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Location: NYC, Remote; San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re seeking a transformational Solutions Engineering leader to lead our Mid Market and Enterprise SE teams in North America. You’ll be a pivotal figure in helping Intercom scale its AI-driven support platform to some of the world’s most well-known brands. This role will shape how we engage with large, complex organizations, defining our go-to-market, building a world-class team, and delivering tangible customer outcomes through innovation and credibility. This role is both strategic and hands-on. You will lead a Solutions Engineering team focused on winning complex deals, creating vertical-specific solution architectures, and building repeatable playbooks. We believe in leaders who are open to be a player and a coach, regardless of seniority. You’ll collaborate closely with Sales, Success, Product, Engineering, and Services to deliver customer transformation through Intercom’s AI-first platform – be it through strategic guidance as a senior leader on the team, or securing deals with your own technical credibility where needed. What will I be doing? Define and evolve the strategic vision and go-to-market (GTM) approach for the Solutions Engineering function. Lead, coach, and scale a high-performing SE team across global regions and core verticals. Operate as a player-coach, actively engaging in strategic deals while developing team capabilities. Support complex, six-figure sales cycles with technical guidance, architecture, demos, and product evaluation support, as well as sales expertise. Serve as a trusted technical advisor and executive point of contact for large customers. Partner closely with Sales, Product, Marketing, and R&D to shape verticalized GTM motions and solution strategy. Champion a customer-obsessed culture across the pre-sales journey – from outbound to implementation. Lead discovery, design, and delivery of tailored technical solutions, including PoCs and business value assessments. Build reusable, scalable solution frameworks, and industry-specific technical assets. Advocate for customer needs and insights internally to influence product roadmap and prioritization. Represent Intercom and the SE function externally through executive meetings and strategic events. Foster strong relationships with C-level stakeholders, translating AI product capabilities into tangible business impact. What skills do I need? 5+ years of pre-sales experience as a Sales Engineer, Solutions Engineer/Architect, or related individual contributor role. Having 3+ years of experience leading technical pre-sales teams, with a proven track record of hiring, mentoring, and managing high-performing teams. Ideally, experience selling AI, data, or highly technical products; or at the very least, deep curiosity and utilization of AI on your day-to-day. Comfortable with ambiguity in environments with an ability to stay focused and thrive under pressure while working with customers to solve their most challenging issues. Have a humble attitude, and a passion to help others, with a willingness to learn whatever it takes to support the team and help our customers thrive. A track record of consistently delivering revenue numbers, producing accurate forecasts, while maintaining a focus on team development and growth Able to travel internationally on average once a month Ability to flex working hours to partner with teams in EMEA and APAC. Excellent communication and presentation skills The OTE salary range for candidates within the San Francisco Bay Area or NYC is $279,000-$333,250. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Global Remote Workplace: Remote ABOUT MATTER LABS Matter Labs builds private settlement infrastructure that lets regulated institutions settle directly with each other without exposing data, ceding control, or waiting days. Global finance moves $4 quadrillion a year on systems designed for paper and telex. The institutions that built them - from clearing houses to exchanges to the world's largest banks, institutions are now actively replacing them. Our core product, Prividium, gives each institution its own private settlement environment (a Prividium Zone) with independent governance and built-in interoperability across counterparties, asset classes, and jurisdictions. Settlement happens through zero-knowledge proofs: one party proves a transaction is valid without revealing any underlying data to the counterparty. The only private settlement infrastructure built on zero-knowledge cryptography. Founded in 2018. Backed by a16z and Union Square Ventures. A fully remote team of around 70 with eight years of production zero-knowledge infrastructure behind us, now pointed at the biggest problem in institutional finance. THE ROLE You will protect ZKsync's core: smart contracts, ZK circuits, and blockchain nodes. Your reviews, threat models, and incident work decide whether