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Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements. WHAT YOU’LL DO - Full stack development, building models to consume, transform, and expose data to stakeholders and production systems - Drive a culture of experimental design, testing agenda, and best practices - Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way - Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success - Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action WHAT YOU NEED - Minimum of 4 years of industry experience as a Data Scientist - Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries - Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards - Track record of shipping high quality products and features at scale - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions NICE-TO-HAVES - Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents) - Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development) - Experience within the payments and financial technology space - Familiarity with B2B enterprise sales cycle metrics and processes ABOUT OUR TEAMS - Product Data | Ramp’s Product Data team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design. - Risk & Capital Markets Data | Ramp’s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships. - Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

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 Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high-quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities You may be a good fit if you: Have 3+ years in operations, consulting, product management, or program management roles Have exceptional project management skills with ability to handle multiple complex projects simultaneously Have strong communication skills and can engage effectively with technical and non-technical stakeholders Are familiar with how LLMs work or have strong interest in understanding AI training methodologies Are highly organized and can navigate ambiguity effectively Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) Thrive in fast-paced research environments with shifting priorities Are passionate about AI safety and understand the critical importance of high-quality data Strong candidates may also have: Experience with data collection, labeling, or annotation operations for AI/ML systems Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows Background working with research teams at AI companies or research-oriented organizations Experience managing vendor relationships or external contractors Consulting background with experience translating complex requirements into deliverables Track record of implementing process improvements or quality control systems at scale 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: $270,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Cairo Workplace: remote Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5,000 specialists.    The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.   Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.   The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Key Responsibilities: Develop and implement a strategic business development plan to sell Ajax’s newly launched EN54 line for commercial fire applications in Egypt. Identify, evaluate, and onboard new Fire Installers across the region, ensuring coverage in key markets and verticals. Align with Consultants, Architects, Design companies in specifying ajax’s products. Develop and maintain relationships with key clients, partners, and stakeholders. Analyze market data to develop and execute effective sales strategies. Prepare and deliver presentations to potential clients and partners. Negotiate contracts and agreements with clients and partners. Manage and prioritize multiple projects and initiatives simultaneously. Achievement of Sales Targets: Consistently meet or exceed assigned sales targets and key performance indicators (KPIs) on a quarterly and annual basis. Qualifications: 5+ years of experience in fire and life safety or a similar industry in Egypt. Strong technical knowledge of fire alarm certifications, standards, and market requirements. Well connected with top fire alarm Installers, Consultants, Architects and Design companies. Proven track record in leading the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals. Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level. Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions. Ability to manage and prioritize multiple projects and tasks simultaneously. We offer: A truly innovative product that sells itself. Greenfield territory. A zero bullshit culture. A strong and well-coordinated team of professionals. Ambitious tasks and challenges. Being a part of the emerging leadership in the security space. Join Ajax Systems!

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a leader to build and run Vercel's Product Strategy & Operations function from the ground up. This is a senior, cross-functional role that sits at the heart of the EPD organization and works in close partnership with the CPO, EPD Leads, GTM leadership, and Finance. You will own three things above all else: the rigor that makes our high-velocity shipping machine sustainable, the measurement infrastructure that tells us whether our products are succeeding after they launch, and the planning systems that keep our roadmap and revenue plan sharp, funded, and aligned across the company. This is a strategic leadership position for someone who thinks deeply about product markets and business models, builds world-class operating systems, and uses data to drive decisions that matter. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own the EPD rhythm of business: weekly operating reviews, monthly business reviews, planning cycles, and roadmap processes — building minimum viable process for each. Run the ShipOps function to enable Launch Calendar reviews and Vercel’s high velocity “You Can Just Ship Things” approach. Establish a "product landing" framework — a structured post-launch process that goes beyond the ship date to ensure new features and products are actually adopted, drive the intended business outcomes, and generate learnings that feed the next iteration. Partner closely with Sales and Marketing teams to set targets, make plans and execute tactics that drive deal pipeline creation, and user launches and ramps. Develop and maintain competitive intelligence systems that give product leaders a continuously updated view of the market landscape. Partner with Data Engineering and Data Science to ensure the analytical infrastructure (data pipelines, warehouse models, tooling) supports the speed of analysis our business requires. Partner with EPD leads to maintain team health, capacity visibility, and resource allocation so that the right bets are