analyzer) : для оцінки параметрів передавача (TX Power, Spectrum Mask, EVM). RF-комунікаційний тестер (наприклад, Anritsu/Keysight) або Noise Figure Meter буде перевагою. CAD/Симуляція: Досвід роботи з потужними програмними комплексами для електромагнітного моделювання та дизайну схем: Keysight ADS, CST Studio, HFSS, або Cadence AWR (Microwave Office). Сертифікація та EMC/EMI: Досвід вирішення проблем Електромагнітної Сумісності (ЕМС) та Інтерференції (EMI) на рівні схеми та трасування. Розуміння вимог та практичний досвід проходження міжнародної сертифікації RED (CE) та FCC. Обов"язки: Інженер буде відповідальний за повний життєвий цикл ВЧ-частини продукту: від концепту до масового виробництва. Дизайн та Моделювання: Розробка, моделювання та фіналізація антен для серійних виробів із застосуванням EM-симуляторів (HFSS, CST). Узгодження та оптимізація ВЧ-трактів (Matching Networks) для мінімізації втрат та досягнення 50 Ом імпедансу. Вибір Компонентів та Оптимізація: Вибір найбільш оптимальних за ВЧ-параметрами та вартістю комплектуючих (RF-чіпсетів, фільтрів, PA, LNA) відповідно до технічного завдання. Підбір готових антенних рішень (модулів) під специфічні проектні вимоги. Тестування та Валідація: Проведення к омплексної перевірки параметрів ВЧ-систем (TX/RX performance) у власній та зовнішніх тестових лабораторіях. Аналіз та усунення причин невідповідності параметрів приймача/передавача вимогам стандартів. EMC/EMI та Сертифікація: Моделювання, верифікація та перевірка ЕМС/ЕМІ складних інтегрованих систем на етапах розробки. Консультація відділу сертифікації щодо ВЧ-вимог стандартів (RED, FCC), опрацювання відповідних нормативних документів та перевірка фінальних протоколів тестування. Підтримка Виробництва: Оптимізація існуючих ВЧ-рішень з метою зменшення Розробка та впровадження методів калібрування та тестування RF-параметрів на етапі масового виробництва Ми пропонуємо: можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво місце у стрімко зростаючій компанії з вмотивованою професійною командою конкурентну заробітну плату медичне страхування корпоративні заняття з англійської мови можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax знижки від компаній-партнерів знижки на продукти компанії. Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.