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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 Growth at Anthropic is about helping people discover what Claude can do and make it part of how they work, from someone's first session to an entire company rolling out Claude. We're a small design team working across all of Anthropic's products, on problems that often don't have established playbooks, because the products and the capabilities behind them change so quickly. We drive growth by making the product itself better, favoring foundational changes and new product experiences over small optimizations. Our focus spans whatever most limits Anthropic's growth, and priorities can shift quickly. As a senior Product Designer on Growth, you'll own how Claude grows with people who use it for their everyday work. You'll dig into why some people make Claude a habit and others don't, find the real bottlenecks, and lead the product changes that move them. You'll set the vision for this area, partner closely with product, engineering, and data science, and raise the quality bar for the designers around you. We're looking for designers who thrive in ambiguity and pair sharp diagnostic judgment with exceptional craft. You form a clear point of view from messy signals, prototype quickly to test it, and drive alignment across teams to ship it. You use tools like Claude Code to explore ideas and push what's possible. Key responsibilities Own growth for how people use Claude in their everyday work, end to end, as your full-time focus Diagnose what drives deep, habitual use and what blocks it, combining data, research, and hands-on time in the product Set an opinionated vision for the area and turn it into a roadmap with your PM, engineering, and data science partners Redesign core parts of the product to drive growth, from onboarding and first-run experiences to the everyday workflows people rely on most Shape hypotheses and experiments, and judge results with a nuanced view of how we win, not just the topline metric Deliver exceptionally crafted interactions and set the quality bar for your area Drive alignment with partner teams whose work touches your area, connecting individual use to team and company adoption Mentor other designers, and frame problems clearly enough that others can own them Prototype and test ideas quickly with Claude Code and other AI tools Minimum qualifications A portfolio of shipped product design work that shows product vision and a high level of craft Experience owning growth for a major product area end to end, including diagnosing problems and setting direction Deep growth design experience in activation, onboarding, retention, engagement, or expansion, on a product at meaningful scale Hands-on experience designing, launching, and interpreting experiments, and using them to make product decisions Fluency with product analytics such as funnels, retention, and engagement Proficiency with design, prototyping, and AI tools, such as Figma and Claude Code, and a habit of learning new tools to push what's possible Strong collaboration and communication skills, with experience driving alignment across product, engineering, and data science Preferred qualifications Experience leading growth strategy across multiple teams or product areas Experience designing enterprise/B2B SaaS, productivity, or collaboration tools Experience with product-led growth, from a single user to a team to a company-wide rollout Experience mentoring designers or shaping a design practice Comfort querying data yourself with SQL or a similar tool Experience prototyping with front-end code (e.g., HTML/CSS/JS) Experience defining AI-powered workflows for yourself or your team A clear point of view on when a product should ask for attention, and when it should stay out of the way Passion for building safe, beneficial AI that helps people do their best work Representative projects Diagnose why some people make a product part of their daily work and others drift away, then lead the changes that close the gap Redesign a core part of the product so people return to it more often and get more value each time Set the vision for a product's first-run experience and lead it through experiments to a redesigned, permanent flow Design the path from one person's daily use to their whole team adopting it 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: $305,000 — $460,000 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: 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 a Vendor Admin Lead to own vendor master data for our global Finance Operations team. Reporting to the Director of Global Accounts Payable, you will be the single point of accountability for who our vendors are and get paid: onboarding, bank-detail verification, supporting documentation vetting, data quality and the controls around all of it. Anthropic's vendor base is growing quickly across the US, Europe and Asia-Pacific, and a clean, verified vendor data is what keeps a fast-growing company scale with the necessary controls. This role is deliberately separate from invoice processing and payments. You will control vendor records and bank details; you will not book invoices or move money. That separation is the point of the role, and you will own the SOX controls that enforce it and help design the access model that keeps it that way. This is an opportunity to build a vendor-master function from the ground up and leverage process automation with Claude while supporting the team making AI safe. Responsibilities Supplier onboarding Run intake for every new vendor and payee: validate completeness, collect and verify supporting documentation, and enable records in the ERP backbone system against agreed service levels Validate supporting documents; set 1099-reportable and tax flags correctly Confirm third-party risk and restricted-party screening before activation Set up one-time and non-vendor payees with the right record type rather than forcing them through full onboarding Partner with TPRM and IA teams on control requirements and continuous process improvement 1099 annual reporting Bank details and fraud prevention Own every bank-detail setup and change; validate against a bank letter on letterhead or an approved equivalent (void checks,  etc.) Run independent callbacks per policy using contact details sourced independently of the request, and record the evidence Validate international bank formats and addresses (IBAN, SWIFT/BIC, ABA, SEPA, BSB, IFSC, Japanese bank/branch codes) Identify and escalate business-email-compromise attempts and other payment-fraud red flags Data quality and maintenance Maintain vendor structure: parent/child and remit-to relationships, entity and country records, contacts and payment terms Lead vendor consolidation: eliminate duplicate vendors and bank accounts, execute merges and inactivations in batched, logged, reviewed changes Run periodic health reviews for dormant vendors, stale bank letters, missing tax forms and incomplete records; drive 1099 and TIN readiness for year-end Own periodic vendor deactivation campaigns Controls and audit Own the vendor-master SOX controls as the named control owner: maker-checker on every create and change, change-log review, evidence retained on every record Prepare the periodic review of bank-detail changes paid, and address Internal Audit and external auditor requests Partner with Finance Systems to design and maintain ERP security roles so vendor master, invoicing and payments stay separated Flag any suspicious vendor set-up activity through the appropriate channels Process, systems and improvement Own vendor-master documentation, intake checklists, requester guidance and service levels Serve as the vendor-data expert through process migrations, including data conversion and post-migration fixes Partner on automation: AI-assisted intake