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Location: New Delhi WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: This is a highly unique opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data across multiple global markets, while owning the full lifecycle of a signal, forming a hypothesis about what market behavior predicts, engineering it into a feature, validating it with data, and shipping it into a production research platform. This is a research-focused data science role with meaningful hands-on coding and implementing signals within our internal framework. Key responsibilities include: Research and engineer features from raw, high-frequency market data, translating market behavior hypotheses into quantitative signals. Implement signals within our internal simulation/backtesting framework, iterating between exploratory data analysis and framework-based implementation. Validate features through backtesting across historical data, checking behavior across different markets, regimes, and edge cases (e.g., market open/close, low-liquidity periods). Collaborate with research and engineering teams to align on implementation approaches, validation standards, and research decisions. Explore new and existing data sources to identify candidate signals worth developing further. Becoming a domain expert on different deep learning and machine learning applications for high frequency data, analyzing & understanding the underlying dynamics, market microstructure and behaviors within the data. Develop insights based on the data and collaborate with the research team to generate tradable Developing the utility tools that can further automate the software development, testing and deployment workflow. What You’ll Bring: Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field. Strong data science background, with experience turning noisy, real-world data into validated, well-behaved signals or models. Rigorous quantitative programming skills, with the discipline to write accurate, production-quality, and performance aware code, including low-latency implementations where needed. Prior experience with C++ is a plus. Working knowledge of financial markets and how trading/market data behaves, or strong aptitude to learn it quickly. Prior market microstructure knowledge and experience with dark pools, trading and exchange data is a plus. Practical experience with and theoretical understanding of deep neural networks and other machine learning techniques in high frequency domain is a plus. Comfortably making pragmatic modeling tradeoffs under ambiguity while clearly articulating the reasoning behind them with data. Exceptional analytical & problem-solving abilities, with a strong attention to detail. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

About the Role As a Customer Success Manager at Abnormal AI, you will serve as the primary liaison between customers and internal teams, focusing on successful onboarding, adoption, and ongoing value delivery. You will build and nurture strong customer relationships, align on business goals, and drive measurable outcomes through best practice adoption and strategic planning. You will proactively identify opportunities and risks to help customers maximize their investment and contribute valuable feedback for product improvements. Your role involves collaboration with cross-functional teams and maintaining customer satisfaction and retention. Who you are - Skilled at building trust and maintaining relationships with stakeholders at various organizational levels, including executives - Action-oriented, analytical, and collaborative in approach to customer success and issue resolution - Dedicated to delivering measurable customer value and ensuring satisfaction throughout the customer lifecycle - Strong verbal and written communication skills, comfortable handling both strategic discussions and technical conversations - Solid technical understanding of SaaS products, including internet technologies, networking, and email security solutions - Proven track record of driving product adoption and supporting long-term customer growth What you will do - Act as the main point of contact for assigned customers, developing strategic relationships and guiding platform adoption and success planning - Deliver regular business reviews (QBRs/EBRs), clearly communicating ROI and aligning on success metrics to support retention and expansion - Understand customers’ industries, goals, and challenges to provide tailored recommendations and align internal and external stakeholders on success objectives - Promote awareness and usage of key platform features, provide ongoing education, and identify opportunities for expanded adoption - Proactively monitor customer health, manage escalations, and collaborate with Product, Engineering, Support, and Sales teams to resolve issues and share actionable insights - Maintain expert knowledge of the product roadmap and communicate relevant updates and enhancements to customers - Coordinate with internal teams to develop and execute customer success plans, addressing risks before they impact engagement or satisfaction Must Haves - 5+ years of experience in enterprise SaaS, with at least 3+ years in Customer Success, TAM, or support roles - Proven ability to manage large customer portfolios and develop long-term relationships, including at the executive level - Excellent communication, presentation, and organizational skills, capable of managing both strategic and technical conversations effectively - Strong problem-solving skills and experience resolving escalations while maintaining a positive customer experience - Proficiency with CRM and case management tools such as Salesforce and Jira - Technical proficiency related to internet technologies, networking, and email security products - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking an experienced Executive Escalations Manager to be a founding member of a new pillar of our Operations organization: Community & Executive Escalations. This role is the front line of how Anthropic protects its reputation when high-stakes user issues surface through executive channels. You'll help stand up the function from scratch and operate it day-to-day. You'll be the person building the playbooks and escalation criteria, triaging incoming escalations, and running them to resolution alongside cross-functional partners. The ideal candidate combines calm-under-fire judgment with sharp written communication and a bias toward action. Responsibilities: Build the team's playbooks, escalation criteria, tooling solutions, and SOPs to successfully manage escalations coming from Anthropic’s executive team Own executive escalations end-to-end during your coverage hours Communicate crisply with internal stakeholders: brief executives on live situations, give Comms partners the facts they need, and keep incident channels useful and current Write clear post-escalation reports that capture what happened, what we did, and what should change—so the next escalation is easier than the last Lead a recurring escalations insights forum: identify patterns across escalations and drive the resulting product and policy changes with partner teams You may be a good fit if you have: 6+ years of experience in escalation management, trust & safety operations, customer support, or a related front-line operations role—ideally at a consumer or developer platform. Direct, hands-on experience running incidents or escalations: you've been the person investigating the issue, coordinating R&R with XFN partners, and writing executive comms. Sharp written communication—you can brief a senior leader in three sentences and document an incident so the next responder can pick it up cold Excellent judgment under pressure Comfort coordinating across functions in real time and influencing partners without positional authority A pattern-detection mindset—you spot the second-order issue beneath the first-order complaint and surface it to the right people Comfort with ambiguity and a bias toward action; this team is brand new and you'll be helping define what good looks like as you operate Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher 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: $210,000 — $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About 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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. About the Role: We're looking for a Partnerships Manager to help extend Anthropic's health work into US public health. Building on our existing global health portfolio, you'll