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Location: Sydney, Australia 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 APAC go-to-market organisation is the fastest-growing part of our international business, spanning markets with distinct languages, cultures and buying styles. Today, enablement for the region is delivered by our global and EMEA teams. As we scale in APAC, we are establishing an initial in-region enablement presence, based in Sydney and supporting the field across the region. As Enablement Lead, you will be hands-on in getting the APAC field ready: onboarding, ongoing skill development, manager coaching support and launch readiness, across GTM functions, not just sales. You will spend most of your time in the room, running sessions, building programmes and working directly with sellers and managers, in the time zones and languages where customer conversations happen. This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to adapt it for APAC, deliver it across the region, and feed what you learn back into the international and global programme. How we work: adults learn by doing, so we build sessions around live activity: practice, reflection, real customer scenarios. The measure is not what was covered in the room. It is what changes a week later in how people think, decide and sell. This takes creativity and a solid understanding of how adults learn, applied at speed. The frontier moves quickly and the field is scaling fast. Much of the work is unlearning: helping experienced sellers let go of pre-AI habits, not just teaching new ones. AI is what makes this scalable: endless practice partners, personalised scenarios from real deals, feedback minutes after a call. You will use it that way, not to generate more content. Key responsibilities Set up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a feedback loop into the global programme Adapt the international portfolio for APAC, where content for several markets needs to be written and translated ahead of delivery Personally design and facilitate deal walkthroughs, role-plays and customer-conversation rehearsal, favouring practice over presentation Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows Own launch readiness for the region, so that when a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else Build the measurement habit: track what the field does differently afterwards, not content shipped or attendance Minimum qualifications 8+ years in GTM enablement, sales productivity or similar roles, including experience leading or running enablement programmes Experience delivering GTM enablement in APAC, ideally across more than one of the region’s markets Experience influencing beyond your own team or region, such as a programme adopted elsewhere or a senior stakeholder whose decision you changed Hands-on track record designing and running practice-first enablement, measured by changes in field behaviour A working understanding of how adults learn, and comfort helping experienced sellers unlearn pre-AI habits Creativity with AI in your craft: personalised practice, real-deal scenarios and fast feedback rather than more content Experience owning programmes end to end, from design through delivery and measurement Experience enabling a field across languages and cultures, and knowing what breaks when English-first content ships as-is Comfort working with sales leaders as a peer, including pipeline reviews, deal inspection and forecast conversations Good judgement on when to adapt global programmes and when to adopt them as-is Strong candidates may also Have held both a global and an APAC enablement role Have run enablement delivered across multiple APAC markets Have helped build or scale an enablement function Have carried a quota or led sellers earlier in their career Have enablement experience in AI, developer platforms or technical products sold to both executives and builders Have built manager or coaching programmes, not just individual-contributor enablement 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: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Staff Product Designer - Location: Espoo, Uusimaa, Finland - Department: Product Management - Reports to: Product Design Director - Employment type: Permanent - Workplace model: Hybrid (3 days / week in office) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: This is the kind of project designers wait years for. You'll be the design lead and hands-on builder on one of the most exciting products we're working on: a largely greenfield space where AI and LLMs meet serious data intelligence and where the problems are genuinely hard, the kind nobody has solved before, because the product itself is new territory. We can't say much more here (some things we build, we keep quiet about) but if the idea of turning cutting-edge intelligence into something people can actually use makes your fingers itch, this is it. You won't inherit a design system or a roadmap but you'll shape both. And you won't do it alone: we're building a world-class design team from a small core and early hires like you set the bar for everyone who comes after. This role is for a builder, an IC who gets their energy from making things, not managing them WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES: - Own design end to end for the product: from fuzzy problem to research to concept to polished, shipped UI. No handoffs, no "that's another team's job." - Get out of the building (or into the ground station). Talk to users regularly, watch how they work and turn what you learn into design decisions everyone can get behind. - Make the complex feel simple. Take AI, LLM and data-heavy workflows and turn them into experiences that feel obvious in hindsight. - Prototype fast and often. Test ideas with real users and real data before we commit engineering time and kill your darlings when the evidence says so. - Work elbow to elbow with engineers, data scientists and product. You're in the room when problems get framed, not just when screens get requested. - Set the design foundations. As one of the first designers on this product, you'll shape the patterns, quality bar and ways of working that everyone after you builds on. - Push the craft. Sweat the details, raise the bar on every release and give (and take) sharp design feedback. WHAT WE’RE LOOKING FOR MUST HAVES: - Your craft is genuinely top-tier and your portfolio proves it. Sharp UX thinking, beautiful execution, obsessive attention to detail. We'll look closely so bring work you're proud of down to the last pixel. - You've designed for data products, ML or AI, and you have opinions about it. You know what makes these experiences tricky and you've wrestled with at least some of it in real work. - You've shipped design work that actually changed something. Adoption went up, churn went down, customers stopped swearing at the product. You can tell us what happened after you hit publish, ideally with numbers. - You're a bit obsessed with users. Nobody has to send you to talk to customers; you're already there, asking awkward questions and coming back with your assumptions rearranged. - You get a kick out of messy, ambiguous problems. There's no playbook here, half the time nobody knows what the answer is yet, and that's exactly where you do your best work. - You own your stuff. The wins, sure, but also the faceplants. You'll tell us what went sideways, what you learned and what you'd do differently, without us having to drag it out of you. - You make things happen without being asked. No design ops, no ticket queue, no waiting for permission. You spot what's needed, rally the right people, and ship. NICE TO HAVES: - You've designed in a properly technical environment, elbow to elbow with engineers or scientists, on systems with real complexity under the hood. - Satellites genuinely excite you. If you've ever fallen down a Wikipedia rabbit hole about Earth observation at 1am, we should talk. APPLICATION PROCESS: - Recruiter screen - Hiring Manager Interview - Portfolio Review - Assignment + Panel interview - CPO interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Mumbai, India 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 Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Ability to work effectively across cultures and time zones as part of a global team 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: İstanbul Office Workplace: Remote OUR STORY Pointr is the market leader