Вакансии

Опыт от 2 лет в Product Management или UX/Product Research; Опыт в EdTech или сфере образования;

Location: San Francisco; Washington D.C. Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs. As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society. Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day. WHAT YOU'LL DO: Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might: - Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity. - Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys. - Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court. - Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet https://www.perplexity.ai/comet and Computer https://www.perplexity.ai/products/computer). - Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape. - Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management. - Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy. The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike. WHO WE'RE LOOKING FOR: No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here: - Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines. - We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later). - Experienced engineers at top tech companies who wish to develop policy, business, and operations chops. - Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI. - This is a non-exhaustive list; other profiles may also be great fits. No matter which profile describes you, we'll also be looking for: - Evidence of exceptional ability and 99th-percentile work ethic. - Strong technical skills at or above Perplexity's hiring bar for software engineers. - Fluency with frontier intelligence tools (such as Perplexity Computer https://www.perplexity.ai/products/computer). - High intrinsically-enforced standards for the craft and quality of your work. - Strong communication and writing skills, ideally demonstrated via samples of past written work product. - Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months. - Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts. - Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters. - A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.

Location: Remote About the Team Netlify's Finance team builds the financial foundation that helps the company plan, operate, and make informed decisions. The team owns our operating model, management reporting, budgeting and planning, and the company-level metrics leadership uses to understand performance and make tradeoffs. As Senior Finance Manager, you'll own the corporate finance cycle and decide what it should become. That covers monthly reporting, the driver-based forecast, annual planning, scenario work, and the KPI layer, and it extends past running them well into bringing your experience to improve and innovate on our processes. This is a hands-on role with real latitude: you will work directly with senior leadership on capital, pricing, and headcount decisions, and will leverage AI to build better tooling and make Finance faster and less dependent on manual work. What You'll Do Own the corporate finance cycle end to end, including the monthly reporting package, the driver-based forecast, annual planning, and scenario analysis, and redesign the parts that no longer hold up as we scale Frame which scenarios are worth running ahead of capital, pricing, and headcount decisions, and bring a recommendation rather than a set of outputs Lead the annual planning process across departments, from calendar and templates through consolidation and board-ready output Lead cross-functional alignment on metric definitions, reporting dimensions and financial data hygiene Own the company-level KPI and metrics layer, decide what leadership measures as the business evolves, and carry a view on the trends driving each metric Drive market and competitor research to support pricing and packaging, capital allocation, and improve financial forecasting Communicate complex financial mechanics to people outside finance, and drive cross-functional decisions and leadership buy-in Set how budget management runs across departments, including the cadence and what a department leader is accountable for, rather than tracking it on their behalf Be a thought leader steering the finance function's AI operating standard and build the systems and agents to support it Partner with Sales leadership on capacity model and KPI tracking What You'll Bring 7+ years in FP&A or strategic finance, including several years at a SaaS or usage-based business. An investment banking, consulting or private equity background preferred; but strong modeling skills, ability to develop frameworks to solve complex problems and ability to run scenarios is a must Multiple annual planning cycles owned end to end A history of building 3-statement models from scratch, with scenario and sensitivity analysis, and of making structural changes to a model rather than only updating inputs Strong working knowledge of US GAAP and core accounting principles Advanced Google Sheets or Excel, and comfort with large datasets and formula-heavy models Comfort framing abstract business problems and creating frameworks to address them Deep system-level understanding of how financial data moves across source systems, the warehouse, and the planning and reporting layer Deep command of SaaS metrics and their drivers, with a point of view on which ones actually matter at our stage Working knowledge of SQL Hands-on experience building AI workflows other teams adopt, and a clear view on where the human checks belongs Experience presenting analysis and recommendations to executive staff, and a track record of driving org level impact Deep curiosity about our business, product, customers, competitors and industry trends This Role Is a Great Fit If You want to own a function, not contribute to one. The corporate finance cycle would be yours to run and to redesign. You're comfortable being the only person on this work. There is no junior analyst supporting the role and no plan to add one. You will build it and run it yourself. You’re deeply curious about industry. You keep up to date with industry trends, research the competitive landscape, and you turn that into a recommendation rather than an observation. You notice when something is slower or more manual than it needs to be, and you fix it without being asked. You're excited to build. The tooling, the reporting layer, and the automation work are all genuinely open, and there is room to make this function structurally better. Our applications will close on Friday, November 13th at 5pm CST Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to "build a better web" and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you'd like to be part of, we're excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify's equity plan. Our hiring range for this role is targeted at $150,000 - $208,000 for most US-based locations. Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

Designs and develops engaging, accessible, learner-centered learning solutions that support enterprise education, organizational initiatives, knowledge transfer, and performance. Conducts learning and performance analyses to identify audience needs, desired performance, root causes, skill gaps, and appropriate learning or performance-support solutions.

