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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 a Mid-Market Account Executive on Anthropic's High Tech team, you'll drive the adoption of safe, frontier AI by securing strategic deals with tech-forward mid-market companies, unlocking new value streams throughout their business. The role sits at the intersection of consultative selling and technical fluency, helping customers empower their workforce, accelerate processes, and build products with Claude. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the ecosystem. You will be contributing to the GTM strategy for our High Tech team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated. Responsibilities: Run an end-to-end sales cycle, from first outbound to launch Win new business and expand existing accounts Build and execute sales strategies that drive quota attainment. Identify market opportunities, generate pipeline, and drive revenue Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions Leverage your technical aptitude to earn credibility with engineers, product leaders, and executives Shape product roadmaps by gathering customer feedback and translating market needs into actionable insights for Product and Engineering teams Contribute to the Mid-Market GTM strategy by sharing learnings, refining playbooks, and identifying process improvements that make the team more effective You may be a good fit if you have: 4+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Excellent communication skills with the ability to build trust and credibility with C-level executives Experience automating workflows or building automations to handle the repeatable components of a sales process A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Location: This role does require being in office 4x a week in one of our hubs The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $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 City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Growth Account Executive, Startups at Anthropic, you'll manage a portfolio of startup customers and help them harness the transformative potential of safe, frontier AI. This role is designed for early-career sales professionals who thrive in fast-paced environments and are excited about building scalable engagement models. You'll leverage Claude and other tools to efficiently serve a large customer base while identifying high-potential accounts for growth. The ideal candidate will combine strong foundational sales skills with intellectual curiosity about AI and a passion for process improvement. You'll develop playbooks for scaled customer engagement that benefit the entire Growth AE organization, while building the skills to advance into more senior AE roles. Responsibilities: Manage a portfolio of ~80 startup accounts, maintaining high retention and identifying expansion opportunities Build and execute scalable engagement models using Claude and automation to efficiently serve a high-volume customer base Identify breakout accounts with high growth potential and ensure smooth transitions to expanded coverage when appropriate Develop and document best practices for scaled customer engagement that can be shared across the Growth AE organization Conduct streamlined account health checks and identify early warning signs of churn risk Partner with customers to understand their business models and product,  advising them through their AI transformation, and gathering feedback to inform product development Collaborate with Applied AI and other cross-functional teams to support customer technical needs You may be a good fit if you have: 3-5 years of experience in sales, account management, customer success, or related roles Demonstrated ability to manage multiple priorities and a high volume of customer relationships simultaneously Strong communication skills with ability to build rapport quickly across various customer personas Analytical mindset with comfort using data to prioritize accounts and identify trends Enthusiasm for emerging technologies and genuine interest in AI A "roll up your sleeves" mentality and comfort operating in ambiguous, fast-changing environments Strong candidates may have: Experience with consumption-based or usage-based pricing models Familiarity with technical products, APIs, or developer-focused solutions Experience working with startup customers or in a high-growth startup environment Exposure to AI/ML concepts and applications 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: $222,800 — $290,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 We are looking for software engineers to help build the foundational pieces for safety, oversight and intervention mechanisms of our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight. Responsibilities: Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review. Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required. Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in Python Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 7+ years of experience in a software engineering position Have experience building trust and safety, anti-spam, fraud or abuse detection and mitigation mechanisms and interventions for AI/ML systems Have experience building metrics and measurement systems or data and privacy management systems Have worked closely with operational teams to build custom internal tooling Be proficient in TypeScript or Rust Have experience with Claude Code or similar agentic coding tools 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: £325,000 — £395,000 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: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive (Life Sciences) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading life sciences organizations. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across pharmaceutical, biotechnology, and research organizations. You'll leverage deep life sciences sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into R&D, clinical development, and commercial workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for life sciences decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across pharmaceutical, biotech, and research organizations, and running the strategies to win them. By driving deployment of Anthropic's emerging products into life sciences enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across pharmaceutical, biotechnology, and research organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of R&D, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate life sciences-specific needs — R&D, clinical development, commercial — into product and roadmap input Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader life sciences motion Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications 5+ years of enterprise sales experience in life sciences, with demonstrated success covering bio, pharma, and research organizations A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within life sciences (pharmaceutical, biotechnology, or research organizations) Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large pharmaceutical or biotechnology companies Deep familiarity with regulated-industry selling — GxP compliance, data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of pharma/biotech organizations Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience navigating long, multi-stakeholder enterprise cycles (12+ months) typical of biopharma R&D and drug development procurement The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $450,000 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: Italy The Company Our client is a progressive global plastic recycling business with three distinct divisions: (1) Plastic Recycling; (2) Recycled Supply Chain Management; and (3) Recycled & Waste Plastic Feedstock. Their expert global team combine impressive technical knowledge and capability with a passion for recycling and the circular economy. Our client is passionate about transforming waste into a valuable commodity, buying, selling and recycling scrap plastic. Since our client started on their journey in 2005, they have developed a worldwide presence, serving hundreds of customers in over 50 countries. They have grown a strong, talented team who are highly trained, dedicated and loyal. They are headquartered in Hong Kong with operations and representation in Australia, Finland, Ireland, Turkey, Spain, Netherlands & UK. They operate a factory based in the UK specialising in the collection and recycling of plastic waste generated from industry and manufacturing. Job Summary Your role will be to procure and sell recycled plastics, with a particular focus on PET (rPET). You will be working closely with local and global teams, communicating with colleagues across the world every day, a highly collaborative and entrepreneurial mindset are key to being a top performer. You will develop relationships with material suppliers & buyers, assess their capabilities for a fit with our client's strategy and market demands. Being able to manage ongoing negotiations, incoming new opportunities and customer development all at the same time makes this role suitable for a skilled business development executive who is results driven and uses time effectively. Success is achieved through a disciplined and consistent approach to building relationships, utilising the CRM and hunting for your own leads to keep a full pipeline of opportunities. The ideal candidate will thrive in a fast-moving environment, react quickly to changing priorities, be able to follow internal processes and proactively manage risk. An excellent communicator, you will demonstrate an optimistic and persistent approach, always open to giving and receiving feedback on performance. Challenges are seen as an opportunity to learn. This role is suited to an ambitious individual who is motivated, goal driven and wants to be part of a values driven organisation in a growth industry. Essential Duties & Responsibilities Business Development & Delivery Map the market and develop new suppliers & buyers from manufacturing (fibre, sheet & film), recycling & waste sectors. Assess client suitability against strategy, quality requirements & size of opportunity. Develop purchasing contracts for regular volumes of waste and recycled materials (particularly PET or rPET). Execute sales for scrap & recycled PET (rPET) sourced from our client's global locations to licensed manufacturers and recyclers. Actively seek out new opportunities and conduct market research through research, cold calling, networking, social media, attending conferences and trade fairs. Maximise margin by using effective negotiation techniques. Able to challenge customer views and counter objections to move towards closing a deal. Actively engage with the greater team to develop skills and share knowledge. Perform site visits to qualify, build relationships and discover market information. Develop and enhance relationships by being creative, innovative and offering excellent service that is responsive and tailored to client needs. Engage in constant and active risk management, to ensure the material is per the company and customer quality requirements. Reporting & Management Keep detailed logs in CRM of all activities constantly. Maintain accurate records of customer information in CRM, including material requirements. Provide feedback & market reports to Management. Use knowledge of competitors and market to develop our client’s unique selling propositions. Contribute to developing standard operating procedures to mitigate risk and ensure seamless workflow. Requirements Person Specification Knowledge (Education & Related Experience) At least 5 years’ experience in business development in raw materials supply. Experience in recycled plastic or prime PET an advantage, not a requirement. Experience of developing new accounts and long term contracts. Skills & Abilities Multilingual (fluent English is a requirement). Able to use logic and reasoning to appraise situations . Able to anticipate opportunities and risks. Able to build rapport quickly with colleagues and customers. Able to negotiate effectively with customers to maximise margins. Able to effectively collaborate with colleagues to achieve results. Able to manage and respond quickly to changing/competing priorities . Highly organized, able to independently plan own time. Able to follow internal procedure & policy (CRM, Admin, Trial Policies, Customer Onboarding). Able to present and clearly communicate information in speaking and writing. Able to ensure tasks are completed on time and to a high-standard. Able to use Excel, Outlook, Word and other MS Office products with high level of proficiency. Able to undertake effective research. General Attributes Non-Negotiables : Action oriented, Builds strong relationships, Curious, Driven to learn, Empathetic, Investigative, Reflective, Resilient, Resourceful, Seeks feedback, Trustworthy. Willing to take complete ownership of the role and drive success. Grit and determination. Persuasive with a ‘can do’ attitude. Self-aware and reflective on successes and failures. Not afraid to have challenging conversations. Understands that upfront effort prevents issues down the line. Committed to on-going personal and professional development. Values team above self.