help shape how we engage the US public health system and manage a set of partnerships across federal, state, and local levels. Because this is an emerging area for the team, the role blends partnership management with meaningful contribution to strategy. The right person combines credibility in the US public health ecosystem, enough technical fluency to be a real thought partner on AI deployment, and comfort operating in a space that's still taking shape. This role is distinct from our Account Executive function: while AEs drive scaled adoption of Anthropic's core products, Partnership Managers build deep partnerships that require custom deployments, research collaboration, and hands-on program design. You'll work with a smaller portfolio of flagship partners where the goal is driving impact metrics and creating learnings that benefit the broader ecosystem. Responsibilities: Contribute to Anthropic's US public health strategy, working closely with the team lead to identify priority partners and use cases and bringing field insights back to inform our broader health work Own a portfolio of flagship deployments, coordinating with Applied AI, product, policy, and GTM teams to deliver impact Source, evaluate, and onboard new partners; structure engagements that work within government procurement, data governance, and privacy constraints Translate partner needs into deployment plans that account for legacy systems and workforce realities Support the creation of shared resources and digital public goods that help the broader field use AI responsibly Build the evidence base by partnering with academic and evaluation organizations to study what works Represent Anthropic at public health convenings and with funders and policymakers Help shape team processes as we grow this area; hand off opportunities better suited to scaled sales or public sector motions Travel to partner sites and to SF headquarters every ~6 weeks for those based outside SF (~20% travel) You Might Be a Good Fit If You Have: 10+ years of experience in US public health, health policy, or public sector health innovation 5+ years managing external partnerships, multi-stakeholder initiatives, or programs that span government and civil society Deep relationships and credibility in the US public health ecosystem — you know the key players at CDC, state health departments, major schools of public health, and the foundations that fund this work A working understanding of how federal, state, and local public health agencies operate, fund programs, and adopt new technology Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams Experience building programs or portfolios in early-stage environments where the playbook is still being written High agency and comfort with ambiguity; you thrive when the playbook doesn't exist yet A genuine drive to strengthen the public health system and the communities it serves An MPH or related credential Strong Candidates May Also Have: Experience inside a federal or state health agency (CDC, HHS, a state DOH) or at an organization that works closely with them Background in epidemiology, ideally with hands-on surveillance experience at a state, local, or federal health agency Experience working in a global context Experience at a healthtech company, AI organization, or in a product-adjacent role 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: $215,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Sydney ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY   As a AI Deployment Strategist, you will bridge the gap between vision and execution, ensuring our customers not only see the potential of AI but realize its value in their operations. This role is a unique blend of strategic advisory and hands-on deployment leadership, spanning both presales and postsales phases. You will act as a trusted advisor to C-suite executives, architecting AI solutions that drive transformation and delivering measurable business outcomes.   You will be embedded in our most strategic accounts, diagnosing business challenges, designing AI-powered solutions, and leading their deployment from concept to full-scale adoption. This role demands a rare combination of executive presence, technical credibility, and commercial acumen, with a focus on both winning and delivering high-impact AI initiatives.   WHAT YOU WILL DO   Strategic Advisory & C-Suite Partnership • Serve as the lead strategic advisor for a portfolio of high-value enterprise clients, building trusted relationships with executive leadership (CEO, CTO, CIO). • Lead C-suite workshops to diagnose business drivers and co-create multi-year AI transformation roadmaps aligned with corporate strategy. • Develop and present compelling business cases and proposals, articulating the ROI of AI adoption and the value of Mistral’s platform.   Presales: Shaping the Vision • Partner with sales and product teams to identify and qualify opportunities, positioning Mistral’s solutions as the catalyst for enterprise transformation. • Design tailored AI strategies and proof-of-concepts that address critical business challenges and demonstrate tangible value. • Act as a subject matter expert in client engagements, ensuring our solutions are understood, trusted, and adopted.   Postsales: Driving Deployment & Adoption • Own the end-to-end success of AI deployments, from strategic planning to operational integration, ensuring solutions are embedded into the customer’s core workflows. • Lead cross-functional teams of engineers, data scientists, and product managers to execute deployment roadmaps and deliver measurable results. • Navigate organizational complexity and drive change management to ensure seamless adoption and long-term success.   Commercial Growth & Thought Leadership • Identify and cultivate expansion opportunities within accounts, connecting Mistral’s capabilities to new business challenges and driving commercial growth. • Mentor junior strategists and contribute to the development of best practices, methodologies, and playbooks for customer engagement. • Represent Mistral AI as a thought leader through speaking engagements, executive briefings, and industry contributions.     ABOUT YOU   • You have 8+ years of experience in technical management consulting, enterprise technology, or a customer-facing strategic role, with a focus on AI/ML, data architecture, or digital transformation. • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You possess a deep, practical expertise in AI/ML concepts, enterprise data architecture, and modern software development with hands-on development of AI solutions—enough to credibly engage with technical teams and executives alike. • You have a proven track record of engaging and influencing C-suite executives, with the ability to navigate complex conversations and align AI strategies with business objectives. • You excel at structuring ambiguous problems into actionable programs and thrive in fast-paced, high-stakes environments. • You are equally comfortable in presales and postsales: shaping deals, designing solutions, and ensuring their successful deployment. • You have experience managing high-value accounts, understanding deal mechanics, and building compelling cases for investment. • You are a collaborative leader who can motivate cross-functional teams and drive results through influence, not authority. • You are open to frequent travel as the role demands   We are looking for adaptable, low-ego team players who are passionate about turning AI vision into reality and delivering transformative impact for our customers.     