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Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. WHAT YOU'LL DO - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off WHAT YOU'LL NEED - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company EVEN BETTER IF YOU HAVE - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Sydney Workplace: Remote ClickHouse is on a mission to grow a vibrant user community and establish ourselves as a cloud-first company. We are seeking an experienced Solutions Architect to help expand our presence in Australia by empowering customers and users to unlock the full potential of ClickHouse. This is an exciting opportunity to join after the general availability of our serverless Cloud product and play a pivotal role in defining how it is positioned and adopted in the market. Our ideal candidate is a technical thought leader with strong customer facing skills, capable of bridging business objectives with technical solutions. In this role, you’ll serve as a trusted advisor, guiding clients on how to leverage ClickHouse for real time analytics, cloud native applications, and enterprise-scale workloads. WHAT YOU’LL BE DOING - Translate complex business and technical requirements into scalable solution designs, covering architecture, migrations, workflows, and data visualization. - Work directly with stakeholders across every level; from the C-suite to data scientists and developers, to enable customer success. - Evangelize ClickHouse’s vision and capabilities, driving adoption and securing strategic commitments. - Apply a solution based approach to demonstrate and deliver customer value. - Lead new initiatives that help customers transform raw data into actionable insights aligned with their business outcomes. WHAT YOU BRING - 5+ of experience with open source software business models; strong proficiency in cloud and infrastructure technologies. - Hands on experience with scalable, highly available distributed systems. - Proven ability to create proofs of concept (POCs) and reference implementations that drive customer adoption. BONUS POINTS FOR - Experience deploying applications or selling into environments with major cloud providers (AWS, GCP, Azure). - Familiarity with database programming and data modeling.   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 eligible team member who joins our company receives equity. - 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: Minsk, Belarus As part of our continued growth, Neo Group is recruiting on behalf of our partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a CRM Lead of Bonus & Gamification to join the partner's CRM Team. Role overview Unlock your full potential as a CRM Lead of Bonus & Gamification . Neo Group is a B2B services company, recruiting on behalf of our partners. In this role, you will manage and optimize bonus and loyalty mechanics in Smartico, from setup and launch to ongoing performance. You won't just be configuring mechanics; you will be leading a team of specialists, working closely with Product, Tech, and CRM teams to make sure mechanics, triggers, and rewards work smoothly, tracking key performance metrics to identify opportunities for improvement, and maintaining clear documentation of configurations and logic. If you have hands-on Smartico experience and a data-driven mindset, we would love to hear from you! What we want you to do: Team Leadership: Lead, mentor and develop a team of specialists responsible for bonus and gamification mechanics, setting priorities, distributing tasks and ensuring high-quality delivery. Product & Bonus Mechanics Setup: Configure, deploy, and manage product-integrated bonus and loyalty mechanics (tournaments, mini-games, wheel of fortune, gamification levels, etc.). VIP Promotions & Special Offers: Plan and launch exclusive promotions, personalized offers, and special campaigns for the VIP and Super VIP segments, in collaboration with VIP managers and CRM. Campaign Planning & Calculation: Plan promotional campaigns and calculate their economics in advance (bonus cost, expected payout, ROI, and EV), ensuring mechanics are profitable and aligned with business goals. End-to-End Loyalty Operations: Oversee the full lifecycle of gamification mechanics built into the product via Smartico, ensuring proper trigger setups and reward delivery. Coordinate with Product & Tech: Work closely with Product, Tech, and CRM teams to ensure seamless integration, smooth event tracking, and scalability of Smartico mechanics. Analyze & Optimize Performance: Track key metrics (engagement, participation, redemption rates, retention, LTV) and propose data-driven improvements to active mechanics. Maintain Documentation: Keep detailed documentation of Smartico configurations, logic, triggers, and payload requirements to ensure transparency and replicability. Requirements Team Management Experience: Proven experience leading a team (setting goals, managing workload, coaching, and performance reviews), ideally in CRM or marketing. Hands-on Smartico Experience: Proven hands-on experience in configuring and launching bonus mechanics, gamification, and loyalty systems via Smartico is a must. VIP Segment Experience: Experience working with VIP and high-value customer segments, including planning and running special promotions, personalized bonuses, and retention campaigns for them. VIP Program & Loyalty Level Design: Experience designing tiered VIP programs and loyalty levels, including defining level criteria, benefits, and progression logic. Bonus & Gamification Expertise: Deep understanding of product-integrated bonus mechanics, bonus engines, and user engagement tools. Campaign Planning & Financial Modeling: Strong skills in planning promo campaigns and calculating their cost, risks, and expected return (bonus conditions, margin, bonus abuse risks). Cross-Team Collaboration: Proven track record of working closely with Product, Tech, CRM, BI, and VIP teams. Analytical Mindset: Ability to interpret performance metrics and optimize promo/gamification performance based on data. Structured & Detail-Oriented: Strong focus on campaign integrity, QA testing of mechanics, and managing complex multi-trigger setups. Benefits

Задачи: — Проектирование, развёртывание и поддержка инфраструктуры для микросервисных приложений (on‑prem и/или облако); — Построение и развитие CI/CD-процессов (от сборки до доставки в production); — Контейнеризация и оркестрация сервисов (Docker, Kubernetes); — Настройка и поддержка систем мониторинга, логирования и алёртинга; — Обеспечение отказоустойчивости, масштабируемости и безопасности инфраструктуры; — Участие в архитектурных решениях по инфраструктуре совместно с разработчиками; — Автоматизация рутинных операций (infrastructure as code, скрипты, tooling); — Взаимодействие с командами разработки и бизнеса при запуске новых сервисов и релизов. Требования: — Опыт коммерческой работы DevOps/SRE/Infra‑инженером от 3–4 лет; — Уверенное владение Linux и сетевыми технологиями (TCP/IP, HTTP, DNS, SSL/TLS); — Опыт работы с контейнерами и оркестраторами: Docker, Kubernetes (k8s); — Опыт настройки и эксплуатации веб‑инфраструктуры: Nginx, балансировка нагрузки, reverse proxy; — Понимание и практика CI/CD (GitLab CI / Jenkins); — Опыт работы с реляционными и NoSQL БД (например, PostgreSQL, MongoDB, Redis); — Уверенная работа с Git, умение выстраивать процессы вокруг него; — Опыт работы с системами очередей/стриминга (RabbitMQ, Kafka или аналоги); — Умение писать скрипты для автоматизации (bash, Python или аналогичный язык). Будет плюсом: — Опыт работы с в области создания ИИ решений; — Опыт работы с публичными облаками; — Знание подходов trunk based development, feature toggles, blue‑green / canary deployments; — Опыт настройки инструментов мониторинга и логирования (Prometheus, Grafana, ELK/EFK и т.п.); — Базовые знания языков программирования (Python/Go) для написания сервисных утилит. Условия: — Официальное оформление по ТК РФ; — Конкурентоспособная "белая" зарплата + годовой бонус; — Удаленная работа на территории РФ; — Расширенный социальный пакет (ДМС (со стоматологией), льготы и компенсации предусмотренные коллективным договором для сотрудника и семьи, тренажерный зал с сауной в офисе и пр.); — Ежегодная индексация ЗП; — Оплачиваемые компанией курсы, обучение в академии Росатома, профессиональные подкасты, книги, вебинары и прочее; — Пятидневный режим работы.

