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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high-quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities You may be a good fit if you: Have 3+ years in operations, consulting, product management, or program management roles Have exceptional project management skills with ability to handle multiple complex projects simultaneously Have strong communication skills and can engage effectively with technical and non-technical stakeholders Are familiar with how LLMs work or have strong interest in understanding AI training methodologies Are highly organized and can navigate ambiguity effectively Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) Thrive in fast-paced research environments with shifting priorities Are passionate about AI safety and understand the critical importance of high-quality data Strong candidates may also have: Experience with data collection, labeling, or annotation operations for AI/ML systems Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows Background working with research teams at AI companies or research-oriented organizations Experience managing vendor relationships or external contractors Consulting background with experience translating complex requirements into deliverables Track record of implementing process improvements or quality control systems at scale 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: $270,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Global Who We Are! 🌍 Africa has the world’s youngest and fastest-growing population. By 2035, the continent is poised to contribute more young people to the global workforce each year than the rest of the world combined. At Educate! we're obsessed with impact. We leverage iterative learning to build highly scalable youth employment solutions aimed at unlocking the potential of the world’s youngest continent. Educate! prepares youth in Africa to learn, earn and thrive in today’s economy by: Introducing an employment-focused school subject into secondary and Delivering livelihood boot camps for out-of-school youth, with a focus on marginalized rural girls and young women. To date, more than 850,000+ young people have been meaningfully impacted across Uganda, Rwanda, Kenya, and Tanzania, driving positive outcomes on income, employment, gender equity, family planning and sexual and reproductive health, and educational attainment. Educate! is already East Africa’s largest employment and youth skills provider, and we’re on an exciting journey to impact millions more in the years ahead. Educate! is a team of over 300 largely African staff and 300 volunteer youth mentors. We prioritize building an engaging, fulfilling and growth oriented work environment. 50% of our top 30 leaders have been with us for over 5 years, 10+ alumni have started their own organizations, and 6 current or former team members were Acumen Fund East Africa fellows. We have been backed by top foundations such as Imaginable Futures , Livelihood Impact Fund ,  Jack Dorsey’s #startsmall , CIFF and Echidna Giving . Educate! won a 2018 Klaus J. Jacobs Prize and a 2015 WISE Award , and has been highlighted by the World Bank’s S4YE's Impact Portfolio , an Al Jazeera documentary , BBC , The Brookings Institution as one of 14 case studies on scaling education, and the Gates Foundation as a Goalkeepers Accelerator . In 2022, we received a catalytic investment from philanthropist Mackenzie Scott to scale our systems change work. Educate!'s long-term vision is to design solutions that measurably impact millions of youth across Africa each year. Good to note: To Our Awesome Applicants! 🚀💫 We know that incredible candidates sometimes hesitate to apply if they don’t meet every requirement. If this role excites you, we encourage you to apply! We’re looking for passionate individuals who believe in our mission and can bring unique perspectives to our team—not just those who check every box. We value diversity and strongly encourage women and individuals from all backgrounds to apply. Position Overview Over the past four years, Educate! has grown 3x - and we're just getting started. With an ambitious goal of reaching $100M in revenue by 2035, we are building the team and infrastructure to match the scale of our vision. This is a rare opportunity to join a high-performing organization at a key inflection point. The Senior Development Manager is a key role on Educate!'s revenue team, sitting at the intersection of strategy, execution, and relationship management. This person will play a critical role in driving our ambitious fundraising goals - leading external engagements with funders, developing compelling proposals, and ensuring seamless coordination across teams and developing junior team members, while taking on increasing ownership of a growing portfolio of philanthropic funders. This role demands both strategic thinking and hands-on execution. In the near term, the balance leans toward execution: building proposals, coordinating funder visits, and keeping complex workstreams moving. Over time, as you develop your portfolio and demonstrate ownership, the balance shifts toward strategy and leadership. We're looking for someone who is energized by both, and clear-eyed about what that journey looks like. This role sits one step below Head level on our development team, and we expect the right candidate to grow into that position as they build impact and demonstrate ownership. What You’ll Do🌟 Relationship Management (25%) Serve as a primary relationship manager for a defined portfolio of philanthropic funders — building trusted, long-term partnerships. Progressively take on ownership of a broader funder portfolio, with increasing responsibility for revenue targets and strategic account management. Maintain a deep understanding of funder priorities and proactively identify opportunities align Educate!'s work with their interests. Represent Educate! with professionalism, warmth, and credibility in external engagements. Identify and develop new funder relationships in line with Educate!'s funding strategy and growth ambitions. Contribute to team strategy discussions and help shape how Educate! approaches the market as it scales toward $100M. Proposal Development & Strategic Writing (25%) Lead the development of high-quality funding proposals, concept notes, and grant applications — from strategy and structure through to submission. Edit and peer review external communications, ensuring consistent messaging and branding within the fundraising function. Synthesize complex programmatic information into compelling, funder-ready narratives. Collaborate with program and leadership teams to ensure proposals are accurate, ambitious, and aligned with organizational