Location: South Africa, Western Cape, South Africa About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Technical Recruiter Location: Cape Town, South Africa Experience Level: 7+ years of technical recruiting experience Work Arrangement: Remote, with working hours aligned to 9:00 AM to 5:00 PM U.S. Eastern Time Why Join Turing? Exceptional talent builds exceptional teams, and exceptional teams shape what Turing can achieve. As a Technical Recruiter, you will own searches from intake through successful start. You will source, assess, engage, and close exceptional talent while partnering closely with hiring managers and candidates throughout the process. Although the role is grounded in technical recruiting, you will support both technical and nontechnical hiring as business priorities evolve. You will also use AI, automation, data, and recruiting technology to improve quality, speed, and effectiveness. As a Technical Recruiter, You Will Own Full-Cycle Recruiting Independently manage assigned requisitions and candidates from intake through successful start. Build qualified pipelines through targeted research, talent mapping, personalized outreach, referrals, and professional networks. Maintain accountability for hiring outcomes, candidate progression, and timely requisition updates. Recruit Across Functions and Geographies Recruit for technical and nontechnical roles across multiple functions and geographic markets. Recruit senior technical roles across London, New York, Seattle, and other international markets. Build local market knowledge and adapt sourcing strategies to different talent pools. Partner With Hiring Managers Define role requirements, calibrate candidate profiles, establish sourcing strategies, and align on evaluation criteria. Provide informed recommendations on candidate qualifications, talent availability, compensation expectations, and hiring strategy. Build trusted relationships with hiring managers and serve as a thoughtful advisor throughout the search. Assess, Engage, and Close Candidates Evaluate candidate qualifications, experience, and role alignment using sound judgment and consistent standards. Coordinate structured interviews, timely feedback, and hiring decisions while proactively resolving obstacles. Develop closing strategies based on candidate motivations, competing opportunities, compensation expectations, and potential concerns. Improve Recruiting Operations Use approved AI, automation, and recruiting technologies while maintaining human judgment and candidate confidentiality. Identify improvements that reduce administrative work, accelerate candidate progression, and improve recruiting outcomes. Maintain accurate, complete, and timely requisition and candidate data in Greenhouse and other relevant systems. The Opportunity Own the outcome: You will be accountable for your searches from intake through successful start, not simply for completing individual recruiting tasks. Build trusted partnerships: You will work directly with hiring managers and candidates and influence hiring decisions through strong judgment and clear communication. Recruit across markets: You will identify and engage senior technical talent across North America, Europe, and other global markets. Raise the operating standard: You will help improve how Turing recruits through disciplined execution, better use of technology, and continuous process improvement. Our Technical Recruiters Typically Have Full-cycle recruiting experience: Seven or more years of experience independently sourcing, assessing, engaging, and closing candidates across the full recruiting lifecycle. Senior technical recruiting experience: A track record of recruiting senior technical roles, including software engineering, AI, data, infrastructure, or related disciplines. Global recruiting experience: Experience recruiting for roles in geographies outside your own, including North America and Europe. Market familiarity: Familiarity recruiting senior technical talent in markets such as London, New York, and Seattle. Talent intelligence: The ability to apply market insights to strengthen sourcing strategies, candidate assessments, compensation discussions, and hiring decisions. Candidate and stakeholder judgment: Strong communication, relationship-building, organization, and judgment across candidates, hiring managers, and cross-functional partners. AI-enabled execution: The ability to use approved AI tools, automation, data, and recruiting systems to improve recruiting quality, speed, and effectiveness. Candidates whose experience is limited to recruiting coordination, interview scheduling, or transactional sourcing without full-cycle ownership will not be a fit for this role. Top-Tier Candidates Will Have Experience recruiting senior technical talent in competitive markets such as London, New York, and Seattle. Experience recruiting across multiple international markets and adapting strategies to local talent pools. A track record of building passive candidate pipelines and closing candidates in competitive talent markets. Experience using AI, automation, recruiting analytics, or other technology to improve recruiting execution. Strong experience partnering with senior technical leaders on role definition, candidate calibration, and hiring strategy. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Bengaluru, Karnataka, India; Chennai, Tamil Nadu, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Performance Marketing Analyst (Growth Analyst, Paid Acquisition) Team: Talent Marketplace Company: Turing Location: Bangalore, India Experience Level: 2–4 years of relevant experience Why Join Turing? Turing’s talent marketplace connects qualified professionals with hiring and contract opportunities across a wide range of roles, skills, and markets. As a Performance Marketing Analyst, you will help grow the talent marketplace by attracting qualified professionals. You will own campaign execution across Meta and Google Ads and work closely with marketplace operations, talent, creative, and analytics teams to turn advertising spend into qualified applicants and successful onboarding. As a Performance Marketing Analyst You Will Own Paid Acquisition Campaigns Plan, launch, manage, and optimize campaigns across Meta and Google Ads. Develop targeting strategies across audiences, geographies, job categories, and professional skill sets. Manage campaign setup, budgets, bidding, creative testing, and ongoing optimization. Translate Marketplace Demand Into Growth Plans Understand priority roles, talent requirements, and marketplace timelines. Build acquisition plans that reach relevant professionals when and where they are needed. Adjust campaign priorities as marketplace demand and business needs change. Optimize for Applicant Quality Track performance from ad click and application through qualification, selection, and onboarding. Improve cost per qualified applicant and cost per onboarded professional. Identify the audiences, messages, and channels that produce the strongest downstream outcomes. Run Experiments and Improve Conversion Test audiences, keywords, creative, messaging, landing pages, and bidding strategies. Partner with marketplace operations, creative, and