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Location: Poland; Moldova; Montenegro; Bulgaria; Kyrgyzstan; Azerbaijan Crystalia Glass LLC is a leading provider of premium glass products, dedicated to transforming spaces with elegance and sophistication. With a commitment to craftsmanship and innovation, we specialize in designing and manufacturing high-quality glass solutions for residential and commercial projects. Founded in 2017 in New York, the company has expanded its presence with offices in Los Angeles, Florida, and Texas. As a nationwide company, we serve clients across America, offering our signature glass products and services to diverse markets. We are looking for an Supply Engineer with a technical background to manage supply and procurement activities for glazing construction projects. In this role, you’ll manage different parts of our glazing projects and make sure everything runs smoothly. Your knowledge will be key to delivering high-quality results. Key Responsibilities 1. Production launch and control ⁠Starting production processes: setting up glass orders, checking hardware availability, and ordering any custom hardware or materials if needed. Inventory planning: forecast demand, ensure warehouses are supplied. 2. Suppliers and procurement Supplier sourcing: identify and evaluate local/international suppliers. Negotiate prices, payment terms, delivery timelines. Ordering consumables for the installation team and warehouse (based on calls). Following up with suppliers about order status and solving any issues with delivery or pickup to warehouses. 3. Drawings and documentation Review technical drawings and specifications to create material lists. Check dimensions, finishes, and quality requirements before ordering. ⁠Keeping track of changes in estimates and documents. ⁠Making sure technical documents and component orders are prepared on time for container arrivals. 4. Cross-team collaboration Cross-functional collaboration and consulting with Sales, Project Managers, designers/engineers, and estimators. Support teams with substitutions and change orders. Provide pricing and material info for budgeting. Help the warehouse team check if parts match drawings. Requirements 1+ years in procurement, supply chain, or engineering (construction, manufacturing, or related industries). Ability to read and interpret technical drawings. Fluent in English C1 and Russian C1 Strong organizational skills with experience creating material lists from specifications. Supplier negotiation and international sourcing experience. Confidence working with spreadsheets and procurement systems. Ability to work in a multitasking environment, prioritize effectively, and meet deadlines. Nice to Have Familiarity with AutoCAD or similar software for reviewing drawings. Experience with CRM systems for purchasing and inventory management. Benefits Fully remote job opportunity. 8.30 - 5 PM EST (NY time zone) Joining a highly professional and dynamic team. Transparent career growth opportunities with a focus on professional and financial development B2B contract

Location: Mexico Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We admire the importance of innovative social media strategies and are committed to connecting talented individuals with great companies that need their unique skills. Our mission is to provide great jobs to gifted people, regardless of location. About the Client Our client helps high-achieving men rebuild their lives from the inside out, marriage, family, identity, and purpose. They have an established content engine and a large existing audience across social platforms, with hundreds of long-form videos and a deep library of short-form content, client testimonials, VSLs, and organic content continually being produced and tested. They’re looking for a Meta Media Buyer who can turn that creative engine into predictable, scalable customer acquisition. About the Role Paid acquisition is a major growth channel for our client, and we need a dedicated owner of our Meta advertising. This is not a general digital marketing position, and it is not a role for someone who simply launches campaigns and checks Ads Manager once a day. You will own Meta campaign execution and optimization end to end: campaign structure, budgets, testing, creative performance, audiences, tracking, lead quality, and scaling. You’ll work closely with our organic and creative teams. When content breaks out organically, you should know how to test it as paid creative. When an ad works, you should understand why it works and be able to tell the creative team what we need more of. Ultimately, your job is not to generate cheap clicks or leads. Your job is to help us acquire qualified prospects and customers at economics that allow us to scale. Responsibilities 1. Meta Campaign Management Own day-to-day execution across Facebook and Instagram advertising through Meta Ads Manager. Build, launch, manage, and optimize campaigns across the customer acquisition funnel. Manage campaign structure, budgets, bidding, audiences, placements, optimization events, and spend allocation. Monitor account performance consistently and make informed adjustments rather than allowing declining campaigns to run unchecked. Maintain clean campaign structures and naming conventions so the account remains organized, understandable, and scalable. 2. Performance & Budget Optimization Own the numbers behind paid acquisition. Monitor and analyze the metrics that matter, including CPM, CTR, CPC, CPL, cost per booked call, CAC, conversion rates, lead quality, spend, and revenue performance. Understand where performance is breaking down. A rising CAC does not automatically mean the audience is the problem, and a low CPL does not automatically mean the campaign is successful. Follow the lead beyond Meta. Work with our sales team to understand whether campaigns are generating qualified applications, booked calls, show-ups, and customers — not simply form submissions. Identify where additional budget can be deployed profitably and where spend needs to be reduced or redirected. 3. Creative Testing & Analysis Develop and maintain a structured testing system for hooks, angles, messaging, formats, offers, CTAs, and creative concepts. Analyze creative performance and identify patterns across winning and losing ads. Be able to explain more than “this ad has the lowest CPL.” We want someone who can identify why an angle is resonating, which hooks are producing qualified prospects, what is losing effectiveness, and what should be created next. Give the creative team specific, actionable briefs and feedback based on performance data. Work closely with our Social Media Manager to identify organic winners that should be tested as paid creative, including reusing organic post IDs where appropriate to carry existing social proof. 4. Testing & Scaling Build a disciplined testing process rather than making random changes inside the ad account. Know how to determine whether a test has enough data to make a decision and distinguish meaningful performance changes from normal fluctuations. Identify winners, iterate on them, and scale them intelligently. Know when to increase spend, when to consolidate, when to introduce new creative, when to let a campaign stabilize, and when something genuinely needs intervention. Balance growth with efficiency. We don’t want someone afraid to spend money when the economics support scaling — or someone who increases budgets simply because Meta is reporting good numbers. 