Location: 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 Anthropic is seeking a seasoned Revenue Accounting professional to join our growing Accounting Team. In this position, you will drive revenue accounting operations, accounts receivable accounting, and financial reporting processes. You will play a critical role in ensuring accurate revenue recognition, managing complex AR processes including CECL compliance, and enhancing our month-end close operations. The ideal candidate brings deep technical accounting expertise, leadership capabilities, and thrives in our fast-paced, innovative environment. Responsibilities Manage daily revenue accounting operations, including high-volume transaction processing, and ensure accurate revenue recognition in compliance with ASC 606 Own the month-end revenue close process by reviewing and approving revenue-related account reconciliations and journal entries for revenue, deferred revenue, and unbilled receivables Manage comprehensive accounts receivable accounting functions, including AR reconciliations, aging analysis, and accurate recording of customer receivables Lead quarterly CECL aging analysis to ensure consistent application of ASC 326 and work with AR & Collections Lead to develop key AR metrics for management reporting Perform regular month-end close flux analysis, identifying and explaining significant variances in revenue and accounts receivable balances to ensure financial integrity and provide insights for management decision-making Collaborate cross-functionally with Finance Operations, Finance Strategy, Billing Support, and business partners on strategic processes and programs Support revenue accounting system initiatives, including design, implementation, testing, and optimization Serve as subject matter expert for revenue and AR accounting questions across the organization Lead audit coordination and serve as primary contact for external auditors during year-end audit Maintain comprehensive documentation for all revenue and AR processes You may be a good fit if you have Bachelor's degree in accounting or finance (or equivalent experience) 10+ years of accounting experience, with at least 3 years in public accounting Strong knowledge of ASC 606 Revenue from Contracts with Customers & ASC 326 Credit Impairment Experience with accounts receivable accounting and financial reporting Experience in collaborating across departments to influence change Attention to detail, excellent communication skills, and strong sense of teamwork Ability to work independently and prioritize in a fast-paced environment Strong sense of ownership and independence, with proven ability to identify issues, propose solutions, and drive initiatives to completion with minimal supervision Proven experience in managing and mentoring accounting professionals, with the potential to lead team members (both contractors and FTEs) as our team continues to grow Strong candidates may also have Experience in a growing SaaS technology business, preferably in startup or high-growth environments Experience with third-party platform revenue models and related accounting complexities Passion for data integrity, comfort with large datasets, and enjoyment of solving complex problems Proficiency with mainstream ERP systems and revenue engines such as NetSuite ARM, Oracle, SAP, Workday Financials and comparable systems. NetSuite ARM experience strongly preferred Experience with Metronome, Stripe, Anrok, or similar software is a plus Database & SQL experience is a plus Exceptional business acumen with ability to translate complex financial concepts into actionable insights for non-finance stakeholders The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 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: Czechia D-ploy is a leading IT and Engineering Solutions company with operations worldwide. Our mission is to deliver innovative and D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Responsibilities Communicate professionally with customers via chat, e-mail, and social media Provide clear, friendly, and efficient solutions to user issues Share insights and suggestions to improve internal support processes Requirements Are fluent in Hungarian (C2) and have good English skills (B2) Enjoy helping others and handle challenges with a positive, can-do attitude Are comfortable with computer tools (e.g. MS Office, web-based platforms) Can explain technical topics in a clear and simple way Bring experience in customer support (preferred, but not essential) Have completed secondary education with a diploma Benefits Meal vouchers (CZK 123.90 in your salary per working day) Benefit card (CZK 1940 per month) Performance-based bonuses that recognize and reward your contributions. Daily engagement with international clients and colleagues, particularly through the use of English and other foreign languages. Competitive referral bonus program for recommending qualified candidates. A fair and people-centric work environment, supported by transparent corporate governance. Regular team-building events, social activities, and wellness initiatives, including company gatherings and sports. A clear path for career growth within a dynamic, multicultural, and multinational organization Is IT in your DNA?

