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Location: Canberra, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for an experienced National Security practitioner to guide our strategic engagements with Asia-Pacific national security and intelligence communities. Working closely with the national security team based in the US and the APAC policy team, this senior role will help to shape Anthropic's approach to national security policy and partnerships in APAC during a critical period in AI development and governance. You will be the day to day point of contact with national security partners in the Asia-Pacific, translating technological developments for national security audiences and building mutually beneficial collaborations.. You will also work closely with our APAC public sector sales team to support public sector deployment of Claude in high-leverage use cases that strengthen national security, enhance government efficiency, and accelerate allied competitiveness to promote regional peace and security. This role is based in Australia. This job will also require travel across the Asia-Pacific region and to the United States. In this role you will: Lead policy engagement with APAC national security partners on issues related to government use and national security implications of frontier models Engage key NatSec policy stakeholders (e.g., via briefings, consultations, demos, roundtables), in coordination with the wider national security and APAC policy teams. Partner with the APAC public sector sales team to support commercial efforts involving government agency deployments Support and promote public-private research collaborations Build a coalition of government agencies, nonprofits, safety institutes, think tanks and academics to in APAC to share knowledge around national security issues and ensure the safe and responsible adoption of frontier AI Collaborate with technical teams to translate Anthropic threat model research into concrete policy proposals, stakeholder education, and thought leadership opportunities You may be a good fit if you: Have 10+ years of experience working in national security agencies, or a combination of government and related private sector experience Are high-agency, able to develop and execute strategy independently, taking account of dependencies with other cross-functional teams within Anthropic (including but not limited to policy, go-to-market, trust and safety, legal, product, research, comms, and marketing) Possess strong written and verbal communication skills, particularly when briefing policymakers and government officials Have demonstrated interest and experience in a complicated technical subject (ideally, AI, but other examples could be quantum computing, cryptography, fusion power, etc.) Have had some legal training in or exposure to contract negotiation Are willing/able to participate in a process to obtain/retain a security clearance in Australia 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: Australia What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Channel Account Management Location: Remote Australia Compensation Range: $130,500 AUD base with an on target earnings at $217,500, plus equity What You’ll Do: Senior Channel Account Managers at Huntress play a critical role in driving revenue through engagement, expansion, and retention across our partner base. This role is critical in expanding our relationships with our partners while helping them deliver cybersecurity solutions to their customers through the Huntress platform. You know how to turn partner relationships into durable growth. In this role, you will drive growth as a trusted advisor who understands what partners need to succeed with Huntress. You are outcome-obsessed in the way that matters here. You care about net dollar retention, gross dollar retention, partner satisfaction, and whether your work actually helps partners deliver stronger cybersecurity outcomes to their customers. This is a high-impact, high-visibility sales role that reports to the manager of channel account management. Its success will be measured by expansion and retention metrics. This role will report to the Manager of Account Management APAC. Responsibilities: Achieve and exceed quota based on expansion performance and renewal outcomes Serve as a trusted advisor to partners by delivering solutions that increase customer satisfaction, grow adoption, and strengthen long-term loyalty Build and maintain strong relationships with multiple stakeholders across assigned partner organizations Maintain and reinforce Huntress culture in how you show up, collaborate, and support partners Work cross-functionally with internal teams including Sales, Marketing, Support, SEs, TAMs, and leadership to remove blockers and improve the customer experience Maintain strong operational hygiene in CRM, document customer activity clearly, and keep next steps and opportunities moving forward Use AI tools to prepare for partner meetings, summarize calls, and stay organized so you can move faster with sound judgment What You Bring To The Team: 5+ years of experience in account management, customer success, partner success, or channel or direct sales roles, ideally focused on mid-market and below. Strong knowledge of the MSP space, preferably in the cybersecurity industry. Experience using Salesforce or a similar CRM platform to manage partner activity and opportunities. A genuine passion for the partner community and for helping partners deliver meaningful cybersecurity outcomes. A strong bias to action and the ability to get things done efficiently and effectively. Comfort using AI in practical day-to-day work, including call summaries, account prep, and follow-up support. What We Offer: Fully remote work At least one annual trip to the US for Summer Summit, with additional local events in Australia! New starter home office set up reimbursement ($800 AUD) 12 weeks paid parental leave for both primary and secondary carers Monthly digital allowance for personal phone and internet costs ($185 AUD) Monthly home office tech stipend to upgrade or replace equipment ($40 AUD) Subsidised private health insurance through our preferred provider Stock options for all full-time employees Access to the BetterUp platform for coaching, personal, and professional growth People from all culturally diverse backgrounds, including Aboriginal & Torres Strait Islander Peoples, are encouraged to apply. Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Australia What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Channel Account Management Location: Remote Australia Compensation Range: $96,000 AUD base with an on target earnings at $160,000, plus equity What You’ll Do: Channel Account Managers are part of a team at Huntress who play a critical role in driving revenue through engagement, expansion, and retention across our partner base. This role is critical in expanding our relationships with our partners while helping them deliver cybersecurity to their customers through the Huntress platform. As an individual contributor, your primary measures of success will be net dollar retention, gross dollar retention, partner loyalty, and satisfaction. This is a high-impact, high-visibility sales role that reports to the Manager of Account Management. Its success will be measured by expansion and retention metrics. Responsibilities: Act as a trusted advisor to customers, delivering solutions that increase satisfaction, strengthen Huntress adoption, and create measurable value across their environment Own and grow relationships with multiple contacts inside assigned customer organizations Drive renewals and expansion opportunities across your book of business, including upsell and cross-sell motions where appropriate Contribute to team goals around retention, expansion, and customer satisfaction Work cross-functionally with internal teams including Sales, Marketing, Support, SEs, TAMs, and leadership to remove blockers and improve the customer experience Maintain strong operational hygiene in CRM, document customer activity clearly, and keep next steps and opportunities moving forward Use AI tools to prepare for partner meetings, summarise calls, and stay organized so you can move faster with sound judgment What You Bring To The Team: 2+ years of experience in account management, direct customer sales, or a similar post-sales or commercial role Strong experience in SaaS, preferably related to the cybersecurity industry Experience with Salesforce or other similar CRM platforms Strong bias to action and the ability to get things done efficiently and effectively Ability to manage multiple stakeholders, maintain momentum on renewals and expansion conversations, and communicate clearly across internal and external teams Commercial curiosity and sound judgment in balancing customer outcomes with business growth, & confidence building relationships with both customers and partners What We Offer: Fully remote work At least one annual trip to the US for Summer Summit, with additional local events in Australia! New starter home office set up reimbursement ($800 AUD) 12 weeks paid parental leave for both primary and secondary carers Monthly digital allowance for personal phone and internet costs ($185 AUD) Monthly home office tech stipend to upgrade or replace equipment ($40 AUD) Subsidised private health insurance through our preferred provider Stock options for all full-time employees Access to the BetterUp platform for coaching, personal, and professional growth People from all culturally diverse backgrounds, including Aboriginal & Torres Strait Islander Peoples, are encouraged to apply. Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI. Schedule & Caseload:

You'll be the product manager who finds that out. You'll talk to customers, use the product in real AI-assisted workflows, test ideas quickly with our designer and engineers, and build the measurement that tells us what's working.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Chemistry and Computational Chemistry specialists to contribute to a specialized AI training and evaluation project focused on advanced scientific reasoning. We welcome candidates with a Master's degree or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related discipline. We particularly value PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles, as well as researchers with strong practical laboratory or computational experience. Candidates should have deep expertise in at least one relevant chemistry specialization and the ability to evaluate complex scientific problems, workflows, and reasoning processes. CONTRACT: Contractor LOCATION: US, Canada, Australia, New Zealand, UK, and selected Southeast Asian countries EDUCATION: Master's or PhD required. ENGLISH: C1 or higher. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique advanced chemistry and computational chemistry problems, workflows, and scientific reasoning chains. Provide expert-level insights into reaction mechanisms, synthesis planning, spectroscopy interpretation, molecular simulations, and electronic structure methods. Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy, reliability, and reproducibility. Analyze chemical, spectroscopic, and computational data and provide scientifically grounded recommendations. Assess AI-generated chemistry solutions for technical accuracy, logical consistency, and scientific validity. Contribute domain expertise to the development and validation of chemistry-focused AI models and benchmarking initiatives. Review complex scientific problems and identify methodological errors, unsupported conclusions, and gaps in reasoning. Document findings, methodologies, and scientific best practices. Communicate technical findings clearly to researchers, engineers, and other project collaborators. Requirements Master's or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related scientific discipline. Substantial hands-on research or professional experience in a relevant chemistry specialization. Experimental chemistry candidates must demonstrate practical wet-lab experience. Computational chemistry candidates must demonstrate substantial computational or simulation-based research experience. PhD holders with industry experience in software engineering, data science, computational science, or related technology roles are particularly encouraged to apply. Deep expertise in at least one of the listed chemistry disciplines. Professional written and spoken English proficiency at C1 level or higher. Proficiency in Python and/or relevant scientific software. Excellent quantitative, analytical, and scientific reasoning skills.

