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Location: Aberdeen Proving Ground, Maryland Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking a Computer Operator II to support a large-scale Army test and evaluation program. The project provides data collection, technical writing, computer operations, range scheduling, and administrative support services necessary to execute the government’s test mission. Support encompasses testing of a wide variety of automotive, combat, electronic, general equipment, and ordnance materiel, with services including data collection and coordination, data compilation and processing, development and management of data collection forms, test monitoring, technical writing and editorial review, reporting, data and software administration, range scheduling, and related operational support. The Computer Operator II supports functional users by preparing computer processing requirements, maintaining test projects and customized electronic data-entry forms, and using data management and reporting tools to track information and produce reports. As required, the role seeks technical guidance before working with users and personnel from other agencies to formulate system requirements. Work will be performed primarily onsite in Aberdeen, Maryland, with travel to other locations within the Continental United States (CONUS) and Outside the Continental United States (OCONUS) as required by mission needs. This position is contingent upon contract award. Responsibilities Support functional users of computer systems by accepting processing requirements and preparing them for execution. Set up and maintain test projects and suggest improvements to customized electronic data-entry forms. Use web-enabled data management systems such as ODIN and VDLS for tracking and monitoring. Use application tools such as Cognos to query databases and produce professional reports based on user requirements. As required, seek technical guidance before working with users and personnel from other agencies involved with or interested in test results to formulate requirements that may result in system modifications. Qualifications Bachelor’s degree in Computer Studies or a related field such as Information Technology, Information Management Systems, or Computer Technology; OR an Associate’s degree in Computer Studies or a related field and two (2) years of experience; OR experience using data-entry software tools in a Windows environment and industry-standard reporting tools such as IBM Cognos, Microsoft Access, or Crystal Reports. Must be able to obtain and maintain a Secret security clearance. Must possess a high school diploma. Must be proficient in speaking, reading, writing, and understanding English. Must be able to communicate clearly and concisely, both orally and in writing. Must be proficient in the use of computers and Microsoft Office software. Must be able to meet the physical requirements necessary to perform assigned functions, which may include working in extreme heat or cold, high humidity, blowing sand and dust, confined spaces, at heights, and walking distances over unimproved terrain while wearing required personal protective equipment (PPE). Must be available to support work outside normal duty hours when required by mission needs. Must be willing and able to travel within CONUS and OCONUS as required. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $55,000 — $114,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Aberdeen Proving Ground, Maryland Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking a Technical Writer to support a large-scale Army test and evaluation program. The project provides data collection, technical writing, computer operations, range scheduling, and administrative support services necessary to execute the government’s test mission. Support encompasses testing of a wide variety of automotive, combat, electronic, general equipment, and ordnance materiel, with services including data collection and coordination, data compilation and processing, development and management of data collection forms, test monitoring, technical writing and editorial review, reporting, data and software administration, range scheduling, and related operational support. The Technical Writer develops, writes, edits, and organizes technical and administrative publications supporting Army research, development, test and evaluation activities. The role documents equipment, test activities, work methods, procedures, and maintenance information and helps translate technical information into clear, concise publications for government and technical audiences. Work will be performed primarily onsite in Aberdeen, Maryland, with travel to other locations within the Continental United States (CONUS) and Outside the Continental United States (OCONUS) as required by mission needs. This position is contingent upon contract award. Responsibilities Assist in developing, writing, and editing reports, manuals, briefs, proposals, instruction books, catalogs, and related technical and administrative publications. Develop technical materials concerning work methods and procedures and the installation, operation, and maintenance of machinery and other equipment. Observe production, developmental, and experimental activities to document operating procedures and technical details. Interview production and engineering personnel and review journals, reports, and other materials to become familiar with product technologies and production methods. Review manufacturers’ trade catalogs, drawings, and other data related to the operation, maintenance, and service of equipment. Organize material and complete writing assignments according to established standards for order, clarity, conciseness, style, and terminology. Review published materials and recommend revisions or changes in scope, format, content, and methods of reproduction and binding. Maintain records and files of work products and revisions. Select photographs, drawings, sketches, diagrams, and charts to illustrate technical material and assist with publication layout. Coordinate typing, duplication, and distribution of materials. Write speeches, articles, and public or employee relations releases as required. Edit, standardize, and revise materials prepared by other writers or technical personnel. Qualifications Bachelor’s degree in English, Journalism, Communications, or another scientific discipline; OR an Associate’s degree in English, Journalism, Communications, or another scientific discipline and three (3) years of technical writing experience supporting Army research, development, test and evaluation (RDT&E) programs; OR ten (10) years of technical writing experience supporting Army RDT&E programs. Must possess a high school diploma. Must be proficient in speaking, reading, writing, and understanding English. Must be able to communicate clearly and concisely, both orally and in writing. Must be proficient in the use of computers and Microsoft Office software. Must be able to obtain and maintain a Secret security clearance. Must be able to meet the physical requirements necessary to perform assigned functions, which may include working in extreme heat or cold, high humidity, blowing sand and dust, confined spaces, at heights, and walking distances over unimproved terrain while wearing required personal protective equipment (PPE). Must be available to support work outside normal duty hours when required by mission needs. Must be willing and able to travel within CONUS and OCONUS as required. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $75,000 — $145,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: EMEA; United Kingdom; The Netherlands Workplace: Remote We are currently growing our support team at ClickHouse, which provides excellent service to our customers around the world. We are seeking a Technical Customer Support Engineer to join our global Support Engineering team. We hope to find you ready to take on a variety of tasks related to our customers across EMEA, as well as more globally across the Americas, and APJ regions when support is needed or coverage overlaps. This is a customer-facing role that will include interactions via chat, calls, Slack messages, and video meetings. You will be owning a wide variety of tasks: from triaging support tickets to user community support, helping with both pre- and post-sales customer activities, partnering with our Go To Market team with deeply technical aspects of POCs, and suggesting improvements to how we do things in Support at ClickHouse. This is a great opportunity for someone ready to roll up their sleeves and help us continue to provide excellent customer support to our rapidly growing user base. What you will be doing: - Supporting and guiding our ClickHouse users, customers, and prospects via cases, chat, Slack, community, and meetings - Develop solutions based on ClickHouse Cloud and ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training - Work closely with our global Support Services, Engineering, Go to Market, and Product Management teams to help define functionality required by users and customers - Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers  And of course: - You will deliver excellent customer service as a first-line technical engineer and representative of ClickHouse. Our Support Engineers provide professional response, on-call coverage, and guidance within the required Service Level Agreements ("SLAs") on technical cases that are opened via a ticketing system, email, Slack, chat, and/or phone - You will build strong, trusted relationships with colleagues, customers, and partners What you bring along: - Technical breadth and depth in ClickHouse open-source or ClickHouse Cloud, or in domains relevant to ClickHouse, such as: SQL databases, OLAP, cloud-native SaaS, distributed systems - Previous technical experience in roles such as Support Engineer, Consultant, Database Administrator, Site Reliability Engineer, Solutions Engineer, Software Engineer, and/or Systems Engineer - Be present and available according to the scheduling required to deliver high-quality 24x7 Support in a global, distributed environment - Strong communication skills and the ability to work fully remote with reliable connectivity - A mindset of teamwork, global engagement, empathy, and solving challenging problems - A sense of adventure and urgency in building the most scalable, high-performing, largest, and fastest databases on the planet - The ability to build trusted relationships with colleagues, customers, and partners - You are self-driven, curious, and eager to continuously learn and grow Bonus points: - Experience with ClickHouse - Experience with OSS and open-source technologies, as a user, community member, or contributor - Experience with Azure, GCP, or AWS - Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: San Francisco Summary of Role Perplexity AI is looking for a Principal Counsel, Corporate to serve as the company’s primary lawyer for corporate governance, equity, and financing matters. In this role, you’ll own the full corporate legal lifecycle, from board and stockholder governance and equity administration to financings, secondary transactions, and entity management as we scale globally. You’ll work closely with our Finance, Accounting, Tax and People teams, as well as with our executive team and investors. You’ll drive transactions from term sheet through closing, build the governance infrastructure that keeps a rapidly growing private company well-run, and stand up the templates, playbooks, and records systems that let corporate work scale without adding headcount. The ideal candidate brings deep private-company corporate and securities experience, precision with cap-table and equity mechanics, and the judgment to make principled calls independently. This is a high-impact, hands-on role for a corporate attorney who thrives in fast-paced environments, is comfortable being the first and only owner of a workstream, and is excited to help build a best-in-class legal function at one of the most consequential AI companies in the world. Key Responsibilities - Lead corporate governance for Perplexity and its subsidiaries, including board and committee meeting preparation, agendas, minutes, resolutions and written consents, charters, organizational documents, corporate policies, and the corporate records that keep the company well-governed as it scales. - Structure, draft, and negotiate equity and debt financings from term sheet through closing, including preferred stock financings, credit facilities, convertible instruments, and related diligence and closing deliverables. - Own secondary transactions and liquidity programs, including tender offers, company repurchases, direct secondaries, transfer approvals and the related stockholder communications and consents. - Partner with Finance, Accounting, Tax and People on equity compensation and cap-table administration, including option and RSU grant processes, 409A valuations, pool sizing and refreshes, fully diluted share reconciliation, and Carta hygiene. - Support M&A, acquihires, strategic investments, and other corporate transactions, including structuring, diligence, definitive agreement negotiation, closing, and post-closing integration, and manage outside counsel to budget and schedule. - Build and scale corporate legal infrastructure, including consent and resolution precedent libraries, grant and vesting exhibit templates, signature and approval workflows, entity management systems, and formation and foreign-qualification processes for domestic and international expansion. - Support corporate readiness workstreams, including audit support, internal controls over corporate approvals, subsidiary governance, and the sequencing of policies and processes that position the company for future financing or public-company requirements. - Monitor legal and market developments affecting private-company governance, equity, and securities matters, and translate them into practical guidance for the executive team and the board. Qualifications - JD and in good standing with an active US state bar membership, , or eligible to register as in-house counsel in California - At least 9+ years of law firm and/or in-house experience - Track record leading venture or growth equity financings, secondary transactions, and corporate governance for high-growth private technology companies - Deep familiarity with cap-table mechanics, equity compensation administration, and charter and stockholder agreement provisions, with the precision to reconcile numbers before they reach the board - Strong business acumen and ability to partner with finance, accounting, people, and executive stakeholders - An ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers - Hands-on attitude to tackle projects large and small, low-ego approach to working across the organization - Positive collaborative attitude, comfort with change and a fast pace, high level of integrity, and intellectual curiosity - Comfortable working in a fast-paced, dynamic environment

Location: Ontario, CAN 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 Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: United States + International (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. Summary GiveWell is seeking a Cause Prioritization Lead to own and improve our cause prioritization process, develop a portfolio of early-stage grants across emerging cause areas, and rapidly respond to promising new opportunities that are unusual for GiveWell, do not fit with our existing grantmaking teams and may require innovative approaches to investigation. As part of our lean research team, you will have an outsized influence on our funding decisions and help us save and improve lives on a global scale. You’ll create and lead ambitious research agendas, answer complex questions, and inform high-impact grantmaking decisions by combining rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment. The Cause Prioritization lead will join GiveWell at Senior Program Officer level. You will build a sub-team within the New Areas team and will report to our New Areas team lead. The role As Cause Prioritization Lead, you will be an intellectual leader of GiveWell’s work in new domains. In this role, you will build and lead a new sub-team within GiveWell's New Areas team. You will be responsible for: Improving our cause prioritization process to identify promising emerging areas for grantmaking; ensuring that process combines evidence, cost-effectiveness modelling and our own judgement, and is continuously responsive to new information and external feedback. Overseeing a portfolio of grant investigations and grant management in each of the highest priority emerging cause areas, and starting to build a research agenda including identifying ways to learn about key uncertainties through the initial grants that we make. Communicating externally about our work and building a network of people across implementers, funders, and academia whose expertise span a broad range of cause areas, to help source new ideas. Managing a team to execute these goals, and supporting the professional development of other team members. Creating a culture that is agile and willing to respond to new and unusual opportunities. Directly investigating more complicated grantmaking opportunities yourself. This could include investigating types of