5. Tracking & Attribution Ensure Meta Pixel, Conversions API, conversion events, UTMs, landing-page tracking, and relevant CRM attribution are functioning correctly. Identify tracking discrepancies and work with the appropriate team members to resolve them. Understand the limitations of platform attribution and use available business data to develop a more complete picture of campaign performance. Paid acquisition doesn’t end when someone submits a lead form. You should be able to connect ad → lead → appointment → sales outcome → customer acquisition cost. 6. Reporting & Communication Own clear and consistent reporting on paid acquisition performance. Communicate what happened, why it happened, what was learned, and what you’re doing next. Report on spend, lead volume, CPL, qualified leads, booked calls, CAC, creative performance, testing results, and relevant funnel metrics. Flag meaningful performance changes quickly rather than waiting for someone else to notice them. Requirements You have experience working with U.S.-based DTC e-commerce businesses generating seven- to eight-figure annual revenues. 3+ years of hands-on experience managing Meta Ads (Facebook and Instagram). Strong proficiency with Meta Ads Manager. Demonstrated experience managing and scaling meaningful paid advertising budgets. Strong understanding of direct-response and performance marketing. Experience with lead-generation and conversion-focused campaigns. Strong understanding of campaign structure, audiences, bidding, budgeting, optimization, and scaling. Strong creative analysis and ad-testing skills. Ability to interpret advertising and funnel data and translate it into specific actions. Understanding of Meta Pixel, Conversions API, conversion events, UTMs, and attribution. Ability to evaluate performance beyond platform metrics and connect advertising results to downstream sales outcomes. Strong written and verbal communication skills. Strong organizational skills and attention to detail. Ability to work independently, take ownership, and proactively identify and solve performance problems. Nice to Have Experience with high-ticket coaching, education, personal development, mental health/fitness, or information-product businesses. Experience working with a setter/closer sales model and understanding what happens to paid leads after they enter a CRM. Experience with application, booked-call, VSL, or similar high-ticket acquisition funnels. Experience working with founder-led or personality-driven brands. Experience turning organic content into successful paid creative. Strong understanding of CRM attribution and the connection between ad-platform data and actual sales outcomes. What We’d Like to See From Candidates We’re much more interested in proof of work than media-buying buzzwords. Be prepared to show accounts or case studies you’ve personally managed and explain your role in the results. We want to understand the monthly Meta spend you’ve personally managed, the type of business and offer you advertised, your CPL/CAC or other relevant acquisition results, how you approached creative testing, what you successfully scaled, and an example of a campaign that stopped performing and how you diagnosed it. You should be able to explain your decision-making, not simply show us a screenshot of a successful Ads Manager dashboard. Out of Scope for This Role This is specifically a Meta Media Buyer position. You are not responsible for organic social media management, community management, email/newsletter marketing, or managing Google, YouTube, TikTok, or other paid advertising platforms. Our Social Media Manager owns organic social end to end and influences paid creative but does not run the ad accounts.

Location: Mexico Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We admire the importance of innovative social media strategies and are committed to connecting talented individuals with great companies that need their unique skills. Our mission is to provide great jobs to gifted people, regardless of location. About the Client Our client is a modern packaged food and functional wellness brand built around the belief that great food should support both wellness and enjoyment. The company is committed to creating products with thoughtful ingredients and a strong attention to detail, while bringing a sense of wonder and adventure to the everyday food experience. Its mission is to help customers thrive in the present by providing wellness, great taste, and inspiration. Our client flagship products are soft, dessert-inspired protein bars made with grass-fed bovine collagen peptides, combining functional nutrition with indulgent flavors. About the Role We’re looking for a technically strong, hands-on E-commerce Operations Manager to oversee the day-to-day operations of a growing direct-to-consumer (DTC) business. In this role, you’ll coordinate internal team members and external agencies across paid acquisition, retention marketing, and website operations, ensuring that projects are executed correctly, systems are working as expected, and nothing falls through the cracks. This is not a traditional project management or high-level strategy role. We need someone who understands how e-commerce platforms and marketing channels work in practice, can confidently navigate tools like Shopify, Meta Ads Manager, and Klaviyo, and knows how to identify and troubleshoot issues when something goes wrong. You won't necessarily be responsible for executing every marketing initiative yourself, but you'll need enough hands-on experience to evaluate the quality of execution, understand performance data, hold partners accountable, and occasionally step in to resolve operational issues. You'll work directly with the business owner in a fast-moving environment where priorities can change quickly. This is an opportunity for someone who enjoys taking ownership, solving problems, and keeping a growing e-commerce operation running smoothly. Responsibilities Coordinate internal team members and external agencies across paid acquisition, retention marketing, and website management, ensuring priorities are clear and deliverables are completed on time. Monitor Meta and Google Ads execution, review campaign activity and performance data, and ensure agencies are implementing campaigns correctly. Oversee email and SMS marketing operations through platforms such as Klaviyo, checking campaign schedules, flows, launches, and performance. Regularly review the Shopify storefront to identify issues, verify updates, and ensure website changes and initiatives are implemented correctly. Investigate problems such as missed email sends, campaign setup errors, platform access issues, or website operational issues, resolving them directly when appropriate or coordinating with the responsible team. Gather and interpret data across acquisition, retention, and website operations to provide visibility into performance, identify issues, and support informed business decisions. Follow up on deliverables, identify execution gaps, communicate expectations, and ensure outstanding tasks are resolved rather than simply reported. Keep initiatives moving across multiple channels, coordinate dependencies, and ensure