analytics teams to improve application journeys and conversion rates. Evaluate additional channels such as TikTok, X, job advertising networks, and other relevant platforms. Measure and Communicate Performance Monitor spend, acquisition costs, conversion rates, and funnel performance. Use spreadsheets, campaign dashboards, GA4, Google Tag Manager, UTMs, and attribution data to evaluate results. Share clear recommendations on what is working, what needs to change, and where the next growth opportunity lies. The Opportunity Own meaningful growth: Your work will directly influence the flow of qualified professionals entering Turing’s talent marketplace. Connect marketing to outcomes: You will measure performance beyond clicks and applications, linking campaign spend to qualification, selection, onboarding, and marketplace outcomes. Work across the business: You will partner with marketplace operations, talent, creative, and analytics teams to solve real supply acquisition challenges. Build repeatable systems: You will develop campaign approaches that can scale across roles, markets, and professional audiences. Our Performance Marketing Analyst, Typically Have Hands-on paid acquisition experience: Two to four years of experience in performance marketing, paid acquisition, or advertising campaign management. Strong platform expertise: Direct experience managing both Meta Ads Manager and Google Ads, including campaign setup, targeting, budgets, bidding, testing, and optimization. Quality-focused performance management: A track record of improving acquisition efficiency and conversion quality, supported by specific campaign examples and measurable results. Analytical judgment: Strong analytical skills and comfort working with spreadsheets, campaign dashboards, funnel metrics, conversion tracking, UTMs, attribution, GA4, and Google Tag Manager. Operational ownership: The ability to manage multiple campaigns, respond quickly to changing priorities, and communicate clearly with marketplace operations, talent, creative, and analytics teams. Top-Tier Candidates Will Have Experience with TikTok Ads, X Ads, job advertising networks, or other acquisition channels. Experience in talent marketplace growth, job platforms, or high-volume lead generation. Experience running campaigns across multiple countries or for specialized professional audiences. Familiarity with advertising policies applicable to employment campaigns. Candidates whose experience is limited to campaign reporting or coordination without hands-on ownership of Meta and Google Ads will not be a fit for this role. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Bengaluru, Karnataka, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Growth Analyst, Paid Acquisition Team: Talent Marketplace Company: Turing Location: Bangalore, India Experience Level: 2–4 years of relevant experience Why Join Turing? Turing’s talent marketplace connects qualified professionals with hiring and contract opportunities across a wide range of roles, skills, and markets. As a Growth Analyst, you will help grow the talent marketplace by attracting qualified professionals. You will own campaign execution across Meta and Google Ads and work closely with marketplace operations, talent, creative, and analytics teams to turn advertising spend into qualified applicants and successful onboarding. As a Growth Analyst You Will Own Paid Acquisition Campaigns Plan, launch, manage, and optimize campaigns across Meta and Google Ads. Develop targeting strategies across audiences, geographies, job categories, and professional skill sets. Manage campaign setup, budgets, bidding, creative testing, and ongoing optimization. Translate Marketplace Demand Into Growth Plans Understand priority roles, talent requirements, and marketplace timelines. Build acquisition plans that reach relevant professionals when and where they are needed. Adjust campaign priorities as marketplace demand and business needs change. Optimize for Applicant Quality Track performance from ad click and application through qualification, selection, and onboarding. Improve cost per qualified applicant and cost per onboarded professional. Identify the audiences, messages, and channels that produce the strongest downstream outcomes. Run Experiments and Improve Conversion Test audiences, keywords, creative, messaging, landing pages, and bidding strategies. Partner with marketplace operations, creative, and analytics teams to improve application journeys and conversion rates. Evaluate additional channels such as TikTok, X, job advertising networks, and other relevant platforms. Measure and Communicate Performance Monitor spend, acquisition costs, conversion rates, and funnel performance. Use spreadsheets, campaign dashboards, GA4, Google Tag Manager, UTMs, and attribution data to evaluate results. Share clear recommendations on what is working, what needs to change, and where the next growth opportunity lies. The Opportunity Own meaningful growth: Your work will directly influence the flow of qualified professionals entering Turing’s talent marketplace. Connect marketing to outcomes: You will measure performance beyond clicks and applications, linking campaign spend to qualification, selection, onboarding, and marketplace outcomes. Work across the business: You will partner with marketplace operations, talent, creative, and analytics teams to solve real supply acquisition challenges. Build repeatable systems: You will develop campaign approaches that can scale across roles, markets, and professional audiences. Our Growth Analysts Typically Have Hands-on paid acquisition experience: Two to four years of experience in performance marketing, paid acquisition, or advertising campaign management. Strong platform expertise: Direct experience managing both Meta Ads Manager and Google Ads, including campaign setup, targeting, budgets, bidding, testing, and optimization. Quality-focused performance management: A track record of improving acquisition efficiency and conversion quality, supported by specific campaign examples and measurable results. Analytical judgment: Strong analytical skills and comfort working with spreadsheets, campaign dashboards, funnel metrics, conversion tracking, UTMs, attribution, GA4, and Google Tag Manager. Operational ownership: The ability to manage multiple campaigns, respond quickly to changing priorities, and communicate clearly with marketplace operations, talent, creative, and analytics teams. Top-Tier Candidates Will Have Experience with TikTok Ads, X Ads, job advertising networks, or other acquisition channels. Experience in talent marketplace growth, job platforms, or high-volume lead generation. Experience running campaigns across multiple countries or for specialized professional audiences. Familiarity with advertising policies applicable to employment campaigns. Candidates whose experience is limited to campaign reporting or coordination without hands-on ownership of Meta and Google Ads will not be a fit for this role. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Responsibilities: Designing, coding, and testing software applications. Collaborating with engineers and stakeholders to understand project requirements.