programs that are newer to GiveWell; for example, programs earlier in the product development cycle or programs to support government prioritization and planning. In the course of your work, you might approach questions like these: How can we source new grantmaking opportunities in fields in which we don't have an established presence, and how can we make sure we hear from a range of implementers, not just those we've worked with before? How much uncertainty are we willing to accept before making a grant, which questions do we need to answer before making a grant, and which ones can we deprioritize or answer later? What research we can fund today that could substantially impact our grantmaking five years from now? How should we balance exploring and seeding new, smaller opportunities with funding cost-effective opportunities at scale today? How can we ensure that we identify new funding gaps opened up by changes in other donors' priorities? How can we triangulate empirical evidence against expert opinion on other qualitative features, like organizational track record? How can we estimate the probability that a new health commodity comes to market in low and middle income countries, and on what timeline, at what scale? How can we model the cost-effectiveness of a horizontal program which has benefits across a diffuse set of health outcomes? Team structure Our research department is currently organized into eight teams: Five of the teams (Water, Livelihoods, Nutrition, Malaria, and Vaccines) focus on specific areas of grantmaking. The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work. The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing. The New Areas team focuses on interventions in domains that are new to GiveWell. The New Areas team is currently a 9-person team within an overall research department of ~80 people, and focuses on interventions in domains that are new to GiveWell. Our work is divided into three main workstreams. Grantmaking in emerging cause areas, as well as the process for and identification of new cause areas for that portfolio, would be the primary responsibility of the Cause Prioritization Lead. Core cause areas: this is the set of cause areas for which the New Areas team devotes a significant amount of time developing subject-matter specific expertise and networks, a thorough research agenda, and a relatively large portfolio of grants across a mix of implementers and interventions. This portfolio currently includes our work on maternal and newborn health, family planning, tuberculosis, HIV and medical oxygen. Emerging cause areas: this is a broader set of cause areas for which the New Areas team is starting to build its expertise, networks and research agenda, and is making some initial grants. As our work in these areas becomes more mature, they could graduate to become a core cause area. In addition to new cause areas, this portfolio may include work on types of intervention that are new to GiveWell which could have applications across our teams: recent examples include market shaping, health systems strengthening and applications of AI to global health. Incubators: we support other organisations to identify potentially cost-effective interventions and create programs that we would be excited to support in the future (e.g., the Clinton Health Access Initiative’s Incubator ). For example, we funded a program to provide diarrhea treatment to children in Nigeria that we co-designed with CHAI through the Incubator program. Some of this work could fall under the remit of the Cause Prioritization Lead where it overlaps with our emerging cause areas. Team values We think our research team has unique qualities: We care deeply about finding and sharing truth. Truth-seeking is one of our core values . We post our mistakes and we prize our team members who keep our culture of free-flowing feedback strong. We are independent. We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs. We don’t waste time. Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions. Lean research team = huge personal impact. In 2026, our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future. We work well together. Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly. About you The Cause Prioritization lead must have quantitatively-oriented advanced degrees and substantial relevant experience using empirical tools to make rigorous, evidence-based decisions in the real world. Practically, our senior research staff typically has 5-10 years of post-grad work experience prior to joining GiveWell. We're happy to consider applicants who do not have advanced degrees, but we'll look for a commensurate amount of relevant experience. You can review our staff bios here for more practical insight on the backgrounds and experience of our current team. We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality: GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact. You’re unusually curious—you ask lots of questions, and you're willing to interrogate others' work. Your curiosity also extends to your own work, and you aren’t defensive when your research comes under scrutiny. You're a generalist and agile —you are able to get up to speed quickly on new topics and you feel comfortable task-switching. You are comfortable pivoting your focus as we learn new information, and are continuously reassessing promisingness. You're a strong strategic thinker. You find ways to impose structure on a broad and undefined problem (e.g., how should your team prioritise work across a huge range of potential cause areas), you can develop and articulate a vision to your team, and build processes to execute that vision. You're excited by people management. You take other team members' professional development seriously, and can provide a supportive environment whilst also delivering constructive feedback. You're able to quickly hone in on the crux of the argument when assessing other people's work, probing on the most decision-relevant assumptions even in fields where you have limited contextual knowledge. You're entrepreneurial. When you see a gap, you want to fill it, whether that's designing a new program, finding an implementer, or setting up a new kind of funding mechanism. You make bets under uncertainty. You routinely think about and surface the value judgments, background knowledge, and strategic commitments that underlie your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s. You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels. You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks. You love a gnarly problem . You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned. The details Compensation: We set salaries using a location-based tier system. Our pay for this role: NYC or the San Francisco Bay Area: $308,000. All other U.S. locations: $280,000 International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. Benefits : Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Location: GiveWell’s staff work primarily remotely within the U.S. and abroad. This position is eligible to work fully remotely. Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC; or London, UK. We'll cover relocation expenses for candidates who wish to move to any of our physical office locations. International work: We are happy to employ staff internationally on a case-by-case basis. A successful candidate will need to commit to a work schedule that has some overlap with American working hours and the schedules of key coworkers. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Visa Sponsorship: If you want to work in the United States and need a work visa, we’ll do our best to sponsor it (and also cover up to 100% of relocation expenses on a case-by-case basis). Please note that government entities ultimately dictate our ability to sponsor visas. Travel: Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend annual department retreats and twice-annual whole org visit weeks to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting obligations. Miscellaneous details: After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials and interviews. You can see more details about our hiring process on our FAQs page ! We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible. The application deadline for this role is October 30th . You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish all the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 150,000 donors have given over $2.6 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 340,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s recent interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell's Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell's Work Trial Policy .