vulnerabilities are found by us or by attackers. The role owns internal security reviews of critical components, threat modeling, adversary research, and the security side of incident response, and it carries broad license to spot gaps and fix them beyond any assigned list. It is a hands-on individual contributor role for someone who wants to know how things break and applies that instinct ethically where the stakes are high. WHAT YOU'LL DO - Break things on purpose. Threat-model and review Solidity contracts, blockchain state transition functions in Rust, and other critical systems before an attacker gets the chance. - Own protocol components. Take responsibility for the secure architecture and implementation of the components you adopt, from design review through production. - Track the adversary. Follow hacks, exploits, and new attack vectors across the industry and convert the lessons into concrete improvements in our systems. - Scale security through others. Embed secure-design practice across development teams and influence architecture decisions early, without formal authority. - Use AI on defense. Apply modern AI systems to scale security work, while accounting for attackers using the same tools. - Respond when it counts. Join security investigations and incident response, often under time pressure with incomplete information. WHAT WE LOOK FOR Each of these is a demonstrated capability, shown through work you have done: - A record in security engineering or security research: threat modeling, security-focused code review, or vulnerability research on production systems, with findings you can walk through mechanism by mechanism. - Proficiency in strongly typed languages such as C++, Go, or Scala. Rust and Solidity are our primary languages, and prior experience with them is not required. - Deep grounding in algorithms and data structures, including their computational and memory complexity, with experience implementing them from scratch. - Protocol-level debugging and root-cause analysis on complex distributed systems. - Working knowledge of recent security incidents in the blockchain space and the prevention techniques behind them. - Clear written and spoken English, the company's working language. If you meet most of these and believe you can do this job, apply anyway. NICE TO HAVE Hands-on experience with Solidity smart contracts, ZK circuits, or core blockchain protocols. Public security research, audit reports, bug-bounty results, or CTF history all count as evidence. WORK MODEL & PAY - Competitive base salary. Matter Labs applies no geographic pay discounts. - Performance-based variable compensation with a defined annual target is additional. The plan may pay in ZK tokens or cash. A long-term token incentive is also additional and is paid in ZK tokens, with new-hire grants vesting over four years and a one-year cliff. - Fully Remote. Occasional travel to team gatherings and industry events. - Freedom & ownership culture: no time tracking (where legally applicable), minimum bureaucracy-only results matter.

Задачи: — Ручное тестирование веб-приложений и бэкенд-сервисов — Тестирование интеграций: WhatsApp API, GPS-трекинг, Проверка LLM-фич — Автотесты API и E2E, встраивание в CI/CD — Выстраивание QA-процесса с нуля Требования: — От 4 лет в QA: ручное + автоматизация — REST API, Python (pytest, Playwright) — SQL / PostgreSQL — Linux, Docker, Git, CI/CD — Первые 3–6 месяцев ~60–70% ручного тестирования, дальше сдвиг в автоматизацию. Условия: — 1'000'000 тенге — первый выделенный QA в команде — Офис на территории АУЭС университета в Алматы

Задачи: • Проектировать и разрабатывать production smart contracts; • Реализовывать vault-механики, токенизированные позиции, финансовый учёт, роли и лимиты; • Интегрировать DeFi-протоколы; • Вести полный цикл изменений: от технического дизайна и реализации до deployment и сопровождения; • Писать unit, integration и fork-тесты в Hardhat, fuzz и invariant-тесты в Foundry; • Проводить security review, готовить контракты к аудиту и устранять замечания; • Постепенно подключаться к production-задачам на Rust. Требования: • Опыт разработки и поддержки нетривиальных smart contracts в mainnet или сопоставимой production-среде; • Production-опыт с Solidity и глубокое понимание EVM; • Уверенная работа с Hardhat; • Практическое знание DeFi; • Понимание рисков smart contract security; • Английский для работы с документацией и технического общения; • Интерес к развитию в Rust. Будет плюсом: • Участие в аудитах, bug bounty или security research; • Опыт с инструментами анализа и верификации smart contract; • Знание Yul/assembly, L2, bridges или cross-chain решений; • Опыт с Rust, indexers, simulation или transaction tooling. Условия: • Фиксированная компенсация; • Влияние на архитектуру и технические решения; • Работа с production-контрактами и DeFi-интеграциями; • Высокий уровень ownership; • Возможность расширить профиль от Solidity до Rust и системной разработки.