validation, document extraction, bank-format checks and a vendor self-service portal Report monthly on onboarding volume, cycle time, bank changes, exceptions and data quality, and use the data to improve the process Minimum qualifications 7+ years in vendor master or AP operations with 3+ years of ownership Owned a vendor master in an ERP end to end — process, controls and data — across multiple entities and countries Hands-on experience verifying bank details and preventing payment fraud: bank letters, independent callbacks, BEC red flags, international bank formats Experience with vendor tax documentation: W-9/W-8 validation, TIN matching, VAT/GST IDs, 1099 flagging Working knowledge of procure-to-pay controls — segregation of duties, maker-checker, change logs, audit evidence — and have performed or owned a SOX control Led a vendor data cleanup, consolidation or ERP migration and can show the outcome The confidence to hold the line with requesters, vendors and senior stakeholders under time pressure while staying clear and helpful Strong Excel or Google Sheets skills with large datasets (dedupe, lookups, reconciliations) and exceptional attention to detail Preferred qualifications Workday Financials vendor management, and experience with Zip, Coupa or a similar procure-to-pay platform SOX experience at a public company or one preparing to go public Experience supporting APAC and EMEA vendors in a high-growth, multi-entity company Experience designing or reviewing ERP security roles with a systems team Comfort using AI tools to automate validation, follow-ups and reporting 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: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Claude is one of the fastest-growing AI products in the world, with tens of millions of users worldwide relying on Claude across web, mobile, and desktop. As a Product Manager on the App Foundations team, you’ll be responsible for key parts of the product experience spanning the core Claude user-experience, and primitives such as memory, voice mode, and artifacts. You'll be improving and scaling a product that has enormous reach. This requires strong systems thinking, judgement about what to build next, deep care for craft and quality, and the ability to move quickly in a highly cross-functional environment, while maintaining our commitment to safety and beneficial AI. Key Responsibilities Own the end-to-end strategy, roadmap and execution for your area Design capabilities as systems that flexibly extend to all Claude products Translate frontier model capabilities into simple, intuitive experiences that a broad consumer audience can understand and love Analyze product metrics and user feedback to identify opportunities and optimize performance Use a mix of quantitative data, experimentation, and user research to deeply understand user behavior and make prioritization calls Set a high bar for quality and craft — sweat the details of the everyday interactions that millions of people experience Partner closely with design, engineering, data science, research, and marketing to ship high-impact product improvements at a fast cadence Balance rapid iteration with our commitment to AI safety and ethics Minimum Qualifications Experience working on products with millions of users Exceptional product taste and instincts for what makes experiences delightful Highly analytical and fluent in experimentation and using data to drive decisions Excellent communication and stakeholder management skills Ability to thrive in a fast-paced, ambiguous environment Passion for AI technology and its potential impact on society Technical background or ability to work effectively with engineering teams Ability to translate nascent model capabilities into compelling product experiences Preferred Qualifications 8+ years of product management experience, across both consumer and enterprise Founder experience is a plus AI product experience is a plus Working on products that were both B2C and B2B is a plus 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: $385,000 — $460,000 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 States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Product Research Location: Remote US Compensation Range: $170,000.00 to $185,000.00  base plus bonus and equity What You’ll Do: Do you like getting into the weeds on all things technical, psychological, and educational, and have a desire to know how things work? Then this is the position for you. We are looking for that Swiss Army Knife that brings broad experience to each challenge presented. The Huntress Product team has the unique honor of waking up every morning knowing we’re going to make hackers regret targeting our partners and customers. As a Senior Product Researcher for our Security Awareness Training product, we’re looking for someone who wants to pour all of their creativity into building and implementing simple solutions that are disproportionately effective at countering these constantly evolving threats. One should have experience managing, deploying, and securing SMB environments utilizing a wide variety of security software, best practices, and automation tools. Familiarity with product management, incident response, social engineering, psychology, education, and managed service provider tools is an additional way to differentiate yourself. Responsibilities: Operate a proven industry-leading Security Awareness Training phishing program. Be the security expert designing and building phishing scenario emails & landing pages that simulate real cyber attacks for thousands of SAT learners. Every simulation is paired with coaching that shows learners the social engineering tells, how the learner can develop skills to identify social engineering tradecraft, the indicators, like hovering a link before clicking or receiving an unexpected email. Craft a growing library of common indicators and write new ones when a scenario calls for it. Comfortable scripting and coding to build proofs-of-concept and tooling with a keen eye for creating pixel-perfect simulated phishing emails & landing pages using HTML, CSS, JavaScript, & React. Take pride in delivering simulations impossible to distinguish from real tradecraft. The details are the job. Identify emerging social engineering tradecraft from attack patterns, email metadata, and web expertise. Today ClickFix attacks and variants dominate the threat landscape, but relentless hunger to get ahead of attacker tradecraft will mean translating the shifts in attacker tactics that matter into what the program teaches. Evolve deliverables with the tradecraft. Automate by default, evolving + expanding phishing content generation as an AI-powered system using Claude Code. Expand the program into new regions, more languages, more tailored content, and new kinds of learning experiences with the guidance of the Product Manager and Principal Product Researcher. Triage reported phishing emails, internal and external security incidents surfacing threat insights and trend analysis in the Huntress Threat Report, threat advisories, social media engagements, webinars & conference talks, resulting in strategic security awareness outreach campaigns. Align with the Principal Researcher to deliver unified Security Awareness Training and phishing program outcomes. Proven organizational and project management skills, with a keen attention to detail and sense of urgency to deliver an exceptional product under tight deadline pressures. Eagerness to engage, report, and be accountable to executive stakeholders. Passion to translate your expertise in technical & nontechnical ways to deliver impactful security outcomes that protect the 99%. What You Bring To The Team: Proficiency with HTML, CSS, Javascript & React, Angular, or Vue Proficiency with Claude Code, Codex, or Cursor with impressive projects to prove it Experience in