properly staffed and execution risk is surfaced early. What you need 8+ years in product operations, business operations, strategy, or a closely adjacent function inside a high-growth technology company. Ability to understand complex, technical products and articulate their value to non-technical audiences. Deep familiarity with the full software development lifecycle — you understand how EPD teams plan, build, and ship, and have experience improving those processes. Passion for structuring and solving highly ambiguous strategic problems and owning end-to-end execution of solutions. Experience leading complex, cross-functional projects with multiple functional stakeholders. Past experience working at the intersection of product and go-to-market teams in a software company. Strong oral and written communication skills, with a proven ability to work effectively with multiple, cross-functional stakeholders, including users. Bonus if you Background in developer tooling, cloud infrastructure, or platform products — you understand the Vercel customer and can speak credibly about the space. Frequently build your own agents to support workflows and data analyses Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $232,000 - $348,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Belgrade, Serbia Carazo Group is a luxury distribution business operating across 10+ countries. We work with premium brands and build long-term trade partnerships across international markets. As we expand our international reach, we are looking for a B2B Trade Development Specialist to identify and develop new distributor and wholesale relationships across assigned territories. This is a hands-on, individual-contributor role for someone who is genuinely good at prospecting — someone who builds pipelines from scratch, not someone who manages inbound leads. You will work directly with the Head of Sales and report to senior leadership, with real visibility and impact from day one. What you will own: Prospecting & Business Development –     Identify and approach new distributors and wholesalers through digital research, LinkedIn outreach, and cold outreach campaigns –     Build and manage a structured pipeline of qualified prospects using CRM tools –     Convert prospect relationships into active trade partnerships Relationship Management –     Build and maintain strong, trust-based relationships with existing and new trade partners –     Present and promote the premium product portfolio to potential and current clients –     Manage ongoing communication and commercial development of your partner accounts Market Coverage & Reporting –     Monitor territory performance and report on sales activity, pipeline status, and market trends –     Identify market opportunities, competitor activity, and emerging trends within the territory –     Attend international trade fairs and industry events to represent the company and develop leads Internal Collaboration –     Coordinate with marketing, logistics, and compliance teams to ensure smooth partner onboarding and servicing Requirements To be successful in this role, you should have: Minimum 2 years of B2B sales or business development experience, preferably in FMCG, tobacco, or a related trade industry Proven prospecting skills — confident working through LinkedIn, email campaigns, and CRM tools without relying on inbound or a support team Experience building and managing relationships with distributors or wholesalers Strong negotiation and closing skills, with experience handling commercial agreements Comfortable tracking KPIs, pipeline health, and territory performance Fluent English, minimum C1 level (written and verbal) Comfortable working fully on-site in Belgrade Good to haves: Previous international B2B sales experience across multiple countries or regions Willingness to travel occasionally for trade fairs and client visits Knowledge of German or Spanish Experience with premium goods, luxury products, or tobacco What Success Looks Like A growing pipeline of qualified distributor and wholesale prospects from day one New trade partnerships signed and successfully onboarded Consistent CRM hygiene and accurate territory reporting Expanding territory performance over the first 6–12 months This role is not the right fit for you if your experience is exclusively in B2C or retail and you have never sold to distributors, or if you rely on inbound leads, a support team, or a lead generation function to fill your pipeline. Benefits We offer: International Exposure Work with trade partners and stakeholders across multiple countries, with real visibility into how a premium international distribution business operates. Direct Access to Leadership Work closely with the Head of Sales and senior leadership, with your results directly reflected in the company's growth. Compensation Competitive package based on experience and performance based commission. Environment International business exposure across 10+ markets Structured, performance-driven culture Opportunity to shape your territory and grow with the role

Location: United States; United Kingdom; Romania; Poland; Georgia; Spain About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a versatile GTM Engineer to bridge the gap between our technical product capabilities and our ambitious revenue goals. In this role, you will be the architectural backbone of the sales process, ensuring that our technology solves real-world business problems for our customers. You will sit at the intersection of Engineering, Product, and Sales, acting as a technical advisor who can both high-level strategize and deep-dive into code to close complex deals and accelerate market adoption. Key Responsibilities Partner with the Sales team to lead technical discovery, product demonstrations, and proof-of-concept (POC) engagements. Build custom integrations, scripts, and demos that showcase the unique value proposition of the product to prospective clients. Act as the "voice of the customer" for the product team, translating field feedback into actionable product requirements and roadmap items. Develop technical sales collateral, including documentation, best practices guides, and modular code snippets. Troubleshoot and resolve technical hurdles during the pre-sales and onboarding phases to ensure a seamless customer transition. Stay ahead of industry trends and competitor landscapes to position our technology effectively against market alternatives. Requirements Proven experience in a technical, customer-facing role (e.g., Solutions Engineer, Forward Deployed Engineer, or Sales Engineer). Strong proficiency in at least one major programming language (Python, JavaScript, Go, etc.) and comfort working with APIs and databases. Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders. A "builder" mindset with the ability to work independently in a fast-paced, sometimes ambiguous environment. Strong problem-solving skills and the ability to diagnose technical issues on the fly. Track record of supporting high-growth GTM motions and hitting revenue-linked milestones. Experience working in early-stage or venture-backed startups. Deep understanding of cloud infrastructure (AWS, Azure, or GCP). Familiarity with modern GTM tech stacks (Salesforce, HubSpot, or specialized data tools). Contributions to open-source projects or a strong portfolio of technical content creation. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