Location: Remote, Netherlands; Remote, Spain; Remote, United Kingdom 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. An overview of this role As a Senior Professional Services Engineer at GitLab, you'll work directly with customers to deliver installation, migration, training, and advisory services that help them adopt GitLab successfully. You'll lead engagements from single-node Omnibus installs to large reference architectures built with infrastructure as code (IaC) and configuration as code. You'll also guide migrations from other systems to GitLab SaaS or self-managed deployments, and help customers make practical decisions that improve reliability, security, and day-to-day workflows. In this role, you'll work closely with customers and GitLab's product and engineering teams to drive customer success and share feedback that improves GitLab and how we deliver services. You'll manage multiple projects at once, mentor other Professional Services Engineers, and help streamline how we deliver consistent outcomes in a remote, largely asynchronous environment. Some examples of our projects: Designing and delivering GitLab installations and reference architectures using tools like Terraform and Ansible across major cloud providers Leading migrations to GitLab SaaS or self-managed GitLab, and turning customer feedback into actionable improvements for GitLab's product and engineering teams What you’ll do Deliver GitLab Professional Services engagements, including installation, migration, training, and advisory services across GitLab capabilities. Plan and execute deployments ranging from single-node Omnibus installations to large reference architectures using Infrastructure as Code and Configuration as Code practices. Lead migrations from multiple source systems to GitLab SaaS or self-managed GitLab, helping customers adopt secure, reliable workflows. Partner with Engagement Managers and Project Managers to improve delivery consistency, remove friction, and continuously refine delivery processes. Serve as a trusted technical advisor for customers, translating goals and constraints into practical implementation plans and clear next steps. Interface with GitLab's product and engineering teams to unblock customer outcomes and share feedback that helps improve GitLab features and services. Mentor Associate and Intermediate Professional Services Engineers, providing technical guidance, helping remove blockers, and supporting increased autonomy. Manage and deliver multiple customer engagements at once, either as the primary engineer or as a lead providing oversight and direction to other engineers. What you’ll bring Professional exposure with one or more infrastructure as code or configuration as code technologies such as Terraform, Ansible, Packer, Puppet, Chef or Kubernetes. Professional exposure with two or more cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. Experience using, deploying, or configuring GitLab, including a solid understanding of Git and source control workflows. Strong grounding in Security / AI technologies Experience delivering customer-facing services such as installation, migration, training, and advisory engagements across GitLab's feature set. Proven ability to independently manage one or more projects and to lead and provide direction to other Professional Services Engineers on complex engagements. Strong communication skills in English, written and verbal, with the ability to provide clear status updates and build consensus with peers and customers in a remote, largely asynchronous environment. Demonstrated ability to take a solution-oriented approach by identifying root causes, proposing options and tradeoffs, and driving issues to resolution while balancing multiple customer engagements in a fast-paced environment. Demonstrated ability to work effectively in a fully remote organization by communicating clearly in writing, documenting decisions, collaborating asynchronously across time zones, and working in ways consistent with GitLab's values. About the team Senior Professional Services Engineers are part of GitLab's Professional Services team. We partner closely with Engagement Managers and Project Managers to deliver consistent outcomes, and we work with GitLab's product and engineering teams to share customer feedback and improve GitLab. Professional Services operates in a fully remote and largely asynchronous environment, collaborating across regions and time zones. The team's challenge is to support customers with a wide range of architectures and deployment models while maintaining high-quality delivery and setting customers up for long-term success. Remote-Global How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco; Palo Alto ABOUT PERPLEXITY AI In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between both product and infrastructure advancements in our technology. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. ABOUT THE ROLE Perplexity is looking for a deeply technical software engineer to own and evolve our model serving platform, which is responsible for connecting our products and research systems with our inference layers. This mission-critical system gives teams one fast, reliable interface across providers. You will work at the intersection of distributed systems, AI products, and infrastructure. You will make it dramatically easier for teams across Perplexity to adopt new models, run rigorous experiments, and ship dependable products. The ideal candidate combines sound technical judgment forged in production systems with active curiosity around the rapidly changing capabilities and failure modes of frontier models. You will design core abstractions, lead high-conviction technical decisions, and write production Rust and Python for a service that serves hundreds of millions of model requests per day. REQUIRED QUALIFICATIONS - 5+ years of experience building and shipping large-scale systems and services with high reliability, availability, and performance. - Strong software engineering craft, with special care for developer experience and designing future-proof systems that can evolve along with a rapidly advancing AI landscape. - Proficiency with a general-purpose backend language (Python, Rust, C++, Go) and cloud infrastructure (AWS, Kubernetes). - BS, MS, or PhD in Computer Science, Engineering, or related fields (or equivalent experience).