HIRING PROCESS   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you: 7-10+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely 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: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Spain Workplace: Remote ClickHouse is on a mission to grow a vibrant global user community and accelerate our journey as a cloud first company. We’re looking for a seasoned Account Executive to help expand our customer base and shape the future of ClickHouse adoption in the region. Our ideal candidate brings both business acumen and technical depth, capable of guiding customers with specialized expertise to help them achieve their objectives and unlock the full value of ClickHouse. WHAT YOU’LL BE DOING - Identify and nurture opportunities, build pipeline, and close short term Cloud monthly contracts, while simultaneously developing a strategic Enterprise business with complex sales cycles. - Evangelize ClickHouse’s vision and solutions to secure strategic commercial commitments. - Take a solution-based approach to selling, delivering clear business value for customers. - Champion the innovation behind ClickHouse Cloud, driving awareness and adoption. - Manage customer details, including use cases, timelines, and forecasting, within Salesforce. - Deliver accurate monthly business forecasts. - Contribute to the ClickHouse ecosystem by engaging in local developer meetups and helping organize ClickHouse specific community events. WHAT YOU BRING - Proven ability to manage cross functional resources — from dedicated teams to executive staff, to drive successful outcomes. - Expertise aligning cloud solutions with customer business needs, challenges, and technical requirements. - 7+ of experience in open source software business models preferred; strong background in cloud and infrastructure software required. - Passion for building long-lasting customer relationships and working cross-functionally in a diverse, global team. - Excellent communication, negotiation, and presentation skills, with strong business and technical acumen. BONUS POINTS FOR - Entrepreneurial mindset with a proven record of delivering results in fast moving environments. - Experience working effectively in a remote-first, global organization. - Prior success selling databases or deploying applications with major cloud providers. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Los Angeles, California Workplace: OnSite Who We Are X-LAB is the in-house performance bicycle line by XDS, which has quietly become the world’s largest and most vertically integrated bicycle manufacturer and the largest maker of carbon fiber frames, supplying many of the top brands in cycling and mobility. Today, XDS is quiet no more. XDS launched X-LAB in April 2026 as the global consumer brand to take the industry by storm. Three decades of experience building exceptional bicycles have culminated into a unique line of road, gravel, electric, city, hybrid, and soon mountain bikes that riders and shops can’t stop talking about. X-LAB is the new inflection point for the category. We launched in April 2026 with a full lineup across road, gravel, city, fitness, e-bike, and soon mountain categories, with validation from the highest and most demanding levels of the sport through the XDS Astana Team and a rapidly growing network of dealers. Our ambition is not simply to sell more bikes. It is to make great bikes more integrated, more accessible, and better supported through the independent shops and communities that grow cycling and bring in new riders. That is what makes this moment exciting. Joining X-LAB means shaping a company with unmatched production scale, real engineering R&D depth, and the confidence to earn trust… one rider, one dealer, one product, and one market at a time. Are you ready to ride ahead of the pack? Learn more at https://xds.co/https://xlabbikes.com See an insider’s look of our factory: Youtube Video https://www.youtube.com/watch?v=06SheO5XFsY _____________________________________________________ About the role X-LAB is seeking a customer-focused and technically minded Customer Service Agent to join our growing Support team. You’ll be a primary point of contact for riders and dealers, helping resolve questions about X-LAB bicycles, parts and accessories, warranties, orders,, and services. This role combines customer service with technical troubleshooting across email, phone, and live chat. You will work closely with our Warranty, Warehouse, Product, Engineering, and Support teams to resolve customer issues and communicate recurring product feedback. This position follows a Saturday-through-Wednesday hybrid schedule, with Thursdays and Fridays off. What You’ll Do - Provide professional customer and dealer support through Zendesk, phone, and website live chat. - Assist with product questions, bicycle setup, technical troubleshooting, warranty inquiries, orders, returns, replacement parts, and product registration. - Conduct inbound and outbound technical support calls with customers and dealers. - Diagnose mechanical, electronic, and product-related issues using approved troubleshooting procedures. - Collect relevant information, photos, videos, serial numbers, and troubleshooting results needed to evaluate support and warranty cases. - Escalate technical, warranty, safety, and product-quality concerns to the appropriate internal teams while maintaining ownership of customer communication. - Accurately document customer interactions, troubleshooting steps, decisions, and resolutions in Zendesk. - Identify recurring product issues and report customer feedback to Product, Engineering, Warranty, and After-Sales teams. - Contribute to Support Center articles, FAQs, troubleshooting guides, templates, and internal knowledge resources. - Meet established service-level expectations, including first-response and resolution targets. - Provide dependable weekend coverage during the assigned Saturday through Wednesday and occasional holiday schedule. You’re a Great Fit With: - 2+ years of experience in customer service, technical support, or a related customer-facing role. - Excellent written and verbal communication skills with strong troubleshooting and problem-solving abilities. - Experience using Zendesk or other customer support platforms. - Being able to work in a Saturday - Wednesday schedule (hybrid) - Strong experience handling customer conversations over email, live chat, and phone. You’re a Spectacular Fit With: - Previous experience working in the bicycle industry, bike retail, or technical bicycle support. - Passion for cycling with strong knowledge of bicycle components, assembly, maintenance, and troubleshooting. - Experience supporting e-bikes, electronic shifting systems, or bicycle warranty programs. Success Metrics - Achieving a 2-hour first-response rate of 90% or higher during business hours. - Achieving a 48-hour resolution rate of 90% or higher for standard customer inquiries and support cases. - Maintaining strong Customer Satisfaction scores through professional, accurate, and empathetic support. - Accurately documenting customer interactions, troubleshooting findings, and resolutions in Zendesk. - Escalating urgent technical, safety, warranty, and product-quality issues promptly. - Identifying recurring product trends and providing actionable feedback to internal teams. - Contributing to continuous improvements in support documentation, troubleshooting processes, and the X-LAB Support Center. _____________________________________________________   Our Compensation and Benefits - Competitive hourly pay - Generous time off policy - Hybrid-remote work with recurring visits to our office space in beautiful Santa Monica, California Equal Opportunity XDS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ We are looking for an experienced Partner Sales Manager, Mid-Enterprise to drive partner-led growth across Docker’s Mid-Enterprise business. The primary focus of this role will be generating pipeline for Docker’s AI Governance solution. Working closely with Docker’s Mid-Enterprise sales organization and priority channel partners, you will develop scalable sales plays, activate joint campaigns, and advance partner-sourced and partner-influenced opportunities from identification through close. You will own a partner revenue target focused on pipeline and ARR, transforming successful partner engagements into repeatable programs that expand market coverage and scale across sellers, partners, and regions.     