Location: New York, San Francisco Workplace: OnSite Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.   Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.   We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.   We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us! Tempo is building the future of enterprise payments on-chain, and we need someone to own the success of our partners after they sign. As our Technical Account Manager, you’ll manage a book of enterprise customers as their primary point of contact—from onboarding and integration through launch and ongoing growth. This is a founding role. You’ll build trusted relationships with your partners while defining the playbooks, processes, and feedback loops that turn early design partners into long-term anchors of our ecosystem. WHAT YOU’LL DO Account Management - Own a portfolio of partners as their primary post-sales contact, accountable for relationship health, technical success, and ongoing engagement - Build deep knowledge of each partner’s use case, architecture, and business goals, translating them into clear account plans and success milestones - Lead regular check-ins and business reviews to track progress, address risks, and identify opportunities for deeper adoption alongside the Partnerships team Onboarding & Technical Success - Own the handoff from GTM and guide partners through onboarding, integration, and production launch - Work with partner engineering teams to define integration scope, resolve blockers, and establish production readiness - Serve as the primary escalation point for technical and operational issues, coordinating with engineering and product and keeping partners informed through resolution - Provide ongoing technical guidance as partners scale their implementations and adopt new Tempo capabilities Ecosystem & Scale - Develop repeatable playbooks for onboarding, account management, and integration support across enterprise and ecosystem segments - Establish account health metrics and success frameworks to proactively identify adoption gaps and partner risks - Act as the voice of your partners internally, translating feedback into actionable product, engineering, and documentation improvements ABOUT YOU - Proven experience in technical account management, technical customer success, or a similar role at a blockchain, API-first, or fintech infrastructure company - Experience managing a book of partners or customers, carrying relationships from signed agreement through scaled production deployment - Strong technical fluency with APIs, integrations, and infrastructure; comfortable troubleshooting alongside developers and engineering teams - Comfortable working across business and technical stakeholders, connecting implementation details to business outcomes - High EQ and strong ownership; partners trust you as an extension of their team, and you follow through on commitments - Experience with payments, blockchain infrastructure, or validator operations is a strong plus ATTRIBUTES - Scrappy and hands-on—you’ll dig into a complex integration without being asked - Proactive and anticipatory; you identify risks before they become partner problems - Organized and dependable, balancing priorities across a growing portfolio - Clear communicator who translates technical complexity into business value - Energized by ambiguity and the pace of an early-stage company - Deeply curious about payments, blockchain infrastructure, and the ecosystem being built around stablecoins

Location: US Please note that all communications regarding this position will be sent exclusively from an email address ending in @planetscale.com Any correspondence relating to this role will only originate from this domain. PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn’t be higher. We’re looking for a Customer Support Engineer to help developers and businesses get the most out of PlanetScale, resolve issues quickly, and build the support function that helps us scale. What’s the job to be done? You will advise and handle support requests from customers and developers on the PlanetScale platform. You will respond to, debug, and resolve customer support issues through support tickets, customer Slack channels, public discussions, and other support channels. You will help customers understand how to use PlanetScale effectively, including how to reason about queries, schema changes, application behavior, database connectivity, and production workflows. You will create and improve internal and external documentation, support playbooks, troubleshooting guides, and customer-facing materials. You will identify product gaps and recurring sources of customer friction, then work with Engineering to prioritize improvements. You will contribute to the systems, processes, and practices that help PlanetScale deliver excellent developer-focused support at scale. These attributes best describe you. You are customer-focused, empathetic, and clear in how you communicate, while knowing when to push back in ways that help customers become successful on their own. You have excellent debugging and troubleshooting skills, with the curiosity and persistence to follow issues across applications, databases, infrastructure, and product behavior. You are comfortable stepping outside your comfort zone. Whether that means reading unfamiliar application code, digging into database behavior, testing a new framework, or learning a connector you haven’t used before, you’re willing to go where the problem leads. You are a self-starting, enthusiastic individual who takes responsibility for outcomes and wants to make a meaningful impact on the business. You can operate independently, but you know when to ask for help and how to bring the right people into an issue. You are highly organized