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 We're looking for a Commercial Counsel, GTM to join our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving quickly, thinking creatively, and collaborating to support deals that matter. In this role, you'll focus heavily on supporting our Go-to-Market teams, handling enterprise agreements and customer negotiations while gaining exposure to a range of commercial work including research collaborations, product partnerships, and procurement. You'll also have opportunities to work on AI safety and research agreements, including threat-sharing frameworks with leading security organizations and collaborations that shape and advance responsible AI development standards. This is an excellent opportunity for a motivated attorney to develop deep expertise in commercial transactions while contributing directly to responsible AI development. Key responsibilities Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions including enterprise customer contracts Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements Potentially partner with Policy, Safeguards, and Research teams on novel AI governance initiatives Identify and escalate legal risks appropriately while supporting business momentum Stay current on legal developments affecting AI technologies Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Experience drafting, reviewing, and negotiating commercial agreements Demonstrated ability to provide clear, practical legal guidance to non-lawyers on complex commercial law matter Preferred qualifications Active membership in the California bar At least 5 years of legal experience with exposure to commercial contracts, SaaS agreements, or technology transactions Clear communication skills and comfort translating legal concepts for non-lawyer audiences A collaborative approach to working with colleagues and external partners Genuine curiosity about AI technology and AI policy, and a commitment to responsible AI development Experience navigating multi-stakeholder agreements involving technical and policy considerations Willingness to take initiative and pitch in wherever the team needs support Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle or New York offices at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $335,000 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 We're looking for a research engineer who believes that visual and spatial reasoning are core to fully unlocking the capabilities of LLMs. On the Vision team, you'll own the end-to-end process of creating training data and RL environments targeting visual knowledge work: identifying long-horizon and vision-heavy tasks, building evals, designing rewards, and scaling data. This is a unique role that combines applied research with hands-on data work. It's also highly collaborative — you'll partner with external vendors, pretraining, RL, and product teams to make sure the environments you build translate into real-world knowledge work capabilities. What you'll do: Own the data strategy for vision capabilities end-to-end, from building evals and scaling RL environments Manage technical relationships with external data vendors, including writing task specifications, evaluating visual data and annotation quality, and iterating on reward design Develop and improve QA frameworks that catch reward hacking and ensure environment quality at scale Run generalization experiments to measure how data strategy changes improve multimodal capabilities on held-out evaluations Partner with pretraining, RL, and product teams, and do the science that shows we’re all rowing in the same direction You may be a good fit if you: Have 7+ years of ML, computer vision, and software engineering experience through industry, academia, or other projects Have experience with reinforcement learning, reward design, or training data curation for large language or vision-language models Are familiar with the architecture, training, and operation of large vision language models Are comfortable managing technical vendor relationships and iterating quickly on feedback Are results-oriented, with a bias towards flexibility and impact Care about the societal impacts of your work Strong candidates may also