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're looking for a Firmware Engineer to develop and maintain the embedded software behind the end effectors on our robots and the human-worn devices operators use to interface with them. This role combines firmware development with hardware integration you'll sit at the boundary between hardware and software, bringing up new PCB revisions, writing firmware and drivers, and integrating a wide range of sensors and compute platforms. You'll work closely with electrical and mechanical engineers in a high-paced environment where priorities shift fast and reliability matters. WHAT YOU'LL DO - Develop Embedded Firmware: Write and maintain firmware for embedded microcontrollers, covering sensor sampling, status indication, input handling and power management. - Integrate Sensors & Drivers: Integrate and write drivers for sensors, encoders, LCD screens, IMUs, ToF sensors, LiDARs and cameras, including MIPI and other interfaces. - Work Across Compute Platforms: Integrate device-level firmware with higher-level compute platforms such as ESP32, Raspberry Pi and NVIDIA Jetson, and similar Linux-based platforms. - Implement Communication Interfaces: Design and implement interfaces between hardware subsystems, including I2C, SPI, UART, Ethernet, USB, CAN, EtherCAT and MIPI. - Bring Up New Hardware: Review schematics, debug boards with an oscilloscope/logic analyzer, and resolve integration issues spanning firmware, electrical and mechanical. - Own Calibration & Fault Detection: Develop calibration routines, power-sequencing logic, and fault/status detection for sensors and mechatronic systems. - Support Component Selection: Help with component selection for sensors, MCUs and other hardware building blocks. - Maintain OTA Pipelines: Build and maintain OTA update and image provisioning pipelines for fleets of embedded devices. WHAT WE'RE LOOKING FOR - Degree in Electrical/Computer Engineering, Computer Science, or a related field, with 4+ years' experience in embedded firmware development (C/C++). - Hands-on experience with microcontroller and compute platforms such as ESP32, STM32, Raspberry Pi and NVIDIA Jetson. - Experience integrating and/or writing drivers for sensors and peripherals — encoders, IMUs, ToF sensors, LiDARs, cameras and LCD/display modules. - Solid understanding of embedded communication and sensor interfaces: I2C, SPI, MIPI, UART, Ethernet/TCP-IP, USB, CAN and EtherCAT. - Comfortable bringing up and debugging new hardware revisions, with strong skills using an oscilloscope, logic analyzer and JTAG/SWD. - Experience developing calibration routines and supporting component selection alongside electrical and mechanical engineers. Nice to have - FPGA experience - Experience with camera synchronisation or multi-sensor time-sync - Python skills for tooling, test scripts, or diagnostics - Experience working with formally defined hardware interfaces/contracts shared across teams WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Paris, France About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. À propos d’Anthropic La mission d’Anthropic est de créer des systèmes d’IA fiables, interprétables et orientables. Nous voulons que l'IA soit sûre et bénéfique pour nos utilisateurs et pour la société dans son ensemble. Notre équipe est composée de chercheurs, d'ingénieurs, d'experts politiques et de chefs d'entreprise engagés qui travaillent ensemble pour créer des systèmes d'IA bénéfiques. À propos du poste En tant qu'architecte des solutions partenaires au sein de l'équipe d'IA appliquée d'Anthropic, vous serez architecte avant-vente chargé d'entretenir des relations techniques avec nos intégrateurs de systèmes mondiaux et régionaux (GSI/RSI) et nos partenaires cloud (AWS et GCP). Vous renforcerez nos relations avec les partenaires clés pour accélérer les revenus indirects, permettre leurs pratiques d'IA et exécuter la stratégie GTM à long terme. Responsabilités: Partenariat technique stratégique : soyez un partenaire de réflexion technique pour l'équipe des partenariats Anthropic GTM, en apportant une expertise technique pour mieux comprendre l'environnement des partenaires, en pilotant des programmes stratégiques clés et en identifiant des opportunités pour approfondir leurs compétences techniques. Vous vous intégrez aux équipes techniques de GSI et des partenaires cloud pour mettre en œuvre leurs pratiques en matière d'IA, vous aider à résoudre les problèmes, promouvoir Anthropic au sein de leurs communautés de développeurs et servir de point d'accès pour les problèmes techniques complexes. Développement conjoint de solutions : Collaborer avec des partenaires pour identifier des applications GenAI spécifiques à grande valeur industrielle, développer des solutions conjointes et codifier des architectures de référence / bonnes pratiques afin d’accélérer le temps de déploiement Assistance aux offres clients : Intervenir directement pour débloquer des transactions clients stratégiques où les partenaires sont le principal vecteur de livraison, apportant une expertise technique approfondie et des conseils en architecture de solutions. Écosystème de partenaires et événements : représentez Anthropic lors d'événements partenaires tels que les ateliers clients GSI, les sommets AWS et les conférences sectorielles. Animer ou soutenir des événements, hackathons et sessions de formation technique destinés aux développeurs partenaires, en particulier pour les communautés ayant une expertise technique pointue. Retours sur les produits : validez et recueillez des retours sur les produits et services d'Anthropic, notamment en ce qui concerne les cas d'utilisation et modèles de déploiement des partenaires, et transmettez ces commentaires aux équipes Anthropic concernées afin d'éclairer la feuille de route du produit et la stratégie des partenaires. Profil recherché: Plus de 5 ans d'expérience dans des rôles techniques orientés clients et partenaires, tels que Architecte de Solutions, Ingénieur Commercial, Ingénieur Commercial Partenaires, Responsable de Compte Technique Expérience avérée de partenariats fructueux avec des intégrateurs de systèmes mondiaux et/ou des fournisseurs de services cloud pour résoudre des problèmes techniques complexes, de la conception initiale de la solution à sa mise en œuvre chez le client Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc. Solides compétences en présentation et communication technique avec la capacité de traduire les exigences entre parties prenantes techniques et commerciales Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes L'amour de l'enseignement, du mentorat et de la réussite des autres Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Architect on the Partnerships team at Anthropic, you will be a pre-sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €190.000 — €220.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York; Stockholm; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on automation. You’ll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness. You’ll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient. WHAT YOU'LL WORK ON: Detection Engineering - Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems - Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents - Improve visibility across cloud infrastructure, containers, identity systems, and production services Incident Response - Lead or participate in investigations spanning production infrastructure, cloud environments, and internal systems - Build playbooks and automation that reduce investigation time and improve response consistency - Drive post-incident improvements that eliminate entire classes of future incidents Security Tooling & Automation - Build internal tooling that improves detection, investigation, and response workflows - Leverage LLMs to automate repetitive analysis, accelerate investigations, and surface actionable insights from security telemetry - Improve the collection, quality, and usability of security telemetry across the platform Engineering Partnership - Partner with engineering teams to ensure new systems are observable and secure by default - Help teams