strategy. Manage proposal timelines and processes, anticipating risks and bottlenecks, resolving them early, and ensuring on-time delivery and strong quality control. Team Leadership & Development (20%) Manage and develop junior members of the revenue team, setting clear goals, giving regular and specific feedback, and supporting their career growth. Coach and mentor colleagues beyond direct reporting lines, building their skills, confidence, and ownership. Delegate effectively and own the outcomes of proposal and funder-visit workstreams, not only their deliverables, adjusting plans and resources as needed. Model Educate!'s culture and tenets and contribute to a collaborative, high-performing team environment. Escalate challenges to the Director of Philanthropy bringing a clear recommendation and the analysis behind it. Donor Visits (15%) Plan and coordinate end-to-end funder visits, including logistics, briefing materials, agendas, and on-the-ground facilitation. Prepare internal teams for funder interactions, ensuring clear talking points, relevant data, and a cohesive experience. Lead post-visit follow-up, including thank-you communications, action items, and documentation of key takeaways. Travel to Educate!'s programs in East Africa to support in-country donor engagements and connect funders directly with program impact. Continuously improve the quality of the visit experience by developing reusable materials and processes that reflect Educate!'s professionalism and mission. Strategic Projects & Support (15%) Support the Director of Philanthropy and broader revenue team on high-priority strategic initiatives, including new market development and funder segmentation. Contribute to pipeline tracking, reporting, and revenue forecasting to keep the team organized and accountable. Identify gaps, then independently design and build systems, templates, and processes that strengthen the team's overall effectiveness as Educate! scales. Conduct landscape research and analysis to inform fundraising strategy and identify emerging funding opportunities. Serve as a collaborative thought partner across the revenue team, stepping in to support where needed, bringing recommended solutions, and contributing to a high-performing team culture. Who You Are 🦸‍♀️🦸‍♂️ This role is well-suited for a high-performing professional with 5–7 years of experience who is ready to step into a senior execution role and grow quickly into team leadership. The ideal candidate brings: A proven track record of securing funding through compelling proposals and sustained funder relationships, with advanced writing, structuring, and editing skills and the ability to synthesize a high volume of information quickly and accurately. Exceptional interpersonal and relationship management skills — you build trust across teams and with external stakeholders at all levels, and sustain it over time. Strong organizational and execution skills, with the ability to manage multiple priorities, work independently to deadlines, and thrive in a fast-paced, dynamic environment. Experience coaching or managing junior colleagues, with the ability to give clear, constructive feedback and develop others. A collaborative, flexible approach and a self-starter mindset — you take initiative, adapt readily, and bring good judgment and integrity to everything you do. A deep commitment to Educate!'s mission and an understanding of the responsibility that comes with managing mission-critical workflows and high-value external relationships. Experience living or working in East Africa is a strong plus. You resonate with our Five Cultural Tenets (see What is Educate! About? below) and learn more by looking at Educate!’s culture deck here What We Offer A vibrant, mission-driven environment with a supportive and fun team. Flexibility - Fully remote or hybrid work environment (location dependent) Competitive salary based on experience. Competitive benefits based on location Learning & growth opportunities This is a Fixed term contract with a possibility of extension based on performance Application Process : Rolling basis, interviews happening soon! Terms Location is Nairobi, Kenya. Our Culture & Tenets(Values) 🌱 We’re ambitious. Are you? Educate! is growing fast, so new opportunities are opening up and expanding all the time. We’re inspired by people with drive, and we love to help them reach their full potential. We expect everyone at Educate! to contribute above and beyond their job description, grow their skills, and advance their careers, and we are committed to supporting our staff members on that journey of their careers, and we are committed to supporting our staff members on that journey. We put Youth First, Impact-Obsessed - We are purpose-driven, focused on impact, and prioritize what truly matters. We listen to youth, design our efforts around their needs, and ensure every dollar creates transformative experiences they value. We Exceed Expectations - We take pride in going above and beyond to achieve the best results—proactively identifying problems and seeking solutions without waiting or stopping at what's requested. We Are Always Learning - We are committed to seeking and applying new knowledge and ideas. We stay open-minded and continuously try new things, experiment, grow, and improve. We invest in learning for ourselves and our teams. We are One Team, Many Views - We value all individuals, believe diverse ideas and open dialogue drive excellence, foster a supportive and respectful environment where everyone can freely express themselves. We work as one team and prioritize the organization's mission over personal or team interests. We have the Startup Mindset - We innovate relentlessly to grow our impact, we never think “we have arrived” or “we’re done.”We constantly challenge the status quo, embrace change, and move quickly toward our vision. Unafraid of failure, we question anything that hinders progress. Every person at Educate! — from interns to the executive director — is evaluated by how they live up to these five cultural tenets. They are at the core of how we achieve our mission and why we work as well as we do.  Educate is committed to providing an inclusive and welcoming environment for all who interact in our community. In creating this environment, we encourage people from a variety of cultures, backgrounds and life experiences to join our diverse team. We’re committed to ensuring all candidates are screened for child and youth safety . As part of the process, candidates must successfully complete our standard background verification and safeguarding review in accordance with local legal standards . Educate! reserves the right to withdraw an offer of employment if any screening results indicate potential risks to youth.