stakeholders have clear visibility into progress and priorities. Identify operational inefficiencies, recurring issues, and opportunities to improve processes, execution quality, and overall e-commerce performance. Requirements 3+ years of relevant experience in e-commerce operations, DTC marketing, e-commerce project management, or a similar hands-on role. Experience working with a direct-to-consumer (DTC) or e-commerce brand, or at an agency supporting e-commerce businesses. Practical familiarity with Shopify, including navigating the platform, reviewing storefront changes, and troubleshooting basic operational issues. Experience with Meta Ads Manager and a working understanding of paid acquisition campaign setup, execution, and performance monitoring. Familiarity with Klaviyo or similar email and SMS marketing platforms, including campaign scheduling, launches, and basic troubleshooting. Exposure to Google Ads and an understanding of how paid acquisition fits into the broader e-commerce operation. Strong analytical skills, with the ability to navigate dashboards, interpret performance data, identify inconsistencies, and communicate findings clearly. Proven project and stakeholder management skills, including coordinating agencies, following up on deliverables, and ensuring accountability across teams. A hands-on, solutions-oriented mindset. You're comfortable getting into the details, investigating problems, and taking action rather than simply escalating issues. Strong organizational skills and the ability to manage shifting priorities in a fast-paced environment. Excellent written and verbal English communication skills, with the confidence to communicate directly with U.S.-based leadership and external partners. Comfortable with occasional urgent requests outside standard working hours when business-critical issues arise. These situations are not constant, but flexibility and responsiveness are important.

Location: Thuwal, Saudi Arabia We are seeking a highly organized and proactive Program Coordinator to oversee program activities, coordinate with internal and external stakeholders, and ensure the effective delivery of training and educational programs. The ideal candidate should possess excellent communication and organizational skills, with fluency in both Arabic and English. Key Responsibilities Coordinate and administer all aspects of ongoing programs, including planning, organizing, and execution. Develop and manage program schedules, ensuring activities are completed within established timelines. Coordinate the delivery of training courses and programs to customers and participants. Liaise with clients, team members, and stakeholders in both Arabic and English to achieve program objectives. Monitor program performance, track progress, and prepare regular reports. Assist in preparing and managing program budgets and financial reports. Communicate program-related updates, concerns, and challenges to the relevant management team. Ensure compliance with organizational policies, procedures, and quality standards. Provide Arabic–English translation and interpretation support when required. Identify opportunities to improve program efficiency, coordination, and service quality. Requirements Bachelor's degree in Business Administration or a related field. A Master's degree is preferred. Proven experience in program coordination, project management, or a related field. Fluency in Arabic and English is mandatory, both written and spoken. Excellent organizational, multitasking, and time-management skills. Strong communication and interpersonal abilities. Proficiency in Microsoft Office Suite or similar productivity tools. Knowledge of program management, planning, and development procedures. Ability to manage multiple projects simultaneously with accuracy and attention to detail. Strong problem-solving and analytical skills. Ability to work independently and collaboratively with diverse teams.

Location: United States, Remote 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. As a Senior Product Security Analyst within our Game Security Team, you play a critical role in safeguarding our community from bad actors, ensuring that the spirit of friendship remains the cornerstone of every world we create. You will leverage our anti-cheat detections and use your detective skills to find those folks who would compromise our worlds and spoil our players’ experiences. You will work with engineers and data scientists to piece together the clues to make the picture come together and create a portfolio of evidence so that we can confidently isolate cheaters and ensure fair and honest gameplay. Responsibilities: Conduct in-depth investigations using game data and telemetry focused on identifying cheaters Prepare clear, detailed investigation reports where findings and recommendations are supported by specific data and evidence. Work with the team to prioritize, validate, and tune cheat detections. Collaborate as a valued team member, contributing to and supporting our collective pursuit of shared objectives REQUIRED Skills: Solid track record as a tech-savvy investigator, adept in uncovering information, tackling complex problems, and conducting thorough monitoring of adversaries Possess the versatility to effectively collaborate within a team setting and the initiative to autonomously drive projects to completion with minimal supervision Proven ability to craft and present conclusive, data-driven reports that drive action and targeted outcomes Proficient with querying relational databases (e.g., SQL), big data service (e.g., Redshift, Omni, Snowflake or Big Query) Familiarity with the AAA Games Cheating/Security landscape, and a passion for protecting player experiences. Bachelor’s degree or equivalent Nice-to-have Skills : Game security, anti-cheat, or similar investigative experience. Utilizing data visualization tools (e.g., Tableau, Omni) to interpret and present data insights Additional language proficiency (e.g., Chinese, Korean, Russian, Japanese, Spanish) 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 medical, dental, vision, matching 401(k), 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. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $177,300 — $265,900 USD 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 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: Remote (USA) Workplace: remote Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes. Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility. Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation. What You'll Be Doing Medicaid policy analysis Interpret state and federal Medicaid program rules, eligibility and aid-code structures, benefit and coverage design, and program guidance — translating them into precise, testable analytic logic (cohort definitions, code sets, exclusions, stratification criteria) and documenting the interpretation so decisions are auditable Advise senior customer leadership on what the data can and cannot support — whether a proposed definition is measurable, what the volumes look like, what a threshold does to caseload, cost, or provider capacity — and anticipate how policy changes (fee-for-service transitions, waivers, provider network rules) affect the data and the questions ahead Technical analytical delivery Turn ambiguous policy and operational questions into member and provider data marts, cohort and stratification logic, and registry extracts — in SQL (and Python where needed) on Foundry and Redshift/Athena Deliver them in the format the customer needs — dashboards, recurring reports, Excel, and leadership decks Root-cause data-quality issues — reconcile counts across sources, trace bad fields to the source, and agree definitions for undocumented fields and codes with the customer's data staff Customer presence and engagement Serve as the senior analytic voice for state program leadership, policy and data staff, prime contractors, and vendor partners — participating in recurring working sessions and translating between policy, operational, and technical audiences Set priorities, scope, and timelines with Customer Management, and hold real authority to push back on what is and isn't feasible or worth building Create client-facing materials — leadership summaries, detailed methodology decks, decision memos, technical explainers — tailored to audiences from highly technical data counterparts to policy and executive stakeholders What You'll Need To Have Working knowledge of how health programs and managed care plans work, and the ability to turn policy documents and program rules into analytic logic. Direct Medicaid or managed care plan experience is a plus Clinical code and claims fluency — ICD-10, CPT/HCPCS, and revenue codes to build clinical cohorts; claims, eligibility, and provider/NPI data (NPPES, enrollment files); and judgment about claims timing and completeness Hands-on, demonstrable fluency with AI coding and analysis tools (Claude Code, Cursor, or similar) as the core of how you work. Picking these tools up quickly and using them heavily is central to how you will onboard and how much you can deliver in this role. Be ready to show us what you have built with AI assistance, how fast you turn work around, and how you review and validate it Advanced SQL (CTEs, window functions, performance on large claims and eligibility tables) and data modeling, to a real engineering standard Hands-on experience building dashboards and reports in a BI tool (QuickSight, Power BI, Tableau) and Excel, plus executive-ready decks Direct customer-facing experience with senior stakeholders — comfortable scoping ambiguous requests, navigating competing priorities, and exercising sound analytical judgment about what to build and what the data can support, on short timelines and without close oversight A track record of leading an analytic program end to end for senior customer or executive audiences — setting your own priorities, and operating without a project manager or close direction Sound judgment with sensitive data and PHI What “Principal” means here This is the most senior analytic role on the Customer Insights team. It is expected that you can: Set your own priorities and make the call with incomplete information Act as the senior analytic voice with agency and partner leadership Raise the bar for the analysts around you — through standards, review, and example Don't need a project manager or close direction We are hiring for the combination of policy fluency, customer presence, and technical skill — we understand candidates may be strongest in one or two of these areas and will build the rest quickly, and speed of ramp matters more to us than any one credential. Tell us where you are strongest and how you have ramped before. Would Love For You To Have Direct experience with a state Medicaid agency, a Medicaid-serving prime contractor or consultancy, or a Medicaid managed care plan — California Medi-Cal experience is a real plus Familiarity with population health concepts: risk stratification, registries, care management, network adequacy, and access and equity analysis Experience with Python and dbt; familiarity with the AWS ecosystem and its analytics tools (e.g., Athena, Redshift, QuickSight); comfort with orchestration tooling, Jira, Confluence, and GitHub-based workflows Experience mentoring less experienced analysts Note: this list spans skills relevant to several facets of the role — we don't expect any given candidate to have all of them. Bring what you have; we'll talk through the rest during the interview process. What You'll Get Become a member of the talented, energized, diverse and purpose-driven Arcadian Community with decades of collective experience in population health, product development, and data science Employee driven programs and initiatives for personal and professional development A flexible, remote-friendly company with personality and heart Competitive Compensation, Amazing Benefits including Unlimited FTO The opportunity to: Be the senior analytic and policy voice on a high-visibility state Medicaid program serving millions of members, at a pivotal moment for the program Build the practice — the methodology standards, playbooks, and data assets a growing team will inherit — on problems where analytic choices directly shape which members get reached and how care is delivered and funded Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, verify it by calling us directly at (781) 202-3600 and selecting option 3. You can find more information at Arcadia Careers. In this role, you are responsible for following all security policies and procedures to protect all PHI under Arcadia's custodianship, as well as Arcadia intellectual property. For security-specific roles, the hiring manager defines any additional responsibilities. Arcadia does not discriminate based on race, color, sex (including pregnancy and related conditions, sexual orientation, or transgender status), national origin, religion, age (40 and older), equal pay, disability or genetic information (including family medical history or genetic tests or services), and retaliation for filing a charge, reasonably opposing discrimination, or participating in a discrimination lawsuit, investigation, or proceeding.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As a Cybersecurity Sales Specialist, you'll own Anthropic's security business across the accounts in one of our business units, such as financial services, healthcare and life sciences, or technology. You'll lead the security strategy with CISOs, partnering with the Account Executives who own the accounts in your industry to drive opportunities and put Claude to work on their hardest security problems. You'll help decide how we sell security, what we learn from customers, and how that shapes our products. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well. Key responsibilities Build and close security business, from the first conversation with a CISO's team through contract and expansion, working with the Account Executive who owns each relationship Create security pipeline with the Account Executives in your industry, from their existing accounts and through outbound to security leaders, events and joint work with partners Lead with the customer's problem: finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely Partner with your Applied AI engineers on discovery, proofs of concept and architecture, and know when to bring them in Guide customers through security reviews, verification for security use cases, and procurement Teach the Account Executives in your business unit to spot and qualify security opportunities Bring what you hear from security teams back to our product, safeguards and marketing teams Minimum qualifications Experience selling or supporting the sale of cybersecurity products or services to enterprise customers Deep experience in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security Ability to hold credible conversations with a CISO, an application security lead and a security engineer about how their work gets done A consultative approach to selling: you understand the problem before you propose anything, and you're honest about what a product can't do A commitment to making AI systems safe and beneficial Preferred qualifications 5 or more years in sales or other customer-facing roles, including 3 or more years selling or supporting cybersecurity products or services for enterprise customers Experience closing complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver Experience as a specialist alongside account teams while carrying your own number, and the ability to say exactly what you did to win the deal Experience building pipeline where there's no playbook yet, through outbound and partners rather than inherited accounts A record of leading through influence, not authority: Account Executives bring you into their accounts because you help them win Experience selling security in one of the industries we cover, and an understanding of how security is bought and regulated there Experience selling AI, developer or data platform products to technical buyers Hands-on experience as a security practitioner or sales engineer before moving into sales 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: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Podcast Media Manager at Anthropic, you will own how Claude shows up in podcasts, one of our most important channels for reaching professionals and knowledge workers. This is not a traditional media buying role. We're looking for someone to build a refreshed, proactive podcast strategy: securing the right shows before they're obvious, going beyond standard ad reads, and creating unique partnerships that fully integrate our product into shows in ways no other brand is doing. In this role, you'll own our podcast program end to end, from annual strategy and show selection through network buys, scripts, pacing, and reporting across 100+ shows. You'll sit on the influencer marketing team and partner closely with growth marketing on performance goals and in-house campaigns, brand marketing on major campaign flights, enterprise marketing on B2B buys and scripts, creative and copy teams on reads and refreshes, comms teams on messaging and media buying teams/agencies on execution. Key responsibilities Own podcast strategy for Anthropic, setting where we show up instead of reacting to inbound pitches Lead podcast strategy flights for major campaigns end to end, from planning through reporting Manage network buys across major audio publishers including Spotify, Amazon, NYT, and others Develop year-long buys with top shows and media outlets, identifying and pitching partners before they come to us Build partnership packages that go beyond ad reads to include bonus episodes, video, live events, and social Partner with creative and copy teams as their main point of contact on podcast work, establishing a repeatable process for scripts and copy points Manage voice-actor reads and QA spots before they air Develop a refresh cadence for reads so messaging stays current across 100+ shows, tailored to each show's audience Manage agency relationships, pushing partners to deliver the best rates, placements, and ideas Track pacing across buys and shift budget as performance data comes in Present results and learnings back to the team on a regular basis Partner with growth, brand, and enterprise marketing to align podcast plans with performance goals, campaign flights, and B2B objectives Minimum qualifications Have deep experience in podcast media buying at a tech or consumer company with a substantial podcast budget Have managed podcast programs in-house directly, not only through an agency Have run both agency partnerships and in-house podcast programs, and know how to get the best work out of each Are skilled at managing and pushing media agencies to secure strong rates, placements, and ideas Can spot up-and-coming shows before they're obvious and back your picks with a clear rationale Bring creative ideas that go beyond the standard ad read, from bonus episodes to live events to product integrations Are comfortable owning the details of execution, including scripts, QA, pacing, and reporting, alongside long-range strategy Work well across many partner teams and can build repeatable processes that scale Enjoy shaping a program from the ground up rather than maintaining an existing playbook Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience negotiating year-long or multi-format partnerships with top shows or networks A background in copywriting or close collaboration with creative teams on host-read scripts Familiarity with B2B audiences and enterprise-focused podcast buys Experience with podcast measurement, attribution, and incrementality testing Relationships with major audio publishers, networks, and independent hosts Experience extending podcast partnerships into video, social, or live formats Familiarity with AI products or the broader developer and knowledge worker audience 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: $200,000 — $255,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Job Description As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics for consumer products from idea to implementation. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. Responsibilities : Understand and whenever possible proactively identify the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company Closely partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products in a fast paced environment Influence the future roadmap of Product teams from a data systems perspective Become an expert in our organization’s data models and the company's data architecture You might be a good fit if you have: 7+ years of experience as an Data Engineer or similar Data Science & Analytics roles, preferably partnering with Product leads to build and report on key company-wide metrics. A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. Expertise in SQL and Python to transform data into accurate, clean data models Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. A bias for action and urgency, not letting perfect be the enemy of the effective. A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. Experience building a Data Engineering (or similar) function at start-ups. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. Experience scaling own productivity and that of others by leveraging AI without sacrificing the quality of deliverables. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 the role You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Key responsibilities Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance Minimum qualifications Experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows Have experience with CRM systems, CPQ tools, and contract management platforms Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications Have 5+ years of relevant experience Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking Experience with deal desk operations at companies with subscription and consumption-based business models Knowledge of enterprise software contract terms and industry-standard commercial practices Understanding of AI business models and the unique commercial considerations Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Head of Digital Natives & Startups, ANZ to build and lead Anthropic's go-to-market motion for digital native businesses and startups across Australia and New Zealand. You will grow a team that wins and expands the region's fastest-moving, AI-forward companies, driving consumption of Claude directly and through our cloud partners. You will set the segment strategy, hire and develop the team, and work closely with Product, Partnerships and Marketing to turn ANZ builders into long-term customers. This is a chance to shape how one of the world's most dynamic startup ecosystems adopts frontier AI, while representing ANZ's priorities to our global leadership. Key responsibilities Define and execute the ANZ go-to-market strategy for Digital Natives and Startups, covering both new customer acquisition and growth within existing accounts Build, hire and lead a high-performing sales team across Australia and New Zealand, with clear targets, regular coaching and defined career paths Own pipeline, forecast and consumption targets for the segment, running a consumption-based sales motion Build a repeatable motion across the customer lifecycle, from early-stage founders to scaled, high-growth digital natives Develop strong relationships across the ANZ startup ecosystem, including founders, venture investors, accelerators and developer communities Partner with cloud providers and our Partnerships team to co-sell and extend our reach in the segment Collaborate with Product, Marketing, Solutions and Customer Success to adapt our offering and messaging for ANZ, and bring customer feedback back to the business Represent ANZ priorities to regional and global leadership, and keep local execution aligned with global strategy Act as an executive sponsor for key customers and communicate Anthropic's trust and safety principles with credibility Minimum qualifications 15+ years of overall experience selling technology products to enterprise organisations across ANZ market 5+ years of people management experience leading sales teams in the digital native and/or startup segment Proven success in consumption-based technology sales, such as cloud, API or usage-based SaaS Experience building a business or team from the ground up in Australia and/or New Zealand Track record across both customer acquisition and account growth Strong network and credibility in the ANZ startup and digital native ecosystem Ability to explain technical products clearly to founders, engineers and executives Preferred qualifications Background at Google, AWS or a similar cloud or SaaS company Experience selling AI, machine learning or developer-focused products Experience co-selling with cloud partners and working with channel Experience hiring and scaling a team through rapid growth Familiarity with the ANZ regulatory and data-privacy landscape Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end. You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in TypeScript and modern React; comfortable in Python for backend work The ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships or co-ops Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Zürich, CH 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 Anthropic's models grow more capable, so does the interest of people who want to attack or misuse them. The Detection and Response (D&R) team spots those threats and responds to incidents across every layer of Anthropic's technology stack. The team is early-stage, so you'll help build our detection and response capabilities from the ground up and work closely with our security and research teams. Key responsibilities Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly Review incident response metrics and procedures, and drive improvements Work across security and engineering teams Take part in an on-call rotation Minimum qualifications Experience handling security incidents and investigating anomalies as part of a team Working knowledge of EDR, SIEM, SOAR, or similar security tooling A solid understanding of cloud environments and operations Experience working with engineering teams in a SaaS environment Proficiency with a scripting language such as Python and query languages such as SQL Strong communication and collaboration skills Able to lead projects with little guidance Able to pick up new languages and technologies quickly Preferred qualifications 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience Security operations or investigations involving large-scale Kubernetes environments Experience analyzing attack behavior and prototyping high-quality detections Experience with threat intelligence, malware analysis, infrastructure as code, or forensics Experience contributing to a high-growth startup environment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Beijing Workplace: OnSite ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This position is Beijing based. TEAM You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising Midcore game in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become. ROLE As a Product Manager for one of our Midcore Studio, you will be at the heart of the game's evolution. You will work closely with a multidisciplinary team of engineers, artists, and product experts to design, test, and refine features that keep our players engaged and entertained. - Develop and iterate on game mechanics and features that enhance the core gameplay loop - Analyze player behavior, game metrics, and feedback to identify opportunities for improvement - Collaborate with engineers and artists to bring level designs and features to life - Structure, run, and monitor A/B tests to validate design decisions and optimize player experience - Balance game difficulty curves to ensure appropriate challenge and retention across all levels - Stay up-to-date with the hybrid-casual and midcore game market, analyzing competitor games and emerging trends - Contribute to the product roadmap and strategic direction - Work iteratively, rapidly prototyping ideas and incorporating feedback from the team and data PROFILE - 4+ years of professional experience in game design, product specialist, product Manager, or similar role in the mobile gaming industry - Strong passion for mobile midcore and hybrid-casual games, with a deep understanding of what makes them engaging and successful - Analytical mindset with the ability to interpret data, identify trends, and make data-driven design decisions - Understanding of player psychology and what drives engagement, retention, and satisfaction in midcore games - Strong communication skills and ability to clearly articulate design ideas to cross-functional teams - Iterative mindset with the ability to rapidly test, learn, and improve designs based on feedback - Fluent in English - Bonus: Experience with Unity or game development tools, knowledge of A/B testing methodologies, experience shipping successful mobile games - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work BENEFITS: - Competitive salary - Benefits according to the country you reside in