RESPONSIBILITIES Partner Strategy & Execution - Develop and execute a Mid-Enterprise partner plan aligned with Docker’s go-to-market strategy and revenue goals. - Prioritize the partners, markets, and use cases with the greatest potential to generate pipeline at scale. - Build strong relationships with priority resellers, solution providers, and distributors. - Establish clear operating cadences covering joint planning, pipeline, forecasting, enablement, and performance. Scalable Partner-Led Growth - Create repeatable partner sales plays that drive account engagement and qualified pipeline. - Lead account mapping and prioritization with partners and Docker sales teams. - Activate joint campaigns, events, workshops, and outbound programs with Partner Marketing and Demand Generation. - Build the playbooks, messaging, training, and engagement workflows required for consistent execution. - Measure and refine programs based on adoption, conversion, pipeline contribution, and revenue. Pipeline & Co-Sell Execution - Own partner-sourced and partner-influenced pipeline generation and ARR. - Connect partners with Docker sellers and drive joint opportunities through qualification, progression, and close. - Maintain regular pipeline and forecast reviews with priority partners and sales leadership. - Identify risks, remove blockers, and implement actions that improve conversion and deal velocity. - Ensure partner activity is connected to measurable commercial outcomes. AI Governance & Solution Positioning - Enable partners to position Docker as trusted infrastructure for secure and governed AI-assisted software development. - Translate Docker’s AI governance strategy into practical customer use cases and repeatable partner conversations. - Identify segments and opportunities where AI adoption, governance, or software supply-chain security create customer urgency. - Partner with Product Marketing and technical teams to develop sales plays, workshops, and enablement assets. Cross-Functional Collaboration - Partner closely with Sales, Marketing, Solutions Engineering, Customer Success, and Revenue Operations. - Align direct sellers and partners around target accounts, opportunities, and clear rules of engagement. - Increase field adoption by making partner programs simple, relevant, and valuable to sellers. - Bring partner and market feedback into Docker’s go-to-market planning. QUALIFICATIONS - 10+ years of enterprise sales, channel sales, alliances, or partner management experience in B2B technology. - Proven success generating pipeline and revenue through resellers, solution providers, VARs, or distributors. - Experience building scalable partner sales plays and joint demand-generation programs. - Strong pipeline management, forecasting, account-mapping, and co-sell experience. - Track record of aligning direct sellers and partners around shared revenue goals. - Experience in developer tools, DevOps, cloud infrastructure, cybersecurity, or AI technology is preferred. - Bachelor’s degree or equivalent professional experience. SKILLS & COMPETENCIES - Outcome-driven, with a strong focus on pipeline, revenue, and customer growth. - Able to turn successful partner engagements into repeatable, scalable programs. - Commercially rigorous and comfortable owning targets, forecasts, and performance reviews. - Strong field operator who can earn seller trust and move opportunities forward. - Skilled cross-functional collaborator across sales, marketing, technical teams, and partners. - Clear communicator who can translate Docker’s platform and AI governance strategy into customer value. - Data-driven and able to focus investment on the partners and programs producing the strongest results. KEY PERFORMANCE INDICATORS - Partner-sourced and partner-influenced pipeline and ARR - Pipeline coverage and forecast accuracy - Adoption and performance of repeatable partner plays - Active pipeline-generating partners - Seller participation in partner programs - Opportunity conversion, win rate, and deal velocity WHAT TO EXPECT First 30 Days – Orientation & Foundation - Complete onboarding across Docker’s sales motions, tools, and processes - Learn Docker’s partner model and key partner segments (distributors, resellers, VARs, cloud marketplaces) - Build relationships with internal stakeholders and priority regional partners - Develop a high-level regional reseller strategy and engagement plan First 60 Days – Partner Cadence & Planning - Establish structured engagement and joint planning with top partners - Align on partner performance metrics, pipeline expectations, and enablement priorities - Collaborate with Marketing on a regional partner demand-generation plan - Align pipeline development strategies with regional sales leadership First 90 Days – Execution & Momentum - Launch initial joint sales and marketing initiatives with reseller partners - Drive partner enablement and define clear co-sell and deal engagement workflows - Begin tracking early performance indicators for partner-sourced and partner-influenced pipeline ONE-YEAR OUTLOOK - Build durable, high-value relationships with strategic and regional reseller partners - Drive measurable growth in partner-sourced pipeline, net new ARR, and renewals - Expand Docker’s regional coverage and market penetration through partner-led GTM - Continuously refine the reseller engagement model based on performance, feedback, and market trends Docker does not offer visa sponsorship for this role.   Compensation & Equity United States: $175K – $250K OTE + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Mexico City SOLUTIONS ARCHITECT | LATAM Our Solutions Architecture team connects business priorities with practical technical solutions, helping customers understand how Chainalysis can support their most important objectives. In this role, you will provide technical leadership throughout the customer journey. You will turn complex requirements into clear recommendations, help customers envision how our products fit into their operating environment, and guide them toward measurable business outcomes. As a Solutions Architect, you'll develop a deep understanding of Chainalysis solutions and the problems our customers are trying to solve. You'll explain complex concepts in a clear, compelling way to technical practitioners, business leaders, and executive stakeholders. You'll also build practical, customer-specific solutions that support deployment, integration, adoption, and long-term value. In this role, you'll: - Serve as a core member of the account team, partnering closely with Sales, Services, Customer Success, Product, and Engineering. - Take ownership of customer outcomes across the full lifecycle, from initial discovery and solution design through investigation support, compliance program delivery, deployment, enablement, adoption, and expansion. - Lead discovery conversations that uncover customer objectives, operational pain points, use cases, technical constraints, and success criteria. - Translate business and operational needs into clear technical requirements, solution designs, and implementation paths. - Articulate Chainalysis capabilities in a way that is relevant to each customer's compliance, risk, fraud, investigations, or security environment. - Create tailored demonstrations, proof-of-value experiences, and technical narratives that show how Chainalysis can address customer priorities. - Conduct blockchain investigations, deliver compliance and regulatory guidance, and build technical solutions such as notebooks, dashboards, automation workflows, data integrations, reference architectures, and agentic workflows. - Develop AI-assisted workflows that accelerate and automate investigations, analysis, and customer processes, adapted to each customer's operating model, data, controls, and risk framework. - Design automation that fits into existing compliance, risk, fraud, investigations, or security operations rather than requiring customers to redesign how they work. - Help customers access and operationalize Chainalysis data through APIs, integrations, and fit-for-purpose technical patterns. - Provide guidance on solution architecture, API implementation, workflow design, data movement, and integration considerations. - Drive platform adoption by connecting customer workflows to Chainalysis capabilities and identifying new use cases. - Identify creative, responsible approaches to difficult customer problems, while balancing speed, scalability, security, maintainability, and measurable impact. - Build trust through sound technical judgment, clear communication, reliable execution, and a strong understanding of the customer's business. - Assemble the technical evidence base, including outcome data, consumption metrics, adoption analysis, and expansion signals, that supports quarterly impact reporting and renewal conversations. - Build customer capability and self-sufficiency rather than creating ongoing dependence on the Solutions Architecture team. - Own the feedback loop between customers and Product/Engineering, translating field insights and feature requirements into product improvements and bringing those improvements back to customers. - Act as a trusted advisor to customers, meeting them at their current level of crypto-maturity and partnering with them to advance their understanding, processes, and outcomes. - Represent Chainalysis at customer meetings, industry events, and conferences. - Contribute to the wider Solutions Architecture team through reusable assets, knowledge sharing, internal initiatives, and better ways of working. We're looking for candidates who have: - Several years of experience in one or more relevant areas, such as financial