Location: Thailand; Indonesia; Malaysia; Singapore; Vietnam; Philippines About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Chemistry and Computational Chemistry specialists to contribute to a specialized AI training and evaluation project focused on advanced scientific reasoning. We welcome candidates with a Master's degree or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related discipline. We particularly value PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles, as well as researchers with strong practical laboratory or computational experience. Candidates should have deep expertise in at least one relevant chemistry specialization and the ability to evaluate complex scientific problems, workflows, and reasoning processes. CONTRACT: Contractor LOCATION: US, Canada, Australia, New Zealand, UK, and selected Southeast Asian countries EDUCATION: Master's or PhD required. ENGLISH: C1 or higher. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique advanced chemistry and computational chemistry problems, workflows, and scientific reasoning chains. Provide expert-level insights into reaction mechanisms, synthesis planning, spectroscopy interpretation, molecular simulations, and electronic structure methods. Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy, reliability, and reproducibility. Analyze chemical, spectroscopic, and computational data and provide scientifically grounded recommendations. Assess AI-generated chemistry solutions for technical accuracy, logical consistency, and scientific validity. Contribute domain expertise to the development and validation of chemistry-focused AI models and benchmarking initiatives. Review complex scientific problems and identify methodological errors, unsupported conclusions, and gaps in reasoning. Document findings, methodologies, and scientific best practices. Communicate technical findings clearly to researchers, engineers, and other project collaborators. Requirements Master's or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related scientific discipline. Substantial hands-on research or professional experience in a relevant chemistry specialization. Experimental chemistry candidates must demonstrate practical wet-lab experience. Computational chemistry candidates must demonstrate substantial computational or simulation-based research experience. PhD holders with industry experience in software engineering, data science, computational science, or related technology roles are particularly encouraged to apply. Deep expertise in at least one of the listed chemistry disciplines. Professional written and spoken English proficiency at C1 level or higher. Proficiency in Python and/or relevant scientific software. Excellent quantitative, analytical, and scientific reasoning skills.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning. We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply. Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome. CONTRACT: Contractor LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC. EDUCATION: Master's or PhD preferred; equivalent relevant experience considered. ENGLISH: C1 minimum. PROJECT: AI training and benchmarking in biology and bioinformatics. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines. Assess and optimize computational pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including: Next-Generation Sequencing (NGS) data. RNA sequencing and single-cell datasets. Genomic variants and variant calling results. Protein structures and proteomics data. Molecular and cellular biology datasets. Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility. Identify analytical errors, methodological limitations, and opportunities for improving computational workflows. Contribute domain expertise to the development and validation of biology-related AI models and tools. Document findings, methodologies, and best practices to support knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Requirements Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline. Equivalent professional industry or research experience may also be considered. Deep expertise in at least one relevant biological or computational specialization. Hands-on experience analyzing real biological datasets. PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged. Proficiency in Python and/or R. Experience with relevant scientific tools, depending on specialization. Professional written and spoken English proficiency at C1 level or higher. Strong statistical, quantitative, and analytical reasoning skills.