in Indoor Mapping, Location and Analytics, and the inventor of AI-based map production. Its innovative (20+ patents) Pointr Maps™ platform is used by millions of users across offices, retail locations, airports, hospitals, and more every month. As the top choice of Fortune 100 customers and billions of sqft. deployed globally (30+ countries), Pointr is always on the lookout for great team members to support its fast growth. Our core values are Ownership, Harmony, and Scale, and we look for Passionate, Kind, and No-Ego team members to join the team. ROLE OVERVIEW We're looking for a Sr. R&D Engineer to join the Location team and improve the positioning engine behind Pointr's blue dot offering, used in airports, hospitals, and corporate campuses. The engine turns noisy real-world sensor data into a reliable location estimate, indoors and outdoors. It runs primarily on iOS and Android, with the shared C++ core also supporting WebAssembly and backend services. You will take algorithm improvements from research through implementation, validation on real venue data, and release. The work spans probabilistic estimation, sensor fusion, and applied geometry, including the native mobile scanning code that supplies the engine's measurements. You'll join a small, senior team with ownership over technical decisions and a short path from experiments to customer deployments. WHAT YOU'LL DO - Improve the accuracy, responsiveness, and robustness of Pointr's indoor-outdoor positioning algorithms across a wide range of venue types, devices, and real-world conditions. - Research, develop, and evaluate positioning algorithms, spanning classical estimation and machine learning approaches, and measure whether they improve results on real venue data. - Research and investigate emerging positioning technologies. Some work involves development kits, reference hardware, and measurement setups for capabilities not yet available on shipping phones. - Build and use offline replay, accuracy regression suites, and simulation tools to measure improvements. Validate on real iOS and Android devices, where sensor behavior and runtime constraints can differ from desktop results. - Develop production code in the shared C++ engine and the native iOS and Android sensor and radio scanning layers, with attention to performance, memory use, thread safety, and test coverage. - Turn field issues, such as suboptimal hardware deployments or unexpected sensor behavior, into reproducible test cases and engine improvements. - Use AI coding agents daily for research and development, and take responsibility for reviewing and validating their output. - Shape technical decisions through experiments and code review. Document the reasoning behind your work and contribute invention disclosures where warranted. WHAT SUCCESS LOOKS LIKE - First 90 days: independently run and interpret the accuracy measurement tools, and ship your first engine improvement with tests and on-device validation. - 6 months: own a significant area of the engine, deliver measurable positioning improvements, and diagnose field issues from customer venues. - 12 months: set technical direction and measurement standards for your area, with improvements deployed at customer scale. Help the team develop and validate algorithms more effectively through reviews and better tooling. WHAT WE SEEK - 6+ years of professional software engineering experience, including performance-sensitive production code. Depth in algorithms and estimation matters more than your current programming language; prior C++ experience is preferred, not required. - Strong grounding in probabilistic state estimation and sensor fusion, including recursive Bayesian filtering and particle-based methods, with the judgment to choose an approach suited to the problem. - Solid applied mathematics, including linear algebra, probability, numerical methods, and geometry. You can distinguish model limitations from data quality problems. - Experience working with noisy, real-world sensor time series: reproducing issues from recorded traces, isolating causes, and validating changes with measurable results and automated tests. - Daily use of AI coding agents and a basic understanding of how they work, including context windows, tool use, prompting, instruction files, and common failure modes. You can direct agents effectively and critically review their output. - Working knowledge of iOS or Android development, enough to build and debug on real devices and modify native platform code. - Comfort with native development tools, including build systems, Git, compilers, sanitizers, and profilers, and with cross-platform constraints. - Clear technical communication with engineers and non-engineers, and a collaborative approach to technical disagreements and code review. - Professional fluency in English, both written and spoken. PREFERRED QUALIFICATIONS - Experience in indoor positioning, GNSS, robotics, SLAM, pedestrian dead reckoning, or RF signal processing. - Hands-on experience with Claude Code or OpenAI Codex; other AI coding agents also qualify. Experience building agent tools or integrations is a plus. - Experience with modern C++, Swift, or Kotlin, or shipping a shared native core in iOS and Android apps. - Familiarity with mobile constraints that affect positioning, including background execution, sensor and radio scanning APIs, power budgets, and device differences. - Knowledge of ranging and positioning methods used with radio technologies such as BLE, UWB, or Wi-Fi. - Experience with computational geometry, geospatial data, or map processing. Wayfinding and graph algorithms are useful secondary skills. - Experience applying machine learning to motion or signal models, with evidence that it improves on classical estimation methods. - Experience building simulation or visualization tools for algorithm development. - An MS or PhD in a relevant field, research publications, or equivalent demonstrated depth in positioning, estimation, or spatial algorithms. WHAT WE OFFER - A supportive, kind (no-ego), and smart team - International environment and inclusive culture - Competitive base salary and stock options, based on experience and market - Private supplementary health insurance, in addition to statutory SGK coverage - Paid annual leave under Turkish Labor Law (14 days/year for years 1–5 of service, rising with tenure), plus 5 additional paid days in your first year as a Pointr benefit - Official public holidays as set by the Turkish government (approximately 15 days in 2026, including national holidays and the Ramadan and Sacrifice Feast holidays) - Paid sick leave with a doctor's report, per Turkish Labor Law - 24 weeks of paid maternity leave (state-paid) and up to 6 weeks of paid paternity leave, topped up by Pointr Bilişim above the statutory minimum - Mandatory SGK social security contributions Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us. HOW WE USE YOUR DATA Pointr Bilişim A.Ş. processes the personal data you submit as part of your application in accordance with Turkey's Personal Data Protection Law No. 6698 (KVKK), solely to assess your candidacy and manage recruitment. Our full candidate clarification notice (Aydınlatma Metni) is available upon request. #LI-REMOTE Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us.   WE SUCCEED TOGETHER Great outcomes happen when talented, diverse people come together with a shared purpose. We value empathy, humility, and expertise, and we believe the best ideas come from collaboration, thoughtful challenges, and open feedback. We empower our teams with clear goals and ownership, creating an environment where everyone can contribute, grow, and succeed. We take responsibility for our individual and collective development, celebrate our progress, learn from our experiences, and recognize the impact we create together. We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do. We are committed to providing an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please reach out to your recruiter or contact our team at hiring@pointr.tech hiring@pointr.tech. A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team. On our end, we utilize a platform called Granola as a notetaker and review tool to ensure a fair and transparent hiring process. Beware of scammers! All legitimate communication from Pointr regarding your application will come directly from an @pointr.tech http://pointr.tech email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.