manually building phishing simulation deliverables like emails and landing pages, simulating phishing attacks, then analyzing & reporting simulation results Experience triaging reported phishing emails, security incidents, and identifying trends + patterns Experience in analyzing, tracking, and defending against phishing attacks Experience identifying emerging tradecraft Social engineering experience, coursework, training, certifications Experience innovating training content Experience with eLearning design and development Experience developing marketing content for social media, YouTube, blogs & reports Spanish language skills desired, but not required What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: 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 Senior Analyst, Travel & Expense, you will run the day-to-day financial controls, audit program, and executive reporting behind Anthropic's T&E function. T&E touches every employee, every legal entity, and every executive, and it runs on Navan, Brex, and negotiated supplier agreements. Spend and transaction volume have grown several-fold in the past six quarters, and the controls need to scale to meet a public-company standard. You will report to the Head of Travel & Expense in Finance Operations and work daily with Accounting, Tax, Payroll, Talent, Security, Legal, Finance Systems and Administrative Business Partners. Responsibilities Controls & SOX Compliance Own the day-to-day operation of key T&E controls, including approvals, card issuance and spend limits, segregation of duties, and policy exceptions, within the control framework set by the Head of T&E, who owns the overall T&E process Maintain the T&E process narratives and risk and control matrix, and keep them current as systems and policies change Ensure correct GL coding and complete, accurate month-end reconciliations across Navan, Brex, and Workday, and support close, flux analysis, and accruals Act as the preparer for T&E controls and the day-to-day contact for internal and external auditors: gather and retain evidence, support walkthroughs and sample requests, and track remediation, escalating significant issues to the Head of T&E International Expansion Controls Set up and maintain entity-level coding and approval flows in Brex and Navan as new legal entities and countries come online Document and operationalize country-specific rules for per diems, VAT reclaim, non-USD cards, receipt requirements, and local tax treatment Partner with Tax, Payroll, and Global Mobility to ensure compliance Support accurate intercompany treatment of T&E costs across entities T&E Audit Program Help design, build, and run a risk-based audit program covering sampling, anomaly detection, misuse escalation, and remediation tracking Define and monitor pre-spend rules, duplicate and split-transaction checks, and receipt and 30-day submission compliance Build dashboards and reporting on policy compliance, exceptions, and control performance for Finance leadership Partner with the Head of T&E to deploy Claude to review transactions, flag policy exceptions, and automate recurring reporting Program Operations Own day-to-day T&E operations, supporting the growing volume of travel and expense activity and platform configuration and automation, so operations keep running without pulling focus from controls Own transaction-level review and receipt follow-up, and help shape what should be automated rather than staffed Partner with Benefits, Payroll and Legal to ensure the T&E program is compliant with relevant local and country requirements Preferred qualifications 7+ years of experience in travel and expense, corporate accounting, internal audit, or finance operations, ideally at a high-growth technology company Hands-on SOX or internal-controls experience: writing process narratives, testing or operating key controls, and working with external auditors Strong accounting fundamentals, including GL coding, account reconciliations, accruals, and month-end close support Deep platform expertise in Navan and/or comparable TMC platforms, plus Brex or equivalent expense management tools, and working knowledge of ERP integrations (Workday preferred) Strong analytical skills: comfort with large transaction datasets, sampling methods, and anomaly detection Sound judgment and discretion with sensitive information, and the ability to work credibly with senior executives and their support teams Clear written and verbal communication, with the ability to explain a control or an exception to Finance leaders, auditors, and employees An AI-curious, builder mindset: experience automating finance workflows with AI tools, or real enthusiasm for doing so, and comfort creating structure where none exists CPA, CIA, or equivalent certification Experience with multi-entity, multi-currency environments, including per diem rules, VAT reclaim, and cross-border tax considerations Experience with pre-IPO or newly public company readiness M&A integration experience a huge plus 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: $190,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Bangalore, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners . You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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: Remote - US About the Job: LaunchDarkly is looking for a Director, People Operations to lead the operating model, service delivery, and continuous improvement of People Operations and Talent Acquisition operations across the employee and candidate lifecycles. Reporting to the Senior Director, People Operations, you will lead a connected portfolio spanning global People Operations, Talent Acquisition Operations, employee and candidate experience, compliance-related workflows, operational governance, and team capability for a growing global company. You will translate business and People priorities into clear ownership, scalable processes, strong controls, and a reliable operating rhythm. This role will work in close partnership with the Director, People Programs, Systems & Analytics. The Director, People Operations will own operational outcomes, service delivery, process execution, and stakeholder partnership. The Director, People Programs, Systems & Analytics will own managing the strategy and roadmap for People programs, systems, analytics, AI, data governance, and change enablement. Together, these leaders will create a practical, integrated People operating model that is trusted by employees, candidates, managers, HRBPs, and business leaders. Responsibilities: People Operations Leadership Establish the global People Operations operating model across the employee lifecycle, including onboarding, offboarding, employee data changes, employment documentation, employee support, contingent workforce processes, international operations, and related service delivery. Manage the activities of the People Operations and Talent Acquisition Operations teams, creating clear expectations, effective prioritization, strong collaboration, and a culture of ownership and continuous improvement. Establish service standards, escalation paths, operating rhythms, and ownership models that make it easy for employees, managers, HRBPs, and cross-functional partners to get the right support. Own operational readiness and execution for policies, compliance-related workflows, employment agreements, audits, immigration and mobility processes, accommodations, background checks, and other high-risk employee lifecycle activities in partnership with Legal and relevant subject-matter experts. Improve the consistency, quality, and equity of the employee experience across U.S. and international processes while accounting for local requirements and operational complexity. Build scalable documentation, self-service resources, controls, and standard operating procedures that reduce