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team. Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth. Key responsibilities Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control Develop evaluation frameworks for agent behavior, and run them in development and in production Instrument model and tool calls in production, and build the observability and measurement that ties agent actions to pipeline and revenue Ship MCP servers, agent skills, and web applications that connect to systems like our CRM, communication tools, and data warehouse Set the technical direction for how we build, evaluate, and operate agents across the team Architect shared codebases that builders from across go-to-market contribute to, setting the conventions and review practices that keep quality high Work directly with sellers to ground agent designs in real workflows, and iterate based on what you observe Identify repeatable patterns and contribute insights back to Anthropic's Product and Engineering teams Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques Minimum qualifications Strong programming skills in Python or TypeScript, with experience building and operating production applications Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks Experience using evals and transcript analysis to find and fix real problems in an LLM system Working fluency with data, including SQL Ability to navigate ambiguity and ship without a spec, finding simple solutions to complex problems Passion for advancing safe, beneficial AI, and care for the people who use what you build Preferred qualifications 8+ years in roles such as software engineer, ML engineer, or forward deployed engineer. Former technical founders are encouraged to apply Experience with the Claude Code and the Claude Agent SDK Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation intelligence) or time working closely with a revenue team Experience growing a codebase that many people contribute to, inner-source or open-source Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis Exceptional communication skills to convey technical concepts to non-technical partners with low ego Representative projects (Illustrative of the kind of work, not a project list.) Build an agent that takes a routine sales workflow from first signal to a drafted, human-reviewed action Stand up the eval suite for an agent: seed scenarios, scoring rubrics, and regression runs on every change Ship an MCP server that gives sellers and their agents governed access to a core revenue system Design a shared repository where go-to-market builders publish agents and skills, with the tests and review rules that keep it healthy Build a predictive model that explains itself, so an agent can tell a seller why it suggests an action The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote We are growing our support team at ClickHouse, and we're looking for a Senior Technical Customer Support Engineer, Federal, to serve the specific needs of our U.S. public sector customers, federal agencies, and the contractors and integrators who support them. This role sits within our global Support Engineering team but has a dedicated focus to deliver the same excellent, technically deep support our commercial customers rely on, while meeting the compliance, security, and operational constraints that federal environments require. You'll be the primary technical point of contact for customers operating ClickHouse in government-authorized environments, triaging and resolving support cases, guiding customers through secure deployment and operational best practices, and partnering closely with our Product, Engineering, and Go-To-Market teams to make sure ClickHouse's platform meets the bar federal customers require. This is a U.S. Persons-only role. Because of the export-control status of the data, systems, and customer environments involved, all candidates must independently qualify as U.S. Persons before being considered. This applies regardless of visa sponsorship status, work authorization, or physical location within the U.S. Beyond this requirement, you'll also need to be prepared to work within the access, communication, and documentation controls that federal engagements demand. What you will be doing: - Serving as the primary technical support contact for ClickHouse's U.S. federal and public-sector customers, across cases, chat, Slack, and meetings, consistent with applicable federal communication and data-handling requirements - Developing solutions based on ClickHouse Cloud and ClickHouse open-source, and sharing them with federal customers and internal teams via documentation, knowledge base articles, and internal runbooks tailored to government deployment patterns - Guiding customers through deployment, configuration, and troubleshooting within government-authorized environments, including AWS GovCloud-adjacent infrastructure where applicable - Working closely with our global Support Services, Engineering, Security/Compliance, Product Management, and Go-To-Market teams to represent the requirements of federal customers and help prioritize the roadmap accordingly - Supporting technical aspects of federal POCs, security questionnaires, and Authority to Operate (ATO)-adjacent evaluations in partnership with Go-To-Market and Security teams And of course: - You will deliver excellent customer service as a technical engineer and representative of ClickHouse to our federal customer base. Our Support Engineers provide professional response, on-call coverage, and guidance within required SLAs on technical cases opened via the ticketing system, email, Slack, chat, and/or phone - You will build strong, trusted relationships with colleagues, customers, and partners, including government program stakeholders and the systems integrators and resellers who support them What you bring along: - Required: U.S. Person status, as defined above and verified during the interview process prior to any offer - 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, and 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 - Proven experience developing familiarity with the operational and compliance realities of federal IT environments (e.g., FedRAMP, DOD IL, AWS GovCloud, air-gapped or sovereign-cloud deployments) - Strong communication skills, sound judgment around sensitive data handling - A mindset of teamwork, empathy, and solving challenging problems under the additional rigor that government customers require - You are self-driven, curious, and eager to continuously learn and grow Bonus points: - Prior experience supporting federal, state/local/education (SLED), or other public-sector customers in a technical support, TAM, or solutions engineering capacity - Experience with FedRAMP-authorized services, AWS GovCloud, Azure Government, or equivalent sovereign/air-gapped cloud environments - An active or recently active U.S. government security clearance (not required, but a plus for future-facing work with more sensitive agencies) - Experience with ClickHouse - Experience with OSS and open-source technologies, as a user, community member, or contributor - 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, CA • New York, NY • United States 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! Figma is building its founding Forward Deployed Engineering team to solve the complex, real-world challenges that emerge when bringing Figma’s products into large-scale enterprise environments and looking for founding Forward Deployed Engineers. As a Forward Deployed Engineer, you’ll embed directly with strategic customers, working across their codebases, design systems, developer environments, and workflows to make Figma’s products successful within their unique technical constraints. You’ll tackle the hardest adoption challenges hands-on, from complex frontend stacks and legacy systems to security and access requirements, while building trusted partnerships with customers’ senior engineering teams. This is a senior/staff-level engineering role within Product and Engineering, not a sales or services function. You’ll work directly in customer environments when needed, using the minimum access required. Your goal is smooth adoption by the customer’s product and engineering teams, which means making complex workflows work simply in their environment and solving the underlying problems You’ll do that hands-on, often by writing Figma product code, then turn what you learn into a reusable path for future customers instead of taking permanent ownership of the customer’s codebase. Working closely with Figma’s Product, Engineering, Sales, and Customer Experience teams, you’ll help shape both the product and how this brand-new function works and scales. The role is highly collaborative, deeply customer-facing, and built for engineers who thrive in ambiguity, take end-to-end ownership, and want to solve the highest-impact problems at the intersection of product, engineering, and customer needs. This role includes periodic travel to work alongside strategic customers in person. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Make an enterprise design system agent-ready so AI tools generate faithful, on-system code: fix tokens, naming, and guidelines, wire up Code Connect, and run evals Get Make Local, Code Layers, and our newest products working in a customer’s real environment, writing code, config, agent skills, and guideline files against their systems and ours Run technical discovery: understand a customer's dev environment, toolchain, and constraints, then scope the fastest credible path to value, in addition to setting the customer up for long term success Debug hard, unfamiliar integration problems (git workflows, CI, dev-environment setup, non-standard stacks) Build LLM-powered workflows: MCP setup, agent skills, and prompt engineering tuned to each customer’s context Turn one-off solutions into reusable playbooks and product feedback, so patterns you solve once become self-serve or shipped product Bring  learnings on friction back to Figma's Product and Engineering teams, influence what gets built next, and often build it We'd love to hear from you if you have: 5+ years shipping production software end-to-end, with meaningful time embedded with customers or partner teams Excellent customer-facing communication and technical partnership skills, with the ability to build trust with senior engineers and translate customer needs into actionable product and engineering solutions Strong engineering fundamentals and adaptability, with the ability to quickly navigate unfamiliar codebases, languages, and technical environments to deliver production-ready solutions Hands-on experience with design systems and design-to-code workflows, including component libraries, tokens, documentation, and the tooling that connects design artifacts to production code Proficiency in TypeScript/JavaScript or Python, including demonstrated fluency with agentic coding tools (e.g., MCP, agent orchestration). You have hands-on experience integrating APIs and SDKs, troubleshooting toolchains and CI environments, and navigating enterprise requirements such as SSO, security reviews, access controls, data residency, and compliance frameworks Comfort owning ambiguous technical problems end to end, identifying patterns across customer engagements, and turning field learning into reusable product improvements While it's not required, it's an added plus if you also have: Background in forward-deployed engineering, solutions engineering, professional services, developer experience, or a similar customer-facing technical role Familiarity with developer tools, design-to-code workflows, or AI/LLM products, including tools such as Code Connect, Storybook, Style Dictionary, or comparable technologies Proven ability to partner cross-functionally with Sales, Customer Experience, Solutions Architecture, or related teams to deliver complex enterprise engagements 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. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD 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.