Location: US Remote; Mexico About the role This is an ideal opportunity for a highly motivated individual to get in on the ground floor as we build out our Professional Services and Managed Services functions at Cyberhaven. The Senior Data Protection Analyst holds a key position in providing continuous value for our customers and is responsible for advancing the mission of identifying potential insider threats and investigating endpoint forensic incidents. You will be responsible for performing technical analysis of data security incidents, finding and exposing risk in a customers environment as well as handling documentation and project management aspects of incident response. You will also perform analysis of events and incidents. What you’ll do - Provide insight into DLP analytics and related issues. - Analyze Cyberhaven’s Data Detection and Response (DDR) platform event data to improve policies and incidents/alerts and bring focus to areas where data loss risk may exist. - Refine datasets and policies and manage them as customers’ data risk strategy matures and business needs evolve. - Prepare and present summaries and reports to internal team members. - Eliminate noise and false-positive information from analytic results to enhance detection accuracy. - Conduct forensic analysis on people, groups, and non sanctioned egress destinations as requested.   Who you are - 5+ years with data protection or adjacent security tools (EDR, SIEM, SOAR) and 2+ years in Insider Threat/InfoSec. - Strong grasp of endpoint protection best practices and incident mitigation workflows. - Experience with DLP, Insider Threat, CASB and controls for handling sensitive data. - Comfortable across macOS, Linux, Windows and cloud platforms (AWS, GCP, Azure). - Data & automation: SQL for analysis; build/maintain dashboards; edit XML-based DLP rules; script and use APIs. - Excellent problem-solving and communication skills; collaborative on a global team; customer-centric with a passion for cloud security and emerging tech.   Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Australia Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT THE ROLE ClickUp is hiring a Strategic Solutions Engineer to partner with our Sales team across APAC, helping prospective and existing customers turn business challenges into practical solutions. You will lead technical discovery, deliver tailored demonstrations, design solutions, and guide technical evaluations that help customers adopt ClickUp, expand their use of the platform, and realise measurable business value.   This is primarily a customer-facing pre-sales role, with approximately 80% focused on direct sales opportunities and 20% supporting our partner ecosystem. You will combine business process mapping, compelling storytelling, and hands-on work with AI, automation, and integrations to show customers better ways of working. You will also help partners build their technical confidence through targeted enablement and support on shared opportunities.   KEY RESPONSIBILITIES - Discovery & Solution Design: Partner with Account Executives to understand customer goals, map current business processes, and design solutions that connect ClickUp capabilities to measurable outcomes. - Tailored Demonstrations & Storytelling: Deliver customer-specific demonstrations, workshops, and executive presentations that show the value of ClickUp for prospective and existing customers. - Technical Evaluations & Proof of Value: Own the technical evaluation from discovery through working sessions, technical Q&A, proof-of-value projects, integration scoping, and final value presentation. - AI, Automation & Integrations: Build and demonstrate practical AI-driven workflows, agent-based solutions, and lightweight integrations that help customers improve productivity and operational efficiency. - Technical Deal Support: Address technical objections, contribute to functional and technical RFP responses, and help customers evaluate solution fit, feasibility, and business impact. - Cross-Functional Collaboration: Work with Professional Services, Customer Success, Product, Engineering, and global Solutions Engineering teams to resolve technical questions, share customer feedback, and support a clear handoff from evaluation to implementation. - Reusable Assets & Best Practices: Develop demo environments, solution patterns, and technical content that improve the quality and efficiency of customer engagements. Manage multiple opportunities with sound prioritisation and commercial judgment. - Partner Enablement: Help partners strengthen discovery, demos, and solution design through targeted training and reusable assets covering ClickUp, AI, integrations, and workflow automation. - Partner Co-Selling: Support selected partner-led and shared opportunities with technical discovery, demonstrations, and solution guidance, working alongside Partner Managers and Account Executives.   QUALIFICATIONS REQUIRED - 5+ years of solutions engineering experience. - Strong presentation, storytelling, and workshop facilitation skills, with the ability to connect product capabilities and technical details to business outcomes for different audiences. - Strong customer-facing skills, including the ability to build credibility, influence technical and executive audiences, and handle objections thoughtfully. - Ability to map business processes, facilitate whiteboarding sessions, and translate customer requirements into clear solution designs. - Creative problem-solving skills, an eagerness to learn new technologies, and sufficient technical depth to build lightweight custom solutions using APIs, web services, integrations, or automation. - Hands-on experience applying AI and LLMs to practical workflows, with the ability to explain their value and limitations to customers. - Strong commercial judgment, structured problem-solving, and comfort managing multiple concurrent priorities with urgency and limited supervision. - Willingness to travel up to 30% for this role. PREFERRED - Experience supporting enterprise customers or complex, multi-stakeholder buying processes. - Experience with project management, portfolio management, collaborative work management, or other horizontal SaaS platforms. - Familiarity with integration platforms such as Workato, Zapier, Unito, or Make. - Experience enabling colleagues, customers, or partners through training, workshops, or reusable technical content. LOCATION - This role is open to candidates across Australia, with Sydney, Melbourne or Brisbane preferred. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: United States Summary We're a growing B2B SaaS company. We want an operator to build a team of high performers, especially in sales and marketing. This is not a traditional HR role. PLEASE DON'T APPLY IF: You haven't hired sales or marketing people at a B2B SaaS company. Your main work has been policies, benefits, compliance or HR administration. You wait for problems to come to you. You've never personally run the exit of an underperformer. WHAT YOU'LL OWN Performance. Set clear, measurable standards for every role. Spot underperformers early, coach them fast, and exit them within 60–90 days if they don't improve. You will run and deliver terminations yourself, with the CEO signing off. Hiring. Build a hiring engine for account executives, SDRs, marketers and their leaders. You'll track time-to-hire, ramp time and quota attainment. Culture. Build a culture where top performers are rewarded publicly and everyone knows the bar. Managers. Hold managers accountable for their teams, and back them when they make tough calls. Initiative. Bring problems and fixes to the CEO before you're asked. Requirements YOU ARE An operator first, with a background in sales, RevOps, recruiting or ops leadership at B2B SaaS companies. Someone who talks in revenue per employee, quota attainment and regretted attrition, not "engagement." High energy, fast-moving, and willing to push back on the CEO. Available 15–25 hours a week, US-based, and open to going full-time. HOW IT WORKS Paid 30-day trial. We'll judge you by what you ship: scorecards, a sales hiring scorecard and a performance review cadence. We'll convert to a longer engagement based on results.