Location: India; Australia; Japan; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning. We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply. Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome. CONTRACT: Contractor LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC. EDUCATION: Master's or PhD preferred; equivalent relevant experience considered. ENGLISH: C1 minimum. PROJECT: AI training and benchmarking in biology and bioinformatics. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines. Assess and optimize computational pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including: Next-Generation Sequencing (NGS) data. RNA sequencing and single-cell datasets. Genomic variants and variant calling results. Protein structures and proteomics data. Molecular and cellular biology datasets. Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility. Identify analytical errors, methodological limitations, and opportunities for improving computational workflows. Contribute domain expertise to the development and validation of biology-related AI models and tools. Document findings, methodologies, and best practices to support knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Requirements Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline. Equivalent professional industry or research experience may also be considered. Deep expertise in at least one relevant biological or computational specialization. Hands-on experience analyzing real biological datasets. PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged. Proficiency in Python and/or R. Experience with relevant scientific tools, depending on specialization. Professional written and spoken English proficiency at C1 level or higher. Strong statistical, quantitative, and analytical reasoning skills.

Location: Thailand; Indonesia; Malaysia; Singapore; Vietnam; Philippines About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning. We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply. Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome. CONTRACT: Contractor LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC. EDUCATION: Master's or PhD preferred; equivalent relevant experience considered. ENGLISH: C1 minimum. PROJECT: AI training and benchmarking in biology and bioinformatics. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines. Assess and optimize computational pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including: Next-Generation Sequencing (NGS) data. RNA sequencing and single-cell datasets. Genomic variants and variant calling results. Protein structures and proteomics data. Molecular and cellular biology datasets. Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility. Identify analytical errors, methodological limitations, and opportunities for improving computational workflows. Contribute domain expertise to the development and validation of biology-related AI models and tools. Document findings, methodologies, and best practices to support knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Requirements Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline. Equivalent professional industry or research experience may also be considered. Deep expertise in at least one relevant biological or computational specialization. Hands-on experience analyzing real biological datasets. PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged. Proficiency in Python and/or R. Experience with relevant scientific tools, depending on specialization. Professional written and spoken English proficiency at C1 level or higher. Strong statistical, quantitative, and analytical reasoning skills.

Location: Spain; Poland At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence and enable them to take ownership and contribute at every level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed. We are looking for a Staff Full-Stack Software Engineer with strong AI expertise to join our team and contribute to the development of complex, large-scale technology solutions for our international client. About the project Our client, Blackhawk Network (BHN) , is a global leader in branded payments, gift cards, and digital commerce solutions. The company operates a large ecosystem of platforms and services supporting gift card issuance, distribution, payment processing, redemption, and reloads. Its portfolio also includes digital gift cards, incentives, rewards, promotional products, and various digital payment solutions. BHN develops and maintains multiple e-commerce platforms and core services that power the management and distribution of these products across a complex international ecosystem. You will have the opportunity to work in a large-scale engineering environment, collaborating with distributed teams across the United States, India, and EU locations. About the role As a Staff Full-Stack Software Engineer , you will play a key technical role in designing, developing, and evolving scalable software solutions. This is a highly hands-on engineering position that combines deep technical expertise, architectural thinking, and the ability to influence engineering decisions across multiple teams. We are looking for an engineer who can confidently navigate complex technical challenges, take ownership of end-to-end solutions, and contribute to the adoption of modern engineering practices, including AI-driven technologies. Technology flexibility is important to us. While experience with JavaScript/TypeScript ecosystems or Java is preferred, we are open to engineers with strong expertise in other modern technology stacks. As a qualified expert You will Design, develop, and maintain scalable, reliable, and high-performance full-stack applications and services. Take technical ownership of complex engineering initiatives, from solution design and architectural decisions to implementation and delivery. Contribute to system architecture, ensuring scalability, maintainability, security, and long-term technical sustainability. Work hands-on across frontend, backend, APIs, integrations, and cloud-based components. Collaborate with engineering