avoidable manual work and improve accuracy. Manage key People Operations vendors and partnerships, including service quality, contracts, issue resolution, risk management, and performance against expectations. Serve as an escalation point for complex People Operations issues, using sound judgment, discretion, and a strong understanding of employee trust and business risk. Talent Acquisition Operations Establish the operating model for Talent Acquisition Operations, including recruiting intake, role setup, approvals, job posting workflows, interview coordination, interview loop management, candidate communications, offer process support, and recruiting operations reporting. Partner with Talent Acquisition leadership to improve recruiter and coordinator capacity, operating discipline, candidate experience, hiring-manager partnership, and consistency across recruiting workflows. Establish clear ownership and service standards across recruiting operations, including intake quality, scheduling, interview readiness, candidate handoffs, and offer-to-onboarding transitions. Identify opportunities to simplify and strengthen Greenhouse and connected recruiting workflows in partnership with the Director, People Programs, Systems & Analytics and technical partners. Support scalable recruiting programs, vendor management, executive recruiting operations, contingent recruiting processes, and other Talent Acquisition priorities as the business evolves. Use recruiting and operational signals to surface bottlenecks, clarify tradeoffs, and recommend improvements to hiring velocity, quality, candidate experience, and team capacity. Partnership with People Programs, Systems & Analytics Partner with the Director, People Programs, Systems & Analytics to maintain one integrated roadmap across People Operations, Talent Acquisition Operations, People programs, systems, analytics, and AI. Translate operational pain points and stakeholder needs into clear requirements, process improvements, system enhancements, reporting needs, and measurable outcomes. Jointly define operating metrics, service-level expectations, data requirements, and success measures for employee and candidate lifecycle processes. Ensure new systems, workflows, programs, and automation are operationally sound, documented, adopted, and supported after launch. Partner on data quality, process governance, access controls, reporting definitions, and responsible use of automation and AI involving employee or candidate information. Create a disciplined operating rhythm for prioritization, dependency management, risk review, decision-making, and communication across the People portfolio. Cross-functional Partnership and Change Partner closely with HRBPs, Recruiting, Finance, Legal, IT, AppEng, TechOps, Payroll, Workplace, Internal Communications, and external vendors to deliver reliable People and Talent processes. Lead change adoption for operational changes, including stakeholder alignment, communications, training, readiness, issue management, and post-launch improvement. Bring structure to ambiguous work, identify root causes, and make practical decisions that balance employee experience, candidate experience, compliance, speed, scalability, and cost. Represent People Operations and Talent Acquisition Operations in cross-functional planning, business reviews, and executive discussions. Build strong relationships with business leaders and managers so People processes are understood, usable, and aligned to business needs. Qualifications: 15+ years of experience in People Operations, HR Operations, Talent Operations, shared services, or a similarly complex People function, including 5 years leadership experience across both employee and candidate lifecycle operations. Demonstrated success designing or scaling a global People Operations or Talent Acquisition Operations operating models at both small as well as medium-to-large sized companies. Experience leading and developing teams across multiple operational disciplines, with a track record of creating clarity, accountability, and strong service delivery. Strong understanding of employee lifecycle operations, recruiting operations, HR compliance, employee data, HR systems, recruiting systems, and cross-functional dependencies. Experience with Greenhouse or an equivalent recruiting system, including workflows, approvals, reporting, integrations, or process improvement. Experience improving operational controls, documentation, self-service, service delivery, data quality, and process consistency at scale. Experience designing, managing, or improving integrations across HR systems and connected People tools to support reliable data flows and scalable operations. Experience partnering effectively with Legal, Finance, IT, Payroll, HRBPs, Recruiting, and business leaders on sensitive or high-impact work. Sound judgment when handling confidential employee and candidate information, compliance-related matters, escalations, and employee experience risks. Strong program management, prioritization, change leadership, written communication, and executive communication skills. Ability to use data and operational metrics to diagnose issues, set priorities, measure outcomes, and communicate recommendations. Willingness to remain close enough to the work to understand process details, remove barriers, and personally solve complex problems when needed. About You: You are a thoughtful, service-oriented People leader who combines operational discipline with empathy and care. You create clarity in complex environments and are comfortable making decisions when ownership, process, or information is incomplete. You see the connections between People Operations, Talent Acquisition, systems, data, compliance, and employee experience. You are hands-on enough to understand how work gets done and strategic enough to build a model that scales. You build trust through sound judgment, transparency, follow-through, and respect for confidential information. You are collaborative and pragmatic, with a strong instinct for root-cause analysis and continuous improvement. You care about creating consistent, equitable, and people-centered experiences for employees, candidates, managers, and internal partners. What Success Looks Like: People Operations and Talent Acquisition Operations have clear ownership, service standards, escalation paths, and operating rhythms. Employees, candidates, managers, HRBPs, and business leaders experience more consistent, responsive, and equitable support. Core employee and candidate lifecycle processes are documented, measurable, scalable, and supported by appropriate controls and self-service resources. People Operations and Talent Acquisition Operations teams are engaged, capable, and organized around the highest-value work. Greenhouse and connected workflows support a reliable, efficient, and high-quality recruiting experience in partnership with the People systems function. The People team has a clear, integrated roadmap across operational execution, programs, systems, analytics, and AI, with well-managed dependencies and decisions. Operational risks, data-quality issues, manual work, and process fragmentation are identified early and reduced over time. People leaders and business partners trust the function to deliver practical solutions, communicate clearly, and follow through on commitments. Pay: Target pay ranges based on Geographic Zones* for Level M4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270* Zone 3: All other US locations - $163,000 - $224,070** All Zones Inclusive of a 15% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with candidate needs. Exact compensation may vary based on skills, experience, and location. Restricted Stock Units, health, vision, dental, and mental health benefits are provided in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com.