Location: Dubai, United Arab Emirates We are developing a competitive senior cricket programme in Dubai and is seeking an experienced Head Cricket Coach to lead the sporting development and performance of the club. This is a hands-on leadership role responsible for team performance, training, player development, recruitment, trials, squad selection, and match preparation . The successful candidate will also contribute to establishing the club’s playing philosophy, coaching structure, and long-term sporting strategy. Key Responsibilities Take overall responsibility for the performance and development of the senior team. Plan, structure, and lead senior-team training programmes and sessions. Develop and implement the club’s playing philosophy and coaching methodology. Lead match preparation, tactical planning, and matchday management. Develop game plans based on opposition, playing conditions, and squad strengths. Lead player recruitment, trials, assessment, and squad selection. Identify squad requirements across batting, bowling, wicketkeeping, and fielding. Assess prospective players and provide recommendations to club management. Develop players technically, tactically, and strategically. Establish Individual Development Plans (IDPs) and conduct regular player reviews. Set and maintain professional standards for training, attendance, discipline, preparation, and performance. Utilise video analysis and performance data where appropriate. Manage player workloads and competitive preparation in coordination with relevant performance staff. Assist with the recruitment and management of assistant and specialist coaches. Develop leadership within the playing group. Contribute to long-term squad planning and the sporting strategy. Work closely with club management on the continued development of the cricket programme. Requirements Proven experience coaching senior/adult cricket teams . Previous experience as a Head Coach, Senior Assistant Coach, or Performance Coach is highly desirable. Strong technical knowledge of batting, bowling, fielding, and wicketkeeping. Strong understanding of modern cricket tactics and match strategy. Proven experience in player assessment, trials, recruitment, and squad selection. Strong leadership and player-management capabilities. Ability to work effectively with players from diverse cultural and cricketing backgrounds. Excellent communication, organisational, and planning skills. Professional approach to training, match preparation, and performance management. Experience in professional, first-class, franchise, national, academy, or other high-performance cricket environments is an advantage. Previous UAE or Gulf cricket experience is advantageous but not mandatory. Former professional playing experience is an advantage but not essential. Mandatory Coaching Qualification Candidates must hold at least an ICC Coaching Level 1 qualification or a recognized equivalent qualification issued by a national cricket governing body. Higher-level qualifications will be strongly preferred, including: ICC Coaching Level 2 ICC Coaching Level 3 ECB coaching qualifications or recognised equivalent Cricket Australia coaching qualifications or recognised equivalent Other recognised national governing body coaching qualifications Coaching qualifications will be assessed alongside the candidate’s senior coaching experience, playing background, leadership experience, and track record of player development. Benefits Competitive compensation based on experience and qualifications UAE employment visa Medical insurance Opportunity to play a key role in building a competitive senior cricket programme Significant involvement in player recruitment, trials, and squad selection Opportunity to contribute to the recruitment of assistant and specialist coaching staff Direct involvement in the sporting development and long-term strategy of the cricket club

Location: Singapore Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com is actively looking for a part or newly qualified enthusiastic and talented Associate to join our Financial Control team in Singapore. This hands-on role reporting to the Director of Financial Control (APAC) is an exciting opportunity to join a rapidly expanding global company. The ideal candidate will be self-motivated with excellent communication skills and can work to strict deadlines. You will take the lead in financial analysis preparation, resolving accounting issues, participating in ad hoc projects, plus supporting the annual external audits for the assigned legal entities. Key Responsibilities - Ownership of Legal entities financial reporting to ensure ledgers are complete and accurate and that reporting deadlines are adhered to. - Assistance in the preparation and review of VAT returns - Assisting in the global and local statutory audit process - Support finance transformation initiatives across APAC, working closely with the Group Finance team. - Identify and implement continuous improvements to processes, controls, and efficiencies. - Support a range of tax-related matters, including corporate tax, consumption tax, depreciable assets tax, and withholding tax. - Contribute to ad-hoc financial projects and analysis as needed. About you: - Bachelor's degree in Accounting, Economics, or a related field, with a strong academic record. - Newly Qualified (CA/CPA/ACCA) - 5-7 years of relevant experience- Big 4 + Financial Services (preferred), at least a tech company otherwise (Big 4 supporting tech companies ok as well) - Strong background in Financial Control is essential. - Sound technical accounting knowledge, with confidence in preparing financial statements under Japanese GAAP. - Bilingual proficiency in Japanese and English (spoken and written). Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

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: As part of Anthropic’s Global Safety, Intelligence, and Security (GSIS) team, the Security Technology Deployment Engineer will own the validation, standardization, and deployment of physical security technology across Anthropic’s rapidly expanding global office portfolio. This role bridges the gap between technology selection and production-ready operation — ensuring that every security platform deployed is rigorously tested, properly integrated with enterprise infrastructure, fully documented, and built for scale. You’ll define the installation standards, configuration baselines, and deployment processes that the broader team executes against — from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You’ll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic’s infrastructure before going live. Your work will directly determine whether Anthropic’s security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint. Responsibilities: Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production Support colleagues’ security applications through InfoSec review processes, ensuring new tools meet Anthropic’s information security and compliance requirements Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion Initiate onboarding of deployed hardware and systems into Anthropic’s health monitoring platform to ensure operational visibility from day one Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently You may be a good fit if you: Have 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization Have deployed security technology across 50 or more sites, or have demonstrated experience in a high-growth environment where deployment velocity and repeatability were essential Have built standardized deployment processes, playbooks, and configuration templates that enabled others to execute installations independently