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Doha, Qatar; Ras Al-Khaimah, United Arab Emirates Apt Resources is seeking an experienced Chef De Cuisine specializing in Greek cuisine to join a prestigious restaurant in Dubai. The ideal candidate will lead the kitchen team in crafting authentic and innovative Greek dishes that delight guests and uphold the restaurant’s reputation for excellence. In this role, you will oversee menu development, kitchen operations, staff training, and quality assurance, ensuring the highest culinary standards are met consistently. Responsibilities: Create and refine a menu highlighting traditional and contemporary Greek cuisine. Manage and mentor kitchen staff to maintain smooth operation and high performance. Ensure compliance with food safety and hygiene standards. Control inventory, sourcing premium ingredients characteristic of authentic Greek flavors. Collaborate with front-of-house teams to deliver an exceptional dining experience. Monitor kitchen efficiency and implement improvements as needed. Stay informed of culinary trends and incorporate fresh ideas into the menu. Requirements Proven experience as Chef De Cuisine or Head Chef, with a strong focus on Greek cuisine. Comprehensive knowledge of authentic Greek recipes and cooking techniques. Exceptional leadership and communication skills. Ability to manage a high-performing kitchen team in a fast-paced environment. Strong organizational and time-management abilities. Passion for culinary innovation and quality. Knowledgeable about food safety and hygiene regulations. Benefits As per the market standards

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks. This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you. Key Responsibilities Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis Work closely with product and design teams to scope, prototype, and ship features for life sciences users Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement Minimum Qualifications Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures) A track record of shipping computational tools or pipelines that biologists actually use Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment Able to work independently while collaborating tightly with research, product, and domain-expert teams Results-oriented with a bias toward rapid iteration and measurable impact Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards Preferred Qualifications 5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.) Experience building agentic systems or tool-use environments Published research in ML for biology, or open-source contributions to computational biology tools Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model. As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user. This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work. Key responsibilities Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage Partner with computer-use researchers Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows Instrument products and use usage data to drive prioritization and measure progress Translate fuzzy user pain points into concrete, shippable features for knowledge workers Minimum qualifications Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company Strong full-stack engineering skills, including production web frontend and backend development Hands-on experience building with LLM APIs, prompting, or agent frameworks A track record of shipping to external users and iterating based on their feedback Preferred qualifications Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer Experience with browser automation, desktop automation, or robotic process automation systems Experience building evals or quality harnesses for machine learning systems Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics Experience designing agent loops, tool integrations, or guardrails for LLM-based systems Representative projects Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY 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 customers renew on a mix of committed and consumption contracts, and the number of renewals is growing faster than any team of people could keep pace with. We don't want to answer that by hiring hundreds of renewal managers. We want renewals to run as a system: Claude and agents do most of the work, from spotting risk to drafting the offer to closing a standard renewal in product, and people step in where judgment, negotiation or relationships matter. You'll design, build and run that system. You'll own the renewal outcome for the business globally and the product and technology that delivers it. You'll lead a small team of builders and the human layer, internal specialists and outsourced partners, that handles what agents can't yet. You'll work closely with Sales, Customer Success, Deal Desk, Finance, Billing and Product Engineering. This is a Claude-first role. You'll use Claude every day to do your own work, and the renewal function will be one of the clearest examples inside Anthropic of what AI-run operations look like. What you'll own in your first year The design of the renewal system: which work agents run end to end, which work goes to a person, and the handoff rules between them. A standard renewal that needs no person: a Claude-generated offer in product ahead of term end, accepted and provisioned automatically, with anything outside guidance routed to a seller with a recommended quote. The data the system runs on: contract, commit burndown and usage data clean enough that agents and people trust it, built with Billing and Finance. Early-warning signals for consumption risk and commitment shortfall, and what happens when one fires. The human layer: how internal specialists, outsourced partners and account teams work around the agents, and the measures they're held to. The next large renewal cycles, run with fewer manual steps per renewal than today. Weekly renewal and retention forecasts grounded in usage and contract data. Executive renewal conversations on the largest and most complex