and able to operate in ambiguous or changing situations. You are data-driven, team-oriented, and comfortable communicating across many audiences. You enjoy working cross-functionally and translating customer pain into actionable product, documentation, and process improvements. What you will need. Experience supporting production applications, databases, developer tools, infrastructure, or other technical products. Working knowledge of SQL, preferably with experience in MySQL and/or PostgreSQL. Strong debugging skills and the ability to reason through application and database behavior. Programming experience. You will not be programming full-time, but you should be comfortable reading and navigating unfamiliar code to understand customer issues. Experience with common application frameworks, ORMs, database connectors, or application deployment patterns. Willingness to explore new languages, frameworks, tools, and customer environments as needed. Strong written and verbal communication skills. Strong empathy for customers, developers, and teammates, with the ability to advocate for customer needs clearly and constructively. What else will help you be successful. Experience working in a remote organization. Experience with cloud platforms such as AWS, GCP, or Azure. Knowledge of monitoring, observability, and debugging tools. Experience helping build support processes, documentation systems, or teams from an early stage. Why PlanetScale. We’re redefining how high-growth companies manage data at scale — and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Customer Support Engineer, you’ll be on the front lines helping developers and businesses solve real production problems, while also shaping the product, documentation, and support systems that make PlanetScale better for every customer. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there’s any way we can make the interview process better for you; we’re happy to accommodate! Total Compensation and Pay Transparency An employee’s total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $150,000 - $200,000 USD

Location: United States Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary: As a Product Marketing Manager, you will be a key part of the execution engine behind Filevine's go-to-market motions. You will take our sophisticated Legal Operating Intelligence System capabilities and turn them into highly effective customer-facing assets, product content, and targeted tier-1 through 3 launches. Working directly at the intersection of Product Management, Sales, and Marketing, you are responsible for keeping pace with an AI-forward environment where speed wins. This role requires a highly technical, execution-oriented marketer who thrives under tight timelines and loves getting their hands dirty building collateral, analyzing competitors, and helping cross-functional teams move forward together. What You'll Do: Product Content & Technical Literacy Messaging and Positioning: You will own messaging and positioning of the individual products within the portfolio for business partners and stakeholders. Collateral Engine: Author high-impact, foundational product content, customer presentations, pitch decks, feature blogs, and clear value-proposition briefs. Technical Literacy Translation: Take complex, technical AI architectures and LLM capabilities and translate them into intuitive, emotionally resonant customer facing collateral. Flawless Execution: Maintain high-quality craftsmanship while building assets rapidly to match the velocity of our product engineering cycle. Launch Execution & GTM Orchestration Cross-Functional Delivery: Partner closely with Product Management, Sales, and Marketing teams to ensure everyone contributes effectively to GTM strategies and hits their respective milestones. Use Case Activation: Deeply understand buyer behaviors to develop and activate Filevine’s core use-case messaging, ensuring our positioning resonates from solo practitioners to enterprise legal teams. Understanding various types of legal practices is a must, direct legal industry experience is a strong plus! Sales Enablement & Battlecard Culture Battlecard Architecture: Conduct ongoing competitive research to build, update, and deploy actionable battlecards and win/loss insights to keep Sales ahead of legacy tech and AI point solutions. Revenue Enablement Support: Support the implementation of comprehensive training programs to ensure Sales, Product Management, and Partner teams can effectively position Filevine’s unique advantages. Market and analyst relations/awareness : Track competitive and analyst environment to support briefings and reports that help to shape how Filevine is seen/understood by the market Win/loss discipline: Own a consistent win/loss practice and turn the findings into positioning changes. Preferred Technical Acumen Generative AI & LLMs: Comfort with technical concepts, APIs, modern software architectures, and specific familiarity with Generative AI, LLMs, or legal workflows. Technical Translation: Ability to translate complex technical concepts and SaaS architecture into clear, compelling customer-facing materials and value propositions. Cross-Functional Tech Alignment: Ability to collaborate effectively with Product Management and Engineering teams to translate product roadmaps into GTM strategies. Qualifications: Professional Experience: 3–5 years of dedicated product marketing experience within a B2B SaaS environment, ideally experiencing the high-growth transition from Series C to IPO. Previous experience as a legal professional is a strong plus. AI-Forward Execution & Velocity: Proven experience working in a fast-paced technology or AI environment. You understand that speed wins, and you have a track record of flawlessly executing GTM tasks