services, compliance, investigations, fraud, cybersecurity, digital assets, transaction monitoring, sales engineering, solutions architecture, or enterprise product management. - Experience making complex technical or operational concepts understandable to different audiences. - Strong storytelling, presentation, and written communication skills, with the ability to engage both technical teams and executive stakeholders. - A creative, structured, and investigative approach to solving challenging customer problems. - Comfort working with technical tools and learning new technologies quickly. Experience with Python or another programming language, SQL, data analysis, notebooks, workflow automation, APIs, integrations, or AI tools is valuable. - The curiosity and initiative to develop technical depth over time; you do not need to arrive with a complete technical stack, but you should enjoy investigating how things work and building the skills to solve new problems. - The ability to operate effectively when requirements are ambiguous, information is incomplete, or the best path forward has not yet been defined. - A collaborative, generous approach to working with others, including a willingness to share knowledge, seek input, and improve team practices. - A demonstrated focus on measurable customer outcomes, not simply technical activity or product usage. - An interest in blockchain and a desire to keep building your understanding of the technology, the market, and the customers we serve. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent. Responsibilities: Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently Have implemented A/B testing frameworks and experimentation infrastructure for ML systems Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may also have experience with: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Working with large language models and modern transformer architectures Developing monitoring and alerting systems for ML model performance and data drift Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques and compliance requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services sit on the token generation path across every platform Claude runs on: every request must pass through them, and each millisecond of added latency is wait time for our users. You’ll keep p99 latency flat as traffic grows, build for robustness as dependencies time out or partially fail, and ship changes safely to a system that cannot go down. What you'll do: Design, build, and operate the backend systems that process every token on the generation path for Claude requests, including the streaming contract with the API and inference engines. Own latency and reliability end to end: define and maintain SLOs and error budgets for added latency, time-to-first-token, and availability, and lead incident response and postmortem follow-through. Ship changes to the hot path rapidly but safely — canaried and gradual rollouts, error budget and latency gating, fast rollbacks — and drive per-token performance: chase tail latency and keep cost flat as traffic, models, and checks per request grow. Set technical direction for the sampling path: lead design reviews, make latency, reliability, and cost trade-off calls with the inference and research teams, mentor engineers, and raise the operational bar for the wider Safeguards organization. You may be a good fit if you: Have designed, built, and operated high QPS systems at global scale, and were accountable for them in production: incident response, outages, and postmortem-driven remediation. Have a strong foundation in distributed systems: replication, consistency tradeoffs, failure modes, and SLO management under load. Design systems for graceful degradation: you plan for a slow dependency, a dropped stream, or a half-rolled-out deploy before it happens, and build so the system degrades predictably instead of failing. Have successfully shipped broad or all-encompassing changes to mission critical systems (e.g., database migrations, interface changes, rewrites). Strong candidates may also have: 8+ years of industry software engineering experience. Familiarity with LLM inference systems and transformer-based models (not required, but a plus). The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Almaty, Kazakhstan; San Francisco Bay Area, USA Workplace: OnSite Why work at Higgsfield AI? Higgsfield AI https://higgsfield.ai is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. WHY THIS ROLE EXISTS A very large share of Higgsfield’s capital goes into compute. GPU procurement, deal economics, the financial planning around it — today that entire function effectively sits on one person’s desk. We’re not hiring someone to explain the business to the board. We’re hiring someone to drive $100M+ strategic deals end to end: find them, model them, negotiate them, close them, and own what happens after. The financial work matters because it’s how you win a deal and how you know it was worth winning — not because someone needs a deck. This is the largest line in our cost base and the surface area is enormous, so you’re in company-level decisions from week one. What the role demands is energy and complete ownership. Nobody hands you a process, a pipeline or a mandate here. You take them. WHAT YOU’LL DO Own GPU and compute economics - Engage and maintain relationships post-deal close, leading delivery of strategic, co-owned initiatives (e.g., co-marketing, case studies, presence at events/conferences, etc. - Become one of the most knowledgeable people in the world on the GPU and AI-compute market: pricing, supply, contract structures, who is building what and at what cost. Through research, and through showing up in person. - Source, structure and negotiate compute and infrastructure agreements — capacity commitments, long-term supply, colocation, energy-linked deals. - Build the cost models that say whether a deal is good, and challenge the ones that say it is. Build and challenge the financial picture - Build and stress-test P&L and FP&A models at company level. - Own forecasting for the largest line in our cost base. - Work directly with the CEO and the co-founders on the development strategy and financial planning. Shape major strategic deals - Model the economics of large partnerships and identify where the value actually sits. - Translate commercial decisions into a financial story leadership, the board and investors can act on. REQUIREMENTS - McKinsey / BCG / Bain-type background, or equivalent depth from corporate finance, investment banking, infrastructure PE, or a strategic-finance role at a fast-scaling company. Consulting alumni at Engagement Manager / Principal level and above. - You can build a three-statement model, an FP&A forecast and a deal case yourself — and find the error in someone else’s. - You understand the economics of large strategic deals: capacity, offtake, TCO, capex versus opex, contract structure. - At least 3 years working in international markets — at a global company, or in a role where you owned deals or operations across multiple countries. - Able to become a genuine domain expert fast, from a standing start, on something technical. - Heavy international travel. The GPU market is a relationship market and it does not happen online. - Fluent English and Russian. Nice to have - A technical or quantitative undergraduate degree — engineering, physics, applied maths, CS — underneath the commercial track. - Procurement, supply-chain or capacity-planning exposure at real scale. - Time at a cloud, GPU, data centre, semiconductor or energy company, including on the commercial side. - You’ve already made the jump from consulting or banking into an operating role at a startup. COMING FROM THE COMPUTE SIDE INSTEAD? If you’ve bought or sold GPU capacity at a cloud, neocloud, data centre or hardware company and you can hold your own on the numbers, this is your role too. We care that you know the market and can move a deal, not which chair you sat in while you learned it.   WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, and other office benefits. Location: Almaty or San Francisco (onsite), with heavy international travel and regular trips to the other hub. Our team works from the office six days per week. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams. Also hiring: GM, International Partnerships — same seniority, focused on enterprise B2B partnerships and commercial execution across verticals. If your background is commercial rather than analytical, apply there https://jobs.ashbyhq.com/higgsfieldai/a89ac4c2-176b-44c0-9192-f6c16d786ea7 instead.