Location: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Technical Support Engineer 2. About the job This position is needed for you to join the Support team and provide excellent technical support to users of the Email platform. Wearing the customer’s shoes is one of the core values of our company and excellent Support is what our customers have come to expect and love about Twilio. If you are a technically savvy individual who enjoys mentoring and raising the bar, and is also customer-focused with excellent communication skills, keep reading! Responsibilities In this role, you will: Provide product support for a wide range of customer inquiries received via telephone, email, social media and chat. Assess the nature of product or service issues and resolve a variety of complex  support problems. Log customer interactions and tag/categorize issues accordingly. Resolve a monthly volume of tickets consistent Be the point of escalation for middle complex issues within support, and escalate to Product and Engineering teams as necessary. Identify ways to improve existing processes and procedures. Mentor  newer members of the Customer Support team with customer issues. Contribute content to knowledge base to support team and customer enablement Ensure Support SLAs and CSAT goals are consistently met and ticket queues are well managed Other duties as required Incident report and Oncall Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 3+ years experience in a client-facing customer/technical support role, supporting Email, Communications, SaaS or related technologies A demonstrated history of customer focus, empathy, active listening, and the ability to diplomatically address customer concerns and provide feedback Experience communicating complex technical issues to both technical and non-technical audiences via phone or email Strong, creative problem solving skills Quick learner, willing to take initiative, and has great follow through A demonstrated ability to remain calm and effective at higher workloads as well as excelling at prioritization and evaluation of situational urgency A high-energy, optimistic outlook and positive attitude An empathetic approach to troubleshooting and customer service A demonstrated attention to detail, with the ability to quickly ramp up on new products, new technologies, and evolving customer or business needs Accountability - Being willing to answer for the outcomes resulting from their own choices, behaviors, and actions. Take ownership of situations that they're involved in Self Motivation - Motivated to do or achieve something because of one's own enthusiasm or interest, without needing pressure from others Focus - Achieve what they set out to do before launching new initiatives. Complete company-linked goals and tasks, not simply to be busy and active Experience with the following: Willing to work from 8.00 AM to 5.00 PM Ireland Local time Sunday - Thursday. Desired: Reading/Debugging HTML (a plus) SQL (a plus) Experience with SFDC, QuickBooks, Zuora or other financial management software and financial principles a plus for some roles (Billing) Postman or other APIs client Location This role will be remote, and based in Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. THE ROLE We're looking for a Marketing Developer to join our Growth & Lifecycle Marketing team. This is a 18-month fixed term contract position. This is a highly technical role that sits at the intersection of marketing, development, and data. You'll be the technical anchor for our multi-channel lifecycle marketing programs, building sophisticated automation systems, creating interactive email, in-app and web experiences, and ensuring our marketing technology stack runs smoothly. As our Marketing Developer, you'll work closely with marketers, designers, and engineers to translate business needs into technical solutions. You'll be the subject matter expert on our marketing automation platform (Braze) and push the boundaries of what's possible in lifecycle marketing. WHAT YOU'LL DO DEVELOPMENT & DESIGN - Create and maintain our email templates and email design system - Build interactive email experiences, including dropdowns, carousels, and AMP for email - Code advanced techniques like background images, device targeting, and dark mode support - Provide development guidance and support to the Lifecycle Marketing team for email and in-app message builds - Stay current on industry changes and email client support updates - Act as SME on email and in-app message feasibility, scope creative designs, and explain channel nuances - Troubleshoot and resolve complex email, in-app and web template issues MARKETING AUTOMATION & PLATFORM OPERATIONS - Design and build complex, multi-channel automation journeys in Braze - Manage platform administration, including roles, users, and account settings - Create and maintain custom HTML templates for in-app messaging - Write Liquid for complex personalization and dynamic content - Develop custom scripts (webhooks, advanced Liquid logic) to extend platform capabilities - Integrate external tools and platforms using APIs beyond native supported integrations - Test and support platform-side requirements for integrations (API requirements, custom attributes) - Provide solution design and support for non-Lifecycle teams utilizing our marketing tools DATA & PERSONALIZATION - Implement advanced personalization logic, including for loops, connected content, and catalogs - Write SQL queries for complex use cases and data extraction - Create advanced segmentation strategies - Build custom reports and data visualizations - Design technical solutions based on our relational database structures AI & WORKFLOW AUTOMATION - Evaluate, implement, and optimize AI tools that improve marketing efficiency and campaign performance, including personalization, audience segmentation, predictive analytics, A/B testing, and forecasting - Build automated workflows and integrations between AI tools and our marketing tech stack to cut manual work and automate data flows and reporting - Create scoping tools, templates, and self-service solutions that let marketers estimate timelines and resources and run campaigns independently - Train the team on new automation tools and document best practices for AI-powered workflows OPERATIONS - Manage the Lifecycle Marketing JIRA board and assign requests from cross-team partners - Translate business needs into technical solutions - Maintain deep links code snippets for use in templates - Serve as the technical SME for email and lifecycle marketing platforms WHAT YOU BRING REQUIRED SKILLS - 3–5 years of email development experience: coding and maintaining email templates or design systems - Expert-level email development: Proficient in HTML/CSS for email with deep knowledge of responsive design, email client quirks, and advanced techniques - Interactive email techniques: Experience building dropdowns, carousels, AMP for email, and other interactive elements - Marketing automation expertise: Proven experience building complex, multi-channel automation flows in platforms like Braze, Iterable or Salesforce Marketing Cloud - Experience with Taxi for Email or other EDS platform - Advanced scripting: Strong skills in Liquid, webhooks, and other marketing automation scripting languages - SQL proficiency: Ability to write complex SQL queries for segmentation and reporting - API integration: Experience integrating external platforms using APIs beyond standard supported integrations - Problem-solving: Exceptional troubleshooting skills for niche email and platform issues - Technical architecture: Ability to translate business requirements into technical solutions - Automation mindset: Strong instinct for identifying manual processes that can be automated and implementing scalable solutions NICE TO HAVE - Background in data visualization and custom reporting - Understanding of relational databases and data architecture - Experience managing technical projects and cross-functional stakeholder requests - Passion for staying current on marketing technology innovations and best practices - Familiarity with AI tools for marketing (generative AI, predictive models, content optimization) - Experience building internal tools or documentation systems for marketing teams - Knowledge of no-code/low-code automation platforms (Zapier, Make, etc.) WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

What You'll Work On. - Building and maintaining a Databricks Lakehouse on a medallion architecture.