Role Overview As an Account Executive – EMEA, you will hunt new logos while driving growth within strategic semiconductor accounts across Europe, the Middle East, and Africa.

💎 SR ищет Backend Developer, для которого Claude Code — основная рабочая среда: он быстро строит с AI, но проверяет и отвечает за последствия AI-кодинга.

Location: Remote Workplace: Remote Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. We’re looking for a Marketing Content Manager who can bring depth, clarity, and credibility to how Blockstream communicates with the world. This role is equal parts journalist and researcher — someone who’s not just publishing updates but shaping narratives, spotting trends, and ensuring everything we say reflects both thought leadership and technical accuracy. You’ll manage Blockstream’s content calendar, lead research-driven storytelling, and produce well-informed, engaging material across multiple channels — from long-form articles and reports to social commentary and product updates. What You’ll Be Doing (Responsibilities): - Research and analyze industry trends, technologies, and market developments across Bitcoin, fintech, and enterprise infrastructure. - Develop original insights, commentary, and “hot takes” that position Blockstream as a leading voice in the Bitcoin ecosystem. Plan, edit, and publish content across owned channels (blog, newsletter, social, and website). - Work with internal stakeholders — including engineering, product, and communications — to ensure all content is accurate, aligned, and well-positioned. - Consolidate and maintain a content library that serves as a single source of truth for public materials and messaging. - Uphold Blockstream’s editorial standards — thoughtful, credible, and grounded in technical and economic reality. - Support broader marketing initiatives, including product launches, announcements, and thought leadership campaigns. What We Look For in You (Required Qualifications): - 5+ years of experience in content creation, journalism, research, or communications — ideally in tech, fintech, or crypto. - Proven ability to translate complex technical concepts into accessible and engaging narratives. - Strong editorial judgment — able to balance speed, accuracy, and quality in publishing. - Experience managing an editorial calendar and coordinating with multiple teams. - Excellent writing, editing, and analytical skills with attention to detail and tone. - A strategic mindset — able to connect content decisions to brand, audience, and business goals. Nice To Haves (Preferred Qualifications): - Familiarity with Bitcoin, blockchain, or financial technology concepts. - Background in research, investigative journalism, or economic/technical writing. - Experience working with data or analytics tools to inform content decisions. 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com http://blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals. Key responsibilities Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions Handle civil third-party subpoenas and preservation demands Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling Run and improve the law enforcement response process and tooling Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations Coordinate with outside counsel, alongside in-house counsel, on objections, challenges, and narrowing Produce recurring reporting on request volume, deadlines, and queue health, and support Anthropic's periodic transparency reporting on government requests Monitor legal developments in government access to user data and advise the team on their operational impact Support litigation and regulatory matters and stretch beyond core responsibilities as needed to support the legal team's objectives Minimum qualifications Experience in a legal operations, business/operations manager, or paralegal role in an in-house legal department, or similar experience Direct, front-line experience handling law enforcement or government requests for user data, including subpoenas, court orders, warrants, preservation letters, and emergency disclosure requests Working knowledge of the legal framework for law enforcement access to user data, including the Stored Communications Act and the mechanics of foreign and cross-border requests such as MLATs Excellent written and verbal communication skills, with the ability to work effectively with colleagues at all levels of the organization Demonstrated ability to exercise good judgment and maintain the highest standards of discretion and confidentiality when handling sensitive legal matters, including under time pressure Strong project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously Experience owning an intake, queue, or docketing process end to end,  including deciding what gets escalated and maintaining rigorous tracking Comfort operating and improving the tooling a legal process runs on (trackers, spreadsheets, forms, aliases, and simple automations), with a willingness to make changes directly rather than route every change to someone else A proactive, solutions-oriented approach to identifying, recommending, and implementing process improvements within the legal department Preferred qualifications 5+ years of experience in legal operations, business/operations management, or a paralegal role in an in-house legal department 2+ years of experience at a high-growth technology company, with exposure to the legal challenges and opportunities presented by emerging technologies Experience building or scaling a law enforcement response process Experience managing legal intake process within a growing company Demonstrated ability to think critically and creatively, adapting to new challenges and finding practical solutions to complex legal issues Familiarity with legal project management software such as Asana, Trello, or Jira, and a willingness to learn and adopt new tools to streamline legal processes 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: $1 — $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. RESPONSIBILITIES - Recruit, hire, and grow Baseten’s first SRE team in London, with ongoing coaching, feedback, and career development through regular 1:1s. - Set clear performance expectations, hold a high bar, and foster a culture of ownership, accountability, and continuous improvement. - Own the reliability of Baseten’s multi-cloud Kubernetes infrastructure during your team’s hours, including incident response, post-mortems, and remediation tracking. - Partner with SRE leadership in the US to design follow-the-sun on-call