accounts, alongside account teams. You may be a good fit if you have Owned renewal, retention or post-sale outcomes at large scale, either running the function or leading the product or service that runs it for others. Led product or engineering teams and shipped software or agents that took over work people used to do. Run or designed a blended model of people, outsourced partners and software, and know where each one breaks. A working grasp of renewal economics: committed and consumption contracts, discount guidance, and the term, billing and CRM data behind them. Built things yourself recently. You can prototype with Claude, read the data and pressure-test an agent's output without waiting on someone else. Set direction with senior executives and held cross-functional teams to it without direct authority. Strong candidates may also have Usage-based pricing and commit burndown experience. Built health, churn or early-warning models that changed what teams did. Worked at a company whose product runs renewals, retention or quote-to-cash for its customers. Worked across regions, including marketplace or cloud-partner billing. Written or spoken publicly about agent-led customer operations. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key responsibilities Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company Minimum qualifications Expertise in Python, SQL, and data visualization tools. A bias for action and urgency, not letting perfect be the enemy of the effective. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. A deep curiosity and energy for pulling the thread on hard questions. Experience in turning open questions and data into concise and insightful analysis. Highly effective written communication and presentation skills. A passion for the company's mission of building helpful, honest, and harmless AI. Preferred qualifications 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context. 3+ years of experience deeply embedding in Product teams. Experience working on safety, anti-abuse, integrity shaped problems. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 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: Canada Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.   💥 What will you do? The Director of Finance at Merkle Science will be responsible for overseeing all financial operations, ensuring financial stability, and supporting strategic decision-making. This role involves managing the finance team, driving financial planning and analysis, and ensuring compliance with financial regulations. The ideal candidate will have a strong background in finance, excellent leadership skills, and a deep understanding of the technology and blockchain industry.     Responsibilities:  Financial Management: Oversee all financial operations and direct corporate financial planning and structure. Manage the preparation of financial reports, budgets, forecasts, and regulatory requirements. Ensure the accuracy and integrity of financial information and reporting. Develop and implement financial strategies to support the company's growth and profitability. Budgeting and Forecasting: Lead the budgeting process and quarterly forecasting updates. Monitor and analyse budget performance and implement corrective actions as necessary. Provide detailed financial analysis and modelling to support strategic initiatives.   Compliance and Strategic Planning: Ensure compliance with local, state, and federal financial regulations and standards. Develop and maintain policies and procedures to ensure financial governance. Partner with the executive team to develop and execute long-term financial strategies. Provide financial insights and recommendations to inform business decisions and strategies. Team Leadership and Stakeholder Communication Lead and mentor the finance team, fostering a culture of high performance and continuous improvement. Provide ongoing training and development opportunities for finance staff. Manage relationships with external auditors, investors, and financial institutions. Present financial reports and insights to the executive team, board of directors, and investors. Communicate financial performance and strategy to internal and external stakeholders. 👀  What are we looking for?    Education and Experience: Bachelor’s degree in finance, accounting, or a related field; MBA or CPA preferred. Minimum of 7 years of progressive experience in finance, with at least 3 years in a leadership role. Proven experience in the technology or blockchain industry is highly desirable.   Skills and Competencies: Strong knowledge of financial management, accounting principles, and financial regulations. Excellent analytical and problem-solving skills with a strategic mindset. Proficiency in financial software and tools, such as ERP systems, Excel, and financial modeling. Exceptional leadership and team management abilities. Strong communication and presentation skills, with the ability to convey complex financial information clearly. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Seoul, South Korea About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities Partners are a strategic focus for us as we move into our next stage of growth. We’re looking for a driven individual with energy, passion and initiative to drive partner awareness and channel new business for Workato. As a Partner Sales Manager, you will be key to accelerating Workato’s growth across South Korea. Working closely with our partner development, marketing and solution consulting teams, you will support our sales teams in driving opportunities with Workato partners. You’ll utilize a strategic sales mindset and execute effective channel strategies for revenue growth. The ideal candidate has a proven track record in partner sales, executive presence, enterprise sales, multi-department collaboration, strong relationship building skills and a deep understanding of the SaaS ecosystem. In this role, y ou will also be responsible to: Create, own and execute a Partner Strategy and Plan that will drive a “co-market, co-sell and