teams to identify technical challenges, evaluate trade-offs, and implement effective solutions. Explore and apply AI technologies and AI-assisted engineering practices to improve development efficiency, solution quality, and product capabilities. Provide technical guidance, share engineering best practices, and support other engineers in solving complex problems. Drive improvements in code quality, engineering standards, system performance, and development processes. Collaborate closely with product managers, architects, engineers, and business stakeholders to translate requirements into effective technical solutions. Communicate architectural decisions and technical trade-offs clearly to both technical and non-technical audiences. Work effectively with geographically distributed, cross-functional teams in a multicultural environment. We're looking for you if you have Technical expertise Extensive hands-on experience in software engineering, with a strong background in full-stack application development. Deep understanding of software architecture, system design, design patterns, and engineering best practices. Proven ability to design and deliver complex, scalable, and maintainable software solutions. Strong proficiency in modern backend and frontend technologies. Experience with Node.js, TypeScript, JavaScript, React, Next.js, or Java is preferred, but other technology stacks are welcome. Solid experience with API design, distributed systems, service integrations, and modern application architectures. Good understanding of AWS cloud infrastructure, services, and cloud-native application development. Experience working with complex systems in large-scale engineering environments. Strong problem-solving skills and the ability to make independent, well-reasoned technical decisions. Ability to balance hands-on implementation with broader architectural and technical responsibilities. AI expertise Strong practical understanding of modern AI technologies, their capabilities, limitations, and potential applications in software engineering. Hands-on experience applying AI technologies or advanced AI-assisted development approaches to real engineering challenges. Familiarity with LLMs, generative AI technologies, and modern AI development tools and frameworks. Ability to evaluate opportunities for AI adoption, identify appropriate use cases, and assess technical feasibility. Understanding of how AI can be incorporated into software development workflows or product functionality to deliver measurable value. Communication and leadership Excellent communication and interpersonal skills, with the ability to collaborate effectively across multiple teams and disciplines. Proven experience working with distributed, international, and multicultural engineering teams. Ability to communicate effectively with stakeholders at different levels, including engineers, architects, product teams, and business representatives. Strong technical leadership skills, including the ability to influence architectural decisions, facilitate technical discussions, and drive alignment across teams. Proactive mindset, strong ownership, accountability, and the ability to work independently in a complex organizational environment. Ability to navigate ambiguity, manage competing priorities, and build productive relationships across teams. Upper-Intermediate (B2+) English or higher , with confidence in technical discussions and stakeholder communication. Bonus Points Experience working with large enterprise platforms, e-commerce systems, digital payments, or fintech solutions. Experience with AI-powered product features, LLM integrations, RAG architectures, or other applied AI solutions. Experience optimizing engineering processes through AI-powered automation. Experience contributing to architecture and technical strategy across multiple engineering teams. Previous experience in a Staff Engineer, Principal Engineer, or similar technical leadership role. What's in it for You Reveal great tech solutions. Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment. Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth. Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about. Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with Recruiter Technical Interview Managerial Interview Client Interview

Location: Riyadh, Saudi Arabia Role Summary The SOC L2 Specialist delivers SMC's managed security operations service. The role handles escalated alerts from L1, leads incident response, and supervises day-to-day SOC activity. Key Responsibilities Investigate and triage alerts escalated from L1 analysts, and confirm or close them with clear reasoning Lead incident response: containment, eradication, recovery and root cause analysis Perform deep-dive analysis of logs, network traffic, endpoint telemetry and email threats Tune SIEM correlation rules and use cases to reduce false positives Run threat hunting based on threat intelligence and MITRE ATT&CK Create and maintain incident response playbooks and SOAR workflows Supervise and mentor L1 analysts, review their work, and manage shift handovers Write incident reports and present findings to technical and management stakeholders Report incidents in line with NCA requirements and SMC's escalation matrix Track SOC KPIs such as MTTD, MTTR and SLA compliance. Requirements Bachelor's degree in Cybersecurity, Computer Science, IT or related field 4–6 years in a SOC, with at least 2 years at L2 level Strong hands-on SIEM experience (Splunk, IBM QRadar, Microsoft Sentinel, or similar) Experience with EDR/XDR (CrowdStrike, Defender for Endpoint, SentinelOne) and SOAR platforms Solid knowledge of MITRE ATT&CK, the cyber kill chain, malware analysis basics and network protocols Experience in an enterprise or managed SOC (MSSP) environment Saudi national, fluent in Arabic and English Willing to support on-call or shift rotation if required Preferred Certifications GCIH, GCIA, CySA+, CEH, Splunk Core Certified Power User, Microsoft SC-200, IBM QRadar certification