instrument services with the telemetry needed for effective detection and response - Drive security improvements that make the platform easier to defend over time YOU MAY BE A FIT IF: - You have experience in detection engineering, incident response, security engineering, or software engineering with a strong security focus - You have strong software engineering skills and experience building production systems. - You’ve investigated security incidents in cloud-native or distributed environments - You’re familiar with modern cloud infrastructure, Kubernetes, Linux, and networking - You’ve built detections using logs, telemetry, behavioral signals, or large-scale event data. - You have strong SQL skills for investigating security events and developing detections - You’re interested in applying AI and LLMs to detection, investigation, and response, and in understanding emerging threats involving AI-powered systems - You have strong written and verbal communication skills NICE-TO-HAVE: - Experience building AI- or LLM-powered security tooling - Experience with SIEM, SOAR, or EDR platforms - Experience with Kubernetes security or large-scale cloud infrastructure - Experience with threat hunting, malware analysis, or digital forensics - Experience contributing to security operations in a high-growth engineering organization

Location: 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. Location- Seattle, Washington An overview of this role As a Strategic Account Executive for the Seattle area, you'll drive GitLab's enterprise growth by helping some of the area's most influential organizations adopt, implement, and expand their use of our AI-powered DevSecOps platform. You'll focus on enterprise accounts, guiding customers through complex digital and DevSecOps transformations and driving pipeline generation that translates into measurable Net ARR and long-term expansion. In this role, you'll act as a key connector between customer stakeholders and GitLab's field organization so GitLab is seen as a trusted, long-term partner across the full sales cycle. In your first year, you'll be expected to build a strong enterprise portfolio across your territory, create repeatable sales motions, and consistently forecast and report on deal progress and account health. What you'll do Drive strategic growth by leading GitLab's enterprise accounts across Seattle, serving as a trusted technology advisor to industry leaders in your territory. Orchestrate winning sales strategies by bringing together Solutions Architects, Customer Success experts, Sales Development, Channel & Alliances, and other technical specialists to deliver transformative, AI-powered DevSecOps solutions. Shape the future of software development by crafting innovative solutions that align GitLab's platform with customers' long-term vision, compliance needs, and business objectives. Build deep, strategic partnerships by mastering your customers' industry landscape, success metrics, and growth trajectories so you can position GitLab as their indispensable technology ally. Design and execute strategic account plans, including opportunity mapping, stakeholder alignment, and multi-threaded engagement, to expand GitLab usage within new and existing strategic accounts. Lead end-to-end customer journeys from initial discovery through evaluation, negotiation, and successful implementation, ensuring a consistent, high-quality experience at every stage of the sales cycle. Champion continuous improvement by contributing to forecasting and pipeline reviews, conducting sophisticated win/loss analyses, and sharing strategic insights that refine our go-to-market approach. Prepare and deliver compelling customer-facing and internal presentations, proposals, and recommendations that clearly communicate value, business outcomes, and the path to long-term partnership with GitLab. What you'll bring Experience driving complex B2B software sales cycles with enterprise customers, ideally in DevSecOps, software development tools, or adjacent SaaS solutions. Background selling into large, enterprise accounts in Seattle, United States, with the ability to build trusted C-level and senior stakeholder relationships across business and technical teams. Knowledge of Seattle enterprise market, including key industries, buying centers, and decision-making dynamics, with the ability to build and nurture a relevant professional network. Ability to drive new business acquisition and expansion within enterprise accounts through consultative, multi-stakeholder sales motions that lead to sustainable, long-term customer partnerships. Experience collaborating with channel and strategic partners to generate pipeline, co-sell, and support successful customer adoption. Effective communication and interpersonal skills, with the ability to lead account strategy, influence internal and external stakeholders, and remain calm under pressure. Ability to work in line with GitLab's values, use GitLab and Salesforce in your daily work, and travel as needed while following company travel policies. About the team The Enterprise Sales team is responsible for driving growth, adoption, and long-term value for GitLab's AI-powered DevSecOps platform with our largest and most strategic customers. As a Strategic Account Executive focused on Seattle, you'll be part of a distributed, all-remote team that works asynchronously across regions and partners closely with GitLab's sales engineering, marketing, and customer success teams. We value transparency, collaboration, and a consultative approach, and we support one another through shared account planning, regular deal reviews, and knowledge sharing focused on enterprise customers across the Seattle region. Remote-Global 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 $124,000 — $186,600 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: Berlin, Germany; London, England About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. What you’ll be doing As part of Wolt’s Platform department (Core Group), you’ll help improve and automate operations for our storage access platform - our real time database abstraction layer solution designed with scale and resiliency in mind . The product you will build enforces best practices by design, abstracts database infrastructure, and supports Multi-Region architecture through data sharding and replication. You join a team of highly skilled engineers in designing, building and optimizing this platform and ensuring smooth developer onboarding, constant improvement and optimization. As an engineer on the Storage access platform team, you’ll work on platform features such as UI for developer teams, storage abstraction layer, database automation, client SDK and proxy, Change Data Capture pipelines, caching and ephemeral storage, Hot & Cold storage management and more. Our humble expectations You’ll be a great fit for this role if you have the following skills and experience: A strong developer-to-developer mindset, with a genuine enjoyment of building for internal customers and treating other engineers as your primary users. Adaptability and strong motivation for working with distributed systems. A data-driven approach to decision-making and a collaborative mindset, with the ability to navigate disagreements constructively and deliver consistently. Autonomy in dynamic, fast-paced environments with frequent change. A product- and platform-oriented approach to engineering challenges. Excellent communication skills, with the ability to engage effectively with stakeholders and cross-functional teams. A collaborative spirit and experience contributing to diverse and inclusive work environments. Technical proficiencies: Expertise in NoSQL databases, particularly Cassandra or DynamoDB. Experience with large-scale distributed systems, emphasizing both velocity and scalability. Familiarity with SRE principles; however, a background in Backend Development is essential. Practical knowledge of Kubernetes, including EKS, as an end user. You don’t need to tick every box, but if you see yourself in many of these points, we’d love to hear from you! What we offer At Wolt, we’re committed to building an environment where engineers can make an impact while enjoying meaningful challenges. As a member of the the team you’ll enjoy: Working on solutions that support millions of users Solving complex problems in performance, reliability and automation A collaborative and inclusive culture that supports your professional and personal well-being We also offer flexible work arrangements, competitive compensation, and ongoing learning opportunities to help you thrive. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Europe Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.   We are seeking a versatile Solution Architect to lead the localized adaptation and system integration of our Global MVNO Core. Your mission is to ensure that our platform (HSS, DRA, PGW) isn't just "connected," but fully optimized for specific local market requirements. In this role, you will bridge the gap between our standardized engineering sprints and the diverse, custom-heavy needs of local MNOs, regulators, and partners. You will provide the "Functional Why and What" to the Core Network Engineers, allowing them to focus on the technical architecture while you ensure all regional mandates and interconnectivity specifications are met. Responsibilities: Acting as the primary conduit between legal/regulatory findings and the Core Network team, translating regional mandates into clear functional requirements and ensuring alignment across stakeholders. Leading requirement discovery workshops with local MNOs, regulators, and internal teams to define scope, priorities, and implementation approach. Comparing local regulatory requirements against existing platform capabilities and collaborating with Core Engineers to identify necessary enhancements, trade-offs, and phased delivery options. Creating high-level technical workflows and flowcharts for regulatory services (e.g., MNP, Lawful Interception) to guide engineering teams and drive consistent implementation patterns. Defining business rules and data exchange requirements for Number Portability (MNP) and specifying functional needs for voice/SMS routing, including edge cases and exception handling. Defining data points and reporting frequencies required by local authorities, ensuring the engineering team builds the necessary data extraction tools and validation checks. Leading the definition of acceptance criteria, test scenarios, and sign-off requirements to ensure that technical delivery successfully satisfies the specific regulatory hurdles of each country. Managing the technical-regulatory checklist for various countries simultaneously, ensuring all dependencies are captured for the development sprint and risks are proactively escalated. Coordinating with local central databases and external partners to ensure interworking specifications meet local quality-of-service mandates and integration readiness milestones. Mentoring and upskilling Solution Analysts and cross-functional delivery teams on best practices for writing user stories, functional specifications, and traceability from regulation to implementation. Providing functional leadership to development teams by clarifying intent, reviewing stories/acceptance criteria, and supporting solution design decisions that balance compliance, scalability, and maintainability. Must haves: 7+ years of experience as a Technical Business Analyst or Solution Architect, preferably within the Telecom or Tech industry. Proven ability to synthesize complex regulatory documents into actionable engineering tasks. Comfortable discussing technical concepts such as SIP, SMS routing, and MNP databases with engineers. Highly skilled in writing clear User Stories, Functional Specs, and managing Jira tickets that an engineering team can execute against. Experience or deep interest in international roaming, interconnectivity, and the nuances of varying global telecom markets. Ability to create clear, structured technical documentation and process flowcharts. Experience coaching and mentoring members of the team Ability to act as a liaison between legal, product, and engineering teams. Good verbal and written communication skills in English. Nice to have: Prior work experience in MVNO or Mobile Core environments. Experience with GSMA standards and eSIM technology. Familiarity with Lawful Interception (LI) and regional compliance reporting. Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it's available: 📍 UK: £80,000 – £115,000 📍 Ireland: €60,000 – €86,250 📍 Western/Northern Europe: €54,800 – €105,225 📍 Southern Europe: €40,800 – €92,738 📍 Central & Eastern Europe: €41,250 – €77,699 📍 South-Eastern Europe / Balkans: €36,195 – €62,159 Your Home Destination: 🛫 Local market rates and cost of living vary. Your specific range within this band depends on where you're based, and there's room to discuss what's right for the person and the role. We'll walk through your range together on your first call with our Talent team so we're aligned for takeoff! 🎒✨

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy. ABOUT THE ROLE You'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must. This role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly. Location/City: San Francisco or NYC WHAT YOU'LL DO - Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work. - Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful. - Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements. - Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy. - Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes. - Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design. WHAT YOU'LL BRING - 5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work. - Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts. - Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections. - Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise. - Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates. - Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production. - A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively. NICE TO HAVE - Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response. - Proficiency using AI tooling to accelerate security investigations and engineering work. - Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads. - Exposure to SOC 2 or ISO 27001 monitoring and evidence automation. - Experience with infrastructure as code such as Terraform or Helm. - Experience securing both SaaS and self-hosted or air-gapped deployments. Annual salary range: $185,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology and analytics platform help individuals optimize recovery, training, and overall health. WHOOP is seeking a Senior Product Designer to join the Growth team. You’ll focus on crafting world-class digital experiences that drive growth outcomes like acquisition, conversion, and engagement, with an emphasis on e-commerce and core purchase journeys. We’re looking for a designer with strong visual fundamentals and a sharp sense for how people make decisions in complex, multi-step flows, someone who can bring clarity to complexity, think in funnels, and use experimentation to continuously improve the experience. RESPONSIBILITIES: - Own and lead the end-to-end design of critical digital experiences that drive acquisition, conversion, and retention, with a focus on ecommerce experiences. - Shape and evolve complex user flows and information architecture to create clear, intuitive paths to conversion as our offerings evolve. - Balance near-term execution with long-term thinking by designing improvements that ladder into an evolving platform architecture, ensuring today’s decisions set up scalable, cohesive experiences over time. - Translate growth opportunities into thoughtful product solutions grounded in user behavior, data insights, and effective design patterns, consistently delivering work with exceptional visual craft. - Work closely with product managers, engineers, and data analysts to shape strategy and drive execution, ensuring high-quality implementation and moving initiatives forward with clarity. - Work within an experimentation-driven team, using data to inform hypotheses, design A/B tests, and iterate quickly while