co-delivery” motion, ensuring that we are consistently growing our mindshare and visibility in the territory with new logos and upsell opportunities. Reflecting the characteristics of the Korean enterprise market, establish Workato Enterprise MCP and AI orchestration messages in the partner ecosystem and lead joint sales and implementation models. Discover pipeline in line with major domestic partner entry patterns (legacy system integration as iPaaS, AI execution layer construction, etc.) and support partners in securing capabilities. Align closely with Enterprise Account Executives to develop partner-driven portfolio and pipeline plans. Identify the right Workato partner for each customer and prospect. Manage our most important partnership relationships in the territory, own executive level relationships whilst executing strategically important partnership initiatives aligned with the regional strategy. Recruit and on-board new partnerships that provide incremental opportunity to Workato in the region Pipeline generation. Design and execute pipeline generation activities with partners and sales teams. Understand the competitive landscape to ensure that Workato remains a ‘partner of choice’ and proactively present recommendations of how to stimulate business growth to executive management. Position yourself as an industry expert and establish relationships with potential partners and key decision-makers in the industry, attend industry events and present the benefits of the Workaro platform where required. Work closely with internal teams such as Product, Marketing, and Customer Success to ensure alignment and support for partner initiatives. Requirements Qualifications / Experience / Technical Skills Minimum of 7 years of experience in partner sales, business development or enterprise sales within the SaaS industry. Demonstrated success in recruiting, developing and managing strategic partnerships across GSIs and RSIs that drive significant revenue growth. Track record of successfully establishing AI governance and orchestration-related solutions in the market through cooperation with GSIs/RSIs and domestic consulting partners. In-depth understanding of Korean enterprise legacy systems such as SAP/Oracle ERP or experience in related partner cooperation. Experience in solution sales strategy and execution through Cloud Channels such as AWS Marketplace is preferred. A strong understanding of the iPaaS and Automation industry is desirable, or enterprise software platforms. Bachelor's degree in Business, Marketing, or a related field; MBA or relevant advanced degree is a plus. Willingness to travel as required to meet with partners and attend industry events. Soft Skills / Personal Characteristics You thrive under pressure, have high levels of productivity and work well with constant change and the ambiguity of a high growth business environment supported by an established HQ. Requires native-level Korean (writing and speaking) proficiency and excellent interpersonal and communication skills for partner onboarding, joint sales, and technical problem solving. You have a strong network of partners, experts and executives you have worked with over the years in a primarily partnerships role. Has strong relationships and networks with C-level and working-level staff of major Korean corporations and SI/solution partners. High ownership and flexibility to work proactively in a challenging initial Korean market environment and a small team centered on Singapore HQ. (REQ ID: 2808)

Location: Vancouver, Canada; Toronto, Canada Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world and a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As a Digital Insurance Project Manager, your core responsibility will be to oversee and manage the implementation of new and/or existing projects within CoverGo's operations. This role presents an exciting opportunity for an individual with a strong drive to lead transformative projects in the insurtech industry. What You Will Do Engage and manage relationships with clients and stakeholders Lead project planning sessions with the internal team and client's staff Support solution proposals for client pursuits, proposals, and PoCs Participate in proposal and POC processes (i.e. design, submission, and review) Support the creation of contracts and related communication with clients Identify and help secure growth opportunities for existing clients Manage project progress and adapt work as required Ensure projects meet deadlines Manage relationships with clients and stakeholders Host regular/weekly project review and create reports with key metrics about team and project status using company standard metrics Oversee all incoming and outgoing project documentation Identify and manage issues, risks, assumptions, and dependencies Continuously optimize and improve processes and the overall approach where necessary What We Need Bachelor's degree in computer science or a related technical field is a plus Atleast 5 years experience as a Project Manager Atleast 3 years experience in insurance Insurance domain knowledge is a must Strong client facing experience is a must Technical skills are a plus Has experience seeing projects through the full life cycle Excellent analytical skills and problem-solving skills Strong interpersonal skills and extremely resourceful Proven ability to complete projects according to outlined scope, budget, and timeline Self-motivated and able to work independently Able, willing, and excited to work in a fast-paced collaborative startup environment Must be based in Canada Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Singapore 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 Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. 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: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. 