and consistently Have experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments Have supported SSO integration, InfoSec reviews, and enterprise application onboarding workflows for security tools Possess broad technology experience across access control, video management, intercoms, visitor management, AI/analytics, and alarm monitoring platforms Are a strong technical communicator who can define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity Have experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices Are comfortable with 25% travel for site deployments, commissioning, and validation Strong candidates may have: Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments Experience with Anthropic’s specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai , Ambient.ai , SureView, Envoy Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation Experience with health monitoring and observability platforms Knowledge of SOC 2 compliance, GDPR, and physical security compliance frameworks Experience with change management, configuration control, and version-controlled infrastructure documentation Deadline to apply: None. Applications will be received 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: $180,000 — $230,000 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 - Alabama ; Remote - Alaska ; Remote - Arkansas ; Remote - Delaware ; Remote - Florida ; Remote - Georgia ; Remote - Indiana ; Remote - Maryland ; Remote - Massachusetts ; Remote - New Hampshire ; Remote - New Jersey ; Remote - New York ; Remote - South Carolina ; Remote - Texas Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We are looking for detail-oriented Voice Specialists to evaluate the performance of AI models through real-time, voice-based conversations. In this role, you will interact with two different AI models using the same assigned scenario, carefully compare their responses, and provide structured evaluations based on defined quality criteria. The goal of the evaluation is to create a fair, consistent comparison between models and identify which model delivers the stronger overall conversational experience. What You’ll Own: Review an assigned scenario and roleplay a natural conversation with two different AI models . Conduct comparable conversations with Model A and Model B, keeping the scenario, conversational approach, and overall interaction as consistent as possible. Maintain approximately the same number of conversational turns with each model to support a fair comparison. Record your voice during each interaction and pay close attention to the quality and behavior of the model's responses. Evaluate each model across five defined evaluation dimensions . Identify and categorize relevant error clusters that may occur in the audio or conversation. Compare the performance of Model A and Model B based on the evaluation criteria and your observations. Select the model that demonstrated the stronger overall performance according to the defined evaluation framework. Write a detailed rationale explaining your final preference, referencing specific examples and observations from both conversations. Apply evaluation guidelines consistently across different scenarios and model interactions You’ll Thrive in This Role If You Have Bachelors Degree Strong attention to detail and ability to notice subtle differences in conversational quality. Excellent listening and comprehension skills. Strong written communication skills, particularly the ability to explain observations clearly and objectively. Ability to follow detailed evaluation guidelines consistently. Comfort speaking naturally and roleplaying different conversational scenarios. Ability to compare two interactions fairly without allowing personal preferences to influence the evaluation. Strong critical-thinking and analytical skills. Reliability and consistency when completing structured evaluation tasks. Familiarity with AI assistants, voice-based AI, or conversational systems The expected hourly salary range for this position is $20-$25 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: In Office - San Jose, California Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We're building a dedicated reviewer team to evaluate complex, real-world agentic AI workflows, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny. This isn't routine content moderation: reviewers work through ambiguous, multi-step scenarios where judgment calls matter as much as checklists. You'll operate inside isolated test environments, apply structured rubrics, and help calibrate what "safe and policy adherent agent behavior" actually looks like. What You’ll Own: Review multi-step agent task trajectories against rubric-based criteria covering task success, safety, and policy adherence Evaluate whether an agent respected user agency and informed consent — not just whether it followed literal instructions Apply privacy guardrails when reviewing tasks involving sensitive or personal data Work inside isolated test environments, including verifying environment resets between test runs to prevent cross-contamination Flag and escalate safety-relevant or ambiguous findings through defined escalation paths You’ll Thrive in This Role If You Have: Bachelor's degree or equivalent practical experience 2–5+ years in quality review, QA/QC, trust & safety, content moderation, data annotation, or a similarly judgment-intensive review role Strong written communication – you can justify a scoring decision clearly enough for someone else to audit it Comfort with ambiguity and structured decision-making under a rubric, rather than needing a fixed rulebook for every case Baseline understanding of AI/ML concepts and how AI agents complete tasks (can be learned through onboarding, but some familiarity helps) The expected hourly salary range for this position is $50-$55p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: In Office - San Jose, California Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We are standing up a dedicated onsite team to evaluate complex, real-world agentic AI workflows for a frontier AI customer. Reviewers work through ambiguous, multi-step scenarios inside isolated test environments, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny. The Quality Lead is the person accountable for whether that output is any good. This is a senior individual contributor role. You will not manage the reviewers — that sits with the Engagement Manager — but you set the standard they are held to. You own the audit sample, run calibration, keep the rubric usable as real cases stress it, and train reviewers into the work. You are also the deputy: when the Engagement Manager is out, the engagement runs on you. The quality approach here is not fully defined. We expect you to build it in partnership with the customer's quality leads, or at minimum to take what they have, run it honestly, and come back with specific recommendations for where it falls short. What You’ll Own: Own the quality system for the engagement: audit design, sampling strategy, scoring standards, and how quality gets measured and reported Build that system with the customer's quality leads where none exists, and where one does, operate it and recommend concrete improvements based on what the data shows Re-score a sample of reviewer output as a second pass; identify error patterns rather than isolated mistakes Run calibration sessions: surface disagreement, work it to resolution, and document the reasoning so the outcome holds for future cases Maintain rubric health — flag criteria that are ambiguous, overlapping, or silent on cases the team keeps hitting, and drive revisions through the customer Train and