driving measurable improvements in key conversion metrics and balancing speed and craft. - Take ownership of key initiatives by defining problems, shaping direction, and driving work forward with a clear point of view grounded in strong design fundamentals. - Leverage AI and emerging tools to accelerate exploration, prototyping, and iteration, bringing a technically curious mindset and comfort working close to implementation. - Contribute to WHOOP’s design culture by sharing expertise, giving feedback, and helping raise the bar for product quality across the team. QUALIFICATIONS: - Multiple years of experience designing ecommerce, purchase flows, or other transaction-oriented products, with a deep understanding of how users evaluate, decide, and complete actions within digital experiences (not including co-ops, internships, or academic projects). - An exceptional portfolio of shipped digital product work that demonstrates exceptional visual craft, clarity in complex flows, and the ability to deliver production-ready experiences. - Proven experience designing for measurable, conversion-focused outcomes such as acquisition, purchase, or retention, with a strong understanding of funnel optimization, experimentation, and using data to inform and evaluate decisions. - Demonstrated strength in information architecture and designing end-to-end flows that simplify complexity and guide users through multi-step journeys. - Deep proficiency with modern design tools and workflows (Figma, prototyping, component libraries), combined with strong technical fluency and the ability to leverage AI and code-adjacent tools to accelerate design and prototyping, while collaborating closely with engineering to bring ideas to life. - Strong ability to own and drive multiple initiatives simultaneously, influencing cross-functional partners and influencing product direction while elevating team craft. - Clear decision-maker and communicator who can articulate and defend design decisions using strong design principles, heuristics, and data, building alignment across stakeholders. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $155,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: London Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Building AI agents that can assist with any kind of enterprise work is a challenging, open-ended problem. One key piece of solving it is replicating real work environments as realistically as possible - filling them with hard tasks to solve, creating plausible input data, and defining clear rewards for completing the work the right way. We build many of these reinforcement learning (RL) environments, then drop our agents into them to evaluate or train them. In this role, you are responsible for creating these RL environments, running AI agents inside them, and improving both the agents and the environments in the process. The results reach customers, whose feedback feeds back in - and the agent/environment improvement loop continues. Key Responsibilities: There are many open problems in this space. As a Member of Technical Staff, RL Environments, you will: - Build new RL environments targeting different agentic capabilities and industry areas - Train and evaluate agents in those environments - Make all the pieces work together: tasks, data, tool implementations, and verifiers - Work across modeling and product to identify gaps in agent performance, and improve both the agents and the environments - Work with external vendors to create high-quality, expert-built RL environments, and build tools to ensure high task, data, and verifier quality - Automate the discovery of model capability gaps, and systematically measure agent performance during evals and training Qualifications: You may be a good fit if: - You have engineered agents and optimized them for specific industry use cases - You have spent dozens of hours reviewing agent trajectories to pinpoint exact failure points and fix them with model training or harness engineering - You obsess over measuring agentic capabilities and turning that into a repeatable process - You have had many debates about what a good outcome from an AI agent should look like, you translated that into verifier implementations and tuned the reward designs - You have designed and run annotation workflows to surface insights into agent performance and verify data quality - You have built synthetic data pipelines to scale eval and training efforts - You use agents yourself in your daily work, and have stories about how you improved your setup to 10x your productivity - A plus: you have experience with training with RL: scaling, troubleshooting and tuning the environments If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: London; New York; Paris; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: We are looking for world-class research scientists and research engineers to build cutting-edge multilingual AI to serve the world! At Cohere, we care deeply about building technologies that are broadly accessible and useful, regardless of language. As a Member of Technical Staff on the Multilingual team, you'll be at the forefront of advancing language models that serve the world. You’ll push the boundaries of what's possible in natural language processing. This isn't just a technical role—it's an opportunity to contribute to groundbreaking research that will define the next generation of AI. Key Responsibilities: - Lead the design and implementation of scalable solutions to improve multilingual LLM performance across a wide variety of skills – if we need it to make a great multilingual model, you can build it! - Is perfect for someone passionate about languages and AI, with a keen eye for detail and strong technical skills. - Offers the opportunity to contribute to cutting-edge language technology, making a global impact. - Requires a self-starter who can work independently and deliver results efficiently. - Publish research findings and contribute to academic discourse in top-tier venues - Mentor junior team members and shape global best practices in multilingual AI / NLP Qualifications: - PhD in Computer Science, Linguistics, or related field (or equivalent experience) - Proven track record in large-scale data processing and ML pipeline development - Expert in Python and software engineering best practice - Deep understanding of multilingual data challenges and NLP fundamentals - Passion for advancing language technology and making global impact - Strong publication record or demonstrated research potential - Excellent communicator able to bridge technical and research communities Note: - This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. - If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations request form and we will work together to meet your needs. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Berlin, Germany Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a Director, Strategic Sales to join our team of creatives, engineers, marketers, and business leaders. You aren't the typical sales leader, and we aren't the typical design tool company. At Figma, we challenge conventional thinking and expect you to bring that same mindset. With this role, you'll help shape a sales org still early in its growth trajectory. You'll lead a team focused on our largest clients in driving meaningful relationships that add value to the customer experience and revenue to our bottom line. Figma is growing and moving fast. Our next team member will be adaptable, comfortable embracing change, a true team-player, and love working with our growing footprint of Fortune 1000 customers. You won't be alone! Figma has an incredible team and you'll work closely with other groups including Support, Design, Engineering, Product Marketing, and Community. As our Director, Strategic Sales, you will lead a team of Strategic Account Executives in Berlin responsible for continuing the growth of our top tier accounts. What you'll do at Figma: Drive the development of strategic sales roadmaps, prioritizing initiatives, and goals to maximize revenue generation Present and position our products effectively to C-level executives. Participate