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: £195,000 — £245,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Warszawa, Poland; Sarajevo, Bosnia and Herzegovina; Bucharest, Romania; Belgrade, Serbia; Berlin, Germany; Lisboa, Portugal Workplace: fully Who We're Looking For An experienced engineer who knows distributed systems not just from documentation - but from production incidents, cluster tuning under load, and writing runbooks that people actually use. 👍 English: upper-intermediate+ 🌍 Location: Portugal, Poland, Romania, Bosnia Herzegovina, Serbia, Germany, Turkey, Armenia, Georgia, EU This is a long-term project with an expected duration of 3 years . At least 3 years of proven experience in: • Administration and operation of distributed messaging platforms, including RabbitMQ and Apache Kafka; • Operational management of Apache Spark workloads, including deployments, scalability, and monitoring; • Troubleshooting and support for distributed infrastructures and critical data environments; • Implementation of governance, security, and continuous monitoring practices for messaging and data platforms; • Production of technical documentation, architecture, and operational procedures. Proven experience of at least 2 years in: • AMQP, topics, queues, partitions, offsets, delivery guarantees, and message ordering; • Configuration and tuning of Kafka clusters and RabbitMQ environments in production; • DataOps practices and automation (Ansible, Terraform, Python/Bash scripts); • Advanced integration between messaging platforms and data pipelines Proven experience of at least 1 (one) year in: • Operation and administration of ingestion systems such as Debezium or Apache NiFi; • Docker and Kubernetes for managing containerized environments • Certification in messaging administration. What we offer Model: B2B contract with Bonapolia - one contract, one monthly invoice Rate: negotiated per candidate seniority and client budget Payment: monthly invoice, paid on the same schedule the client pays us (usually 30 days) Contract written under your country's law We handle the client-side paperwork: MSA, NDA, invoicing 🏢 About Bonapolia Bonapolia is a family-owned IT staff augmentation team based in Lisbon. We build engineering teams for product companies and IT consultancies across Europe and the US. More at bonapolia.com 📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role We’re seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of Aidoc’s Imaging Platform. In this role, you’ll lead complex, cross-organization initiatives and drive architectural strategy across multiple systems and teams, while staying close to the code and ensuring decisions are grounded in real-world implementation. You’ll work directly with engineering and product leadership to define how our platform evolves - ensuring scalability, reliability, and performance as we grow. You’ll partner with senior engineers across domains to establish technical standards, solve high-impact problems, and align the organization around key architectural principles. This role combines strategic architectural ownership with active technical contribution - you will stay close to the systems and code, ensuring architecture and reality evolve together. Responsibilities Lead company-wide or cross-team technical initiatives, ensuring architectural alignment across multiple product areas. Define and drive long-term technical strategy for the Imaging Platform in collaboration with engineering leadership. Provide architectural guidance, conduct design reviews, and mentor senior and staff engineers. Lead and formalize engineering best practices around performance, reliability, and observability. Contribute hands-on to architectural spikes and first-of-a-kind implementations where deep expertise is required. Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness. Represent the group in company-wide architecture discussions and technical forums Requirements 15+ years of professional experience building large-scale, distributed software systems. Proven track record in technical leadership roles, delivering complex cross-functional projects. Deep understanding of architecture, scalability, data consistency, and fault tolerance. Experience with cloud infrastructure (AWS or equivalent), distributed computing, and modern DevOps practices. Strong coding skills in one or more modern backend languages (e.g., Python, Go, Node.js, Java, C#). Experience designing and scaling event-driven architectures and data-intensive systems. Strong technical leadership skills - able to align technical directors and executives towards a shared technical vision. Applies first-principles thinking to guide teams through design trade-offs and technical decisions with lasting impact Advantage: Experience working in healthcare or familiarity with medical data standards (DICOM, HL7, FHIR), Electronic Health Record (EHR) systems. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Dhahran, Saudi Arabia Eram Talent is seeking a qualified Oil & Gas Training Instructor (Operations) to lead and deliver comprehensive training programs within the oil and gas sector in Saudi Arabia. The ideal candidate will have extensive knowledge of oil and gas operations and proven experience in training and development, ensuring operational excellence and workforce competency. In this role, you will design, develop, and conduct training sessions tailored to operational staff, focusing on industry best practices, safety standards, and efficiency improvements. Responsibilities Develop and deliver training programs related to oil and gas operations. Assess training needs and tailor programs to meet organizational requirements. Use a variety of instructional techniques and formats, such as simulations, hands-on workshops, and e-learning. Evaluate trainee progress and provide constructive feedback to enhance learning. Ensure all training materials comply with industry standards and regulations. Collaborate with operational teams to align training content with current practices and challenges. Maintain training records and documentation for auditing and compliance purposes. Requirements Bachelor’s degree in Chemical Engineering, Petroleum Engineering, Operations Management, or a related field. IELTS / TOEFL is strongly preferred. Minimum 7 years of practical experience in oil and gas operations. Proven experience as a training instructor or facilitator, preferably within the oil and gas industry. Familiar with : - Oil and Gas operations - Petrochemical Chemical - Plant Control - Oil Separation - Refinery Operator - Control Man - Terminal - Fractionation - Hydrogen - Isomerization - Tank Farm - Console Operator - Water Treatment - Well Services - Wireline - Well Completion - Start-up - Shut Down