rotations, escalation paths, and handoff processes. - Serve as the escalation point for major incidents, drive resolution with urgency, and make sure the team learns from every incident. - Drive technical decisions through design reviews, code reviews, and architectural discussions. Turn the reliability roadmap into clear team priorities and milestones, and hold the team accountable for delivering them. - Lead the team in defining and instrumenting SLOs and SLIs, and in building observability infrastructure (metrics, logging, dashboards, and alerting) as code. - Turn recurring failure patterns and tribal knowledge into runbooks, automated mitigations, and self-healing systems. - Partner with engineering, forward deployed, capacity, and product teams to raise the operational floor across the company, and represent your team’s progress, capacity, and tradeoffs clearly to leadership. - Ensure the fleet is healthy and operational across all clusters. Interact with vendors and internal teams to remediate node failures and reliability concerns. - Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity. REQUIREMENTS - 4+ years of experience directly managing engineers in an SRE, cloud infrastructure, or platform engineering context. - Extensive hands-on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews (multi-cloud experience across EKS, GKE, or similar is a strong plus). - Strong background building and maintaining scalable production infrastructure. - Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. - Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD). - Experience leading incident response, running post-mortems, and building on-call rotations and runbooks. - Track record of recruiting and growing engineering talent. - Strong written and verbal communication skills, with the ability to collaborate across time zones and influence without direct authority. - Openness to learning about ML infrastructure. Prior machine learning experience is not required. - Ability to work onsite in our London office 3 days a week. NICE TO HAVE - Experience building a new team or establishing an engineering presence in a new region. - Observability-as-code experience. - Background in multi-cloud and hybrid environments. - Familiarity with incident management platforms (incident.io http://incident.io or similar). - Background in GPU infrastructure, or in diagnosing runtime issues around latency, memory behaviour, GPU utilisation, and concurrency. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote (U.S. & Canada) Workplace: Remote The Company: Outschool’s mission is to inspire kids to love learning. In our fast-changing world, the traditional educational system struggles to meet the diverse and evolving needs of young learners. Outschool reimagines this system, offering flexible and engaging learning experiences as a supplement and alternative to traditional education. By connecting learners with a global community of teachers and peers through our online platform, we make learning personal, dynamic, and deeply human. We've made significant strides since launching our marketplace of live online classes in 2017. Finding initial success with secular homeschoolers, we then expanded to enrichment learning to meet the needs of a wider audience, growing our business 16x since 2019. Post-pandemic, we have evolved our platform to power academic learning, incorporated AI, and have begun to grow our international community. We're proud to have served over 1.5M passionate learners with more than $100M in annual bookings. Driving disruptive, positive change in education is rewarding and hard. Outschool team members are encouraged to challenge themselves, take risks, and grow in their careers. We look for talented people whose sense of urgency, innate curiosity, and determination to drive impact will help Outschool achieve outsized results in pursuit of our mission. We invite you to be part of an ambitious team dedicated to ensuring every learner can navigate the future with curiosity, resilience, and a love of learning. The Role We’re looking for a Senior Product Manager to define and drive the strategy for a core part of our marketplace. You’ll own a product area end to end, from identifying the right problems through launch and long-term iteration, and you’ll work closely with Engineering, Design, Data, and business leaders. At our size, this is a high-autonomy, high-impact role. You’ll operate with ambiguity, make consequential decisions with incomplete information, and align teams around a clear direction. Your work will directly influence how families discover learning and how educators build successful businesses on Outschool. Core Responsibilities: - Set the vision and strategy for your product area. Define the customer problems worth solving, the outcomes to pursue, and a multi-quarter strategy and roadmap, including what we will not do. Connect your strategy to company priorities and influence those priorities with evidence. - Develop deep customer insight. Talk directly with families and educators, partner with customer-facing teams, and combine qualitative research with quantitative analysis to uncover opportunities others haven’t seen. - Balance a two-sided marketplace. Make thoughtful trade-offs between the needs of families and educators, grounded in customer value and business impact. - Make high-stakes decisions and own the outcomes. Weigh evidence, technical constraints, and business goals to make clear recommendations and decisions. Communicate the reasoning, work through disagreement constructively, and adjust course when the evidence changes. - Lead across the organization without formal authority. Build alignment among Engineering, Design, Data, Marketing, Operations, and senior leadership. Resolve conflicting priorities, establish clear ownership, and keep initiatives moving. - Drive execution and launch. Partner with your team to define success measures and make practical scope decisions that balance speed and quality. Anticipate risks and dependencies, and ensure customers can discover, understand, and adopt what we build. - Own results after launch. Measure customer and business impact, test assumptions, share what you learn, and use the evidence to scale, iterate, or stop work. - Raise the bar for product craft. Model strong product thinking, write clear strategy and decision documents, and mentor other PMs and cross-functional partners. - Apply AI thoughtfully. Use AI to accelerate research, prototyping, and analysis, and identify where AI can create meaningful customer