onboard new reviewers, including nesting plans, ramp criteria, and the judgment call on when someone is production-ready Give the Engagement Manager the evidence behind performance conversations: who is drifting, on what, and whether coaching is working Report quality trends to the Engagement Manager and, alongside them, to the customer Deputize for the Engagement Manager on delivery operations during absences Maintain information security, privacy, and facility access practices required by the customer's onsite environment You’ll Thrive in This Role If You Have: Bachelor's degree or equivalent practical experience 4+ years in quality assurance, quality management, or senior review work within annotation, evaluation, trust and safety, or a similarly judgment-intensive domain Direct experience owning a quality function: you designed the audit, not just executed someone else’s Significant experience with AI/ML evaluation work: annotation, red-teaming, RLHF, model or agent evaluation, or trust and safety review Hands-on familiarity with agentic systems: tool use, multi-step task execution, sandboxed environments, and common failure modes Demonstrated ability to run calibration with peers — including holding a position under disagreement and changing it when the argument is better Strong written communication; able to document a scoring standard clearly enough that a reviewer can apply it and an auditor can check it Comfortable in spreadsheets and in a dashboarding tool, with enough Python or SQL to pull and slice your own data (you will not be asked to build interfaces) Experience training or onboarding reviewers into rubric-based work The expected hourly salary range for this position is $75-85 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. The Deputy Head of Transaction Monitoring is a senior 2LOD leadership role responsible for the execution, oversight, and continuous transaction monitoring framework across all regulated entities. The role sits within the Group Financial Crime & Compliance function and reports directly to the Head of Transaction Monitoring (TM). The TM team is being built from the ground up and the Deputy Head is a foundational hire. The successful candidate will play a direct role in shaping how the function operates, establishing its culture, and setting the standard for how TM is executed across the Group. The decisions made and ways of working established in the early months of this team will define its trajectory. The TM function is mid-build across detection capability, operating model, and platform infrastructure. The Deputy Head will drive delivery across a complex, multi-jurisdictional operating model — translating regulatory expectations into working controls, challenging first-line frameworks with credibility and precision, and providing structured, evidence-based oversight of TM risk across the Group. All accountabilities are exercised on the direction of the Head of TM, or independently where the Head of TM is unavailable and the matter cannot be deferred without breaching a regulatory or operational obligation. The Head of TM retains ownership of the framework, regulatory relationships, and strategic decision-making. In the absence of the Head of TM, the Deputy will provide full operational continuity, maintaining oversight, escalation, and regulatory responsiveness across the Group Responsibilities TM Framework & Policy Shape and evolve the Group TM framework with the Head of TM — policies, procedures, rule design methodology, threshold calibration, and the quality assurance regime. Review and challenge Scenario Engineering outputs, rule specifications, threshold proposals, and back-testing results ahead of Head of TM sign-off. Own the quality bar for QA and Governance outputs, ensuring they meet the standard expected by senior management and regulators. Shape rule change proposals and threshold recalibrations through the change management process. Drive TM minimum standards across entities, partnering with local Heads of Compliance to close gaps. Delegated Authority & Decision-Making Hold formal delegated authority from the Head of TM, stepping into the primary TM decision-maker role whenever they're unavailable and a decision can't wait. In this capacity, you will: Approve withdrawal holds, account restrictions, and alert escalations. Review L3 SAR referral packs for completeness and evidential sufficiency before they go to the entity MLRO. Approve interim rule threshold changes that can't be deferred, recording the rationale for the Head of TM to confirm on their return. Deputise fully for the Head of TM during leave or absence, holding full decision-making authority within the governance framework for that period. Regulatory Engagement Working under the Head of TM's direction, and independently when they're unavailable, you will: Support the Head of TM in managing regulator relationships on TM matters. Respond to supervisory queries, attend regulatory meetings, and represent the TM function at inspections. Support the preparation and delivery of regulatory submissions, responses to supervisory feedback, and remediation communications. Coordinate with entity MLROs and Heads of Compliance on jurisdiction-specific TM requirements. Team Leadership Provide day-to-day leadership and line management of TM specialist teams, alongside the Head of TM. Lead recruitment, onboarding, and development of TM analysts across pillars. Chair TM governance meetings, including in the Head of TM's absence. Act as the senior escalation point for analysts, bringing decisions to the Head of TM where needed. Drive risk culture across the TM function through visible leadership, consistent challenge, and clear communication. Governance & Oversight Uphold the governance boundary between TM compliance decisions and commercial interests, escalating to the Group Head of Compliance and Regulatory Risk if the Head of TM is unavailable to resolve a conflict. Ensure 1LOD Alert Operations operates within the framework set by 2LOD, escalating any breach to the Head of TM. Maintain audit-ready documentation across all TM governance activity. Act as a senior escalation point for material TM issues, control failures, and emerging risks across all entities Requirements Extensive experience in financial crime compliance, with at least 3 years in a senior TM role (team lead, deputy head, head of TM, or equivalent) within a regulated financial services firm. Experience in the CFD, forex, or leveraged derivatives sector , or with investment firms offering similar products. Demonstrable experience making autonomous decisions on TM matters: alert escalation, SAR filing recommendations, account restriction approvals, and rule threshold adjustments. Experience engaging directly with the FCA or another Tier 1 regulator (CySEC, ASIC, MAS, BaFin) on TM or financial crime matters, including responding to supervisory queries and attending regulatory meetings. Experience with TM framework design or significant enhancement, including rule design methodology, threshold calibration, and quality assurance. Working knowledge of AML/CTF regulatory requirements in at least two of: UK (FCA/MLR 2017), EU/Cyprus (AMLD/CySEC), Australia (AML/CTF Act/AUSTRAC), UAE (CBUAE). Experience managing or overseeing a team of financial crime or TM specialists. Strong written and verbal communication: the role produces materials for senior management, the CCO, the Board, and regulators What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. Applicable for Poland: Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request hr@capital.com. You may report a violation referred to in the Procedure under the terms specified therein.