Location: Remote - Europe Workplace: Remote P2P.org http://P2P.org is the largest institutional staking provider with a TVL of over $10B and a market share exceeding 20% in restaking. We are continually focused on researching and improving our infrastructure to extract maximum APR while enhancing security. For instance, in ETH and SOL, our NRR is on average 10% higher than the market, and in DOT, it's 20% higher. We also place significant focus and resources on launching new networks such as TON, Avail, Monad, Babylon, Story, Berachain, and others, along with yield products. From restaking, where we are the largest operator with a 20+% market share, to yield aggregators on stablecoins. Our clients include BitGo, Copper, Crypto.com http://Crypto.com, Ledger, ByBit, Bitget, OKX, HTX, Bitvavo, SBI, and others, who choose us for our client-centric approach and extensive product line from unified API to widgets and custom dApps. We are also actively expanding our product line, exploring RWA, data, yield, and service products for banks, exchanges, custodians, and wallets. P2P.org http://P2P.org unites talented individuals globally. Despite our distributed team, we share a passion for decentralized finance - a fairer system for all. We code, learn, create, and connect to shape finance's future. P2P.org http://P2P.org boasts a strong reputation and network. We prioritize customer satisfaction and, as tech enthusiasts, develop innovative solutions that bolster our brand. RESPONSIBILITIES - Turn marketing priorities into plans with clear budgets, timelines and success metrics. - Own execution and personally run campaigns in your strongest channels, using LLMs and automation. - Manage contractors and internal contributors: set priorities, write briefs, review work and address underperformance. - Coordinate with Product and Sales to clarify requirements and resolve blockers. - Track spend, lead quality and pipeline contribution. Recommend what to improve, scale or stop. - Identify where specialist contractors are needed and manage their delivery. REQUIREMENTS - Strong execution skills in at least one marketing channel, with verifiable examples of campaigns you personally ran and results you achieved. We welcome different channel specializations. - At least 4 years of substantive marketing experience, including independently owning B2B marketing initiatives. Be ready to explain your contribution, decisions and measurable results. - Strong communication and stakeholder management skills, including influencing without formal authority and challenging requests constructively. - Experience managing contractors or agencies and leading people or small teams. - Solid marketing fundamentals: tracking, segmentation, positioning, messaging, channel selection and conversion funnels. - Practical analytical skills: interpreting campaign and CRM data, assessing acquisition economics and understanding attribution limitations. - Regular use of LLMs in marketing work, with sound judgment when reviewing their output. - Ability to prioritize and deliver with limited supervision, learn complex products and make informed budget decisions. - Strong written and spoken English. At P2P.org http://P2P.org we have a team of experts with their own unique approach and ownership culture. Together we gain experience and make dreams come true! - Fully remote - Full-time contractor (Indefinite-term Consultancy Agreement) - Competitive salary level in $ (we can also pay in crypto) - Paid vacation and sick leave - Well-being program - Mental Health care program - Compensation for education, including foreign language & professional growth courses - Equipment & co-working reimbursement program - Overseas conferences, community immersion P2P.org http://P2P.org is committed to providing equal opportunities. All applicants will be considered without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, veteran status, or disability.

Location: Dublin, IE 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 growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that bring our work to customers. We’re looking for a Recruiter, GTM to join our Talent team in Dublin and own full-cycle recruiting across our Go-To-Market organization, with a particular focus on Applied AI. This is a full-cycle individual-contributor role. You’ll partner with Applied AI and GTM leaders to define what great looks like, build pipelines in markets where these roles are still new, and close candidates who have competing offers. Some of the roles you’ll run won’t have an established market benchmark, so you’ll help build the playbook as well as follow it. Priorities shift quickly, and you’ll have real ownership of the searches you run. Key responsibilities Own full-cycle recruiting for Applied AI and broader GTM roles across EMEA, with a focus on London, Paris and Munich, from intake through offer and close Run intake sessions that scope the role, calibrate the bar, and challenge hiring managers where expectations don’t match the market Screen candidates against the JD with enough technical judgment to separate strong from merely well-presented Source and engage active and passive candidates, building diverse and competitive pipelines in markets where talent is scarce Run structured, rigorous and candidate-centric interview processes that uphold Anthropic’s hiring bar Work with the broader Talent team, People Partners and Compensation to structure offers and guide candidates to close Own pipeline health, tracking conversion, calibration and time-in-stage, and use the data to give hiring managers clear recommendations Help build and document the Applied AI and GTM hiring playbooks as the team scales Minimum qualifications 4+ years of full-cycle recruiting experience, with a track record of closing strong candidates in competitive markets Demonstrated experience recruiting GTM or customer-facing roles in the UK and European markets, with working knowledge of local talent dynamics, compensation norms and employment practices Strong stakeholder partnership: you build trust quickly with senior hiring managers in fast-moving environments Willingness and ability to build technical depth quickly enough to run credible intake sessions and screens for Applied AI roles Proven ability to maintain quality under volume pressure and manage multiple searches at once Comfort with ambiguity and with building something new rather than running an established playbook Self-starter who works autonomously while staying aligned with global hiring strategy Genuine interest in Anthropic’s mission and an understanding of the role recruiting plays in achieving it Preferred qualifications Experience hiring technical customer-facing talent (Solutions Architects, Forward Deployed Engineers, Sales Engineers, or Applied AI/ML-adjacent roles) at an AI, SaaS or high-growth technology company Experience recruiting across Sales, Partnerships or Marketing in addition to technical GTM roles Experience scoping roles that have no established market benchmark Experience hiring across multiple EMEA markets, including the UK, France and Germany Familiarity with Greenhouse or similar ATS platforms Additional European language skills (French or German especially) 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: €125.000 — €170.