value. Desired Experience & Skills: - 6+ years of product management experience, including 3+ years owning a significant software product or product area from discovery through launch and iteration, with a track record of measurable customer and business impact. - Demonstrated ability to define product strategy and vision in ambiguous environments, and to translate it into a prioritized, outcome-driven roadmap. - Strong cross-functional leadership. You’ve earned trust across technical and business teams, influenced senior stakeholders, and moved complex initiatives forward without formal authority. - Excellent communication. You write concise, compelling briefs and strategy narratives, explain decisions and trade-offs to different audiences, and listen carefully. - Sound product judgment grounded in customer needs, data, business goals, and technical constraints, with the confidence to make decisions with incomplete information. - Strong analytical skills, including comfort defining metrics, designing experiments, and drawing insight from data. - A high degree of ownership. You identify what needs attention, propose a path forward, and follow through. - The ability to give and receive direct, constructive feedback, and to take responsibility for the impact of your decisions. - A genuine interest in expanding access to learning and improving the experience of families and educators. What success looks like: - First 90 days: You’ve built deep customer and business understanding, earned the trust of your partners, and presented a clear point of view on strategy and priorities for your area. - 6 months: Your team has a shared understanding of the problems, goals, and reasoning behind key decisions, and you’ve shipped meaningful improvements with a clear adoption plan. - 12 months: Your product area shows measurable progress against agreed customer and business goals, your decisions and learnings are shaping broader company priorities, and you’re raising the bar for how product work gets done. Other Considerations: - Building products for a consumer marketplace, education business, or another environment with multiple customer groups. - Working in a small or growing company where priorities evolve and PMs stay close to execution. - Mentoring or coaching other product managers. - Hands-on use of AI tools in product discovery, prototyping, or delivery, or experience shipping AI-powered features. Compensation: Outschool recruits across the US and Canada, and sets employee salaries to reflect local compensation and cost of living. In addition to base compensation, this role is eligible for equity and benefits. Additional details are provided during the interview process. For Canadian-based candidates, compensation range for this role is $172,000 - $193,500 CAD annually. This role is available in the following US Pay Zones: US Tiers US Tier 1: San Francisco Bay Area, New York City, and Seattle Metro US Tier 2: All California excluding San Francisco Bay Area, Boston Metro, Chicago Metro, Denver Metro, Austin Metro, Portland Metro US Tier 3: All other cities and states US Pay Zones US Tier 1: $208,000 - $234,000 US Tier 2: $176,800 - $198,900 US Tier 3: $156,000 - $175,500   Benefits & Culture: At Outschool, we believe that taking care of one another enables us to do our best work. To us that means: - Shared Financial Success: Competitive salaries, stock options, and retirement plans. - Health: Comprehensive medical, dental, vision, disability, and life insurance. - Wellness: Annual wellness stipend, access to coaching & therapy, and pet wellness plans. - PTO & Family Benefits: Generous PTO and family leave policies. - Hybrid & Remote-Friendly: Outschool has a distributed team across the U.S. and Canada and an office in San Francisco. Bay Area-based employees work in the office part of the week and receive commute-related benefits. Team members outside the Bay Area remain fully remote, with support for expensable home office setup and internet to stay connected no matter where you are. - Lifelong Learners: Annual budgets for professional development and DEI learning; budgets for children to take Outschool classes. - Community Impact: Outschool matches employee donations to eligible charities and supports Outschool.org http://Outschool.org’s nonprofit programs. Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience. If you require a reasonable accommodation to participate in the job application or interview process, please contact recruiting@outschool.com.   Benefits packages are included for full-time employees only. Please note benefits and perks may vary for employees based outside of the US and Canada.   Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada, unless specifically indicated otherwise.   Once you submit your application, Outschool will process your personal data to evaluate your candidacy for employment. Unless specifically indicated otherwise, we hire employees only in the U.S. and Canada. Applicants else where should be aware that we may discard your application upon submission or we may ask if you would like us to retain it later should there be consideration (this is not typical at all). If you are selected for interviewing, your data will be shared with interviewers and personnel involved in that process. If not hired, your application will be retained for one year in case there is another suitable role. You may opt out of this at any time. Please see our Employee/Applicant Privacy Notice https://outschool.com/pages/privacy-Emp for more detailed information. If applicable, as you progress through the process, we will be clear about what information is being asked for and what happens with that information.