Задачи: — Разработка и поддержка backend-сервисов на языке Go — Участие в проектировании архитектуры и оптимизации производительности Требования: — Опыт разработки на Go — Знание принципов построения распределённых систем — Опыт работы с базами данных Условия: — Релокация на Кипр (город Лимассол) — Работа в финтех-компании — Полный рабочий день в офисе Компания предлагает поддержку при переезде и адаптации на новом месте.

Location: Canada; United States Role overview: We are seeking a Satellite Bus Flight Software System Engineer to lead or support the system level definition, architecture, integration, verification, and operational readiness of flight software for current and next generation spacecraft platforms for current and next-generation remote sensing & communications satellite programs. As part of the Systems Engineering organization of a leading spacecraft prime manufacturer, the successful candidate will serve as a key technical authority at the intersection of spacecraft architecture, platform subsystems, embedded flight software, avionics, mission operations, and verification and validation. The role is responsible for ensuring that spacecraft bus flight software correctly implements the platform and payload functional, performance, autonomy, safety, reliability, and operational requirements. The engineer will guide the flight software solution throughout the full spacecraft lifecycle, from early concept and architecture definition through detailed design, software development, FlatSat integration, spacecraft level verification, launch preparation, commissioning, and on-orbit support. This is a systems engineering and technical leadership role. The incumbent will not necessarily develop every flight software component directly but must possess sufficient embedded software depth to critically assess architectures, designs, implementation approaches, interfaces, test coverage, and anomaly resolution plans. Tasks summary: Architecture Concept & Requirements • Gather & translate functional, performance, safety and security requirements from mission stakeholders. • Map requirements to software modules, allocate to execution threads. • Collaborate with cyber-security to embed resilience and security by design. • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Software Architecture, Design & Development • Define FSW architecture (RTOS, Initialization, PUS services, autonomy, HK, fault management, payload interfaces…). • Define FDIR algorithms, isolation logic, recovery actions, safe-mode sequencing, redundancy management. • Perform or guide integration of FDIR logic into FSW. • Produce and maintain Interface Control Documents (ICDs) for payload and platform subsystems and ground-segment interfaces. • Support Satellite Reference Database development and validation and DSS. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Liaise with Payload, Platform subsystems, Ground‑Segment and Mission Operations teams to integrate and resolve integration issues early. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop and support Flight Software Verification Plan and integration tests, SIL (with DSS) & HIL, fault‑injection, performance and security testing. • Support or oversee verification & test automation framework deployment, test case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder and implement lessons-learned • Contribute to Client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management • Ensure all software artefacts (source code, builds, test scripts, configuration files), documentation and deliverables are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support • Support procedure developments for Satellite Modes. • Support and analyse on‑orbit telemetry, update filter parameters, and generate SW updates as needed. • Support SOOH development and associated operator training. Required Qualifications: • B.Sc. in Electrical engineering, Aerospace, Computer Science, Embedded Systems with 10 + years of previous fault-tolerant embedded systems on LEO/MEO/GEO missions. • Experience working with CCSDS, ECSS, PUS services. • Experience working with MIL-1553, SpaceWire, RS422/485, CAN, Ethernet. • Experience in real-time cores and/or embedded Linux, Auto-coding. • Strong understanding of aerospace system engineering fundamentals. • Hands-on individual who can support systems integration processes and capability. to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Ukraine; Azerbaijan About the Role OneDome is a UK-based property technology company on a mission to make buying, selling and financing a home simpler and faster. Our platform connects homebuyers, estate agents, conveyancers and mortgage brokers into a single digital journey, and it is scaling quickly. We hold a great deal of data on how customers move through buying, financing and conveyancing, and very little of it can currently be queried in one place. This is our first dedicated data engineering role. You will own our data warehouse and the pipelines that feed it, decide what the data platform looks like, and become the person the business relies on for answers. What You'll Do Develop and maintain our AWS-based data platform for a quickly scaling business. Build and own our data warehouse and the pipelines that feed it from product, CRM and third-party systems. Model data for analytics and reporting so analysts, product and leadership can rely on it, and keep those models tested and documented. Contribute to architecture decisions and technical direction across the platform. Ensure data quality, performance and scalability. Own data protection obligations within our pipelines, including retention, deletion and subject access requests. Collaborate with product managers, analysts and engineers across distributed teams to deliver high-impact solutions. Leverage AI-powered engineering tools to accelerate delivery while maintaining high standards of quality, security and operational excellence. Basic Qualifications 5+ years of professional experience building and running production data pipelines end to end. Data warehouse design and modelling, including dimensional modelling, slowly changing dimensions, incremental and full-refresh builds, and schemas analysts can query unaided. Hands-on production experience with Redshift, including loading strategies, distribution and sort key design, workload management, query tuning and cost control. An equivalent columnar warehouse (Snowflake, BigQuery) is acceptable with a credible transfer story. Experience running dbt in production, including testing, documentation and CI. Strong SQL, including tuning analytical queries, and strong Python. Experience with relational and NoSQL databases, including Postgres (with JSONB) and DynamoDB or equivalent, and real experience getting analytical value out of NoSQL stores through change data capture, export patterns, denormalisation and schema drift. Hands-on experience designing, deploying and operating data services on AWS, including S3, Glue, Athena, Lambda, EventBridge, Kinesis/Firehose, RDS, IAM and CloudWatch. Experience with infrastructure automation and observability, including infrastructure as code (Terraform). Experience handling regulated personal data in the UK, including GDPR, retention and subject access requests. Comfortable using AI coding assistants (e.g. Claude Code, Cursor, GitHub Copilot) as part of the development workflow. Strong communication skills in English. Russian is a plus. Preferred Qualifications Microsoft Dynamics 365 or Dataverse data extraction (Synapse Link, Dataverse API). Mortgage, property or financial services domain experience. Experience with BI tooling such as Looker or Metabase. Familiarity with managed ingestion tools such as Fivetran or Airbyte. AWS certification. What We Offer Challenging tasks with a great opportunity to level up your skills. 20 working days of paid vacation, with additional days off following the UK holiday calendar. Working hours of 9:00-17:00 London time. An international team spread across Ukraine and Azerbaijan. Ready to Build? OneDome is small enough that your work is visible and large enough that it matters. This is the first data role here, so the warehouse, the models and the standards will be yours to set. If you want to help reshape one of the biggest transactions in people's lives, we would love to hear from you. Salary: $4,500 – $5,500

Location: South Korea Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Strong English and Korean communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: South Korea Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - GTM technical expert: Design and demo Sierra’s incredible Agent product, offering technical solutions to solve for our customer’s needs, and answering technical questions about our solutions. - Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy. - Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution. WHAT YOU'LL BRING - 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales. - Past experience in demo building, and presenting, and working with customers or clients in the GTM function. - Experience in relationship-building with potential customers, including executives and technical leaders. - Experience in leading the sales process with Enterprise customers. - Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience - Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]." - Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience. - Strong English and Korean written and verbal communication EVEN BETTER... - Experience translating code, technical logic and user requirements to product and engineering requirements. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: US Remote Workplace: Remote Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Location: Remote (US East Coast/Central) As our team and customer base grow, we need to make sure our security efforts scale accordingly. For that, we are looking to expand the Synthesia Infosec team by onboarding an additional Security Engineer (L6)! You will report to the Head of Security and work within the Security Operations team. KEY RESPONSIBILITIES: - Build and own deeply technical security improvements across our Cloud Infrastructure(s) and associated territory (AWS/GCP, Kubernetes, CI/CD), including shipping production changes yourself when needed. - Design, implement, and iterate on detection and response capabilities (SIEM, EDR/MDR, cloud-native detections, CNAPP) with an engineer’s bias for automation, reliability, and measurable outcomes. - Hunt, investigate, and respond to security alerts and suspicious activity end-to-end (triage → containment → eradication → recovery → learnings), including writing tooling and detection logic to prevent recurrence. - Build internal security tooling and automations (IaC, scripts, integrations) that reduce toil and raise the security bar by default. EXPERIENCE & QUALIFICATIONS: - You’re