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 Horizons The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models. About the role We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows. You may be a good fit if you: Have experience in cybersecurity research. Have experience with machine learning. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges. Academic research experience in cybersecurity. Familiarity with RL techniques and environments. Familiarity with LLM training methodologies. 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: $500,000 — $850,000 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: Kuwait, Kuwait Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The team As Deliveroo continues to scale, we become a major revenue channel for restaurants - aside from providing best-in-class support, we are restaurant consultants who use data-driven insight and industry knowledge to help our partner restaurants grow. Our account management team owns and manages restaurant relationships. We are restaurant consultants who use data-driven analytics and industry knowledge to provide best-in-class support and strategic value to our restaurant partners. The Account Managers are a passionate, dynamic group of team players who work well together and cross-functionally with other departments, and of course, they’re fun, personable, and great at building exceptional relationships. Role Overview As a Mid Market Team Lead, you will lead and develop a team of account managers responsible for managing Mid Market partners, including local gems and national chains. Your primary focus will be to support your team, set clear priorities, and define the growth strategy for this restaurant segment. You will work closely with account managers on their partner portfolios, getting directly involved with top or complex partners’ commercial negotiations or where needed, and ensuring partners are consistently meeting performance targets. This role requires strong people leadership, strategic thinking, and the ability to balance hands-on support with scalable impact. What You Will Be Doing Manage, coach, and develop a team of Account Managers managing restaurant partners Drive adoption and sell Deliveroo tools and features to partners Set clear goals, priorities, and performance expectations for the team Define and own the growth strategy for your restaurant segment Get directly involved with top-tier or complex partners when required Drive consistent operational excellence through performance reviews Identify risks, challenges, and opportunities across the segment and act early Collaborate cross-functionally to remove blockers and improve partner outcomes Scale best practices, tools, and ways of working across the team What Skills You Will Need 5+ years in a commercial role, with 3+ years of proven experience managing a complex team Strong understanding of restaurant marketplace dynamics and performance drivers Commercial mindset with the ability to guide negotiations and growth discussions Data-driven approach to performance management and decision-making Strong stakeholder management and communication skills Ability to coach, influence, and support others rather than owning all execution Comfortable operating in fast-paced, changing environments with high ownership Fluent in English and Arabic Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎A culture built for builders High standards, collaboration, flexible working and continuous learning. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Remote Canada; Remote UK; Remote Italy Workplace: Remote InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com. We are building the next generation of InfluxDB, a high-performance time series database. This includes columnar storage, a DataFusion-based query engine, and data transformation pipelines. This team works alongside our platform team to build a distributed, cloud-native database that is highly available and scalable. We are seeking a highly skilled senior engineer with strong experience in both a systems programming language and in distributed systems or database systems. Our team is 100% distributed and remote, and we are looking for someone who is comfortable working with fast-moving requirements and a high degree of autonomy. On-call is required for this role.   WHAT YOU'LL BE WORKING ON - Design and implement new features for InfluxDB 3. Current areas of ownership include Import/Export, Data Transformation Pipelines (the Processing Engine), and WebUI integration. - Debug and fix issues, including performance bottlenecks, memory leaks, and other production issues. - Work directly with the platform team to improve the operational aspects of InfluxDB 3, including monitoring, alerting, and observability. - Be part of a production on-call rotation, triaging and debugging issues as they arise. WHAT WE'RE LOOKING FOR - 8+ years of professional software experience - Deep knowledge of at least one of Rust, C++, or Go (Rust preferred) - Experience building high-throughput, low-latency systems in a distributed environment - Experience with high-availability, fault-tolerant systems - Proficiency in working closely with product managers, sales, and support to understand customer needs and translate them into technical requirements - Demonstrated the ability to use AI coding tools in day-to-day workflows. You can critique, validate, and refine AI-generated output IT'S A PLUS IF YOU HAVE - Experience with Python, the language for Processing Engine plugins - Experience with WebAssembly, our runtime for embedding the frontend in the database - Knowledge of consensus protocols and distributed databases Interview Information: Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage. Our Core Values Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values: - We value each other - We get stuff done - We believe humility drives learning - We embrace failure - We are committed to open source Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData. To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.  InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place. Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.