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. We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks. This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you. Key Responsibilities Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis Work closely with product and design teams to scope, prototype, and ship features for life sciences users Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement Minimum Qualifications Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures) A track record of shipping computational tools or pipelines that biologists actually use Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment Able to work independently while collaborating tightly with research, product, and domain-expert teams Results-oriented with a bias toward rapid iteration and measurable impact Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards Preferred Qualifications 5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.) Experience building agentic systems or tool-use environments Published research in ML for biology, or open-source contributions to computational biology tools Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 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: Los Angeles, United States; New York Workplace: hybrid ABOUT YOU We're looking for an entrepreneurial commercial leader to build Xsolla's brand partnerships business from the ground up. This is not a traditional sales role. We're seeking someone who thrives in ambiguity, enjoys creating new revenue streams, and has experience bringing innovative advertising, commerce, loyalty, identity, and consumer engagement products to market. You will work at the intersection of gaming, commerce, advertising, identity, and consumer engagement to help leading brands connect with millions of gamers through Xsolla's ecosystem. The ideal candidate has experience selling into brands, agencies, loyalty teams, media buyers, retail marketers, and commerce organizations. They understand how to translate product capabilities into compelling business outcomes and are comfortable helping define both go-to-market strategy and product direction. This role will be responsible for establishing Xsolla's brand-side commercial motion, identifying early lighthouse customers, developing strategic partnerships, and helping shape the next generation of Xsolla advertising and consumer products. If you're excited about building a new business rather than inheriting one, we'd love to hear from you.   ABOUT US Xsolla is a global commerce company with robust tools and services designed to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help fund, distribute, market, and monetize their games. Today, Xsolla powers commerce, payments, rewards, advertising, loyalty, identity, and engagement experiences for game developers worldwide. As we expand our consumer platform capabilities, we see a significant opportunity to help brands engage gaming audiences through meaningful value exchange, loyalty, rewards, identity, and commerce experiences.   Responsibilities: Build Xsolla's Brand Commercial Business Develop and execute Xsolla's brand-side commercial strategy. Establish and scale a repeatable sales motion for brand partnerships. Identify, prioritize, and close early lighthouse partnerships. Build relationships with brands, agencies, loyalty platforms, retailers, and financial services companies. Create scalable partnership frameworks that can grow into a global business. Own Brand, Agency, Loyalty, and Consumer Partnerships Serve as Xsolla's commercial leader for non-gaming and non-performance marketing demand partnerships. Build relationships across brand marketing, media, CRM, loyalty, growth, and innovation teams. Develop partnerships that drive value across Xsolla's advertising, rewards, identity, and commerce ecosystem. Establish Xsolla as a strategic platform for brands seeking meaningful engagement with gaming audiences. Influence Product Direction Act as the voice of the market for products including:Xsolla AdsXsolla RewardsXsolla IDXsolla BackpackXsolla ChoiceFuture audience, loyalty, and advertising products Gather customer feedback and influence product roadmaps. Help define packaging, positioning, pricing, and commercial models. Partner with Product and Marketing teams to bring new solutions from concept to market. Develop New Revenue Streams Identify opportunities for:Sponsored rewardsBrand-funded offersLoyalty integrationsAudience targeting solutionsIdentity-powered marketing productsCommerce and retail partnerships Build business cases and commercial frameworks for new products and services. Establish Measurement & Attribution Standards Partner with Product, Data, and Marketing teams to define measurement frameworks for brand partners. Develop brand lift, incrementality, attribution, engagement, and conversion methodologies that demonstrate partner value. Help shape how Xsolla measures and communicates success for emerging brand-focused products. Collaborate Across Xsolla Partner closely with:Global Business DevelopmentProduct ManagementMarketingAdsRewardsIdentityCommerceExecutive Leadership Support strategic customer conversations and executive-level business development initiatives. Qualifications & Skills: 8+ years of experience in business development, partnerships, advertising sales, brand partnerships, retail media, commerce partnerships, or related commercial leadership roles. Proven experience selling to Fortune 1000 brands, agencies, loyalty programs, retail media networks, or consumer marketing organizations. Demonstrated success building a new business line, category, market, or commercial function from 0→1. Track record of structuring and closing complex strategic partnerships. Strong understanding of digital advertising, loyalty, identity, commerce, audience targeting, and measurement ecosystems. Experience bringing emerging products to market and influencing product strategy. Deep understanding of attribution, incrementality, brand lift, and marketing effectiveness measurement. Exceptional communication, negotiation, and executive presentation skills. Ability to operate independently in highly entrepreneurial and ambiguous environments. Nice to Have: Existing senior relationships across major brands, agencies, loyalty platforms, retail media networks, or consumer technology companies. Experience working within gaming, adtech, martech, fintech, loyalty, retail media, or commerce technology. Experience launching new advertising, loyalty, audience, or identity products. Familiarity with first-party data, customer identity, rewards, and personalization platforms. Experience building and scaling commercial teams and partnership organizations. What Success Looks Like (First 12 Months): Establish Xsolla's first dedicated brand partnership pipeline. Secure flagship brand, agency, and loyalty partnerships. Create repeatable positioning and commercial packaging for Xsolla's consumer-facing products. Influence the roadmap of next-generation advertising, identity, rewards, and commerce offerings. Develop measurable attribution and brand effectiveness frameworks for partners. Build the foundation for a scalable brand-side revenue organization. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Director, Brand Partnerships, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model. As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user. This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work. Key responsibilities Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage Partner with computer-use researchers Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows Instrument products and use usage data to drive prioritization and measure progress Translate fuzzy user pain points into concrete, shippable features for knowledge workers Minimum qualifications Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company Strong full-stack engineering skills, including production web frontend and backend development Hands-on experience building with LLM APIs, prompting, or agent frameworks A track record of shipping to external users and iterating based on their feedback Preferred qualifications Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer Experience with browser automation, desktop automation, or robotic process automation systems Experience building evals or quality harnesses for machine learning systems Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics Experience designing agent loops, tool integrations, or guardrails for LLM-based systems Representative projects Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 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: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key responsibilities Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company Minimum qualifications Expertise in Python, SQL, and data visualization tools. A bias for action and urgency, not letting perfect be the enemy of the effective. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. A deep curiosity and energy for pulling the thread on hard questions. Experience in turning open questions and data into concise and insightful analysis. Highly effective written communication and presentation skills. A passion for the company's mission of building helpful, honest, and harmless AI. Preferred qualifications 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context. 3+ years of experience deeply embedding in Product teams. Experience working on safety, anti-abuse, integrity shaped problems. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Ciudad de México, Mexico Workplace: on-site The Marketing Manager will be responsible for developing and executing both offline and online marketing strategies to drive brand awareness, customer acquisition, and business growth. This role requires a highly creative and analytical professional capable of operating in a fast-paced startup environment Key Responsibilities Develop and execute marketing campaigns across online and offline channels. Manage digital marketing initiatives including paid media, social media, SEO, and CRM campaigns. Coordinate branding and merchant marketing activities. Analyze campaign performance and optimize acquisition strategies. Collaborate with Sales and Operations teams to support business growth. Manage relationships with agencies and marketing vendors. Support customer retention and engagement initiatives. Monitor market trends and competitor activity. Develop marketing KPIs and reporting dashboards. Bachelor’s degree in Marketing, Communications, Business, or related field. 5+ years of marketing experience. 2+ years of management experience Experience in startups, financial services, retail, or consumer-focused industries preferred. Strong understanding of digital marketing channels and analytics. Creative and data-driven mindset. Advanced English

Location: New York Workplace: hybrid ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. 🙋What You Should Have   ·       At least 4+ years of prior Account management experience. ·       Previous crypto/blockchain experience a big plus but not necessary. Perhaps you enjoy this in your spare time? Even better! ·       Previous compliance/finance experience also a big plus. ·       Proven sales track record.  ·       Exceptionally strong relationship and people management capabilities. ·       A creative problem solver, results driven and self-motivated. ·       Possesses a resilient personality, proactive and reacts well under pressure. ·       Ability to handle changing requirements and unforeseen issues as they arise,  rapidly and positively in a timely manner. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science. 💥 What You Will Do ·       Be the primary point of contact and build long-term relationships with clients.  ·       Client champion within Merkle Science who will work closely with the product team to advocate for key requirements of customers and identify new opportunities. ·       Develop a trusted advisor relationship with key accounts, client stakeholders and executive sponsors. ·       Ensure the timely and successful delivery of our solutions according to customer needs and objectives. ·       Communicate clearly the progress of monthly/quarterly initiatives to internal and external stakeholders. ·       Forecast and track key account metrics. ·       Update job knowledge by participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations. ·       Enhance department and organization's reputation by accepting ownership for accomplishing new and different requests. ·       Responsible for keeping current clients satisfied and delivering exceptional client service on a day-to-day basis. ·       Monitor and analyze client’s usage of our product in order to be proactive if utilization drops. ·       Responsible for working with the Sales team to onboard and integrate new clients and developing existing client relationships. ·       Responsible for product adoption and in turn, client retention. ·       Liaise between the client and internal teams to advocate on the clients’ behalf.