a deeply technical security engineer with a builder/hacker mindset, able to go from idea → prototype → production and comfortable making changes directly in Cloud Infra / DevOps systems. - You have 5+ years of hands-on security engineering experience, ideally in a cloud-first SaaS environment. - Have worked in a fast-growing startup, scale-up and/or SaaS company WE WOULD EXPECT YOU TO HAVE EXPERIENCE IN: - Cloud security engineering in AWS and/or GCP, with the ability to implement improvements hands-on (IAM, networking, compute, storage, logging). - Kubernetes security (cluster hardening, workload isolation, runtime security, policy controls) and container ecosystems. - DevOps fundamentals: CI/CD security, secrets management, artifact integrity, and secure-by-default platform patterns. - Incident response and investigation, including creating repeatable playbooks and automating response where appropriate. - Strong programming/scripting ability (Python or similar) plus comfort with infrastructure-as-code (e.g., Terraform) and automation. - Serious agent coding - ideally you’re on the bleeding edge in the space. - Endpoint security tooling, such as CrowdStrike Bonus points for: - Hands on experience with any/all of: Hunters, Wiz, Falcon, Tracebit, Torii, Okta, Google Workspace, StrongDM, Github, StepSecurity, Dope Security - Any relevant Information Security certification, e.g AWS Certified Security, GIAC GWEB, OSCP, or CSSLP. THE GOOD STUFF.. In addition to being a part of a great team, working in a fun and innovative environment, we offer: - A competitive salary + stock options in our fast-growing Series E startup - Remote-friendly environment - 100% Medical, Dental & Vision - 401k Plan - Paid parental leave - 25 days of annual leave + Public holidays + paid sick leave - Fun culture with regular socials - A generous referral scheme - A brand new computer + monitor - Budget and support for conference travel, community events, and content production

Location: United States Workplace: Remote The Security Team is responsible for providing key security capabilities covering application, cloud and enterprise security, incident response, detection and GRC. Our team is looking for an experienced, hands-on security practitioner, who will drive the adoption of modern security processes and tooling, with focus on supporting our detection and incident response capabilities.   What you will do: - Develop processes, tooling and automation to scale incident management response and mitigate risks to the business - Collaborate with other security functions, engineering, product, support, business operations to identify appropriate detection use cases and automation - Apply a threat modeling centric approach to incident detection and response - Maintain security logging platform - Stay up to date with the latest threats, attack vectors to improve our detection mechanisms and attack surface management - Handle information security events and incidents across the ClickHouse products and services What you bring along: - Background in product security / red teaming / penetration testing / threat modeling, combined with incident detection and response experience - Strong knowledge of and experience with one or more cloud service providers (e.g. AWS, GCP, Azure) - Excellent written and verbal communication skills - Experience securing large-scale customer-facing cloud infrastructures - Significant development and automation experience; preference for Golang and Python Bonus Points: - BS, MS, or PhD in Computer Science or related field - Previous contributions to open source projects - Security or cloud related certifications (AWS, GCP, Azure) 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: United States Workplace: Remote The Security Team is responsible for providing key security capabilities covering application, cloud and enterprise security, incident response, detection and GRC. Our team is looking for an experienced, hands-on security practitioner, who will drive the adoption of modern security processes and tooling, with focus on supporting our detection and incident response capabilities.   What you will do: - Develop processes, tooling and automation to scale incident management response and mitigate risks to the business - Collaborate with other security functions, engineering, product, support, business operations to identify appropriate detection use cases and automation - Apply a threat modeling centric approach to incident detection and response - Maintain security logging platform - Stay up to date with the latest threats, attack vectors to improve our detection mechanisms and attack surface management - Handle information security events and incidents across the ClickHouse products and services What you bring along: - Background in product security / red teaming / penetration testing / threat modeling, combined with incident detection and response experience - Strong knowledge of and experience with one or more cloud service providers (e.g. AWS, GCP, Azure) - Excellent written and verbal communication skills - Experience securing large-scale customer-facing cloud infrastructures - Significant development and automation experience; preference for Golang and Python Bonus Points: - BS, MS, or PhD in Computer Science or related field - Previous contributions to open source projects - Security or cloud related certifications (AWS, GCP, Azure)   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.