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Growth at Anthropic is about helping people discover what Claude can do and make it part of how they work, from someone's first session to an entire company rolling out Claude. We're a small design team working across all of Anthropic's products, on problems that often don't have established playbooks, because the products and the capabilities behind them change so quickly. We drive growth by making the product itself better, favoring foundational changes and new product experiences over small optimizations. Our focus spans whatever most limits Anthropic's growth, and priorities can shift quickly. As a senior Product Designer on Growth, you'll own how Claude grows with people who use it for their everyday work. You'll dig into why some people make Claude a habit and others don't, find the real bottlenecks, and lead the product changes that move them. You'll set the vision for this area, partner closely with product, engineering, and data science, and raise the quality bar for the designers around you. We're looking for designers who thrive in ambiguity and pair sharp diagnostic judgment with exceptional craft. You form a clear point of view from messy signals, prototype quickly to test it, and drive alignment across teams to ship it. You use tools like Claude Code to explore ideas and push what's possible. Key responsibilities Own growth for how people use Claude in their everyday work, end to end, as your full-time focus Diagnose what drives deep, habitual use and what blocks it, combining data, research, and hands-on time in the product Set an opinionated vision for the area and turn it into a roadmap with your PM, engineering, and data science partners Redesign core parts of the product to drive growth, from onboarding and first-run experiences to the everyday workflows people rely on most Shape hypotheses and experiments, and judge results with a nuanced view of how we win, not just the topline metric Deliver exceptionally crafted interactions and set the quality bar for your area Drive alignment with partner teams whose work touches your area, connecting individual use to team and company adoption Mentor other designers, and frame problems clearly enough that others can own them Prototype and test ideas quickly with Claude Code and other AI tools Minimum qualifications A portfolio of shipped product design work that shows product vision and a high level of craft Experience owning growth for a major product area end to end, including diagnosing problems and setting direction Deep growth design experience in activation, onboarding, retention, engagement, or expansion, on a product at meaningful scale Hands-on experience designing, launching, and interpreting experiments, and using them to make product decisions Fluency with product analytics such as funnels, retention, and engagement Proficiency with design, prototyping, and AI tools, such as Figma and Claude Code, and a habit of learning new tools to push what's possible Strong collaboration and communication skills, with experience driving alignment across product, engineering, and data science Preferred qualifications Experience leading growth strategy across multiple teams or product areas Experience designing enterprise/B2B SaaS, productivity, or collaboration tools Experience with product-led growth, from a single user to a team to a company-wide rollout Experience mentoring designers or shaping a design practice Comfort querying data yourself with SQL or a similar tool Experience prototyping with front-end code (e.g., HTML/CSS/JS) Experience defining AI-powered workflows for yourself or your team A clear point of view on when a product should ask for attention, and when it should stay out of the way Passion for building safe, beneficial AI that helps people do their best work Representative projects Diagnose why some people make a product part of their daily work and others drift away, then lead the changes that close the gap Redesign a core part of the product so people return to it more often and get more value each time Set the vision for a product's first-run experience and lead it through experiments to a redesigned, permanent flow Design the path from one person's daily use to their whole team adopting it The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hanoi OR Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are seeking a driven Technical Project Manager with proven problem-solving ability and excellent communication skills. The Lead Technical Project Manager should have wide-ranging experience, rely on their own judgement and discretion to think "outside the box," and resolve a variety of highly complex issues in creative and effective ways. The responsibilities for this role will include: Work on complex issues where analysis of situations, data, dependencies, and stakeholder needs requires in-depth evaluation of variable factors. Exercise judgment in selecting methods, techniques, tools, AI/agent workflows, and evaluation criteria for obtaining results. Own multiple projects and/or multiple programs, using structured project management practices and approved AI/agent tools to improve clarity, efficiency, and follow-through. Network with key contacts outside own area of expertise to understand dependencies, risks, requirements, and implementation constraints. Set cadence, governance, execution standards, and source-of-truth expectations for projects/programs. Coach others, delegate appropriately, and help teams adopt reusable project management practices, templates, and approved AI-enabled workflows. Leverage approved AI/agent tools to enhance project efficiency, including synthesis, status reporting, risk identification, decision tracking, stakeholder communication, and executive-ready summaries. Develop systems, procedures, analytics, and AI-assisted workflows to help management operate more efficiently and effectively. Carry out project management activities, including project planning, resource planning, status reporting, risk and issue tracking, dependency management, and decision follow-up. Define, maintain, and continuously improve analytics for business stakeholders, including dashboards, reporting views, and source-of-truth checks where appropriate. Demonstrate an understanding of technology and technology projects, including how AI/agent capabilities can improve project execution, operational efficiency, and decision-making. What You’ll Bring: 5+ years of technical experience required. Prior experience within a business consulting or project management function is required. Ability to operate independently, be a team lead, supervising a small team of consultants or TPMs. Comfortable working with senior management; willing to offer suggestions and opinions. Proven experience with driving and leading high impact projects. Ability to interpret and translate business needs into actionable practices. Capable of building trust through demonstrated competence and results. Excellent problem-solving ability with strong attention to detail in a fast-paced environment. Motivated by the transformational effects of technology-at-scale. Excellent communication skills in both verbal and written form, strong command of the English language. AI literacy: comfortable leveraging AI-powered tools (e.g., LLMs, copilots, automation frameworks) to enhance productivity and streamline day-to-day workflows. What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.