Location: United Kingdom About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a high-energy, strategic Business Development Representative to join a fast-growing team at the forefront of the Tech and SaaS landscape. In this role, you will be the engine of our sales pipeline, identifying high-potential B2B prospects and initiating the conversations that drive our expansion. This is an opportunity for a proactive communicator to master the art of modern sales within a dynamic, tech-forward environment while setting the stage for a long-term career in SaaS sales. Key Responsibilities Conduct high-volume outbound prospecting through a multi-channel approach, including cold calling, personalized emailing, and LinkedIn networking. Identify and qualify key decision-makers within target B2B accounts to build a robust sales pipeline. Articulate a clear and compelling value proposition to pique interest and schedule discovery calls for Account Executives. Maintain meticulous records of lead activity and interactions within the CRM to ensure accurate forecasting and follow-up. Collaborate closely with Marketing and Sales leadership to refine messaging and optimize outreach strategies based on market feedback. Requirements Proven experience in a Business Development or Sales role specifically within the B2B SaaS or Technology sectors. Strong understanding of modern sales tech stacks and CRM management. Exceptional verbal and written communication skills with the ability to navigate complex organizations. A resilient, self-motivated mindset with a consistent track record of meeting or exceeding performance quotas. Ability to quickly learn technical product features and translate them into business solutions for prospects. Experience using advanced sales engagement tools (e.g., Outreach, Salesloft, or Gong). Demonstrated success in a remote or hybrid sales environment. A strong professional presence on LinkedIn and experience with social selling. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Washington DC Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE As our first Federal Partner Alliances Lead for the US, you will own the systems integrator and consulting partner ecosystem across the US Federal market. This is a high-leverage, senior individual contributor role where you will build and drive our federal partner strategy from the ground up — focused primarily on establishing deep, revenue-generating relationships with the major Federal Systems Integrators (FSIs) and a curated set of specialized boutique partners. You are an operator at heart who loves the ambiguity of a fast-growing startup. You understand how developer tools and enterprise AI stacks fit together within the unique compliance and regulatory requirements of the federal space, and you have a track record of driving sourced and influenced revenue through partner channels without needing a heavy management playbook to guide you. This role sits within our GTM organization and will work closely with our field sellers, customer engineering teams, and product leaders to embed LangChain into the delivery practices and solution portfolios of the partners who win and execute the biggest federal AI programs. WHAT YOU'LL DO - Own FSI Relationships: Build and lead LangChain's strategic partnerships with the major federal primes — including Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, Accenture Federal, and similar large-scale integrators. Drive structured engagement across their AI/ML practices, solution architects, and business development teams to embed LangChain into active and upcoming program pursuits. - Develop Boutique and Specialized Partners: Identify and activate a curated set of smaller, mission-focused federal consultancies and AI-native partners that are embedded in specific agency relationships or cleared environments where the primes don't reach. - Build Joint Go-to-Market Motions: Work with FSI partners to co-develop solution offerings, reference architectures, and proposal language that positions LangChain as the preferred agentic AI framework for federal program delivery. - Drive Pipeline Through Partners: Own the partner-sourced and partner-influenced pipeline, working hand-in-hand with LangChain's field sales team to ensure FSI relationships translate into real opportunities and closed revenue. - Support Hyperscaler Relationships Selectively: Maintain a lightweight working relationship with AWS GovCloud, Azure Government, and GCP Public Sector teams, primarily to support event sponsorships, joint visibility opportunities, and marketplace presence — without making this a primary focus of the role. - Execute Co-Marketing Motions: Partner with marketing to show up effectively at key federal industry events (AFCEA, AWS Summit DC, industry days) and develop technical content and co-branded materials that reinforce LangChain's credibility with FSI and agency audiences. - Build the Playbook: Create the operational blueprint for how LangChain scales federal partnerships — from initial relationship mapping and partner tiering to joint pipeline tracking and executive engagement cadences. WHAT YOU'LL BRING - Experience: 6+ years of experience in federal partner management, business development, or alliance roles, with a strong track record of building and monetizing