Location: Almaty, Kazakhstan; San Francisco Bay Area, USA Workplace: OnSite Why work at Higgsfield AI? Higgsfield AI https://higgsfield.aiis the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. WHY THIS ROLE EXISTS Higgsfield has grown roughly 35x in the last twelve months. 390 of the Fortune 500 are already on the product, and the adoption patterns look like nothing that came before — teams find us, adopt us and expand without anyone selling to them. That’s what an AI-native product does, and it’s how the company is built: small teams, no inherited process, decisions made in hours rather than quarters. The opportunity now is to take that industry by industry. Advertising. Entertainment. Gaming. Retail. E-commerce. Each one is a category where a single person can go in, land the anchor accounts and own the vertical outright. We’re hiring hunters for that. Not account managers working inbound — people who pick a vertical, build the target list themselves, and take it. WHAT YOU’LL DO Own global B2B partnerships - Drive the full partnership lifecycle end to end — sourcing, pitching, structuring, negotiating and closing deals with international partners. - Build and scale the partnerships pipeline across key markets. You own the target list, not just the deals handed to you. - This role travels: partners, in their market, in person. Lead commercial execution - Own revenue targets and deliver against multi-million-dollar goals. - Structure complex deals, paid pilots and multi-year strategic agreements. - Restart stalled deals because you decided to, not because a process told you to. Shape strategy and go-to-market - Identify high-value use cases with partners and translate Higgsfield’s capabilities into outcomes they can defend inside their own organisation. - Design partnership models, pricing structures and GTM approaches from scratch. - Switch verticals fast — a media holding this month, a consumer brand the next, a platform after that. Own accounts and grow them - Build durable relationships at C-level with founders, operators and decision-makers. - Drive expansion, upsell and new revenue streams inside existing accounts. - Carry the full commercial picture: what a deal books and what it costs us to serve. REQUIREMENTS: - 7+ years in enterprise sales, business development or partnerships, closing complex multi-million-dollar deals you personally sourced and negotiated. - At least 3 years working in international markets — at a global company, or in a role where you owned deals or operations across multiple countries. - Experience at a company that scaled aggressively, where daily progress was expected and intensity was normal. - You hold both sides of the business in your head. You can say what a partnership earns and what it costs to deliver in the same sentence. - Comfortable with almost no structure. You’ll get context and access, not process. - Heavy international travel. - Fluent English and Russian. Nice to have - Sold into enterprise media, advertising, entertainment or consumer brands. - Ran a P&L, a market or a vertical as a GM or country lead. - Broke into an international agency or global commercial organisation as a non-native speaker. WHAT WE WEIGH OVER BRAND NAMES We optimise for intensity and ownership. Three deals you actually built beats a decorated CV of roles you inherited, and a thin LinkedIn profile is not a problem here — several of our strongest people have one. If your best work isn’t visible online, tell us about it in your application. WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, and other office benefits. Location: Almaty or San Francisco (onsite), with heavy international travel and regular trips to the other hub. Our team works from the office six days per week. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams. Also hiring: GM, Strategic Partnerships — same seniority, focused on GPU and compute economics, financial planning and investor-facing strategy. If your background leans consulting or corporate finance, or you come from the cloud and compute world, apply there https://jobs.ashbyhq.com/higgsfieldai/00807c29-404b-4267-9089-40f031bfc6d1 instead.

Location: New York Workplace: Hybrid ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION   This role is Hybrid - New York.   ROLE   Morpho's largest enterprise partners are live integrations with significant untapped growth potential. This role embeds inside a flagship partner organization, builds relationships from PMs to executives, and inserts Morpho into the partner's product roadmap. Success is measured on revenue and active loans generated by the account.   RESPONSIBILITIES     - Own relationship management for a flagship enterprise partner, building relationships with PMs, executives, and teams across the organization to grow the account and protect it from churn       - Run a recurring meeting cadence with the partner's product teams, including quarterly reviews with executives, to align objectives and keep joint priorities moving       - Make the commercial and product case to PMs that integrating loans grows their revenue, improves their product, and benefits their users, so Morpho earns a place on their roadmap       - Track product data to identify growth levers, such as rolling products out to new jurisdictions or running activation campaigns, and turn them into quantified expansion plays       - Map the incentives of the different players inside the partner organization and use that understanding to unlock decisions       - Spend consistent in-person time with the partner's teams in New York so relationships run deep across the organization, not through a single contact     WHAT SUCCESS LOOKS LIKE   FIRST 30 DAYS   Fully onboarded on a flagship account: you understand the current integration, its performance data, and the history of the relationship, and you have mapped the organization, its decision makers, and their incentives. You have met the key PMs in person and established yourself as Morpho's primary point of contact.   FIRST 3 MONTHS   You have drafted a full account strategy with the CEO: growth thesis, expansion opportunities across existing and new products, blockers, and a 12-month roadmap. A recurring cadence is running with the partner's product teams, and you have identified 2-3 quantified expansion plays and begun pitching them to the relevant PMs.   FIRST 6 MONTHS   Morpho features on the partner's product roadmap, with at least one expansion play committed or shipped and measurable growth in revenue and active loans against your starting baseline. Executive relationships are established, quarterly reviews run as standard cadence, and you are trusted internally as the voice of the account.   MUST HAVE SKILLS & EXPERIENCE     - Experience navigating and selling into large organizations, for example through a top-tier consulting background or an enterprise-facing operating role       - Strong relationship builder across levels, from PMs to executives       - Product-minded: able to insert yourself into a roadmap and argue the commercial and product case for integrating loans       - Data-driven: comfortable tracking product metrics and spotting expansion opportunities like new jurisdictions or activation campaigns       - Crypto native: credible in front of PMs at major crypto and fintech platforms       - Comfort operating in fast-changing, ambiguous contexts       - Strong ownership and autonomy: doesn't wait to be told       - Clear and crisp async communication       - Team-first mindset, low ego PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: San Francisco, CA; Washington, D.C. Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Own the end-to-end partnership strategy for Sierra’s US, Canada, and UK Government & SLED ecosystem, identifying, prioritizing, recruiting, and structuring the systems integrator, reseller, distributor, and strategic alliances that will most accelerate Sierra’s growth and expand our public-sector reach. - Build and lead joint go-to-market strategies with key partners, developing compelling joint value propositions, identifying priority accounts and use cases, and aligning sales motions, pipeline goals, and shared success metrics to drive measurable commercial outcomes. - Build a scalable partner program and enablement engine from the ground up, including training, certification paths, sales plays, field-facing materials, commercial frameworks, and onboarding programs that give partners the tools and confidence to effectively position, sell, and deliver Sierra. - Own and grow strategic partner relationships from initial engagement through long-term success, cultivating executive-level sponsorship while establishing the operating rhythms, joint planning, business reviews, governance, and scorecards needed to keep partnerships accountable, productive, and scaling over time. - Serve as the connective tissue between Sierra and the broader public-sector partner ecosystem, partnering closely with Sales, Marketing, Product, and Legal; bringing market intelligence and partner feedback back into Sierra; representing the company at key industry and procurement events; and using pipeline and performance data to determine where to invest, course-correct, or evolve our partnership strategy. WHAT YOU'LL BRING - 10+ years of experience in strategic partnerships, alliances, or channel strategy, with significant experience across US, Canada, and/or UK Government and SLED markets and a proven track record of building and scaling partner programs that drive engagement and pipeline. - Strong relationships across the government technology ecosystem, including resellers, systems integrators, distributors, and strategic partners such as Carahsoft, Deloitte, Accenture Federal Services, or comparable public-sector organizations. - Deep understanding of government procurement and public-sector requirements, including RFPs/RFIs, cooperative purchasing vehicles, GSA schedules, CCS/G-Cloud frameworks, Canadian procurement vehicles, and relevant compliance, security, and accessibility requirements. - Strong executive presence and relationship-building skills, with a demonstrated ability to earn senior-level trust and sponsorship while developing GTM frameworks, enablement programs, and operating cadences that scale partnerships. - AI fluency and a builder mindset, with experience leveraging AI-powered tools and insights in day-to-day work and applying that knowledge to partnerships around an AI-native product like Sierra, along with the ability to travel across the US, Canada, and UK as needed. EVEN BETTER... - Experience working at or partnering closely with government-focused organizations such as Carahsoft, Deloitte, or Accenture Federal, ideally within a high-growth enterprise company where you helped build and scale a public-sector partner ecosystem. - Experience structuring and growing strategic partnerships, including negotiating commercial terms, developing co-sell and governance frameworks, and driving joint GTM initiatives, customer events, executive engagement, and partner marketing programs. - Knowledge of the government technology landscape, ideally including CX/customer service technology, AI/ML applications and public-sector AI policy/procurement trends, with an existing security clearance or eligibility to obtain one where applicable. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Moscow, Russia; St. Petersburg, Russia; Yerevan, Armenia; Tbilisi, Georgia; Astana, Kazakhstan; Almaty, Kazakhstan Workplace: remote At NOVACARD , we’re redefining how people use credit. We are the first interest-free and no-annual-fee credit card in Mexico, designed to simplify personal finances and give users complete control – all from a mobile app. With NOVACARD, users can access up to $200,000 MXN in credit, only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals. About the Role We are looking for a QA Automation Engineer to own the quality of key user scenarios across the stack. In this role, you will do more than write autotests — you will build a reliable automation system that covers everything from a customer action in the Flutter mobile app to data validation in APIs, message queues, and databases. You will work closely with developers, analysts, DevOps, and other QA engineers to ensure delivery speed and reliability of financial services. We expect an engineer who sees risks in a microservices architecture and prevents them with well-designed automated coverage. The role is fully remote, with occasional business trips if required. Key Responsibilities Develop, maintain, and evolve UI autotests for the Flutter mobile application (Android/iOS) using Python and Appium. Design the automation framework architecture: implement and maintain Page Object patterns, business step layers, fixtures, and environment configurations. Work with Flutter app locators: use Semantics labels and accessibility IDs, and align their implementation with mobile developers to improve test stability. Ensure autotest suite stability: diagnose and eliminate flaky tests, manage waits, and configure test isolation. Configure and maintain Allure reporting: steps, attachments such as screenshots, logs, and traffic, run history analysis, and linking autotests to test cases. Integrate autotests into CI/CD using GitLab CI: run pipelines, set up parallel runs on emulators and real devices, and maintain acceptable execution time. Analyze new functionality, participate in requirements review, and create test designs. Perform functional, integration, regression, and end-to-end testing. Test external and internal integrations, including SOAP/REST APIs, XML/JSON processing, authorization, contracts, and service interaction errors. Analyze asynchronous processes: message queues and event buses such as Kafka and RabbitMQ, consumers, retries, idempotency, and delayed effects. Identify cross-team dependencies during task definition and align them with related teams before development and testing begin. Estimate testing and automation effort, maintain and expand the regression test suite. Analyze run results, report risks, defects, and blockers in a timely manner, and prepare clear quality reporting. Automate test data preparation: use SQL scripts, internal service APIs, emulation of external system states, and mocks. Work confidently with databases: write medium-complexity SQL queries with joins and aggregations, validate data after user operations in MS SQL Server and/or PostgreSQL, and access databases from autotest code. Investigate logs and metrics in monitoring systems such as Kibana, OpenSearch, and Grafana, and trace requests across services using correlation or trace IDs. Diagnose autotest failures: identify root causes using device logs, traffic, and service logs, and file defects in the tracking system. Key Requirements 2+ years of experience in mobile UI test automation. 5+ years of experience testing microservice-based applications. 