Location: Remote Spain, Spain Workplace: remote Welcome to OLX  We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands – including AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.  Join OLX and see how far you can go. We believe the future of our products sits at the intersection of AI and design. Our ambition is to become an AI-native organization, where intelligent systems and human-centered design come together to create faster, smarter, and more meaningful customer experiences. We’re rethinking how products are built, how experiences are shaped, and how teams deliver impact. A key part of this transformation is creating the right foundations and infrastructure to enable high-quality experiences at scale - where design systems, patterns, and workflows are structured, scalable, and AI-readable, unlocking new levels of speed, consistency, and innovation. The role We're looking for a Senior Product Designer to join our Design System team, working across our Real Estate products. You'll play a key role in evolving our design system, helping designers and engineers across the business design and build with greater consistency, quality and pace. You'll work day to day within a small, dedicated pod, spanning web and app. But the system serves designers across multiple tribes, each shipping their own product work. You'll work within our contribution model, helping teams outside the pod propose, adopt and evolve components without fragmenting the system. We're looking for someone with strong craft, attention to detail, and curiosity about systems thinking and AI-assisted workflows. You'll help create a coherent product experience across our brands while developing your own design systems practice. Key responsabilities: Design and evolve reusable components, patterns and foundations within our design system, reducing duplication and improving consistency across tribes Define component behaviour, states and variants, working directly with engineering to ship them Run and improve the contribution model: the process and standards that let designers outside the core pod propose and ship components without breaking system coherence Support design work from problem framing through to documentation and handover, using research and feedback from teams to inform decisions Create clear documentation and specifications covering variants, edge cases and usage guidance Collaborate closely with engineers on token strategy and the practical link between Figma and production code Resolve conflicts between a tribe's local need and the system's long-term coherence Work with product design teams to identify gaps and embed stronger systems thinking across products AI-enabled Design Systems: Use AI-assisted tooling as part of your daily workflow, from research through to prototyping and component definition Contribute to making the system well-structured for AI-assisted workflows, including tokens, documentation and reusable patterns Know when to override AI output with your own design judgment, and be able to explain why What we're looking for: Proven experience designing and maintaining a design system at scale, not just documenting one Experience running or contributing to a contribution model, or a clear point of view on how you'd build one Strong technical fluency: you understand how your decisions translate into code, and work with engineers as a peer, not a handoff Sharp judgment on trade-offs: when to enforce consistency, when to allow exceptions Strong communicator, able to justify design system decisions to stakeholders who don't share your priorities, and bring other designers along rather than dictate to them Comfortable with AI-assisted tools, with an interest in applying them in practical ways to improve speed, quality and consistency Required experience A portfolio demonstrating strong product and systems thinking, with evidence of shipped impact, not just documented patterns Experience working in Figma, including component libraries, variables and tokens, alongside experience with built or coded prototypes Experience working closely with engineers to deliver high-quality, scalable outcomes Experience or strong interest in AI-assisted design or development workflows Hiring Process First Stage - Recruiter Screen This is your first interview with our Talent Acquisition team. We’ll explore your background, skills, and experience, as well as your approach to autonomy, ownership, and critical thinking. It’s also a chance to discuss your aspirations and ensure alignment with our culture and values. Second Stage - Portfolio Review In this stage, you’ll meet with the Hiring Manager and a Designer from the team. We’ll explore your process thinking and approach to design through a case study of your choice. This is also a great opportunity to discuss how you collaborate with others and how your values align with our team culture. Third Stage  - AI Sandbox Challenge This is a dynamic and interactive session where you’ll have the chance to demonstrate your thought process in action. It’s designed to give us insight into how you approach challenges, integrate AI into your workflows, and apply your skills in a practical setting. We aim to make this process clear, collaborative, and reflective of the way we work as a team. DEI statement OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us.  Privacy Data disclaimer OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Remote Spain, Spain Workplace: remote Welcome to OLX  We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands – including AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.  Join OLX and see how far you can go. We believe the future of our products sits at the intersection of AI and design. Our ambition is to become an AI-native organization, where intelligent systems and human-centered design come together to create faster, smarter, and more meaningful customer experiences. We’re rethinking how products are built, how experiences are shaped, and how teams deliver impact. A key part of this transformation is creating the right foundations and infrastructure to enable high-quality experiences at scale - where design systems, patterns, and workflows are structured, scalable, and AI-readable, unlocking new levels of speed, consistency, and innovation. The role We're looking for a Senior Product Designer to join our Design System team, working across our Real Estate products. You'll play a key role in evolving our design system, helping designers and engineers across the business design and build with greater consistency, quality and pace. You'll work day to day within a small, dedicated pod, spanning web and app. But the system serves designers across multiple tribes, each shipping their own product work. You'll work within our contribution model, helping teams outside the pod propose, adopt and evolve components without fragmenting the system. We're looking for someone with strong craft, attention to detail, and curiosity about systems thinking and AI-assisted workflows. You'll help create a coherent product experience across our brands while developing your own design systems practice. Key responsabilities: Design and evolve reusable components, patterns and foundations within our design system, reducing duplication and improving consistency across tribes Define component behaviour, states and variants, working directly with engineering to ship them Run and improve the contribution model: the process and standards that let designers outside the core pod propose and ship components without breaking system coherence Support design work from problem framing through to documentation and handover, using research and feedback from teams to inform decisions Create clear documentation and specifications covering variants, edge cases and usage guidance Collaborate closely with engineers on token strategy and the practical link between Figma and production code Resolve conflicts between a tribe's local need and the system's long-term coherence Work with product design teams to identify gaps and embed stronger systems thinking across products AI-enabled Design Systems: Use AI-assisted tooling as part of your daily workflow, from research through to prototyping and component definition Contribute to making the system well-structured for AI-assisted workflows, including tokens, documentation and reusable patterns Know when to override AI output with your own design judgment, and be able to explain why What we're looking for: Proven experience designing and maintaining a design system at scale, not just documenting one Experience running or contributing to a contribution model, or a clear point of view on how you'd build one Strong technical fluency: you understand how your decisions translate into code, and work with engineers as a peer, not a handoff Sharp judgment on trade-offs: when to enforce consistency, when to allow exceptions Strong communicator, able to justify design system decisions to stakeholders who don't share your priorities, and bring other designers along rather than dictate to them Comfortable with AI-assisted tools, with an interest in applying them in practical ways to improve speed, quality and consistency Required experience A portfolio demonstrating strong product and systems thinking, with evidence of shipped impact, not just documented patterns Experience working in Figma, including component libraries, variables and tokens, alongside experience with built or coded prototypes Experience working closely with engineers to deliver high-quality, scalable outcomes Experience or strong interest in AI-assisted design or development workflows Hiring Process First Stage - Recruiter Screen This is your first interview with our Talent Acquisition team. We’ll explore your background, skills, and experience, as well as your approach to autonomy, ownership, and critical thinking. It’s also a chance to discuss your aspirations and ensure alignment with our culture and values. Second Stage - Portfolio Review In this stage, you’ll meet with the Hiring Manager and a Designer from the team. We’ll explore your process thinking and approach to design through a case study of your choice. This is also a great opportunity to discuss how you collaborate with others and how your values align with our team culture. Third Stage  - AI Sandbox Challenge This is a dynamic and interactive session where you’ll have the chance to demonstrate your thought process in action. It’s designed to give us insight into how you approach challenges, integrate AI into your workflows, and apply your skills in a practical setting. We aim to make this process clear, collaborative, and reflective of the way we work as a team. DEI statement OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us.  Privacy Data disclaimer OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. The Role We are seeking a Senior Commercial Product Partnership Specialist to join our Commercial team in UK. In this pivotal role, you will act as the crucial link between our global Product Management organization and the regional Commercial teams. In this role, you will become the region’s go-to Subject Matter Expert, bridging the gap between global product innovation and local market reality. Acting as a localized specialist, you will focus on two critical areas: Product Expertise and Market Intelligence. You will drive the adoption and revenue of our product suite among our merchants, ensuring our stack aligns perfectly with local needs. Simultaneously, you will be our eyes and ears on the ground, analyzing macro trends and emerging growth areas to help steer our regional roadmap. This is a unique opportunity to build a pipeline of merchants based on product and market needs, and directly influence how we ship and position features in UK. What you'll be doing - Become the Regional Product Authority: Master the Checkout.com http://Checkout.com product suite to a granular level. You will know exactly which products, features, and configurations align with local merchant needs and regulatory requirements. - Drive Product-Market Fit: Act as the filter and feedback loop between the local market and our global Product teams. You will ensure we are shipping the right solutions for the region and help tailor our value proposition to win local market share. - Own Market Intelligence: Develop a granular understanding of the macro trends shaping the [Region] payment landscape. You will identify exactly what is growing within the market and which emerging verticals or technologies are gaining traction, allowing us to capitalize on new growth vectors ahead of the competition. - Stay Ahead of the Curve: Monitor competitor activity and emerging trends to ensure Checkout.com http://Checkout.com remains a market leader. You will provide actionable insights to commercial leadership on where the market is heading and how we can capitalize on new growth vectors before they become mainstream. - Lead Product Commercialisation: Define and lead the regional Go-To-Market strategy for a targeted portfolio of Services. You will ensure the local sales force is equipped to effectively position, sell, and support these solutions to maximize merchant adoption. - Build Revenue & Backbook Pipeline: Proactively build and manage a pipeline of merchants who can benefit from specific products we are shipping. You will forecast and track Net Revenue (NR) impact, focusing on cross-selling chargeable products to deepen our commercial footprint. About You - Experience: 6+ years of experience in Commercial Strategy, Product Management, Management Consulting, or a complex B2B Sales environment. - High Learning Agility: You are intellectually curious and a fast learner. You have the ability to absorb technical concepts quickly and can effectively communicate them to non-technical stakeholders. - Commercial Strategy: You are comfortable working with data, forecasting revenue, and building commercial pipelines. You understand how to identify cross-sell/up-sell opportunities within an existing client base. - Market Researcher: You have a natural ability to analyze market trends and macro-economics. You can look at a region and identify "what's next" before the competition does. - Cross-Functional Execution: You are comfortable actively partnering with global Product, Engineering, Marketing, Finance, and regional Commercial stakeholders to turn market insights into deployed solutions. - Data-Driven: You base your decisions on data. You can look at market numbers, usage stats, and financial metrics to derive clear, actionable strategies. - Desirable: Experience in FinTech or Payments is a plus, but not required. We are more interested in your ability to grasp complex ecosystems than your current industry knowledge. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Own full-cycle sales for a defined territory of prospects and existing customers, including prospecting, discovery, qualification, deal strategy, and close. Build and maintain a healthy pipeline through a mix of self-sourced outbound and channel-influenced opportunities sourced with Partner Account Managers.

Location: Bangalore, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Ability to work effectively across cultures and time zones as part of a global team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.

Collaborate with internal teams to align external content with the project vision. Coordinate with internal artists and production teams to ensure smooth collaboration with external partners.

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 We are seeking a Director, Technical Accounting – Investments and M&A to join our Finance team at Anthropic. In this role, you will own the company's accounting for strategic investments, partnerships with investment components, and related capital transactions, and support mergers and acquisitions when deal volume requires. You will report to the Senior Director, Technical Accounting – M&A and Investments. As Anthropic continues to scale rapidly and deploy capital into strategic investments, joint ventures, and novel commercial structures, including compute arrangements that carry warrants and other investment features, you will be a key technical resource on classification, consolidation outcomes, fair value, and financial statement impact across the portfolio. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that investment economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators. This is a builder role: you'll help stand up and continuously sharpen the portfolio accounting process, controls, and valuation governance expected of a world class finance organization, working alongside the Senior Director as the function takes shape. If you want to own a portfolio end to end — and still be in the room when deals are shaped — we want to hear from you. Responsibilities Execute technical accounting for strategic investments, joint ventures, partnership structures, and related financing/equity instruments from entry through exit Partner with and influence Corporate Development to steer investment structures toward preferred terms and outcomes, reviewing term sheets and deal documents before signing Own entry accounting for each new investment — classification under ASC 321, 323, or 810, VIE/primary-beneficiary analysis, basis differences, and the initial measurement memo Run the quarterly portfolio review — reconsideration events, impairment indicators, observable price changes, and equity method pick-ups — and account for follow-on investments, conversions, down rounds, and exits Own the investment rollforward, its reconciliation to the general ledger, and the portfolio reporting that supports close, FP&A, and leadership, including review of portfolio company financial statements Manage third-party valuation specialists; review fair values of investments, warrants, and derivative features, including Level 3 inputs and impairment analyses Assess warrants, equity rights, and other investment components embedded in partnerships and compute arrangements, partnering with Accounting Policy on how consideration is allocated Support M&A transactions alongside the M&A lead when deal volume requires — accounting due diligence, purchase accounting (consideration measurement, PPA review, opening balance sheet), and measurement-period adjustments Author and defend technical accounting policies & memoranda; partner closely with external auditors on investment, consolidation, and M&A matters Help build the investments operating model — intake form and approval gates, memo templates, quarterly checklists, and SOX-ready controls — designed to scale as the portfolio grows including utilizing Claude, ERP systems and third party applications (as applicable) Prepare and review investment and transaction disclosures for quarterly and annual filings, including fair value, equity method, and VIE disclosures Present investment accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms Monitor standard-setting and SEC developments affecting investments, consolidation, and business combinations; support adoption and cross-functional education Minimum qualifications Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a technology company and public accounting or advisory experience Proven experience leading complex valuations (e.g., business combinations, equity and debt investments, warrants and other Level 3 instruments), including directing and challenging the work of third-party valuation specialists Have owned the accounting for a portfolio of minority/strategic investments, including quarterly impairment and fair value monitoring and at least one investment of meaningful scale or complexity Possess deep command of US GAAP for investments in equity securities, equity method, consolidation and VIEs, fair value measurement, and business combinations, with a track record of positions that withstand auditor and regulator scrutiny Are fluent in valuation concepts and can direct and challenge third-party specialists on private company fair value, warrant/option pricing, impairment, and PPA models Have operated within an investments-accounting or deal-accounting function, contributing to playbook and controls design Communicate effectively with Corporate Development, Legal, and Tax on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders Demonstrate exceptional written and verbal communication, translating complex investment and deal accounting into clear business implications Excel at hands-on technical execution in a fast-paced, ambiguous environment, shifting between portfolio work and live deals as priorities change Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling Curious about and quick to adopt new AI tools, including Claude and Claude for Finance Preferred qualifications Have 10+ years of progressive accounting experience, including 4+ years owning strategic investment, equity method, or consolidation accounting end-to-end Have deep, practitioner-level expertise in one or more of the following: Investments in equity securities, equity method, and consolidation (ASC 321, 323, 810), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative Fair value measurement, derivatives, and embedded features (ASC 820, 815, 825), including warrants and Level 3 inputs for private company investments Business combinations and asset acquisitions (ASC 805), including contingent consideration and step acquisitions Collaborative arrangements and consideration exchanged in commercial deals (ASC 808, 606) Hold an active CPA license Have built an investment accounting process from the ground up, including intake, quarterly monitoring, and SOX-compliant controls over non-routine/complex transactions Have prepared or reviewed investment disclosures in SEC filings, including fair value hierarchy, equity method, and VIE disclosures Have experience with novel AI/technology structures — investments bundled with compute or commercial agreements, warrants received from customers or vendors, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to automate portfolio monitoring, memo drafting, and close 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 — $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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As a Manager of Startups Applied AI Architects at Anthropic, you will drive adoption of frontier AI by leading a team of technical architects to help startups build AI-native products with the Claude Developer Platform. Your team is expected to win the trust of founders and engineers by supporting their technical ambitions from early product to scale. You'll bring your own builder credibility and startup instincts to the role — setting the vision for what great technical partnership looks like in the startup segment, developing a high-performing team, and personally carrying relationships with Anthropic's most strategic early-stage accounts. This is a role for a proven technical go-to-market leader who knows how to build teams that move at startup speed, earn the trust of deeply technical buyers, and turn a scrappy early engagement into a lasting technical partnership. You'll define the playbooks for nurturing and scaling new customers, set the bar for technical excellence, and grow the people — while staying close enough to the ground to know what's actually working. You will partner with sales leaders and work as one team to support your customers. Responsibilities: Lead, develop, and grow a team of Startups Applied AI Architects — setting a high bar for technical credibility, customer impact, and startup-paced execution Drive team performance through clear goal-setting, regular coaching, and a culture of continuous technical development Personally lead pre-sales engagements with high-priority startup accounts, from initial technical discovery through deployment and expansion, modeling what great looks like for your team Build and own the segment's technical playbooks: how to run technical evaluations, develop customer-specific eval frameworks, architect LLM solutions for resource-constrained early-stage teams, and win against competitive alternatives Partner with aligned Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem Ensure your team consistently surfaces insights on how startups are building with Claude — emerging use cases, deployment patterns, architectural decisions — and translate that signal into actionable feedback for Product and Engineering Drive cross-functional influence across Sales, Product, and Engineering to advance startup customer needs and shape roadmap priorities Build Anthropic's technical presence and credibility in the startup ecosystem through events, conferences, workshops, and content Stay ahead of the AI engineering landscape — context engineering, eval frameworks, agentic architectures, developer tooling — and ensure your team is operating at the frontier You may be a good fit if you: Have 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 5+ years leading and managing pre-sales or technical go-to-market teams Have a strong track record of building and developing high-performing SA teams — you know how to hire well, coach effectively, and create an environment where technical talent grows and does their best work Have deep experience working with startups or high-growth technology companies — you understand the velocity, constraints, and culture of early-stage companies and know how technical decisions get made at each stage of the journey Bring genuine builder credibility: you've built and deployed LLM-powered applications, you speak the language of founders and founding engineers, and you can earn the trust of deeply technical audiences without relying on a title Have hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures, and can guide both your team and customers through the decisions that separate a prototype from a production-grade system Are comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks Are energized by building in ambiguous environments — you're excited to define the playbook, not just run it, and you thrive in fast-moving contexts where the technology and the customer segment are both evolving rapidly Have a genuine passion for making powerful technology safe and societally beneficial Strong candidates may have: Experience as a technical founder or in a founder-led sales motion, giving you firsthand understanding of what technical buyers in the startup world are actually evaluating A track record of winning competitive technical evaluations against other LLM providers Experience building foundational team infrastructure from the ground up: hiring frameworks, onboarding programs, technical playbooks, and coaching systems in a high-growth environment Deep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond, and how to adapt your team's approach accordingly A visible technical presence in the startup or AI engineering community through conference talks, written content, or open-source contributions 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: $315,000 — $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. 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.