relationships with major FSIs and federal primes. Direct experience working within or alongside Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, or similar organizations is a significant plus. - FSI Network: A genuine, pre-existing network within the business development, AI/ML practice, and solutions architecture communities at the major federal primes. You should be able to get meetings quickly and have credibility with the people who shape program pursuit decisions. - Technical Foundation: Enough technical fluency to speak credibly with enterprise architects and engineering leads in federal environments. You don't need to write code, but you must understand how LLMs, agentic frameworks, and developer tooling operate within federal infrastructure, including FedRAMP, IL4/IL5, and zero-trust requirements. - Startup Agility: Proven ability to navigate a high-growth environment with limited structure. You are comfortable building the playbook as you run it, executing independently with minimal supervision in the often long-cycle federal sales environment. - Operational Rigor: Strong pipeline management skills. You track partner activity with clean CRM hygiene, maintain accurate opportunity attribution, and communicate clearly and consistently to internal stakeholders. - Strong Communication & Influence: Equally comfortable writing sharp internal strategy docs as you are presenting to senior BD and practice leaders at major federal integrators. NICE TO HAVE'S - Active security clearance (Secret or higher) or existing clearance eligibility. - Prior experience at an open-source, developer tools, or infrastructure software company bringing a new technology into the federal FSI ecosystem. - Familiarity with federal procurement vehicles (GSA Schedule, OTAs, BPAs) and how primes use them to structure program delivery. - Familiarity with the modern LLM orchestration stack, federal data environments, and compliance frameworks (FedRAMP, NIST, CMMC). Annual Salary Range: $190,000 to 270,000 + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. 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: £195,000 — £245,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Belgrade, Serbia Workplace: remote NovaKid is a global leader in online English education for children aged 4–12, serving 100000+ students across 50+ countries. We are looking for a Senior Growth Product Manager who is also an entrepreneur at heart, someone who can reinvigorate funnels while simultaneously prototyping and launching entirely new product experiences. We don’t just want someone to manage a roadmap; we want a "Growth CEO" who can reinvent the high-stakes journey from initial sign-up to the first "Aha!" moment and the first purchase. Your goal is to own the most critical window of the customer lifecycle: a potential customer experiencing our product for the first time and the subsequent choice to purchase a subscription. This includes the journey to the trial, the trial experience, the payment windows, the product mix, pricing and CRM control. We are looking for a candidate who applies CRO principles not just for incremental gains, but to prototype entirely new ways for parents to discover, experience, and purchase our services. What you’ll do Prototype, test and implement new funnel approaches. You won't just "tweak" the journey from a customer becoming a lead to making a purchase; you will review all flows to eliminate friction and shorten the time-to-value. You will expertly translate data to identify "leaks" in the funnel and turn those insights into high-impact product features. Design and test trial experiences and product mixes that deliver consistent “Aha moments” to more customers leading to significant sales boosts. You will own the conversion engine from sign-up to the completion of the trial. Activation journeys aren’t just about conversion. You will drive revenue by matching users with the right subscription tiers and value propositions. You will maximise upsell opportunities and ensure customers are matched with the optimal products to not only positively affect ARPU, but also boost LTV. Partner with diverse teams (Marketing, CRM, Operations) to align acquisition strategies with the highest-converting customer journeys. What you’ll have 5+ years of Product Management experience with a heavy focus on Growth, Activation, and CRO . You should have innate commercial intuition with a proven track record of successful product design. You possess elite skills in performance tracking and product analytics. You don't guess; you are able to dig into, manipulate, and present data to prove your prototypes work. Experience in managing international consumer products; you know how to adapt and reinvent funnels for diverse global markets. Manage the Agile process with our engineering team, ensuring that prototypes are delivered and scaled with technical excellence. You thrive in a 100% remote, distributed team environment and are a master of tools like JIRA and Slack. Excellent spoken and written English. What we  offer Fully remote work (core hours GMT+3). A chance to shape the future of AI-driven education. A fun, dynamic team that loves building innovative products.Unlimited holidays – because we trust you to deliver. Bonuses and stock options – we grow together.