have experience with: Designing evals or benchmarks for LLMs or vision language models Large-scale pretraining, SL, and RL on language models Deep learning research on images, video, or other modalities Developing complex agentic systems using LLMs Large-scale ETL and data pipeline development Representative projects: Writing a vendor-facing specification for a new family of visual RL training tasks, then iterating with the vendor on coverage, quality, and reward design Running experiments to determine ideal training datamixes and parameters for a synthetically generated vision dataset Finetuning Claude to maximize its performance using a particular set of agent tools/skills 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 — $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: Remote Global (US, EU) Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way. Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission. We believe the open-source Diem technology we have developed is an important foundation of a safe and scalable web3 world where everyone has more equitable opportunities to grow and access financial assets with lower fees and fewer intermediaries. Aptos (Ohlone for "The People") encompasses our mission and ethos for why we build. About the Role At Aptos Labs we’re pioneering the future of web3 and need a passionate Product Security Engineer to help secure our core technologies. In this role, you’ll be at the forefront of safeguarding our Aptos core infrastructure and Aptos Labs products. Your proactive approach will help us identify and mitigate emerging threats, ensuring our systems remain resilient and trustworthy. You will work closely with our developers, influence security best practices, and lead initiatives that shape the future of web3 security. Responsibilities Analyze and assess novel and recurring security issues via design reviews, code audits, and penetration tests. Design and build security tools, and develop mitigations, frameworks, and hardening strategies tailored for vulnerability prevention and detection. Review and develop secure operational practices, and provide security guidance for engineers. Respond to and triage reports from bug bounty programs. Minimum Qualifications B.S. or M.S. in Computer Science, a related technical field, or equivalent experience. 3+ years of experience in vulnerability research and exploitation. Experience with native development practices and common vulnerability patterns (e.g., Rust, C, etc.) Experience with automated security analysis tooling and frameworks (fuzzing, static analysis, etc.) Preferred Qualifications Contributions to the security community (public research, blogging, talks in relevant conferences, etc.) Experience with virtual machines or complex runtime environments, such as MoveVM (extra bonus), EVM, WASM, or LLVM-based runtimes, including their security models, sandboxing, and execution isolation. Familiarity with smart contract programming languages (extra bonus for Move), security tools, and frameworks, including formal verification. Our Benefits 100% insurance premium coverage for medical, dental, and vision for you and your dependents (US Employees) Equipment of your choice Flexible vacation time, 11 holidays, and floating company days off Competitive Salary Protocol Token Grants 401k matching (US Employees) Fun and inclusive in-person and digital events Aptos is committed to diversity in the workplace, and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided based on qualifications, merit, and business need. We are committed to providing a safe and secure hiring process for all applicants. Unfortunately, there are individuals who may attempt to impersonate Aptos or our employees for fraudulent purposes. To protect yourself, please be aware of the following: We will never ask you for payment of any kind during the application or onboarding process, including fees for background checks, training, or equipment. We will always communicate with you using our official company email domain. We will never request your personal financial information, such as your social security number or bank account details, during the initial application stages or via email or a video/voice call when onboarding.

Location: Remote At Finyard, we’re a global team of engineers, data scientists, marketeers, and financial experts, passionate about technology and innovation. We’re all about bringing revolutionary software services to people all around the world, and have been since 2018. Our mission is to innovate by launching modern software solutions in the FinTech space, giving users around the world simpler and quicker ways to transact and manage their investments. We are committed to ensuring every product we release is in service of our users, so that as we grow, so do they. About the Role We are seeking a highly knowledgeable and media-savvy Financial Market Analyst to join our team. This role combines deep analytical expertise with strong communication skills. You will be responsible for delivering high-quality market insights, producing daily/weekly analytical content, and representing the company across financial media, interviews, podcasts, webinars, and industry events. This is a high-visibility role suited for someone who lives and breathes the financial markets, can translate complex ideas into clear insights, and is comfortable being the public face of a global fintech brand. Key Responsibilities Market Research & Analysis Monitor global financial markets across FX, indices, commodities, equities and macroeconomic developments. Produce daily, weekly, and monthly market analysis reports, forecasts, and commentary. Identify market trends, trading opportunities, and risk factors relevant to our clients. Develop thematic deep-dives (e.g., macro outlooks, sector trends, crypto market structure analysis). Collaborate with internal teams (product, marketing, PR) to ensure accuracy and alignment of all market-related communications. Content Creation Write high-quality market analysis articles, newsletters, and research briefs. Produce short-form and long-form commentary suitable for social media, blogs, and client communications. Prepare visual market insights – charts, infographics, and data-driven storytelling. Support educational content (market explainers, trading insights, video scripts). Media Representation Act as the face of the company in financial media. Provide expert commentary for TV interviews, radio, press quotes, podcasts, and webinars. Build and maintain relationships with journalists, editors, and media outlets. Participate in industry events, conferences, and panel discussions as a company representative. Internal Collaboration Work closely with PR & Communications to ensure consistent narratives. Align insights with product launches, campaigns, and marketing initiatives. Provide internal briefings to leadership regarding market conditions and emerging risks. Required Skills & Qualifications Technical & Market Expertise 3-7+ years of experience as a market analyst, strategist, economist, or related role. Strong understanding of macro trends, global markets, technical analysis . Solid analytical skills with experience using charting tools, economic calendars, and market data platforms. Communication & Media Skills Exceptional writing ability – clear, concise, engaging. Strong on-camera presence, confident public speaking, and ability to simplify complex concepts. Prior media experience is a strong advantage (interviews, quotes, commentary). Ability to adapt tone and message depending on the channel (press, social, clients). Personal Attributes Comfortable taking initiative with minimal supervision. Highly articulate, detail-oriented, and intellectually curious. Resilient under fast-paced market conditions with tight deadlines. Able to balance accuracy with speed of delivery. Preferred Qualifications Degree in Finance, Economics, Business, or related field. Professional certifications (CFA, CMT, etc.) are a plus. Experience with trading platforms or derivatives markets. Familiarity with market fundamentals, on-chain data, and digital asset trends. What We Offer Competitive compensation package. Opportunity to become a recognized public market expert and grow your personal brand with the backing of a leading fintech company. Global exposure via top-tier media networks. High degree of autonomy and the ability to shape market narratives. Collaborative, innovative, and growth-focused work environment.

Location: Newcastle, Australia About Intellect At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Regular supervision & CPD included Diverse client base — from local employees to regional/global Fortune 500 companies Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership What You’ll Do Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed Facilitate webinars and in-person seminars (optional) Support employees with wellbeing, stress, and resilience Collaborate with Intellect’s internal clinical team to improve EAP programs Requirements Must Haves Counsellors: Master’s in Counselling, Counselling Psychology, or Social Work Active membership/registration with one of: ACA (Australian Counselling Association) PACFA (Psychotherapy & Counselling Federation of Australia) AASW (Australian Association of Social Workers) 1–3 years of supervised counselling experience (internship counts if part of licensure pathway) Clinical Psychologists: Master’s in Clinical Psychology from an APAC-accredited program General registration with AHPRA (Psychology Board of Australia) Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program) 1–3 years of supervised clinical practice (internship counts if accredited/licensure pathway) Nice to Haves Experience working with First Nations / Aboriginal & Torres Strait Islander communities Background in managerial or leadership support (e.g., coaching managers, HR advisory) Prior EAP or workplace counselling experience Additional languages Flexibility for occasional onsite sessions Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients) Eligibility/willingness to obtain a Medicare provider number (not mandatory, only if required by engagement type) Benefits Let’s Talk This is more than a job. It’s your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAPs don’t provide If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you.  Apply today and join Intellect in transforming workplace mental health across the country and beyond.

Location: Berlin, Germany Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s the opportunity? We’re hiring an Engineering Manager for our Product Workstreams in the AI Group . The AI Group’s product workstreams, partner with the wider product org to build the AI capabilities that underpin Fin. These workstreams do not act as ‘AI services’ for the wider org; they are instrumental in shaping AI products from the earliest stages and owning their ongoing development. Product workstreams are composed of EMs, PMs, Engineers, AI Designers, and Machine Learning Scientists. You will lead our Berlin-based product engineers in the AI Group and will be a key leader of our Berlin hub, helping it grow. You will also work across Fin's core capabilities, such as Skills, Personalisation, Procedures and Safety, and contribute directly to delivering new Fin products from inception. This is a hands-on EM role. You will lead a senior team of engineers and stay hands-on in the codebase. An EM who regularly works alongside ICs builds the context to make good strategic decisions and to support engineers well. Contributing to Fin’s central AI system, architecture and experimentation are core to the job. Learn more about Fin's AI engineering and research at Fin /research , and more about Fin at fin.ai . What will I be doing? As a hands-on leader, you will: Lead and grow a high-performing engineering team based primarily in Berlin, with members across our European offices. Incubate and deliver AI products from ideation through to success, leveraging backtests, evals and A/B tests to inform what ships. Contribute directly to our production systems so you keep first-hand context. Own operational health for your workstreams: SLOs, alarms, and proactive management of our most critical systems. Plan, prioritise and deliver best-in-class AI products with your most senior engineers, ML Scientists, PMs and AI Designers. Make AI-first the team default. Build shared skills, agents, and automations that raise the bar for the team’s output and ambition. Hire and onboard great engineers, and help them build the Berlin office. What skills do I need? Must-haves: Strong prior experience as an engineer, with recent hands-on technical contributions. Strong technical judgement, and the ability to coach senior engineers through complex architecture and product trade-offs. Strong product sense: you can weigh AI product opportunities and decide what matters most. A data-driven approach: you use experiments and metrics to make decisions. Strong ownership of production quality and reliability. An adaptable leadership style for a group and environment that will grow fast and change shape. Nice to haves: Experience leading engineering teams that build and operate generative AI systems in production. Experience with AI evaluation, backtesting or experiment design at scale. Experience managing AI costs and how product choices affect it. Experience in a hands-on EM role, or alternating between EM and IC roles. Experience helping build or grow a new engineering site. How will I be supported? You’ll have a structured onboarding experience to help you get up to speed quickly in Berlin and across Intercom. You’ll have a close group of management peers to collaborate with and learn from. We invest in our managers, supporting individual career development through training, coaching and regular feedback. You’ll have opportunities to contribute to and learn from our wider engineering community. Benefits We’re a well-treated bunch, with awesome benefits. If there’s something important to you that’s not on this list, talk to us. Competitive salary and equity in a fast-growing company. A flexible, hybrid way of working from our Berlin location. Regular compensation reviews—we reward great work. Health, wellbeing and insurance benefits designed for our employees in Germany. Family-friendly leave and support in line with local requirements and company policy. Flexible time off so you can take a break when you need it. A well-equipped Berlin office, including lunch and kitchen provisions. A MacBook as standard, with flexibility to choose the equipment that helps you do your best work. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Singapore Workplace: OnSite ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for a highly motivated, self-starter founding Account Executive in Singapore who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: 1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals 2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency 3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends 4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more Requirements - 7-10 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineering, or innovation teams is a strong plus - Proven track record of meeting & exceeding sales targets in a fast-paced environment - Expertise or willingness to learn everything about voice and audio AI and how our solutions can help prospects - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Fluency in English and one of the SEA languages (e.g. Bahasa Melayu, Thai, or Tagalog) and a deep understanding of business, cultural, and buying nuances across Southeast Asia - Experience selling across multiple Asian markets (Southeast Asia/ASEAN ) is strongly preferred. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats. We are particularly interested in candidates with deep expertise in either chemical defense or biodefense. You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm. Your specialized domain expertise will be critical to protecting against some of the most serious potential misuses of AI systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes You may be a good fit if you Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with threat actor profiling and utilizing threat intelligence frameworks Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership Strong candidates may also have Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information Background in AI safety, machine learning security, or technology abuse investigation Familiarity with synthetic biology, biotechnology, or dual-use research Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $290,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA; San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices You may be a good fit if you Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with large language models and understanding of how AI technology could be misused for cyber threats Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.) Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience working with government agencies or in regulated environments Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance Deadline to apply None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $290,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for research engineers to build the safety and oversight mechanisms that govern how our models handle biological knowledge. As a bio safety researcher, you will spend your time: designing and running capability evaluations against frontier models, generating and curating training data for our safety classifiers, training and iterating on those classifiers alongside our ML engineers, and measuring how they hold up against adversarial pressure in production traffic. This work sits at the intersection of applied ML and biosecurity. You will help define what responsible AI safety looks like in the biological domain, translating threat models into evals, datasets, and deployed systems. The core technical tension you will own is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and you will be the person measuring it. You do not need to be an ML researcher today. We are looking for strong scientific programmers with real depth in modern biology who want to bring that depth to bear on model evaluation and classifier development. Key responsibilities Design, build, and run capability evaluations to assess what new models can do in the biological domain, and turn results into concrete deployment recommendations Develop training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Train, tune, and iterate on safety classifiers with ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Build the tooling and pipelines that make evaluation and classifier development fast and repeatable Analyze classifier and eval performance against production traffic, identify gaps, and prioritize improvements Design and run red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, and Policy teams to embed biological safety throughout the model development lifecycle Contribute to external communications including model cards, blog posts, and policy documents Track developments in biology, ML, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Strong proficiency in Python, and extensive background in scientific programming and data analysis skills Excellent grasp of ML fundamentals and an ability to rapidly adopt ML development practices Excellent knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Ability to build and maintain your own tooling rather than relying on others to implement your ideas Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Strong analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Can work independently while maintaining strong collaboration with cross-functional teams Are results-oriented, with a bias towards flexibility and impact Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration Preferred qualifications Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Have at least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience leading complex technical projects across multiple stakeholder groups The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Riyadh, Saudi Arabia Müller's Solutions is on the lookout for a creative and skilled Multimedia & Graphic Designer to join our talented design team. In this role, you will be responsible for producing visual content that effectively communicates our brand message and enhances the overall user experience across various platforms. Your creativity and technical expertise will help shape the visual identity of our products. As a Multimedia & Graphic Designer, you will collaborate closely with marketing, product, and web development teams to create engaging graphics, videos, animations, and other multimedia content. You will have the opportunity to work on a diverse range of projects, from branding and promotional materials to user interface graphics and digital media. Responsibilities: Design and produce high-quality graphics, illustrations, and multimedia content for online and offline use. Develop engaging layouts and visual designs that align with brand guidelines and marketing strategies. Create animations and motion graphics for various digital platforms, including websites and social media. Collaborate with different teams to understand project requirements and deliver creative solutions that meet their needs. Stay updated on the latest design trends, tools, and technologies to keep our content fresh and relevant. Manage and organize design files and assets, ensuring proper documentation and storage. Review and edit designs based on feedback from stakeholders and team members. Requirements Requirements: Bachelor's degree in Graphic Design, Multimedia Arts, or a related field. Proven experience as a Multimedia & Graphic Designer or in a similar role, with a strong portfolio showcasing your design work. Proficiency in graphic design software such as Adobe Creative Suite (Photoshop, Illustrator, After Effects, etc.). Strong understanding of design principles, typography, color theory, and layout. Experience in creating multimedia content, including video editing and animation, is a plus. Excellent communication skills and the ability to work collaboratively within a team environment. Strong attention to detail and a commitment to producing high-quality, visually appealing designs. Preferred qualifications: Experience in web design and knowledge of front-end development (HTML, CSS) is a plus. Familiarity with UX/UI principles and best practices. Knowledge of branding and marketing design strategies. 3+ years of relevant experience in multimedia and graphic design. Soft Skills: Strong creative and artistic skills with a passion for design. Ability to manage multiple projects and meet deadlines in a fast-paced environment. Excellent problem-solving abilities and a proactive approach to design challenges.