Location: New York City, NY; San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth. Key responsibilities Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes Present analyses and recommendations to both technical and non-technical stakeholders, including GTM leadership Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration Minimum qualifications Proficiency in Python, SQL, and data visualization tools Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences Strong written communication and presentation skills Ability to work effectively in fast-moving, ambiguous environments — comfortable creating structure and driving progress where neither yet exists Preferred qualifications 5+ years of experience in data science or analytics roles A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem Genuine interest in Anthropic's mission of developing safe and beneficial AI The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 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: New York Workplace: hybrid Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary: Here's the honest pitch: field sales is a brand-new motion at Filevine, and we're looking for the person who builds it. Not runs a proven playbook — writes it. You'll be the first Filevine salesperson to plant a flag in your territory, and everything you learn on the ground becomes the blueprint for the reps who come after you. If "figure it out and build it from scratch" makes you lean in rather than flinch, keep reading. This is a true outside sales role. You'll be in the field at least four days a week — walking into law firms, meeting paralegals and attorneys face-to-face, working bar association events, and becoming the most familiar name in your territory for deposition services. This isn't an email job. It's not a Zoom job. You win by showing up — consistently, professionally, and with something useful to say every time. You'll also need range: the ability to build rapport in the reception area and get your foot in the door with a paralegal, and the sophistication to sit across from a managing partner and hold your own on price, value, and strategy. This is a premium-priced product in a market full of commodity providers — so you have to be able to sell the difference, not just the service. If you love the rhythm of door-to-door selling, can navigate a downtown legal corridor, and have the discipline to run a territory like your own small business, you'll thrive here. There is no ceiling on your earnings. Territory will cover New York and New Jersey area. Regular travel to these areas is expected as part of this role What You'll Do Build the playbook. As the first rep in your territory, you'll test what works, document it, and help shape the model Filevine scales from. Your wins and your lessons both matter. Own a defined geographic territory and build a daily route plan that maximizes face-to-face time with litigation attorneys, paralegals, legal assistants, and firm administrators. Spend at least four days per week in the field — walking into firms, dropping by reception, scheduling lunches, and turning every visit into a relationship. Get your foot in the door at every level: earn trust with paralegals and legal staff, then work your way up to the conversations with managing partners and firm administrators who sign off on the deal. Sell Filevine's full deposition stack — court reporting, remote depositions, and AI-powered products including Depo CoPilot — as a premium offering in a commodity market. You'll own the "why we're worth it" story. Drive initial customer enablement, training, and product adoption — get new firms up and running, walk them through their first depositions, and make sure they're confident with the product. (A dedicated in-house team handles full, ongoing trainings; your job is to spark and seed adoption.) Attend local and regional industry events: bar association meetings, CLEs, paralegal association mixers, and trial lawyer chapters. Be the visible Filevine presence in your market. Run disciplined prospecting: outbound calls, drop-bys, follow-ups, and a tight cadence on every account. Maintain accurate, up-to-date records of every visit, conversation, and opportunity in CRM (Salesforce). Forecast projected targets and deals. Partner closely with Operations, Scheduling, and Client Success to deliver a seamless deposition experience. You'll Crush This Role If You Have 3–5+ years of outside sales experience, ideally B2B and in a field/territory model. A builder's mindset — you're energized by white space, ambiguity, and being the one who figures out what works before there's a manual for it. A proven track record of building a book of business from in-person relationships — not inbound leads. The range to connect with anyone in the building: warm and credible with a paralegal, sharp and strategic with a managing partner. Demonstrated ability to learn a new industry quickly and translate insights to subject-matter experts (in this case, litigators). Comfort selling a premium product against cheaper alternatives — you know how to make value the conversation instead of price. High activity, high agency: you build your own pipeline, run your own day, and don't wait for marketing to hand you names. Comfort walking into a law firm cold, navigating gatekeepers, and earning a first conversation. A valid driver's license and reliable transportation; you live in or near your assigned territory. Nice to Have Prior experience selling into law firms or to attorneys — court reporting, legal videography, e-discovery, medical records retrieval, or legal tech. An existing network in the local legal community. A referral network of attorneys, court reporters, videographers, and adjacent service providers. Familiarity with deposition workflows, litigation timelines, and how legal services are purchased. Why Filevine A real territory you can grow into a business. Best-in-class deposition product, including AI tools that no traditional provider can match. Marketing, ops, and client success teams built to make field reps successful. Career path into senior sales, leadership, or strategic account roles as Filevine Depositions scales. Comprehensive benefits, including [Medical / Dental / Vision  / PTO / etc.   