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Bringing Claude to scientists and engineers is a big part of building toward that future. Claude has already helped uncover a novel enzyme system , formalize Fermat’s Last Theorem , design more efficient quantum circuits , and compute new results in theoretical physics — and this is just the beginning. You’ll figure out what scientists and engineers need from Claude and build it from 0→1. You’ll be a technical leader with a high degree of autonomy, helping clear the path to harnessing scientific AGI. You’ll work with internal experts and industry partners. Initiatives like our AI for Science Program will connect you with researchers we support in high-impact work across scientific fields. Key responsibilities Build products that unlock scientific discovery Partner with product management, design, and go-to-market to make complex workflows, like modeling and simulation, simple to run with Claude Work closely with research to make models better at science and engineering Spend time with users in academia and industry to decide what to build next Own technical design and delivery end to end, shipping product quickly rather than just executing a spec Minimum qualifications Software engineering experience, including owning the technical design and delivery of products Experience building products from 0 to 1 in fast-moving environments, and setting technical direction with limited precedent to lean on Experience building AI products, and knowledge of what it takes to turn model capabilities into applications people actually use Ability to think holistically about user experience and craft tools that are a pleasure for scientists and engineers to use Comfort working directly with technical domain experts and customers, and turning what you learn into product Enjoyment of solving hard problems together with researchers, scientists, and other engineers Preferred qualifications 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Background in math, physics, materials science, mechanical or electrical engineering, or another science or engineering field Experience building software for scientists or engineers, such as CAD, simulation, electronics design, or scientific computing tools Experience as a founder or early engineer at a company building tools for scientists or engineers Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Brand Strategy Lead at Anthropic, you will own brand architecture and naming strategy across the Anthropic and Claude brands. Claude is becoming part of how people work, build, and discover, and how we organize and name what we make shapes how a broad, global audience of enterprise buyers, developers, researchers, policymakers, and the general public understands it and whether they trust it. This is a foundational role: you'll solidify this function at Anthropic, making the routine calls yourself and bringing the biggest decisions to senior leaders with a clear recommendation. In this role, you'll own all brand architecture and naming strategy work globally, from how the portfolio fits together as it grows to the names we ship, and you'll build the systems, structure, and processes other teams follow. In a single week, you might map part of the portfolio, generate names, and take multiple recommendations to senior leaders. This is a senior individual contributor role, so you'll scope the work yourself and set a roadmap a year out with minimal direction. You'll partner closely with Brand Design, Product and Brand Marketing, Product teams, IP Legal, and Comms to position new offerings and introduce them to the world. Key responsibilities Own all brand architecture strategy across Anthropic and Claude, including how brands, products, models, features, plans, and programs relate to one another Lead decisions on where new products, models, features, and programs sit in the portfolio, including when an offering extends an existing brand and when it needs its own, and when something earns a name versus a plain description Own the company's global naming strategy and all naming work from brief to launch, across products, features, events, and programs Develop names yourself, in volume, from descriptive to coined, and help teams and leaders pressure test them, running research when a decision needs it Build coherent brand architecture, naming, and terminology systems, including conventions, usage rules, and a source of truth, along with tools and training so teams can make routine calls on their own Manage intake and review, and get teams to come to us early, while there's still space to think, connect dots, and simplify Present brand architecture and naming decision docs to senior leaders, and advise them on the hard calls Track the portfolio over time, auditing and simplifying where it has grown complex Partner with IP Legal to evaluate options, plan around clearance risk, and take names through clearance Partner with Product and Brand Marketing to shape how new offerings are positioned, and ensure names work across global markets, including linguistic and cultural checks Lead alignment across Product, IP Legal, Brand Marketing, and Comms on where a new offering sits, what its name means, how to use it, and how to introduce it to the world Use Claude throughout the naming process, from generation to testing to governance Minimum qualifications Have deep expertise in brand architecture, including deciding where new products and programs sit in a complex and growing portfolio Have built or rebuilt the brand architecture of a multi-brand portfolio, including how a company brand and its product brands work together Can weigh branded house, endorsed, and house of brands models, and make a clear recommendation Are genuinely passionate about brand architecture and naming as a craft, and appreciate how it builds stronger, more coherent brands and audience understanding Know the range of naming strategies, from descriptive to coined, and have personally generated and shipped names across products, features, events, and programs Have created systems and processes that codify brand architecture or names, such as nomenclature frameworks, conventions, databases, and governance, that teams at a company or client adopted Have worked with trademark counsel and can plan around clearance risk Write clear docs that get decisions made, and have scoped and led cross-company work with minimal direction Can teach senior leaders why brand strategies and systems should matter to them, defend a system with conviction, and know when an exception is worth making Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Led brand architecture or naming in-house, at a specialty branding agency, or at a consultancy Restructured a brand portfolio through rapid growth or major change Experience with AI products, models, or programs, or with technology companies more broadly Led naming across global markets, including linguistic and cultural checks Worked across both consumer and enterprise brands Designed qualitative or quantitative brand architecture or naming research, or managed naming, verbal identity, or research partners A background in linguistics, copywriting, or verbal identity, and experience using AI tools in creative work The ability to learn new, often technical, domains well enough to position, name, and brand them 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: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. The