Location: In Office - San Jose, California Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We are standing up a dedicated onsite team to evaluate complex, real-world agentic AI workflows for a frontier AI customer. The Engagement Manager owns this team and this engagement: a group of ten reviewers and one QA lead working inside isolated test environments, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny. This is a delivery leadership role with a strong customer-facing component. You are the customer's primary day-to-day contact at the site, accountable for throughput, quality, and turnaround, and responsible for identifying where the engagement should grow next. You will not be scoring trajectories as a daily task, but you need enough technical depth to audit the team's work yourself and defend a scoring decision in a room with the customer's technical leads. What You’ll Own: Own end-to-end delivery for the onsite team: throughput, quality, turnaround, and capacity against committed volumes Manage and develop a team of eleven, including hiring, onboarding, performance management, and retention Serve as the primary onsite point of contact for the customer's program and technical leads; run recurring reviews, report on delivery metrics, and resolve issues before they escalate Audit reviewer output directly — sample trajectories, check rubric application, and assess whether scoring rationale would survive customer review Partner with the QA lead on calibration cycles, quality metrics and evaluation, and rubric refinement; arbitrate disagreements that calibration does not resolve Own the escalation path for safety-relevant and ambiguous findings, including judgment on what reaches the customer and how quickly Identify expansion opportunities within the account: adjacent workstreams, new task types, additional capacity, and scope the work with internal delivery and commercial teams Forecast staffing and cost against the engagement's commercial model, and flag variance early Maintain information security, privacy, and facility access practices required by the customer's onsite environment You’ll Thrive in This Role If You Have: Bachelor's degree or equivalent practical experience 5+ years of professional experience, including direct management of a delivery team of 10–20 people Track record as the customer-facing owner of a services or delivery engagement with an enterprise or technology client, including metrics reporting and issue escalation Significant experience with AI/ML evaluation work: annotation, red-teaming, RLHF, model or agent evaluation, or trust and safety review Ability to read rubric-scored work critically and form an independent view of whether a score is correct Strong written communication; able to produce reporting and escalation memos that a technical customer will accept without rework The expected hourly salary range for this position is $75-85 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: 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 Customer Success Manager on Anthropic's Public Sector team, you will be the post-sales trusted advisor helping national security customers realize the value of Claude and turn their investment into mission impact. You'll combine your customer success expertise with technical fluency to drive adoption of Claude Code, the Claude API, and Claude for Government (C4G) on classified infrastructure delivered through a cleared cloud provider, while maintaining our high standards for safety, security, and discretion. Working closely with our Sales, Applied AI, Product, Engineering, and Policy teams, you'll guide customers from deployment through enablement, model migration, renewal, and expansion. You'll develop genuine partnerships with customers' AI leadership, platform and compute teams, security and accreditation officials, and mission operators—and with the cleared cloud providers and system integrators that deliver alongside us. Your understanding of their mission, how they accredit and govern capabilities on classified fabrics, and how they evidence value to oversight will help them deliver decision advantage. Drawing on both your national security expertise and technical knowledge, you'll serve as a strategic advisor throughout their journey with us—helping them navigate constraints that don't exist in commercial or federal civilian deployments: classified-fabric accreditation, fixed compute capacity, compartmentation, limited telemetry, and need-to-know discipline. Much of this work happens onsite, in the customer's spaces, on their systems. Your role focuses on driving consumption and adoption of Claude across mission workloads, standing up enablement and change management suited to a cleared, mission-driven workforce, identifying and hardening the workloads that matter most to the mission, and demonstrating value in unclassified terms that can leave the building and support renewal and expansion. The insights you gather will directly inform our research priorities, product roadmap, and national security strategy—making you a key voice in shaping how Anthropic builds and delivers AI systems for the most demanding missions. Key responsibilities: Partner with the account executive and Applied AI architect to deeply understand the customer's mission requirements and translate them into an account and success plan, ensuring alignment between mission objectives, the customer's investment, and technical implementation Serve as the primary post-sales advisor to the customer throughout their Claude adoption journey, from deployment through enablement, model migration, renewal, and expansion. You will need to build trusted relationships across the customer's senior stakeholders—AI leadership, platform and compute teams, security and accreditation officials, contracting, and mission operators—and coordinate internally across multiple teams and with cleared cloud providers to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Government on classified infrastructure—managed configuration, capacity and throughput planning, and workload onboarding—with a working understanding of accreditation requirements (FedRAMP High, IL5/IL6, classified-fabric accreditation) Create and deliver compelling enablement and executive content tailored to different audiences. You will need to spread the gamut from hands-on Claude Code enablement for engineering teams (Train the Trainer, managed configuration as the "paved road," Center of Excellence development) up to mission-value conversations with senior agency leadership, in unclassified language that can leave the building Help the customer develop evaluation frameworks and measure adoption and value without direct telemetry—provider capacity reports, customer-run dashboards, workload registries, and agreed leading indicators—and guide model migration and release readiness: eval gates built from their workloads, staged cutovers off end-of-support models, and realistic expectations about what lands on their fabric and when Drive consumption and adoption: separate under-pacing from burst saturation of a fixed compute pool, smooth and onboard workloads before asking for capacity, discover new mission workloads across compartmented organizations, and document value realized in mission-outcome terms (decisions accelerated, coverage, timeliness, findings produced) Own Executive Business Reviews that function as discovery and alignment—leaving executives with sponsor commitments, mutual next steps, and a mission-outcome narrative that supports the renewal decision—and serve as the primary conduit between the customer, cleared cloud providers, and Anthropic Identify common adoption and integration patterns and hero workflows that demonstrate mission transformation, and contribute insights back to our Product, Engineering, Research, and Policy teams—while maintaining strict separation of classified and unclassified channels and escalating correctly (e.g., 'Claude cut a high-volume analytic triage queue from days to hours') Work onsite frequently at customer facilities for enablement, workshops, and relationship building, on the customer’s systems and within their security and need-to-know rules Maintain strong knowledge of the latest developments in LLM capabilities, agentic and Claude Code implementation patterns, and national security AI policy You may be a good fit if you have: Due to U.S. Government contract requirements, this position requires U.S. citizenship and an active TS/SCI security clearance with a current full-scope polygraph (a TS/SCI with CI polygraph may be considered where crossover is supportable) Must have prior experience working with US national security (defense and/or intelligence) agencies —ideally at the level of AI leadership, platform, and compute teams rather than a single program office—and a working knowledge of how national security agencies accredit, budget, govern compute, and measure mission (including the difference between FedRAMP High, IL5/IL6, and classified-fabric accreditation, and the role of cleared cloud providers and system integrators) 5+ years of experience in customer-facing roles such as Customer Success Manager, Technical Account Manager, Solutions Architect, or Consultant, with experience navigating complex stakeholder environments; able to work onsite at customer facilities in the National Capital Region 3-4 days per week Experience driving success with consumption-based products (tokens, throughput, capacity) as well as seat-based products, including measuring adoption and value when you cannot see usage directly Technical fluency with AI/ML concepts, API integration patterns, and agentic tooling such as Claude Code; familiarity with common