Основная задача специалиста — создавать сложные, но реалистичные и проверяемые security-сценарии, в которых LLM-модели совершают ошибки именно из-за недостатков в рассуждении (reasoning) , а не из-за неоднозначных инструкций или ограничений среды.

Location: Dallas Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Legal Engineer Associate, you’ll play a critical role in ensuring our law firm and in-house customer users are set up for success. You will deliver tailored training, create education strategies that align with legal workflows, and serve as a trusted guide to customers adopting Harvey across practice groups and legal departments. Your legal training and experience will allow you to connect deeply with our users, helping them to translate their own legal acumen into productive and innovative use of Harvey’s platform. You’ll work across a diverse range of clients, primarily mid-market and enterprise customers, and partner closely with Sales, Customer Success, and Product. This is a high-impact, customer-facing role ideal for someone with a few years of legal practice experience and a passion for shaping the future of legal work. WHAT YOU'LL DO - Deliver engaging and customized product training to attorneys at leading law firms and corporate legal departments - Partner with Account Executives and Customer Success Managers and more senior Legal Engineers to understand client goals to design and deliver enablement sessions that maximize value - Support onboarding, expansion, and renewal efforts by ensuring users are confident and proficient with the platform - Gather feedback from training sessions and pass insights to Product and Engineering teams to inform development - Build scalable training content, including documentation, videos, and quick reference guides tailored to practice areas - Evangelize Harvey internally and externally as a leader in AI-powered legal technology WHAT YOU HAVE - A J.D. and typically 1–3 years of relevant practical experience in legal practice, legal technology or a related role. - Practical experience building agents, prompts or workflows for legal use cases, plus the legal judgment to know when you need guidance. We are interested in what you have built and how you tested and improved it. - Clear communication, curiosity about AI and the ability to become fluent in a product quickly through hands-on use. - An appetite for frequent customer interactions, repeatable delivery and detailed work on useful customer resources. - Strong follow-through and comfort incorporating direct feedback. We welcome candidates from a range of schools, employers and routes into legal work. COMPENSATION $180,000 - $250,000 USD OTE 75/25   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-LS1   Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Chicago Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Legal Engineer Associate, you’ll play a critical role in ensuring our law firm and in-house customer users are set up for success. You will deliver tailored training, create education strategies that align with legal workflows, and serve as a trusted guide to customers adopting Harvey across practice groups and legal departments. Your legal training and experience will allow you to connect deeply with our users, helping them to translate their own legal acumen into productive and innovative use of Harvey’s platform. You’ll work across a diverse range of clients, primarily mid-market and enterprise customers, and partner closely with Sales, Customer Success, and Product. This is a high-impact, customer-facing role ideal for someone with a few years of legal practice experience and a passion for shaping the future of legal work. WHAT YOU'LL DO - Deliver engaging and customized product training to attorneys at leading law firms and corporate legal departments - Partner with Account Executives and Customer Success Managers and more senior Legal Engineers to understand client goals to design and deliver enablement sessions that maximize value - Support onboarding, expansion, and renewal efforts by ensuring users are confident and proficient with the platform - Gather feedback from training sessions and pass insights to Product and Engineering teams to inform development - Build scalable training content, including documentation, videos, and quick reference guides tailored to practice areas - Evangelize Harvey internally and externally as a leader in AI-powered legal technology WHAT YOU HAVE - A J.D. and typically 1–3 years of relevant practical experience in legal practice, legal technology or a related role. - Practical experience building agents, prompts or workflows for legal use cases, plus the legal judgment to know when you need guidance. We are interested in what you have built and how you tested and improved it. - Clear communication, curiosity about AI and the ability to become fluent in a product quickly through hands-on use. - An appetite for frequent customer interactions, repeatable delivery and detailed work on useful customer resources. - Strong follow-through and comfort incorporating direct feedback. We welcome candidates from a range of schools, employers and routes into legal work. COMPENSATION $180,000 - $250,000 USD OTE 75/25   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-LS1   Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai