Вакансии

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 an Applied AI Architect on the Startups team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems. Responsibilities: Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building You may be a good fit if you have: 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams Track record of selling technical products in competitive markets Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns Passion for making powerful technology safe and societally beneficial 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: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Cambridge, MA Workplace: Hybrid Making videos is easy. Making them work for your business? That is where Wistia shines. Our end-to-end platform gives businesses the tools to create, host, share, and analyze videos and webinars, all in one place. Our mission? To be the go-to video and webinar platform for businesses. And we know that mission starts with a team that feels valued, supported, and empowered to do their best work.   WHY THIS ROLE MATTERS Our Head of Sales will play a critical role in accelerating Wistia's revenue growth. You will build and manage a top-notch sales team, strengthen our inbound sales motion, stand up a brand-new outbound sales strategy, help us gain ground in the mid-market, and turn our comparatively new webinar product into a commercial success story. Working alongside Growth, Marketing, and Commercial Leadership, you'll sharpen our acquisition strategy and dial in the relationship between self-serve and sales ensuring the two motions compound rather than compete. You’ll also collaborate with GTM leaders to deliver a seamless customer experience and become a leading voice of the customer, shaping what we build   Who You'll Work With: You will lead a team of Account Executives and partner closely with Marketing, GTM Operations, Customer Success, Product, Finance, Growth, and our People team.   What It's Like Working on This Team: This is a hands-on, in-the-work leadership role. You will spend real time coaching reps, reviewing calls and outreach, and building the playbooks and systems that help the team perform consistently. The team values operational rigor paired with sales instinct, and collaborates closely with Marketing and GTM Operations rather than working in a silo. In addition to ensure top notch sales execution, you will also be crafting new sales strategies, as we move into the mid-market and focus on growing our webinar business. - Why is this role exciting? You will be responsible for leading our Sales organization as we work to accelerate our revenue growth, by growing our mid-market business, gaining share in the webinar market, and launching new Creation products. You will get to build something from scratch. Our outbound motion does not exist yet, so you will design the playbook, the targeting, and the messaging, and then build the team's skills to execute it well. - How does it directly support Wistia's mission? Wistia's mission is to be the go-to video platform for businesses, and this role directly drives the new business acquisition that fuels that growth, including helping our webinar product become a bigger part of our story. - What interesting challenges will candidates tackle? You will uplevel our team's strategic selling skills, build outbound sales from the ground up, figure out where AI can genuinely make the team more effective, and help shape which customer segments we go after next.   Work Environment: Hybrid with In-Office Requirement: This role is based in the Boston area, with an expectation of being in our Cambridge office at least one to two days per week. Preferred Time Zones: Eastern Time Travel Requirements: 1-2 days/week in our Cambridge, MA office. Team and company gatherings 3-4 times per year.   KEY RESPONSIBILITIES - Lead and grow a team of Account Executives selling into small and mid-market companies, coaching performance and holding a high bar. - Develop and execute sales strategies aligned with company revenue targets and growth objectives. - Strengthen our existing sales funnel through coaching, sharper playbooks, and operational rigor across the full sales cycle, with a particular focus on discovery and value-based selling. - Evaluate sales performance and diagnose where the biggest opportunities / challenges are. - Build a brand-new outbound sales strategy from the ground up: define who we target, build the playbook, and develop the team's outbound skills. - Partner with Marketing and our Commercial Leadership Team to sharpen our acquisition strategy, including lead sources, target segments, and messaging. - Bring AI into the sales motion in ways that make the team more effective and more efficient, from prospect research to personalized outreach.   WHAT WE'RE LOOKING FOR - A proven B2B SaaS sales leader with a track record of selling to mid-market companies through both inbound and outbound motions. - A strong coach and manager who has not just led a high-performing team, but has measurably improved one, through coaching, performance management, and the systems that make results repeatable. - Deep fluency in value-based, strategic selling methodologies (think SPIN, Sandler, Challenger, MEDDICC), with a track record of instilling those approaches in a team. - A customer-centric leader who genuinely understands buyers' needs and buying processes, and builds that mindset into the team's culture. - Bonus: experience selling MarTech or a broader GTM tech stack, and experience building an outbound motion from scratch.   WHY YOU'LL LOVE WORKING AT WISTIA At Wistia, we are building the leading video platform for small and medium B2B businesses, and we know that starts with our team. We support, challenge, and celebrate one another, and we invest deeply in connection. Why? Because strong relationships drive better outcomes, and because work is more meaningful when we genuinely care about the people we do it with. We care a lot, so our benefits are actually benefits, not just the fun stuff like swag and snacks in the office (though we have lots of those too!). We know the biggest investment we can make is in our employees, so we provide: - A competitive compensation package that includes employee stock options - 401k with 3% company contribution, regardless of whether you contribute (Roth 401k available) - Fully paid healthcare, dental, and vision insurance premiums (family plans included) - Pre-tax FSA and Dependent Care Account - 16 weeks of paid parental leave - Flexible Time Off. Everyone should get out of their office to recharge and reboot. - Annual professional development stipend (courses, conferences, and more) - New hire bonus to enhance your home office setup - Pet insurance discount Wistia provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. We believe in being transparent about compensation, which is why we share salary ranges in our job postings. We also recognize that every candidate brings a unique set of experiences and expectations. If you're excited about this opportunity but the range gives you pause, we'd still love to hear from you.

Location: Tokyo, Japan 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 Enterprise Account Executive, Retail based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's retail, consumer packaged goods (CPG), and general trading companies. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them optimize operations, strengthen supply chains, personalize customer experiences at scale, and sharpen their competitive position with Anthropic's AI solutions. Key responsibilities Own and exceed revenue targets by winning new major accounts and expanding existing relationships across Japan's domestic retailers, CPG manufacturers, and general trading companies Build and execute territory plans, identifying high-value opportunities across supermarket and convenience store groups, specialty retailers, food & beverage and consumer goods manufacturers, and sogo shosha and their group companies Lead consultative sales processes with senior executives — including CIOs, CDOs, CMOs, and heads of supply chain, merchandising, and DX — positioning AI as a driver for demand forecasting, personalization, inventory optimization, trade and supply chain operations, and enhanced customer experience Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that integrate with existing retail and enterprise technology stacks while meeting Japan's data privacy requirements under the APPI framework Minimum qualifications Enterprise sales experience in Japan with significant exposure to retail, CPG, and/or trading company accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach A track record of managing complex sales processes and securing strategic deals with large-scale retailers, consumer goods manufacturers, and trading companies by understanding the operational and technology challenges unique to Japan's consumer and trading sectors Demonstrated ability to navigate complex stakeholder ecosystems, building consensus across merchandising, supply chain, digital, marketing, and business division teams with multiple budget authorities and approval layers Proven experience exceeding revenue targets by effectively managing pipeline across seasonal retail cycles, the rapid decision-making cadence of consumer-facing businesses, and the consensus-driven procurement processes of trading companies Preferred qualifications 8+ years in relevant field A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments A strategic, analytical approach to identifying opportunities within Japan's retail, CPG, and trading sectors combined with patient, relationship-focused execution A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit Excellent communication skills in both Japanese and English What We Offer Competitive base salary and commission structure commensurate with experience Equity participation Comprehensive benefits package Hybrid work model with flexibility Access to cutting-edge AI technology and world-class research 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is expanding its reseller program in Japan and Korea. As our Reseller Operations Manager for Japan and Korea, you'll own how resellers in both countries get onboarded, transact, get paid, and get supported, across both of our resale motions: hyperscaler resale, where partners resell Claude through the cloud marketplaces (AWS Bedrock today, Google Cloud Vertex AI and Microsoft Foundry to follow), and direct resale, where partners resell on Anthropic paper through our own quote-to-order and billing systems. The global team builds the program; you make it work for Japanese and Korean partners and feed back what has to change. This is an operator role, not a partner manager role. In the first months you'll be validating deal registrations and answering partner tickets yourself; by the end of the first year the volume should be running on documented process, service levels, and vendor or system coverage that you set up. Key responsibilities Own reseller onboarding for Japan and Korea end to end: application intake, screening coordination, agreement execution, marketplace authorization, entitlement setup, and activation, and keep the partner record in Salesforce decision-grade for both regions. Run hyperscaler (3P) reseller operations: deal-registration intake and validation within SLA, marketplace authorizations and private-offer processing with the cloud alliance teams, and end-customer reporting on every reseller transaction so partner-sourced revenue can be attributed. Run direct (1P) reseller operations: partner quotes and order forms, order booking and provisioning, and commit tracking and true-ups with Deal Desk, RevOps, and Accounting, and work with Finance and Tax on local invoicing, currency, and consumption-tax handling for each transaction route. Run the regional side of reseller incentives: eligibility, validation of quarterly payouts, and partner disputes, in partnership with the global incentive operations team and Finance. Stand up first-line operational support for resellers in Japanese and Korean during local business hours, inside the global partner support queue rather than alongside it, and localize the onboarding, deal-registration, and ordering content partners depend on. Manage any outsourced or contracted operations capacity used in region (scope, quality, service levels) and coordinate with Enablement on the logistics of local-language certification and training. Own reseller reporting for Japan and Korea: registration volume and cycle time, activation, attach, and attributed revenue by partner and by motion, and use it to tell the regional teams and the global program what to fix next. Adopt the global Partner Operations playbooks where they fit, write the in-region variants where they don't, and represent Japan and Korea requirements in partner systems and automation work so manual volume doesn't grow with partner count. Minimum qualifications Several years in channel, reseller, distribution, or partner operations at a technology company, ideally touching both a cloud-marketplace motion and a direct or contract-based resale motion. Working proficiency in Japanese, Korean, and English. You'll run operational relationships with partners in both countries and work daily with a US-based team; proficiency doesn't need to be identical across all three, but you need to be able to work with partners in both regions. Practical knowledge of how at least one major cloud marketplace's reseller program works (authorizations, private offers, deal registration), or deep experience in one motion and a track record of picking up the other quickly. Hands-on experience with quote-to-order, order management, or partner billing, and the Finance, Deal Desk, and Legal coordination that comes with it. A track record of taking a manual process and turning it into documented workflow, service levels, and reporting, including managing vendors or contractors who execute part of it. Hands-on Salesforce experience (reporting, data maintenance), and comfort being the only operations person in the region while working with a team many time zones away. Preferred qualifications Experience inside the Japanese or Korean enterprise reseller and systems-integrator ecosystem, including local invoicing, credit, and consumption-tax conventions. Experience with partner incentive or rebate operations, or with a partner program during its launch phase. Experience with PRM or deal-registration tooling, or building automations with Claude or similar tools to run operational workflows at volume. How this role works with the team You'll report into Partner Experience and work day to day with two groups. The global Partner Operations team in San Francisco owns the reseller program's systems, and playbooks; our reseller operations owner there is your direct counterpart, and you'll split work along a simple line: they own the global process, you own its execution and adaptation in Japan and Korea. The Japan and Korea go-to-market teams own the partner relationships and the commercial conversations; you're the operational layer underneath them, and the person they come to when something about a partner's onboarding, order, or payout needs to move. You'll also be the regional voice into Finance, Deal Desk, RevOps, and the cloud alliance teams on anything that has to work differently in these markets. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises 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. You will focus on a short list of strategic accounts within our Enterprise Technology business. For each one you will co-own the account plan with the account executive, build executive technical champions, and drive a multi-quarter adoption roadmap. You will have breadth and depth, reproducing customer environments and problems, building working solutions with them, and develop deep relationships with our engineering and product teams, all in service of each account's strategic roadmap 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 Work with your customers on their overall AI adoption strategies, including use case scoping, architecture reviews, technical champion building, adoption workshops, and use case execution Support customers building with both the Claude API and Claude for Enterprise 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 Reproduce customer environments and problems in your own builds. Use them to prove the path to production Build deep relationships with Anthropic engineering and product teams. Carry customer needs into the product roadmap and bring product direction back to your accounts 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 to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 8+ years of experience in roles such as Field CTO, Solutions Architect, Sales Engineer, or Product Manager, with hands-on building experience Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Experience owning named or strategic enterprise accounts through long, multi-stakeholder buying cycles 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 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: $240,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Platform Security Engineering (PSE) sits within Data Center Security Engineering (DCSE). As Anthropic expands beyond traditional cloud providers into owned facilities, colocation, and partner sites, we take on the security responsibilities that cloud providers used to abstract away: firmware integrity, boot chain verification, platform trust, and host hardening. PSE exists so that Anthropic can deploy training and inference workloads to any qualified environment with a demonstrable security posture, including the technical controls behind our AI Safety Level commitments. We are hiring an engineering manager to lead a group of platform security engineers covering firmware research, OS and kernel hardening, platform trust integration, and server manageability firmware. You will own the roadmap for this group, grow the team, and be accountable for the security posture of the compute platforms Anthropic runs on: hardware roots of trust, secure and measured boot, attestation, firmware supply chain, and the integrity of the hosts that hold model weights on bare-metal infrastructure. This is a hands-on management role. You will not write most of the code, but you will review designs, make the final call on hard trade-offs, and be able to reason with your engineers from a silicon root of trust through firmware, bootloader, kernel, and host software. You will partner with infrastructure, fleet, and compute teams inside Anthropic, and with silicon vendors, OEMs, and compute providers outside it. You will report to the Data Center Security Engineering manager. Key responsibilities Lead and grow the platform security engineering group: hiring, onboarding, development, performance, and prioritization for full-time engineers, and coordination of contractor and vendor engineers working alongside them Own the platform security roadmap and its delivery: hardware root of trust and attestation, secure and measured boot across CPU, BMC, accelerator, and peripheral firmware, OS and kernel hardening, and the host-side pipeline that turns attestation evidence into production gates Own the firmware supply chain posture for the fleet: SBOM and reference integrity manifests, authenticated update, rollback protection, and the vendor relationships needed to get fixes shipped Drive platform risk assessments for new compute platforms and providers, and make evidence-based go/no-go recommendations with bounded risk rather than perfect-or-nothing gates Partner with infrastructure, fleet, compute, and detection and response teams so that platform controls land in production without degrading training or inference performance Manage relationships with silicon vendors, OEMs, and compute providers: security requirements, vulnerability management, disclosure and remediation timelines, and upstream and standards-body engagement (TCG, OCP, IETF) Run the team's operating rhythm: design reviews, threat models, incident participation for platform-layer issues, and clear written status to security and infrastructure leadership Minimum qualifications Have 10+ years in systems security, with at least 5 years focused on firmware, hardware, or OS-level security Have 5+ years as a people manager of security or systems engineers, including hiring and developing senior and staff-level engineers Can go from architecture to implementation detail with your engineers: secure boot, measured boot, TPM and other roots of trust, attestation protocols (SPDM, DICE, remote attestation), UEFI and BMC firmware, and Linux kernel  and OS hardening Have owned a technical roadmap end to end, including the prioritization calls when security, performance, and delivery timelines conflict Have worked directly with silicon vendors, OEMs, or cloud and bare-metal providers on security requirements and remediation, and can push a partner to a fix without burning the relationship Write clearly: design reviews, risk assessments, and status for executives are part of the job Are comfortable building a team and its processes from an early stage, with a scope that is broader than the headcount Preferred qualifications Experience managing a mixed team of full-time engineers, contractors, and vendor engineers while keeping design authority in-house Hands-on background in OpenBMC or other server management firmware, DRTM or secure launch, or confidential computing primitives (TDX, SEV-SNP, ARM CCA) A record of upstream contributions or maintainership in Linux, OpenBMC, or a comparable community, or standing in TCG, UEFI Forum, or OCP Experience securing large-scale HPC or AI training infrastructure Firmware vulnerability research, reverse engineering, or fuzzing background Experience running coordinated vulnerability disclosure with hardware or firmware vendors 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: $485,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's RL Data Platform team builds the systems that produce, move, and serve the human data Claude learns from: the interfaces humans use to give feedback, the pipelines that turn raw feedback into training signal, and the tooling researchers use to launch, monitor, and inspect data collection. Every RL run depends on a steady supply of high-quality data - human feedback, expert demonstrations, graded transcripts - and when a researcher has an idea for new data on Monday, our job is to make it collectable by Wednesday and in the training mix by Friday. This is a full-stack, ownership-heavy role on a small, senior team. You'll design and ship web interfaces used by thousands of expert annotators, build the backend services and data pipelines behind them, and work directly with RL researchers to understand what data they need and why. You'll scope your own projects, make architectural calls, and see them through to production. We're looking for engineers who treat researchers as their users, build for reliability first, and care as much about the shape of the data leaving the system as the UI going into it. Key responsibilities Design, build, and operate the feedback and data collection interfaces used by human annotators, domain experts, and internal researchers. Build and maintain the backend services, APIs, and pipelines that route model samples to humans and return structured feedback to training. Own the reliability, latency, and usability of systems that run continuously against live model endpoints. Partner with RL researchers to translate loosely specified data needs into well-scoped collection campaigns and the tooling to run them. Build dashboards, monitoring, and inspection tools so researchers can see data quality and throughput without asking an engineer. Identify and remove the bottlenecks between "we want this data" and "it's in the training mix". Minimum qualifications Strong full-stack engineering skills, with production experience in TypeScript/React on the frontend and Python on the backend. Experience designing and operating backend services and data pipelines that other teams depend on. A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use. Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn't worth building. Effective use of AI tools in your own day-to-day work. Care about the societal impacts of your work. Preferred qualifications Experience building annotation, labelling, evaluation, or other human-in-the-loop data tooling. Experience with RLHF, preference data, or other human-feedback pipelines for ML systems. Experience shipping researcher-facing or other expert-facing internal tools people love: interviewing users, hunting down friction, measurably improving the experience. Experience running experiments on data collection interfaces and using the results to improve data quality. Experience working with crowdworker or expert vendor platforms at scale. Familiarity with how LLMs are trained and evaluated. Representative projects Build an interface that lets a domain expert review a long agentic transcript, flag the step where things went wrong, and write a corrected continuation - with the result landing in a training-ready format. Rework the sampling path between our feedback interfaces and model endpoints to cut time-to-first-sample for annotators. Build a campaign launcher that lets a researcher stand up a new data collection effort (task, rubric, population, quality checks) without writing code. Instrument annotator behaviour to detect low-effort or adversarial work and surface it to the quality team automatically. Design the data model for a kind of feedback we haven't collected before, and ship the pipeline that gets it into the training mix. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Corporate Counsel, M&A to join our corporate legal team. As Anthropic continues to scale, we need an M&A attorney who can drive strategic transactions, including acquisitions, acquihires, minority investments, joint ventures, and other structured deals, from initial diligence through execution and post-closing integration, and help us build the playbooks and processes to do it repeatably. You will work closely with our Legal, Corporate Development, Finance, Accounting, and executive teams to execute transactions that support Anthropic's mission and growth objectives. Key responsibilities Lead legal workstreams on M&A transactions — acquisitions, acquihires, minority investments, joint ventures, and other strategic transactions — from due diligence through closing and post-closing integration Draft, review, and negotiate transaction documents including letters of intent, purchase agreements, ancillary agreements, and related closing documentation Manage and coordinate due diligence, including oversight of cross-functional workstreams and third-party advisors Provide practical counsel on deal structuring, risk allocation, purchase price mechanics, indemnification, and other key transaction terms Prepare materials for executive leadership (and, as needed, the Board) on transaction matters Manage outside counsel relationships on transactions, including staffing, budgets, and work-product quality Represent Legal on post-closing integration, working cross-functionally to ensure smooth transitions Develop and maintain standardized processes, playbooks, and template documents that drive efficiency and best practices across M&A transactions Support other corporate matters as needed Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Experience drafting and negotiating M&A transaction documents, including letters of intent, purchase agreements, and ancillary closing documentation A deep understanding of transaction structures, including stock purchases, asset purchases, mergers, acquihires, minority investments, and joint ventures Experience with both domestic and cross-border transactions Experience advising technology companies and startups on the unique legal issues they present Preferred qualifications At least 5-8 years of M&A legal experience at a nationally recognized law firm and/or in-house at a high-growth technology company Experience with public company securities law compliance and SEC reporting Experience with equity compensation matters in the deal context Experience with AI, machine learning, or other emerging technology companies Experience building M&A playbooks, templates, or processes on a lean team Exceptional analytical, drafting, negotiation, and communication skills, with the ability to translate complex legal issues into clear, practical advice Ability to thrive in a fast-paced, dynamic environment and manage multiple transactions and priorities simultaneously An independent self-starter who can drive projects forward with minimal supervision, and collaborate effectively with internal and external stakeholders at all levels Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, New York, or Seattle office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $335,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Montreal, Canada You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! About Us At DBSync we provide the opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spinned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our mission is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System 1. We genuinely care 2. We do not waste time on manual or mundane task 3. We have a fun environment 4. We own it 5. We are experts on what we do 6. We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. Best Relationship– Winter 2024 Leader Americas Winter 2024 Best Results – Winter 2024 Best Usability – Winter 2024 About the Role: We are seeking an enthusiastic and proficient Product Marketing Manager with a strong background in SaaS to join our team. The ideal candidate will excel at designing and executing high-impact marketing strategies that drive product adoption, generate qualified leads, and support business growth. This role requires a strategic thinker who can position our integration platform effectively in the market, craft compelling messaging, and act as a brand ambassador at industry events. You will collaborate closely with sales, product, and partner teams to ensure our go-to-market efforts resonate with customers and partners, while also engaging directly with stakeholders to highlight the unique value of our solutions. Job Responsibilities: Campaign Development & Execution: Develop and implement lead-generating sales and marketing campaigns across diverse channels, including digital, social media, and events, with a focus on SaaS products. Partnership Cultivation: Actively seek and engage new partners for our partner program, using your industry connections and insights, particularly within the SaaS industry. Event Participation & Field Visits: Represent DBSync at various industry events, conferences, and seminars, and be willing to visit partners and potential partners in person. Articulate the benefits of our SaaS integration solutions effectively. Revenue Growth: Contribute to the company's revenue growth by developing strategies that convert leads into sales, identifying new revenue opportunities, and optimizing marketing campaigns for maximum ROI. Team Collaboration: Collaborate with sales, product development, and customer service teams to ensure marketing strategies are aligned with overall business goals. Skills and Qualifications: Bachelor’s degree in Marketing, Business, or a related field. An MBA is a plus. Demonstrated experience of minimum 5 years in marketing, preferably within the technology or SaaS domain. In-depth knowledge of lead generation strategies and associated metrics. Outstanding communication and presentation skills. Proficiency in building and nurturing relationships with partners and stakeholders. Willingness to travel for events and in-person partner visits. Prior experience in SaaS product marketing Job Location: Montreal, Canada (Remote) Work Shift: U.S Shift (8:00 AM CST to 5:00 PM CST)

Location: United Kingdom; Ireland; Poland Workplace: Remote As a Senior Software Engineer on Coder’s Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences. What you’ll do here - Design and build production systems in Go, with work across React and TypeScript where needed. - Improve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Build reliable integrations between agents, workspaces, tools, and developer infrastructure. - Own projects from implementation through rollout and iteration. - Contribute to design reviews, code reviews, and technical discussions. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve the reliability, performance, and operability of agentic systems. What we’re looking for - Strong experience building and operating production software systems. - Hands-on experience with Go. - Experience with React and TypeScript. - Experience building systems around LLMs or agentic workflows. - Familiarity with model APIs, tool calling, context management, or agent loops. - Good understanding of distributed systems and production reliability. - Working knowledge of AWS. - Strong problem-solving skills and comfort working through technical ambiguity. - Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing. Bonus tacos if you have - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building integrations across multiple model providers. - Experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers. Our tech stack - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions Coder’s agentic architecture is provider-agnostic. The foundation is built; this role helps extend it, improve it, and ship the next set of agentic capabilities. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's billing surface is growing fast. New products, new regions, and new channels all need to be metered, priced, invoiced, and reconciled, and the work to make that happen crosses billing engineering, GTM systems, finance, and support teams. Today much of it runs on escalations rather than programs. We're hiring a Technical Program Manager to own the cross-functional programs in this space. You'll partner closely with billing engineering, GTM systems, finance and treasury, product, and support, and give leadership a single clear view of priorities, dependencies, and progress. Responsibilities Drive the cross-team programs that build billing platform foundations, from scoping and tradeoff decisions through delivery Standardize how new commercial work enters billing: a framework driven intake, clear owners, and sequenced dependencies across billing teams and their stakeholders Own the promotions program end to end: one repeatable path from proposal to configuration to reconciliation, for both self-serve and sales-led programs Own commercialization and launch readiness for billing: no new product or SKU launches without pricing, metering, invoicing, and reporting in place Own the change process for the charge pipeline Run payments operations programs in partnership with finance and treasury, including currency and FX You may be a good fit if you Have 6+ years of technical program management experience, with a track record of owning cross-functional programs end to end Can reason about metering, invoicing, and payment flows, and the data pipelines behind them Have run launch readiness programs where a new product needed its commercial and billing path in place before it shipped Can build trust with engineers, finance and treasury partners, GTM systems, product, and support teams, and translate between them Are comfortable driving outcomes across teams that don't report to you Would rather build a repeatable process than keep fixing the same problem by hand Strong candidates may also have Experience with promotions or credit programs or enterprise billing platforms Familiarity with FX, treasury, month end close, or reconciliation Background in payments operations, billing platform, or quote-to-cash product management Familiarity with chargeback and refund operations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Anthropic is seeking a partnerships leader to own the tri-party motion for systems integrator partnerships selling through AWS. Global systems integrators and specialist SIs are how Claude reaches enterprise customers at scale, and AWS is the surface most of that work runs on. You will own the intersection of those two ecosystems. In this role, you will build the go-to-market motion that turns partner interest into joint pipeline and closed revenue, working across AWS's partner organization and the AWS practices inside the world's largest integrators. You will define how Claude is positioned inside AWS partner programs, design the commercial mechanics that let partners transact and get rewarded, and build the joint plays that partners take to their customers. This is a build role. The partner ecosystem is early, the programs are still being designed, and you will be operating across three organizations whose incentives on any given deal don’t always line up. You will help shape how frontier AI technology reaches the enterprise through the services ecosystem. You will report directly to the Head of AWS GTM Partnerships. Key Responsibilities Develop and execute the GTM strategy for our systems integrator partnerships through AWS, including co-selling motions, joint business plans, events and segment-specific plays Own forecasting, pipeline development, and revenue targets for partner-sourced and partner-influenced business Design the commercial mechanics that make the partner motion work, including deal registration, marketplace program structure, and incentives Build and maintain executive-level relationships across AWS's partner organization and across partner AWS practice leadership Work with partners to develop repeatable, industry-specific solutions built on Claude, and help them build the delivery capability to take those solutions to market Partner cross-functionally with Anthropic's alliances, sales, partner marketing, and regional cloud teams to keep the motion consistent globally while regions execute locally Create and implement scalable processes for partnership operations, including escalation management, business reviews, and reporting Provide strategic market intelligence and competitive insights on the partner ecosystem to inform product and commercial strategy Identify where to concentrate investment across the partner portfolio and make the case to stop investing where returns are not there Minimum qualifications 12+ years of enterprise partnerships, alliances, or business development experience, with meaningful time spent on partner ecosystems Proven track record of building and scaling partnerships with systems integrators, consultancies, or channel partners Experience building a co-sell or channel motion from the ground up, including the commercial mechanics behind it Deep understanding of how cloud and partner field organizations operate, and the incentives that drive seller and partner behavior Track record of carrying and hitting a partner-sourced or partner-influenced revenue number, with credible forecasting behind it Strong executive presence and demonstrated ability to influence senior stakeholders where you have no formal authority Excellence in strategic planning, business operations, and program management Ability to balance strategic thinking with tactical execution, and a willingness to concentrate effort rather than spread thin Experience working with technical products and translating complex capabilities into business value Ability to travel up to 25% of the time Preferred qualifications Previous experience working with AWS or another hyperscaler partner organization Working knowledge of systems integrator operating models, including practice structures, delivery economics, and how services revenue drives partner decisions Background in AI/ML technologies or with developer-focused platforms and their partner ecosystems Experience scaling partner programs at a company moving from early traction to significant partner-driven revenue Management consulting experience earlier in your career 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: $365,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris, France 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. À propos du poste En tant que responsable de compte Entreprise chez Anthropic, vous intégrerez l’équipe fondatrice en charge du déploiement de nos solutions API et SaaS de productivité, à la pointe de l’IA, à destination des organisations du secteur automobile en France. Vous favoriserez l’adoption d’une IA sûre et de pointe en concluant des accords stratégiques avec des constructeurs automobiles, des équipementiers de rang 1 et de rang 2, ainsi que des fournisseurs de solutions de mobilité. Vous mettrez à profit votre expertise en vente consultative dans le secteur automobile pour stimuler la croissance du chiffre d’affaires, tout en devenant un partenaire de confiance pour les parties prenantes du secteur automobile. Vous les accompagnerez dans l’intégration et le déploiement de l’IA, en explorant tout son potentiel dans les domaines de l’ingénierie et de la conception, des opérations de fabrication, des services de véhicules connectés et de l’après-vente. En collaboration avec les équipes GTM, Produit et Marketing, vous affinerez continuellement notre proposition de valeur, notre méthodologie de vente et notre positionnement sur le marché afin de répondre aux besoins des décideurs du secteur automobile. Le candidat idéal est passionné par le développement de nouveaux segments de marché, par l'identification des opportunités à fort potentiel et mettre en œuvre des stratégies pour les saisir. En favorisant le déploiement des produits émergents d'Anthropic, vous aiderez les entreprises à acquérir de nouvelles capacités tout en favorisant le développement éthique de l'IA. Responsabilités: Développez le portefeuille clients et stimulez les revenus d’Anthropic dans le secteur automobile. Naviguez au sein d’organisations complexes du secteur automobile pour identifier les décideurs clés, les informer sur nos services et les accompagner vers le succès avec Anthropic. Vous serez responsable de l’ensemble du cycle de vente, depuis le premier contact jusqu’à la conclusion. Concevoir et exécuter des stratégies de vente innovantes adaptées aux cycles d'approvisionnement automobiles, à la qualification des fournisseurs et aux processus budgétaires afin d'atteindre et de dépasser les objectifs de chiffre d'affaires. Analyser les paysages, les tendances et la dynamique du marché automobile pour transformer les plans stratégiques en activités et campagnes de vente ciblées Mener l’expansion du marché en identifiant de nouveaux cas d’utilisation au sein des équipes d’ingénierie et de R&D, des fonctions de fabrication et de chaîne d’approvisionnement, des divisions véhicule connecté et logiciel, et des opérations d’après-vente. Collaborer de manière inter-fonctionnelle pour différencier nos offres destinées aux applications automobiles. Naviguer dans des écosystèmes complexes de parties prenantes du secteur automobile, notamment les dirigeants, les responsables de l'ingénierie et de la fabrication, les services informatiques et les bureaux d'approvisionnement, afin de parvenir à un consensus Informer les feuilles de route et les fonctionnalités des produits en recueillant les commentaires des utilisateurs et en transmettant les besoins du marché automobile. Fournir des informations qui renforcent notre proposition de valeur pour le secteur automobile Affiner continuellement la méthodologie de vente automobile en intégrant les enseignements dans les guides, les modèles et les meilleures pratiques. Identifier les améliorations des processus qui optimisent la productivité et la cohérence des ventes Profil recherché: Plus de 12 ans d'expérience en vente B2B dans le SaaS, les solutions API ou les technologies émergentes Un historique réussi de gestion de cycles de vente complexes au sein d’organisations du secteur automobile, avec la conclusion de contrats stratégiques grâce à une compréhension à la fois des exigences techniques et des cas d’utilisation dans le secteur automobile. Capacité démontrée à naviguer dans les structures organisationnelles et les processus d’approvisionnement du secteur automobile, en mobilisant l’adhésion des différents intervenants, notamment les dirigeants, les responsables de l’ingénierie et de la fabrication, et les services informatiques. Expérience approfondie dans la négociation d'accords complexes au sein des cadres d'approvisionnement automobile et des politiques de qualification des fournisseurs Expérience avérée de dépassement des objectifs de revenus grâce à une gestion efficace d'un pipeline et d'un processus de vente en constante évolution Excellentes compétences en communication et capacité à faire des présentations avec assurance devant divers publics du secteur automobile, des ingénieurs et directeurs d’usine aux cadres supérieurs. Connaissance approfondie des cycles d’achat du secteur automobile, des processus de décision et des principaux points de friction, y compris les longs délais liés aux programmes et les exigences de qualification des fournisseurs Une approche stratégique et analytique pour évaluer le marché automobile, combinée à une exécution créative et tactique pour saisir les opportunités Intérêt marqué et/ou expérience dans les systèmes d’IA avancés et leurs applications. Vous êtes particulièrement attaché·e à ce que les systèmes d’IA de pointe soient développés de manière sûre et éthique pour un usage automobile. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to automotive organisations across France. You'll drive the adoption of safe, frontier AI by securing strategic deals with vehicle manufacturers, tier one and tier two suppliers, and mobility providers. You'll leverage your consultative sales expertise in the automotive sector to propel revenue growth while becoming a trusted partner to automotive stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in engineering and design, manufacturing operations, connected vehicle services, and aftersales. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with automotive decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the automotive sector. Navigate complex automotive organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to automotive procurement cycles, supplier qualification, and budgeting processes to meet and exceed revenue quotas. Analyse automotive market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within engineering and R&D teams, manufacturing and supply chain functions, connected vehicle and software divisions, and aftersales operations. Collaborate cross-functionally to differentiate our offerings for automotive applications Navigate complex automotive stakeholder ecosystems including executives, engineering and manufacturing leadership, IT departments, and procurement offices to build consensus * Inform product roadmaps and features by gathering feedback from users and conveying automotive market needs. Provide insights that strengthen our value proposition for automotive * Continuously refine the automotive sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 12+ years of B2B sales experience in SaaS, API solutions, or emerging technologies * A track record of managing complex sales cycles within automotive organisations and securing strategic deals by understanding both technical requirements and automotive use cases Demonstrated ability to navigate automotive organisational structures and procurement processes, building consensus among diverse stakeholders including executives, engineering and manufacturing leadership, and IT departments Extensive experience negotiating complex agreements within automotive procurement frameworks and supplier qualification policies Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various automotive audiences, from engineers and plant managers to senior executives Deep understanding of automotive buying cycles, decision-making processes, and key pain points, including long programme timelines and supplier qualification requirements * A strategic, analytical approach to assessing the automotive market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for automotive use Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - US Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Site Reliability Engineer Senior (Sr SRE) Responsibilities:   • Provide technical leadership to a growing team focused on applying software engineering practices to operations at scale. • Monitor and report on service level objectives for a given applications services. Work with business and product owners to establish key performance indicators. • Participate in conducting technical training events, game day scenarios, and focused engineering spikes. • Design and architect operational solutions for managing applications, with the specific goal of increasing the automation, repeatability, and consistency of operational tasks. • Create and maintain monitoring technologies and processes that improve the visibility to our applications' performance and business metrics and keep operational workload reasonable. • Sponsor healthy software development practices. • Persistent testing of application and infrastructure resiliency over a variety of error conditions. • Partnering with security engineers and developing plans and automation too aggressively and safely respond to new risks and vulnerabilities. • Collaborate with internal teams to ensure that operational development solutions meet business requirements. • Provide architectural and practical guidance to software development to improve resiliency, efficiency, performance, and costs. • Develop, communicate, and monitor standard processes to promote the long-term health of sustainability and health of operational development tasks. • Collaborate with and include yourself into the “feature/Service” oriented development teams.    Qualifications:   • Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, MIS, or other related discipline required. • Prior relevant software development / architecture experience. • Good hands-on experience in a DevOps or System Administration role. • Prior experience building and supporting cloud-based solutions • Experience in a production environment supporting mission-critical applications • Experience in one or more of the following: C, C++, Java, Python, Go, Perl or Ruby. • Experience with algorithms, data structures, complexity analysis and software design. • Experience working with configuration management and deployment automation tools like Chef, Terraform, Puppet or Ansible. • Experience within operations, administering both Window (2003/2008/2012) and Linux machines. • Knowledge of the Software Development Life Cycle with experience working in QA and beta environments. • Proficiency in cloud computing concepts as well as on premise. • Experience working with Azure cloud infrastructure and services is strongly preferred. • Experience with virtualization and container solutions is strongly preferred. (ie. , Docker, Kubernetes, ECS) • A strong understanding of diverse infrastructure platforms and infrastructure concepts • A strong understanding of the Agile software development methodology • Knowledge of standard production practices including change management • Ability to debug and optimize code and automate routine tasks. • Systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive.    Nice to Have:   • Versatility as demonstrated with troubleshooting diverse sets of hosting technologies (web server platforms, Java application platforms, operating systems, network components, virtualization technologies, database platforms) • Healthy knowledge of Linux (have compiled your own kernel at some point, know how to trace syscalls, understand TCP, care about the difference between sysvinit/runit/systemd, etc.) • Knowledge of Open Source software’s and contributions to the open source community.     Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset. PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $142,300-177,900+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all USD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Job Description We are seeking an experienced Senior Integration Engineering Manager to lead and evolve PlayStation’s Enterprise Integration Engineering capability. We deliver reusable, scalable, and loosely coupled integrations that simplify and automate business processes, improving user experience and data quality across the enterprise. In this role, you will define the technical direction, engineering practices, and delivery strategy for our enterprise integration platforms (MuleSoft & SnapLogic), while leading and developing a high-performing team of integration engineers. You will be accountable for engineering strategy, delivery outcomes, technical quality and operational excellence. Working collaboratively with global engineering teams, engineering leaders & managers, architecture, business stakeholders and PMO, to ensure integration solutions are delivered on time, to a high standard of quality, scalability, reliability, and security. You will bring a strong technical foundation in integration design and delivery. Actively contribute to integration architecture and design discussions, provide technical leadership, and constructively challenge solutions where needed. You will mentor and develop engineers, foster a strong engineering team culture, and lead the growth of the Enterprise Integration Engineering capability at PlayStation. What you'll be doing: Technical Leadership & Architecture Define the technical roadmap for the enterprise integration platforms, ensuring they continue to meet current and future business needs. Evaluate emerging integration technologies and industry trends, recommending strategic investments where appropriate. Lead and guide the design of enterprise integration solutions across MuleSoft and SnapLogic, ensuring solutions are scalable, secure, reusable, and aligned to enterprise standards Review and constructively challenge integration designs, patterns, and technical decisions, providing clear direction to improve quality, resilience, and maintainability Drive adoption of modern integration approaches, including API-led, event-driven, pub-sub, asynchronous, and batch/data integration patterns Define and promote integration standards, design principles, and reusable patterns across the team Be the escalation point for operational and technical issues. Delivery & Engineering Management Own delivery across a portfolio of integration initiatives, ensuring commitments are met to agreed timelines, scope, quality, and business outcomes. Determine resource allocation, platform investment, and delivery priorities across multiple concurrent initiatives, balancing technical debt and operational risk to achieve business objectives. Define and continually improve the engineering operating model, delivery processes, and engineering metrics to increase delivery predictability, platform reliability, and operational excellence. Lead the team to solve complex technical and delivery challenges, ensuring issues are identified early and resolved effectively Ensure integrations are secure, scalable, resilient, and observable, with appropriate logging, monitoring, error handling, and operational support models. People & Team Leadership Line manage a team of integration engineers, including goal setting, performance management, coaching, and career development. Develop senior engineers and future technical leaders through coaching, mentoring, and structured career development. Drive an inclusive engineering culture focused on accountability, innovation, collaboration and continuous improvement. Lead hiring, onboarding, and organisational planning to build a scalable, high-performing engineering organisation. Build strong working relationships across global engineering teams and delivery partners. What we are looking for: 10+ years of experience designing and delivering enterprise integrations across one or more integration platforms (e.g. Informatica, Dell Boomi, Oracle Service Bus, or similar) 5+ years of hands-on integration design and development experience on MuleSoft and/or SnapLogic Strong technical understanding of enterprise integration architecture, patterns, and platform capabilities Proven experience leading and developing high-performing engineering teams, including senior engineers and technical leads. Proven experience reviewing technical design decisions, and providing constructive guidance to improve solution quality. Experience working with AWS-hosted integration environments, including messaging services such as SQS and SNS Experience with engineering delivery practices and tooling such as GitHub, Jenkins, Maven, and Terraform Experience integrating enterprise SaaS (e.g. Salesforce, Workday), cloud-hosted COTS (e.g. SAP) and custom in-house developed and hosted applications. Ability to balance technical leadership, delivery accountability, and people management responsibilities Excellent written and verbal communication skills, with the ability to present complex technical information clearly and concisely to engineering teams, senior stakeholders, and non-technical audiences Strong stakeholder management and collaboration skills Exposure to emerging integration approaches such as MCP servers and agentic-based integrations is desirable At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €111.800 — €167.600 EUR Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Milan, Italy 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, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises 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 to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native or C1 Italian speaker with fluent English proficiency Experience working with enterprise customers, 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 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 Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a detail-oriented and skilled Director of Payroll to join our growing Finance team in Singapore. In this role, you will be responsible for managing all aspects of international payroll processing, ensuring accuracy, compliance, and timely delivery of payroll services to our employees across multiple countries. This role will report to our Head of International Accounting with a dotted line to the Head of Global Payroll. Responsibilities: Execute full-cycle payroll processing for APAC international entities including India, Japan, South Korea, Australia, Singapore, and many more as we expand. Support expansion of payroll operations to new countries including Singapore, New Zealand, and others Support Corporate Accounting with month-end payroll related accounting tasks and questions Ensure compliance with local tax regulations and employment laws across all jurisdictions Manage relationships with third-party payroll providers Respond to employee inquiries regarding international payroll matters in a timely and professional manner Partner closely with the equity team to process stock options Resolve international tax notices from various tax authorities Collaborate with People, Tax, Global Mobility, Finance, and other departments to resolve payroll discrepancies and implement process improvements Assist in preparing international payroll reports and analytics for management review Support payroll systems integration projects and process automation initiatives Process end-to-end payroll using Workday and Global Payroll Platform (PwC) You may be a good fit if you Hold a bachelor's degree in Accounting, Finance, or related field Have 10+ years of experience in payroll operations, with at least 5 years in international payroll Are proficient in payroll processing for various compensation types (regular, off-cycle, severance, taxable benefits, and equity) Have strong knowledge of international payroll regulations and compliance requirements Are experienced with payroll journal entries, account reconciliations, and month-end close procedures Have experience working with Workday HRIS and global payroll providers such as PwC GPP platform (preferred) Possess excellent attention to detail, ability to multitask and maintain accuracy under tight deadlines Have strong analytical and problem-solving skills Are proficient in Microsoft Excel and Google Sheets Strong candidates may also: Have experience supporting rapid international expansion Possess knowledge of European employment law and tax regulations Have experience with payroll systems implementations Be familiar with Workday or other major HRIS platforms Hold a bachelor's degree in Accounting, Finance, or related field Have 5-6+ years of experience in payroll operations, with at least 3 years in international payroll Are proficient in payroll processing for various compensation types (regular, off-cycle, severance, taxable benefits, and equity) Have strong knowledge of international payroll regulations and compliance requirements Are experienced with payroll journal entries, account reconciliations, and month-end close procedures Have experience working with Workday HRIS and global payroll providers Possess excellent attention to detail, ability to multitask and maintain accuracy under tight deadlines Have strong analytical and problem-solving skills Are proficient in Microsoft Excel and Google Sheets Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Jose, California or Remote Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Remote (PST preferred) Annual Salary: USD 110,000 – USD 135,000 Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location. Type: Full-Time Reporting to: Senior Director, Growth Role Overview We’re looking for an Affiliate & Live Commerce Manager to help grow our affiliate and streamer ecosystem across TikTok Shop, Amazon Live, Twitch, Youtube Live, Whatnot, and other emerging live commerce platforms. This role will support our affiliate and live commerce initiatives by recruiting affiliates and streamers, coordinating campaigns, managing creator relationships, and helping execute live commerce programs that drive engagement, content creation, and sales. This is a hands-on role for someone who is passionate about affiliate marketing, social commerce, and live shopping, and is excited to help build and scale a fast-growing program at Nex. What You'll Do Affiliate Recruitment & Onboarding : Recruit, onboard, and manage affiliates, creators, and livestream hosts across TikTok Shop, Amazon Live, Twitch, YouTube, Whatnot, and other emerging platforms. Equip partners with the assets, messaging, product knowledge, and best practices needed to produce engaging content and successful livestreams. Relationship Management : Build and maintain strong relationships with affiliates, creators, agencies, and livestream partners while identifying new partnership opportunities that align with our brand. Campaign Coordination : Coordinate product seeding, creator gifting, commission structure, campaign timelines, and day-to-day communication to ensure seamless campaign execution. Performance Analysis : Monitor affiliate, creator, and livestream performance to identify top-performing partners, provide actionable insights, and optimize future campaigns. Program Operations : Help develop scalable processes, documentation, and workflows to support the continued growth of our affiliate and live commerce programs. What You Bring 3+ years of experience in affiliate marketing, creator partnerships, influencer marketing, live shopping, or social commerce. Experience working with TikTok Shop, Twitch, YouTube, Whatnot, or similar creator and live streaming platforms. Strong organizational and project management skills, with the ability to manage multiple campaigns simultaneously. Excellent communication and relationship-building skills with creators, agencies, and cross-functional teams. An analytical mindset with the ability to interpret campaign performance and identify opportunities for improvement. A self-starter who enjoys learning new platforms and thrives in a fast-paced, collaborative environment. Passion for creator and affiliate marketing, livestreaming, gaming, and emerging social commerce trends. Preferred Qualifications Experience supporting TikTok Shop affiliate and/or live shopping programs end-to-end from the brand side. Experience with gaming, consumer electronics, toys, or family-focused brands. #LI-Remote We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.