Location: United States POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode Technologies is a leader in identity verification, offering innovative, AI-driven solutions tailored to diverse industry needs — from financial services to social media and marketplaces. Our platform is designed to maximize user conversion while minimizing fraud, through a multi-layered approach that includes proprietary AI, deepfake detection, and efficient user re-engagement tools. With close to 99% accuracy in facial recognition tied directly to official document issuance systems, and enterprise partnerships with Citibank, HSBC, Amazon, and Chime, Incode stands apart. With over $250M raised from General Atlantic and SoftBank, we're driving the future of digital trust — and we need a builder-minded Total Rewards leader who can design world-class reward programs from the ground up and own every detail of their execution. The Impact You'll Make Incode's Total Rewards function is at an inflection point. Over the past year we moved from a stock-option-only program to a new equity framework that blends time-based options with performance RSUs tied to ARR milestones, launched equity plans in new jurisdictions, expanded our market data, and scoped a job-architecture and leveling project ahead of the next compensation cycle. What we have not had is a single leader who owns all of it end to end. As Vice President, Total Rewards, you will own compensation, equity, benefits and rewards operations for Incoders across the US, LATAM and EMEA. You'll be the executive the CEO, the Board and the leadership team turn to on pay decisions — from a Regional VP's offer in Mexico City to board member grants — and you'll build the governance, systems and team that make those decisions consistent, data-backed and fast. This is a build-and-run role. You set the strategy — and you roll up your sleeves during the comp cycle. What You'll Own & Drive Rewards Strategy & Governance — Define and steward Incode's compensation philosophy, market positioning and pay mix by region. Build the approval matrix, offer guidelines and exception process so decisions are consistent and quick. Serve as authorized signatory for promotions, salary increases, compensation adjustments and bonus confirmations. Job Architecture & Leveling — Lead the job-architecture and leveling project with our external compensation advisors and People Partners, and land it before the next compensation cycle: job families, levels, salary structures and career frameworks, with the metrics that show it worked. Compensation Cycles — Run the annual compensation and performance-linked increase cycle end to end with Finance and People Partners: budget by organization, band updates, manager recommendation frameworks, calibration support, letters and communications. Design and administer bonus and MBO plans with Finance. Equity — Own the equity program: new-hire, promotion, refresh and performance grants; the options-to-RSU framework and vesting design; board and advisor grants; and coordination with Finance, Legal and outside counsel on board resolutions, 409A valuations, the cap table and international plan compliance. Lead equity education for managers and employees. Executive & Offer Compensation — Partner with the CEO, CBOO and Talent Acquisition on executive and GM packages (base and variable mix, equity structure, sign-on and clawback terms), and support the Board's compensation committee on executive pay and benchmarking. Global Benefits — Set the benefits strategy by region with an impact-versus-cost lens; manage brokers, renewals and leave policies across countries so that what we offer in Mexico City, Belgrade and San Francisco each feels like Incode. Sales Compensation Partnership — Partner with Finance and Revenue Operations on sales and customer-success variable plan design, quota-setting methodology, pay mix and payout governance, bringing market data and plan-design discipline. M&A Integration — Lead rewards harmonization for acquisitions, including equity plan assumption, leveling alignment and benefits integration. Tooling & AI — Build an AI-enabled Total Rewards function: market benchmarking, pay-equity monitoring, comp-cycle operations and compensation communication, with clear guardrails on data privacy, accuracy and where human judgment stays non-negotiable. Own the TR tool stack and market data sources. Team — Lead and grow the Total Rewards team. Raise the bar on rigor, turnaround and documentation so that today's ad-hoc requests become repeatable processes. The Qualities That Set You Apart You build and you run — You're comfortable owning the day-to-day with a lean team while building the structure that lets it scale. You speak finance — You build the models yourself, understand burn and dilution, and earn credibility with the CFO and the Board. You bring executive presence — and pace — You work with a CEO who moves fast. You make clear recommendations, protect internal equity, and know when to flex. You operate at every altitude — Board grants in the morning, a Regional VP's offer in Mexico City in the afternoon. The shift energizes you rather than frustrates you. You're AI-forward — You use AI tools in your own work and have a point of view on where they belong in Total Rewards. Your Background Experience — 12+ years in compensation and total rewards, including 4+ years leading the function for a complex, multi-country employer such as a large technology or professional-services firm, with hands-on ownership of compensation cycles, equity programs and benefits. You have run the function with rigor at scale and want to build it at a company of Incode's stage. Equity expertise — Deep expertise in options and