2+ years of experience testing external integrations. Strong Python skills: OOP, working with libraries, reading and refactoring code, writing utilities and helpers. Hands-on experience with pytest: fixtures, parametrization, markers, conftest, and plugins. Practical experience with Appium. Experience automating Flutter applications or readiness to quickly learn Flutter-specific automation. Knowledge of Git and experience integrating autotests into CI/CD. Experience in functional testing of Android and iOS mobile applications. Excellent knowledge of testing theory and test-design techniques. Strong understanding of SOAP/REST API testing, XML/JSON, HTTP response codes, contract schemas, session-based and token-based authentication; experience automating API calls in Python using requests or similar libraries. Confident SQL skills: ability to independently write medium-complexity queries, read database schemas, and validate data in MS SQL Server and/or PostgreSQL. Understanding of asynchronous service communication: Kafka, RabbitMQ, or similar brokers, consumers, idempotency, retry mechanisms, and delayed event processing. Experience with logging and monitoring systems such as Kibana, OpenSearch, Grafana, or similar tools. Ability to independently prepare test data using SQL scripts, internal or service APIs, and emulation of external system states. Fluent Russian and English at B1+ level, sufficient for technical documentation and an international team. Experience developing in Dart or reading Flutter app code to understand widget structure and add Semantics keys. Nice to Have Experience with device farms such as BrowserStack, Sauce Labs, or local device farms, Appium Grid, and parallel execution on device pools. Experience developing in Dart or reading Flutter app code to understand widget structure and add Semantics keys Experience with Charles, Fiddler, Swagger, Postman, and SOAP UI, including proxying and mocking responses on devices. Experience automating the API layer as a separate suite, as well as basic Postman automation and running collections via Newman. Experience with visual testing and screenshot-based tests. Experience in fintech or banking products: card processing, credit products, tariffs, fees, limits, card statuses, and card lifecycle management. Experience testing BPMS processes and workflow engines such as Camunda. Understanding of financial application security requirements: personal data handling, OTP flows, session management, and basic PCI DSS principles. Experience setting up test infrastructure: Docker, running emulators in CI, and build caching. Experience estimating testing tasks and working with QA quality metrics such as DDE, defect density, test coverage, autotest stability, and execution time. What We Offer Fully remote work format. Official employment in accordance with the Russian Labor Code for residents of Russia; contractor collaboration for candidates from other countries. Opportunity to work in an international team on an innovative digital credit product for the Mexican market. A product-focused, data-driven environment where quality directly influences the financial experience of thousands of users. The chance to work on complex mobile, backend, and integration scenarios in a rapidly growing fintech company.

Location: London, United Kingdom WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As a Manager of Forward Deployed Engineering on Notion’s Services team, you will lead a team responsible for the hands-on technical delivery of our most complex customer engagements. Your team will design, build, and deploy production-ready solutions that help enterprise customers integrate Notion as the operating layer for their business. You will combine people leadership, technical judgment, and customer-facing delivery. You will coach Forward Deployed Engineers through discovery, architecture, implementation, and launch while remaining close enough to the work to guide difficult technical decisions, unblock delivery, and build trust with senior customer stakeholders. The team’s work includes custom code, production-grade agents and AI workflows using MCP, Agent APIs, and Notion’s automation and execution infrastructure, as well as integrations, data pipelines, enterprise migrations, and complex challenges involving scale, permissions, and governance. You will help establish how Services delivers complex technical implementations across EMEA. This includes building a high-performing team, improving delivery standards and reusable technical assets, partnering with Sales, Product, CX, and Engineering, and turning lessons from customer deployments into product and platform improvements. WHAT YOU'LL ACHIEVE - Lead, coach, and develop a team of Forward Deployed Engineers delivering complex enterprise customer engagements across EMEA. - Create a high-performance team environment with clear expectations, strong technical standards, effective feedback, and meaningful career development. - Own the quality and outcomes of engagements from technical discovery and requirements gathering through solution design, implementation, launch, and handover. - Act as a trusted technical and delivery advisor to customer engineering, IT, security, and business leaders, helping them make informed architectural decisions and deepen their use of Notion. - Guide the design, build, and operation of custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows. - Oversee large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, cutover, and post-migration optimization. - Review technical designs and implementation plans, identify delivery risks early, and step in directly when an engagement requires senior technical leadership. - Partner with Sales and Services leaders on qualification, feasibility, scoping, effort estimation, staffing, and delivery planning for strategic opportunities. - Balance customer priorities, team capacity, and technical complexity to make sound staffing and sequencing decisions. - Help define and scale the operating model for Forward Deployed Engineering, including hiring, onboarding, delivery methodologies, quality reviews, documentation, and engineering best practices. SKILLS YOU'LL NEED TO BRING - 8+ years of experience in forward deployed engineering, solutions engineering, professional services, customer engineering, software engineering, or a similar hands-on technical role. - 2+ years of experience managing, coaching, or leading engineers responsible for customer-facing technical delivery. - A strong track record of hiring, developing, and retaining high-performing technical teams. - Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python, with the technical depth to review production-quality code and guide implementation decisions. - Hands-on experience with APIs, integrations, authentication, data transformation, and production systems. - Experience leading technical discovery, assessing feasibility, identifying risks, scoping work, estimating effort, and translating ambiguous requirements into executable plans. - Strong architectural judgment and debugging skills, with the ability to isolate root causes across code, APIs, permissions, integrations, data quality, automation logic, system limits, and customer-specific environments. - Demonstrated success managing multiple complex customer engagements while maintaining quality, team health, and clear stakeholder communication. - Strong written and verbal communication skills, with the ability to influence technical and business audiences from practitioners through executive stakeholders. - A customer- and outcomes-oriented approach, with sound judgment about when to standardize, when to customize, and how to manage tradeoffs. NICE TO HAVES - Experience building or scaling a Forward Deployed Engineering, professional services, or customer engineering function in a startup or high-growth environment. - Experience deploying AI agents in complex coding or business workflows. - Experience designing or implementing AI-powered workflows involving MCP, APIs, LLM applications, prompt engineering, retrieval or RAG systems, or workflow orchestration. - Experience with ETL or ELT workflows, schema mapping, validation scripts, and large-scale content or data migration tooling. - Experience partnering with product and engineering teams to influence roadmaps or architectural decisions based on customer implementation needs. - Experience supporting pre-sales and early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, prototypes, and custom scripts. - Experience establishing technical delivery standards, quality review processes, discovery methodologies, or internal engineering tooling from the ground up. - A strong track record of successful enterprise implementations across multiple industries or regions. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.