LLM frameworks, tools, and evaluation approaches, and hands-on experience building something with an LLM API or coding agent, is a strong plus Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, from engineering and platform teams to security and accreditation officials to senior national security leadership Judgment and discretion: never over-promises on dates, capabilities, or documentation; practices need-to-know as a reflex; keeps composure under political and competitive pressure; strategic mindset to identify mission transformation opportunities and translate them into actionable expansion plans Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities—advocating for customer needs across internal (Applied AI, Policy, Research, Security) and external (cleared cloud provider, system integrator, program office) stakeholders Passion for thinking creatively about how to use AI in a way that is safe and beneficial for the national security mission, and ultimately furthers the goal of advancing safe AI systems A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality—you're a true team player The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $350,000 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: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box is on a mission to power how the world works together. Box AI is central to that mission—bringing intelligent assistance and agentic workflows to our customers across web, mobile, and desktop. The AI Experiences team works on the core user experiences that bring Box AI to life across Box products We’re looking for a Senior Software Engineer to lead the design and delivery of cross-platform AI experiences with speed, quality, and strong technical judgment. You will own or co-own team-level initiatives across web & mobile that ship ship delightful Box AI user experiences to customers. Your primary focus will be on front-end architecture in React and React Native while partnering closely with backend engineers and cross-functional stakeholders. If you’re passionate about making AI the new user interface for Box content, this role is for you. WHAT YOU'LL DO You will own or co-own the design, implementation, and delivery of Box AI chat and agentic frontend experiences across all of Box's web and mobile applications, spending approximately 80% of your time on frontend development and 20% collaborating with backend engineering teams. You will shape and inform requirements alongside Product Managers and UX Designers — not just implementing specs, but helping define them, making trade-offs quickly, and driving decisions in a fast-paced environment. You will ship weekly to production, contributing daily PRs and making incremental advances toward feature delivery within one-week sprint cycles. You will help define cross-platform best practices for new feature development across web, iOS, and Android, establishing patterns and standards that scale across the team. You will uphold accessibility, performance, and quality standards through thoughtful engineering, code reviews, and testing — spending at least an hour daily on PR reviews to raise the bar for your peers. You will stay current with rapidly evolving AI model capabilities and translate them into meaningful customer value, responding quickly when new models require corresponding frontend experience changes. You will partner with backend engineering teams to define interfaces, contracts, and incremental delivery milestones, ensuring full-stack quality even as your primary focus remains on the frontend. You will participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. You have 5+ years of professional software engineering experience with a strong focus on front-end development, and you bring deep expertise in React; React Native is a strong plus, but React alone is sufficient — having both is a significant advantage. You bring full-stack understanding — you are comfortable with backend APIs, system design, and defining interfaces and contracts, enabling you to collaborate effectively with backend partner teams even as your primary focus is frontend. You actively use AI coding tools — such as Cursor, Claude Code, or Codex — as a core part of your development workflow, including requirements gathering, writing tests, and feature delivery; this is a hard requirement, not a bonus. You have a demonstrated track record of shipping significant changes across multiple components or systems with minimal guidance, in fast-paced environments where you shape requirements rather than wait for them. You bring a collaborative mindset, a commitment to inclusive and accessible design, and a passion for mentoring peers and elevating engineering practices through high-quality code review. You have experience with CI/CD pipelines, A/B testing, and feature flag-driven development; exposure to GCP and cross-platform mobile architecture is a plus. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . Notice of Use of AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $198,500 — $248,000 USD

Location: Remote - US About the Job: The Enterprise Acquisition Account Executive will drive LaunchDarkly's growth by acquiring new enterprise customers through 100 percent net new logo generation. Owning a defined territory, you will develop and execute strategic account plans, generate new opportunities, and deliver tailored solutions that demonstrate LaunchDarkly's value. This role is ideal for someone who thrives on breaking into greenfield accounts and closing new business. Responsibilities: Territory Management: Develop and maintain comprehensive territory and account plans. Pipeline Generation: Secure consistent new opportunities through targeted outreach and account research. Revenue Growth: Achieve quarterly revenue and new logo acquisition targets. Customer Engagement: Build strong relationships with champions and decision-makers, developing compelling business cases. Collaboration: Work with SDRs, SEs, and other teams to ensure seamless execution and customer success. Strategic Thinking & Execution: Design and execute long-term strategies that drive business growth within a defined territory. Identify and capitalize on market opportunities and align them with company objectives. Adapt strategies as market dynamics evolve, ensuring continuous growth and a competitive edge. Enterprise Sales Expertise: Proven track record in enterprise sales, including lead generation, opportunity identification, negotiation, and closing high-value deals. Deep understanding of the enterprise sales cycle and the ability to manage complex, multi-stage deals. Skilled in selling to C-suite executives and senior decision-makers, developing customized solutions that address business needs. Customer-Centric Problem Solving: Assess customer pain points and design tailored solutions that create measurable value. Build long-term relationships with key customers, acting as a trusted advisor to solve their business challenges. Overcome obstacles and find innovative solutions to meet customer needs. Independent Decision Making: Work autonomously with minimal day-to-day supervision, making sound decisions based on analysis of data and situational factors. Take ownership of the territory, managing customer acquisition with confidence and minimal instruction. Prioritize tasks and make decisions quickly, ensuring alignment with broader business goals. Analytical Skills & Data-Driven Insights: Analyze market data, sales metrics, and customer insights to inform strategies and decision-making. Evaluate diverse factors to identify trends, resolve complex issues, and optimize sales efforts. Use CRM and sales tools to track and analyze performance. Negotiation & Deal Structuring: Negotiate large-scale, complex contracts, balancing customer needs with company goals. Create mutually beneficial agreements that result in long-term business relationships. Handle objections, overcome resistance, and close deals in a competitive market. Communication & Influence: Exhibit strong verbal and written communication skills, with the ability to influence and persuade key stakeholders. Present solutions and negotiate with C-suite executives, ensuring clear understanding and alignment. Communicate complex ideas concisely and compellingly to diverse audiences. Collaboration & Team Leadership: Collaborate effectively with cross-functional teams, including marketing, product, and customer success, to align efforts and drive growth. Demonstrate leadership in managing internal resources, ensuring alignment with company goals. Motivate and influence team members across departments to achieve common objectives. Results-Driven Focus: Maintain a strong focus on achieving measurable sales outcomes and consistently meeting or exceeding targets. Demonstrate motivation by performance metrics and commitment to continuous improvement. Take ownership for results, holding oneself accountable for achieving objectives. Qualifications: 8+ years of sales experience, with a focus on net-new logo acquisition. Proven success in selling technical solutions to CIO/CTO-level personas in competitive or unbudgeted environments. Strong track record of exceeding quotas and managing complex sales cycles. Understanding of IT infrastructure and organizational structures. Expertise in account planning, stakeholder mapping, and value articulation. Proficiency in sales methodologies like discovery frameworks and cost justifications. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $269,400 - $370,480 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $242,500 - $333,410 ** Zone 3: All other US locations - $229,000 - $314,930* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .