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Areta is looking for an Off Cycle Analyst M&A Advisory to support M&A capital raising and strategic advisory mandates.

-Programming experience in Python, Rust, C++, or Solidity. -Experience using Generative AI tooling such as Claude Code, Codex, Cursor, or similar Large Language Model (LLM) tools.

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: The Safeguards ML Infra team designs, builds, and operates the production infrastructure that powers Claude's safety systems. We own the critical backend services that ensure safety on the token generation path, and we own the operational work of getting those systems safely into production: standing up safeguards for every new model launch, and deploying new safety classifiers as they ship. Every frontier model release runs through this team – we configure, verify, and roll out safeguards across every platform Claude runs on (1P, AWS Bedrock, GCP Vertex, etc.), and we lead incident response when issues arise. This role sits at the center of that operational work. You'll ensure safeguards are properly configured and deployed for model launches and own the off-cycle deployment of new safety classifiers — canarying changes, verifying that the right safeguards are provably live on the right models, and holding rollback authority when something looks wrong. Every launch should also shrink the checklist, and the manual verifications should evolve into a system that runs itself. You'll turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. We're looking for engineers with deep experience in production change management at scale — people who have owned deploy pipelines, config management systems, rollout safety, or launch readiness for systems under real production pressure. Familiarity with ML research or transformer architectures is not required — you will learn that on the job. What we prioritize is production judgment: a track record of shipping changes to critical systems safely, and of automating yourself out of the work you did last quarter. What you'll do: Launch captain model releases: stand up, configure, and verify safeguards for every new model, and serve as the safeguards point of contact in the launch room during release windows. Own the off-cycle deployment of new safety classifiers as they ship from research — canarying rollouts, running post-deploy validations, and investigating discrepancies when something looks wrong. Verify that the right safeguards are provably live on the right models across every deployment platform (1P, AWS Bedrock, GCP Vertex, etc.), and detect and eliminate configuration drift between them. Automate yourself out of last quarter's work: turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. Plan to use Claude aggressively to do this! And be a trailblazer that paves the path for safe agentic operations of safety-critical systems. Build and maintain a safeguards registry with full provenance — what is running in production, on which model, on which platform, and when and by whom it was deployed. Participate in on-call and operational-duty rotations covering service incidents, model provisioning, and time-sensitive research and safety launches. You may be a good fit if you: Have owned production change management at scale — deploy pipelines, config management systems, canary analysis — and have strong opinions about what "verified" means. Have run high-stakes releases: served as a launch captain, incident commander, or release owner for systems where a bad deploy has real consequences, and are energized rather than drained by being in the critical path. Have meaningful on-call experience for production systems, including incident response and postmortem-driven improvements — and a track record of turning (and fixing!) postmortem action items into process and tooling changes. Have a desire to close the gap where nobody has yet raised their hand, even if it requires manually hand-holding processes until automation and tooling can be built. Have hands-on experience deploying and operating on cloud platforms (AWS, GCP) at scale. Are proficient in Python; experience with Rust is a plus but not required. Strong candidates may also have: 8+ years of industry software engineering or site reliability engineering experience. A demonstrated history of reducing operational toil through automation, including transitioning teams from manual deployment processes to self-serve pipelines. Experience running launch or production-readiness review processes across multiple teams. Familiarity with LLM inference systems and the operational characteristics of transformer-based models. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: United Kingdom; United States; New York; Poland; London; San Francisco; Canada Workplace: Remote 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 company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. THE ROLE ElevenLabs is scaling globally at extraordinary speed, growing from 400 to 1,000+ by the end of 2026. We operate across 46+ countries, with a highly distributed workforce spanning researchers, engineers, GTM teams, operators, creatives, and frontier AI specialists. Compensation and total rewards are core to how we attract and retain the best builders in the world. This environment is inherently complex. Different regulatory frameworks. Different talent markets. Different role archetypes. High volatility in frontier AI compensation benchmarks. That complexity is not a constraint, it’s the challenge. We are looking for someone to own and evolve our global compensation and total rewards strategy, designing systems that are competitive in frontier AI markets, internally consistent, globally scalable, and built for long-term sustainability. You will operate as the single point of accountability for compensation architecture across the company, partnering closely with Operations, Legal and Finance. If you’re energized by solving hard global compensation problems, building clarity across diverse markets, and designing systems that scale globally without slowing the company down, this role is for you. KEY