Compensation Information: $100,000 - $140,000 base + commission   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: Chicago, IL Workplace: hybrid Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. About the Role Here's the honest pitch: field sales is a brand-new motion at Filevine, and we're looking for the person who builds it. Not runs a proven playbook — writes it. You'll be the first Filevine salesperson to plant a flag in your territory, and everything you learn on the ground becomes the blueprint for the reps who come after you. If "figure it out and build it from scratch" makes you lean in rather than flinch, keep reading. This is a true outside sales role. You'll be in the field at least four days a week — walking into law firms, meeting paralegals and attorneys face-to-face, working bar association events, and becoming the most familiar name in your territory for deposition services. This isn't an email job. It's not a Zoom job. You win by showing up — consistently, professionally, and with something useful to say every time. You'll also need range: the ability to build rapport in the reception area and get your foot in the door with a paralegal, and the sophistication to sit across from a managing partner and hold your own on price, value, and strategy. This is a premium-priced product in a market full of commodity providers — so you have to be able to sell the difference, not just the service. If you love the rhythm of door-to-door selling, can navigate a downtown legal corridor, and have the discipline to run a territory like your own small business, you'll thrive here. There is no ceiling on your earnings What You'll Do Build the playbook. As the first rep in your territory, you'll test what works, document it, and help shape the model Filevine scales from. Your wins and your lessons both matter. Own a defined geographic territory and build a daily route plan that maximizes face-to-face time with litigation attorneys, paralegals, legal assistants, and firm administrators. Spend at least four days per week in the field — walking into firms, dropping by reception, scheduling lunches, and turning every visit into a relationship. Get your foot in the door at every level: earn trust with paralegals and legal staff, then work your way up to the conversations with managing partners and firm administrators who sign off on the deal. Sell Filevine's full deposition stack — court reporting, remote depositions, and AI-powered products including Depo CoPilot — as a premium offering in a commodity market. You'll own the "why we're worth it" story. Drive initial customer enablement, training, and product adoption — get new firms up and running, walk them through their first depositions, and make sure they're confident with the product. (A dedicated in-house team handles full, ongoing trainings; your job is to spark and seed adoption.) Attend local and regional industry events: bar association meetings, CLEs, paralegal association mixers, and trial lawyer chapters. Be the visible Filevine presence in your market. Run disciplined prospecting: outbound calls, drop-bys, follow-ups, and a tight cadence on every account. Maintain accurate, up-to-date records of every visit, conversation, and opportunity in CRM (Salesforce). Forecast projected targets and deals. Partner closely with Operations, Scheduling, and Client Success to deliver a seamless deposition experience. You'll Crush This Role If You Have 3–5+ years of outside sales experience, ideally B2B and in a field/territory model. A builder's mindset — you're energized by white space, ambiguity, and being the one who figures out what works before there's a manual for it. A proven track record of building a book of business from in-person relationships — not inbound leads. The range to connect with anyone in the building: warm and credible with a paralegal, sharp and strategic with a managing partner. Demonstrated ability to learn a new industry quickly and translate insights to subject-matter experts (in this case, litigators). Comfort selling a premium product against cheaper alternatives — you know how to make value the conversation instead of price. High activity, high agency: you build your own pipeline, run your own day, and don't wait for marketing to hand you names. Comfort walking into a law firm cold, navigating gatekeepers, and earning a first conversation. A valid driver's license and reliable transportation; you live in or near your assigned territory. Nice to Have Prior experience selling into law firms or to attorneys — court reporting, legal videography, e-discovery, medical records retrieval, or legal tech. An existing network in the local legal community. A referral network of attorneys, court reporters, videographers, and adjacent service providers. Familiarity with deposition workflows, litigation timelines, and how legal services are purchased. Why Filevine A real territory you can grow into a business. Best-in-class deposition product, including AI tools that no traditional provider can match. Marketing, ops, and client success teams built to make field reps successful. Career path into senior sales, leadership, or strategic account roles as Filevine Depositions scales. Comprehensive benefits, including [Medical / Dental / Vision / 401(k) / PTO / etc.].   Compensation Information: $100,000 - $140,000 base + commission   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.