RSUs, refresh and performance-grant design, 409A and cap-table coordination, board grants and international equity plans. You have led an options-to-RSU transition or a comparable program change. Global compensation — Experience across the US and at least one of LATAM or EMEA. Mexico experience and Spanish are strong advantages. Certification — CCP, GRP or CEP certification is a plus. Nice to Have Prior experience at an identity verification, cybersecurity, KYC/AML, or data company. Consulting background in total rewards or executive compensation. Why Incode? Be part of a mission-driven company at the intersection of AI, identity, and trust. Work alongside a world-class team backed by General Atlantic and SoftBank. Shape the future of how people — and companies — verify identity at global scale. Competitive compensation, equity participation, and benefits. A culture that rewards ownership, speed, and intellectual curiosity. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Account Manager for Japan, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Japanese enterprise market. You will work at the intersection of cutting-edge technology and Japan's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies. As a Partner Account Manager, you will focus on growing reseller business in Japan and achieving quarterly revenue targets through new customers and upsells. The position involves direct collaboration with partners and internal teams to overcome obstacles and implement growth strategies. Responsibilities include designing partner recruitment, enablement, and go-to-market plans, using a test-and-learn approach in ambiguous situations. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth. This role is critical to establishing and expanding our presence in Japan through the partner ecosystem, enabling us to serve Japanese enterprises at scale. You will be instrumental in building our channel strategy from the ground up in one of the world's most sophisticated technology markets. Key responsibilities Strategic Partner Management Develop and execute comprehensive business plans with System Integrators (NTT Data, Fujitsu, NEC, Hitachi, etc.) and key resellers to drive mutual growth and revenue targets Build and maintain executive-level relationships within Japanese partner organizations, navigating complex organizational structures and decision-making processes Own the full partner lifecycle from initial engagement through long-term strategic alignment, including regular business reviews and QBRs Plan and deliver partner-facing activities, such as training sessions, email campaigns, webinars, and joint events Negotiate and structure partnership agreements including technical integration terms, resale agreements, and revenue-sharing models Business Development & Revenue Generation Build and maintain relationships with reseller and distributor partners to drive new customer acquisition and upsell revenue Collaborate with SI partners and resellers to identify, qualify, and close enterprise opportunities in key verticals (manufacturing, financial services, retail, telecommunications, life sciences) Drive joint sales activities including customer workshops, seminars, proof-of-concepts, and strategic account planning Track pipeline development, forecast revenue, and report on partnership performance metrics with detailed accuracy Manage channel conflict and ensure healthy ecosystem dynamics between direct sales, SI partners, and resellers Enablement & Solution Development Lead comprehensive enablement programs including technical training, certification development, and sales methodology alignment Work closely with partner practices to develop joint solutions and industry-specific offerings tailored to Japanese market requirements Coordinate with global product and engineering teams to ensure Japanese partner requirements and customer feedback influence our roadmap Develop and maintain Japanese-language sales tools, technical documentation, and partner portals Facilitate knowledge transfer between Anthropic and Japanese partner technical teams Go-to-Market Leadership Design and execute joint marketing campaigns Develop customer success stories and case studies that resonate with Japanese enterprise buyers Partner with internal teams to localize global GTM strategies for the Japanese market Represent the company at partner events, customer engagements, and industry conferences (CEATEC, Japan IT Week, etc.) Identify and remove bottlenecks proactively by working with internal teams including Marketing, Sales, and Legal Foster alignment across departments to ensure successful partner execution and performance Minimum qualifications Experience in channel management, strategic alliances, or business development within the Japanese technology market Proven track record managing relationships with Japanese System Integrators and/or technology resellers or similar Deep understanding of Japanese enterprise sales cycles, decision-making processes, and business etiquette Native or business-level Japanese and English language skills Strong understanding of the Japanese IT landscape including cloud adoption trends, digital transformation initiatives, and regulatory requirements Demonstrated ability to navigate complex partner ecosystems and manage channel conflict Preferred qualifications 7+ years of relevant experience Experience with enterprise software, cloud services, or AI/ML technologies in the Japanese market Exceptional relationship-building skills with ability to establish trust and credibility with executives Strong analytical skills with experience in business planning, forecasting, and performance measurement 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.