RESPONSIBILITIES COMPENSATION STRATEGY & PHILOSOPHY - Own and continuously refine ElevenLabs’ global compensation philosophy. - Ensure pay, equity, and incentives reinforce attraction, retention, and performance. - Balance market competitiveness with internal equity and financial discipline. - Serve as a trusted advisor on complex, high-impact compensation decisions. JOB ARCHITECTURE & LEVELING - Design systems that introduce rigor without slowing the company down. - Evolve our structure intentionally to match our scale: mature enough to support 46+ countries and a diverse set of roles, but not over-engineered or bureaucratic. - Drive clarity and consistency in job architecture, leveling frameworks, and compensation bands globally. EQUITY & LONG-TERM INCENTIVES - Design equity programs that reflect a core ElevenLabs belief: employees should be genuine owners in the company and invested in our long-term ambition. - Own our equity philosophy, structure, and grant strategy. - Partner with Finance and Legal on equity design, refresh cycles, and promotion grants. COMPENSATION CYCLES & GOVERNANCE - Assist annual compensation reviews end-to-end. - Design clear off-cycle governance and decision frameworks. - Build calibration rigor and tooling that scales globally. - Introduce AI-enabled workflows where appropriate to improve speed and consistency. - Act as the final escalation point for leveling and pay consistency decisions. BENEFITS & TOTAL REWARDS - Own global benefits strategy across a distributed workforce. - Balance standardisation with regional relevance. - Ensure benefits are competitive in frontier talent markets while remaining operationally scalable. WHAT WE’RE LOOKING FOR EXPERIENCE - 5+ years in Compensation or Total Rewards, ideally in high-growth technology companies that operate across multiple countries - Ownership of equity programs - Strong track record of building compensation systems that scale - Experience designing and evolving job architectures and leveling systems - Experience operating in fast-scaling, ambiguous environments SKILLS & ATTRIBUTES - First-principles thinker: approach problems without bias - Hands-on builder: comfortable designing systems from scratch - Strong analytical skills: the ability to translate data into clear, strategic recommendations - Comfortable partnering with senior leaders and influencing decisions in complex, fast-moving environments - Excellent communication skills - High standards and high ownership 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: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About 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 seeking a detail-oriented and skilled Director of Payroll to join our growing Finance team in Singapore. In this role, you will be responsible for managing all aspects of international payroll processing, ensuring accuracy, compliance, and timely delivery of payroll services to our employees across multiple countries. This role will report to our Head of International Accounting with a dotted line to the Head of Global Payroll. Responsibilities: Execute full-cycle payroll processing for APAC international entities including India, Japan, South Korea, Australia, Singapore, and many more as we expand. Support expansion of payroll operations to new countries including Singapore, New Zealand, and others Support Corporate Accounting with month-end payroll related accounting tasks and questions Ensure compliance with local tax regulations and employment laws across all jurisdictions Manage relationships with third-party payroll providers Respond to employee inquiries regarding international payroll matters in a timely and professional manner Partner closely with the equity team to process stock options Resolve international tax notices from various tax authorities Collaborate with People, Tax, Global Mobility, Finance, and other departments to resolve payroll discrepancies and implement process improvements Assist in preparing international payroll reports and analytics for management review Support payroll systems integration projects and process automation initiatives Process end-to-end payroll using Workday and Global Payroll Platform (PwC) You may be a good fit if you Hold a bachelor's degree in Accounting, Finance, or related field Have 10+ years of experience in payroll operations, with at least 5 years in international payroll Are proficient in payroll processing for various compensation types (regular, off-cycle, severance, taxable benefits, and equity) Have strong knowledge of international payroll regulations and compliance requirements Are experienced with payroll journal entries, account reconciliations, and month-end close procedures Have experience working with Workday HRIS and global payroll providers such as PwC GPP platform (preferred) Possess excellent attention to detail, ability to multitask and maintain accuracy under tight deadlines Have strong analytical and problem-solving skills Are proficient in Microsoft Excel and Google Sheets Strong candidates may also: Have experience supporting rapid international expansion Possess knowledge of European employment law and tax regulations Have experience with payroll systems implementations Be familiar with Workday or other major HRIS platforms Hold a bachelor's degree in Accounting, Finance, or related field Have 5-6+ years of experience in payroll operations, with at least 3 years in international payroll Are proficient in payroll processing for various compensation types (regular, off-cycle, severance, taxable benefits, and equity) Have strong knowledge of international payroll regulations and compliance requirements Are experienced with payroll journal entries, account reconciliations, and month-end close procedures Have experience working with Workday HRIS and global payroll providers Possess excellent attention to detail, ability to multitask and maintain accuracy under tight deadlines Have strong analytical and problem-solving skills Are proficient in Microsoft Excel and Google Sheets 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. 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.