in customer and prospect meetings, coaching your team through live selling opportunities Monitor market trends, competitive landscapes, and industry developments to inform strategic sales decisions and adapt strategies as needed Collaborate closely with the marketing and product teams to ensure they understand and can service the needs of the market and members in the region Be passionate about career development and coaching. Build a diverse team, create and foster an environment of belonging Lead weekly forecast meetings and mentor the Sales team on strategies to help exceed their goals. Bring strong sales excellence, process and methodology as we expand and scale the business We'd love to hear from you if you have: 7+ years of sales experience (preferably within SaaS) with 3+ years of management experience Experience managing strategic accounts and understanding of our technical and competitive landscape Track record of adapting strategy and execution as business needs evolve Exceptional coaching, writing, discovery and presentation skills with a proven track record of leading successful and consistent sales team Track record of increasing customer satisfaction and building lasting customer relationships At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Canada What the Role Is The modern tech stack has collapsed the distance between designing an experience and shipping it. We're hiring Senior Product Designers to build the next generation of Babylist by leveraging this reality. The Senior Product Designer is the primary owner for user experience, delight, and interaction quality on the team. Equal parts skilled designer, hands-on researcher, and AI-enabled builder, you own how things feel, think broadly about user flows across the full Babylist experience, and hold the bar for whether something is intuitive, beautiful, and emotionally right for the user. You work alongside product managers, engineers, and data partners, but you are the one driving the experience layer and making sure every interaction meets both the functional and emotional needs of our users to drive impactful outcomes for the business. You flex beyond the basics by running research, standing up working prototypes (in hours not days), and contributing to production-quality front-end code ensuring polish is never a trade-off. You help Babylist make the transition into AI-native product development by modeling what an AI-native designer does every day. In this role, you shape how parents discover products, receive gifts, and navigate early parenthood across web and native mobile. These are not casual interactions. Families are making decisions during one of the most meaningful and overwhelming transitions of their lives. The experience has to be easy to use, easy to understand, and worthy of the trust they place in us. Who You Are Craft and experience obsessed . You care deeply about how things feel, not just how they function — the transitions, motion, and details most people can't articulate but everyone responds to. You have a portfolio of shipped consumer product work across web and native mobile that proves it. A systems thinker. You see how a single interaction fits into a broader flow, how flows connect across products, and how the design system enables all of it. You design for coherence, not just screens. Industry aware and pattern fluent. You know the interaction patterns and design conventions that have become table stakes — and when to apply them versus evolve them for what Babylist families actually need. Human-and-data-centered. You plan and run generative and evaluative research yourself, bring concrete qualitative and quantitative evidence into design decisions, and communicate design rationale clearly and persuasively. Product savvy . You know what's worth building, what UX is right for a given context, and what will resonate with users in ways that support the business's goals — making engineers and PMs faster by reducing ambiguity and tightening scope. Critical thinker. You question assumptions and stress-test ideas before committing to them, distinguishing between what the data says and what people want it to say. You approach problems with creativity and multi-dimensional thinking. Feedback fan. You build feedback loops into your process from the start — putting prototypes in front of users early, sharing in-progress work before it's polished, and actively soliciting critique that makes it better. AI-native and a real builder. You move from a rough concept to an interactive prototype in hours, not weeks, and write production frontend code yourself rather than depending on an engineer to translate your mock. You have a portfolio of work built this way. Outcome owner . You instrument your own work, track whether it's moving the right metrics, and make clean iterate/pivot/stop calls based on evidence, not attachment. Adaptable and low ego . You jump in where needed across team boundaries without waiting for permission, and you bring curiosity to ambiguity rather than anxiety. You naturally reach for AI in your work. At Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. How You Will Make An Impact Own the experience layer across a customer journey or product surface end-to-end . Think holistically about user flows, brand expression, information architecture, and interaction patterns across the full Babylist product ecosystem - both web and native app - working with other designers and teams as needed. Design and build experiences that drive outcomes . That means using sound judgement to create experiences that solve real problems, are intuitive under stress, simple when decisions are complex, and delightful when the moment calls for it. Define excellence. Set the bar for quality, delight, and product excellence by demonstrating and teaching your team what great looks and feels like. Eschew perfection for learning that propels the product toward your high bar. Stay deeply connected to users . Talk to customers. Plan and execute research to ground design decisions in how families actually behave. Create fast feedback loops through user testing, Babylist communities, and other channels. Your design decisions are grounded in reality, not assumption. Contribute to and evolve Babylist's design system . Build reusable components, define interaction patterns, and ensure consistency across web and native mobile. Operate with agency. Don't wait for permission — create the conditions for your success and bias toward action, starting before you have the full picture and learning as you go. Let challenges energize you to think creatively and try new things. Build with AI-native workflows . Research synthesis, rapid prototyping, production code, design system evolution, interaction exploration. Show your team what's possible by doing it yourself leveraging AI - then share and teach what’s working. Write production frontend code . Work in the codebase to implement, refine, and polish the experiences you design. Close the gap between what a design looks like in Figma and what a user actually touches - finding and fixing rough edges without being asked. The transitions, the micro-interactions, the loading states, the empty states, the error states, the keyboard behavior. Own all of it. Help democratize design. Support AI-enabled workflows that bring product managers, engineers, and other collaborators into design tools, creating the conditions for non-designers to contribute meaningfully to the experience layer. Act as a consultant and quality bar on that work, not a gatekeeper. Build shared literacy around what good looks like, so the people working alongside you can make better decisions independently. Multiply your team. Be an excellent partner to engineers, product managers, and analysts as your co-builders to move the highest-impact work forward with strong communication and collaboration. Bring tighter problem framing, sharper user insight, and prototypes that make decisions easier to make. Design the repeatable, low-friction systems that let everyone on your team, including you, ship faster without sacrificing quality. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.