Lead, Community Growth Marketing Manager leads community strategy, member experience, and integrated marketing across GitLab’s community portfolio including the Software Engineering Leadership Forum . This role defines how our communities grow and deliver value, building experiences that foster meaningful connections, sustained participation, and long-term engagement. This is an opportunity to build community as a growth practice, turning community relationships into impact supporting GitLab’s growth flywheel. What you'll do Shape SELF's strategy and growth plans, building strategies that attract the right audiences and strengthen engagement and advocacy. Lead the programming and audience experience for SELF events and chapters. Define the purpose, format, agenda, speakers, and follow-up, partnering with program operations and event teams on logistics and delivery. Design the full member experience, including automated journeys and cross-functional workflows with Lifecycle Marketing, Marketing Operations, and program teams. Connect invitations, onboarding, event follow-up, ongoing engagement, and reporting so SELF and other programs scale without losing personalization. Build SELF's annual programming and marketing calendar. Coordinate experiences with GitLab's broader campaigns, launches, field activities, and marketing priorities. Put AI to work in community marketing. Experiment with ways to automate workflows, understand member feedback, personalize content, and make better decisions. Apply human judgment, review outputs for quality, and handle member data responsibly. Partner with Sales and Customer Success to identify priority accounts and top customer champions. Build relevant paths for them to join and contribute to community programs as members, speakers, and peer leaders, with coordinated outreach and follow-up. Collaborate with internal executive teams and crossfunctional partners, as well as external community partners to seed growth and integrate across existing plans. Track, measure and iterate on membership growth, event participation and quality, activation, retention, satisfaction, priority-account engagement, and advocacy. What you'll bring Experience building or scaling communities, membership programs, or peer networks. Ability to turn strategy into a clear growth plan, annual programming and marketing calendar, and coordinated member journey. An understanding of how community, customer engagement, advocacy, and account growth reinforce one another. Experience partnering closely with sales teams to identify priority accounts and customer champions and engage them in relevant programs. Demonstrated experience planning and delivering both virtual and in-person events, including community events. Ability to connect audience selection, programming, speaker engagement, and follow-up to member value and measurable outcomes. Familiarity with lifecycle marketing, marketing automation, CRM systems, web analytics, or campaign measurement. Strong cross-functional collaboration and writing skills, with the ability to communicate a program's value to different audiences. Ability to use member research, event feedback, engagement data, and marketing results to make decisions and improve programs. Sound judgment and the ability to balance ownership of SELF with marketing support for other community programs, working with operational partners on delivery. About the Team The Growth Community Programs team supports GitLab’s growth flywheel, seeding tomorrow’s customers and activating today’s. We design the programs and motions that turn customer and community relationships into lasting member value, advocacy, pipeline and expansion. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Support Operations team at Anthropic is dedicated to optimizing and scaling the Product Support function to deliver exceptional user experiences. As a Support Operations Specialist focusing on Learning and Education, you will be one of the first members of our Learning & Education function, helping own the programs that develop and grow the Product Support team's capabilities. This includes maintaining and evolving our existing onboarding program for new team members, program managing continuing education initiatives (such as "booster" trainings on complex topics or areas needing reinforcement), and partnering on enablement around product releases. You'll also work closely with the broader Product Support team on our internal knowledge management strategy, ensuring our team has the expertise to handle any question that comes their way. Responsibilities: Maintain and continuously improve the onboarding program for new Product Support team members, keeping content current as our products and team evolve and adapting the program based on new-hire feedback and outcomes Program manage continuing education initiatives, including identifying training needs, developing curriculum, and measuring effectiveness Partner on release enablement efforts, ensuring the Support team has the resources and knowledge to support new products and features Co-own our internal knowledge management strategy, ensuring our team can efficiently access and contribute to shared expertise Build feedback loops to understand where the team needs additional support or training You might be a good fit if you: Have 4+ years of experience in learning & development, enablement, support operations, or similar roles in a technology company Demonstrate a data-driven approach, using metrics and insights to continuously improve programs and measure training effectiveness Possess strong communication skills with the ability to distill complex technical concepts into engaging learning experiences Excel at cross-functional collaboration, particularly with Product, Engineering, and Support teams Are proactive and solutions-oriented, with excellent program management abilities Are comfortable joining a small, growing team early, building on existing programs and helping shape how the function operates Thrive in a fast-paced environment and can adapt quickly to evolving products and priorities Have a passion for AI technology and helping others build their expertise Strong candidates may also have: Background in instructional design or adult learning principles Experience scaling or evolving onboarding or L&D programs as a team grows Experience with support or customer-facing teams specifically 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: $165,000 — $210,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.