under tight timelines. Proactive Writer & Practitioner: A stellar portfolio demonstrating your ability to write clear, compelling product content and high-stakes customer-facing presentations. Cross-Functional Collaboration: Strong interpersonal skills with demonstrated success partnering across product, sales, and marketing teams to execute unified strategies. Analytical & Technical Curiosity: Comfort with technical concepts, APIs, and modern software architectures. Specific familiarity with Generative AI, LLMs, or legal workflows is highly advantageous. Education: Bachelor’s degree in Marketing, Business, Technical Writing, or a related field. A JD is also accepted and encouraged. Compensation Information: $120k - 140k   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package. Work Location Expectation: Filevine maintains offices in Salt Lake City, San Francisco, Chicago, and New York. Candidates based in or near these metropolitan areas will work on a hybrid or in-office schedule, while candidates located outside these regions are eligible for remote work     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.   Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine’s equal employment opportunities, you may contact us at legal@filevine.com

Location: Singapore - Office - Suntec City Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: Tenable is looking for a Director, Channel Sales to lead our channel sales team across Asia Pacific and Japan (APJ). You'll own the region's indirect go-to-market strategy — growing and managing the partners (resellers and distributors) who help Tenable reach customers across a region that spans a diverse market. You'll manage and build a channel team and a partner network that can operate at that scale, while working closely with Sales, Marketing, Services, and Support to make sure partners are set up to sell, deploy, and support Tenable well in their local markets. Your Opportunity: Lead, hire, coach, and manage a team of channel sales professionals across APJ — helping each person grow their skills and their career. Own and execute Tenable's channel sales strategy for APJ: set clear KPIs, build repeatable playbooks, and raise the bar on channel sales best practice across the team. Grow the Tenable Assure Partner Program footprint across APJ — recruiting, enabling, and scaling resellers and distributors across the Bronze, Silver, Gold, and Platinum partner tiers. Partner with global and regional Sales, Marketing, Services, and Enablement teams to build consistent partner compensation, training, and incentive programs suited to APJ's markets. Manage the end-to-end channel sales process: pipeline health, deal registration, forecasting, and the metrics that keep the channel funnel healthy. Own key partner and customer relationships across the region, and lead commercial discussions — including volume discounts and deal terms — for strategic partners and high-value accounts. Represent APJ's channel priorities to global channel leadership, and adapt global partner programs so they work for local market realities (e.g. distributor-led models in parts of Southeast Asia and Greater China vs. direct reseller models in Australia and New Zealand). Travel regularly across APJ to support partners, customers, and your team in person. Take on other reasonable duties as the business needs — this list covers the core of the role, not all of it. What You'll Need: A genuine people leader — someone with a track record of coaching a team and helping them grow into stronger channel sellers and, eventually, leaders themselves. 5+ years of indirect/channel sales leadership experience in technology or cybersecurity, including at least 2 years at Director level leading a channel sales or partnerships function across APJ. A solid understanding of how channel and distribution models differ across APJ's markets, and the judgement to adapt strategy country by country rather than applying one approach everywhere. Experience setting and managing channel KPIs, quota attainment, and sales funnel metrics — and a track record of hitting them. Established relationships with channel partners and distributors across the region. Strong consultative selling and negotiation skills, with the confidence to engage partner and customer executives on complex, multi-stakeholder deals. Experience designing or managing partner pricing, incentives, and deal registration programs, including for high-profile accounts. The ability to work at both the strategic level (regional channel strategy) and the operational level (day-to-day deal and partner support). Willingness and ability to travel regularly across APJ. And Ideally: Experience selling or partnering in cybersecurity, vulnerability management, or exposure management specifically. An additional regional language (e.g. Mandarin, Japanese, Korean, or Bahasa) — a real advantage given the number of markets in scope, though not required. Experience working within a tiered partner program (e.g. Bronze/Silver/Gold/Platinum-style structures) at a global technology vendor. #LI-KM1 #LI-Office We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Remote-Texas; Remote-Florida; Remote-North Carolina; Remote-Arizona; Remote-South Carolina Workplace: Remote LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION Do you see opportunities where AI, automation, and intelligent agents can transform how work gets done? Are you passionate about helping healthcare organizations improve member experiences, reduce administrative burden, optimize costs, and accelerate operational outcomes? At UiPath, we are redefining enterprise automation through Agentic Automation—bringing together AI agents, robots, people, and enterprise systems to orchestrate end-to-end business processes. As a Healthcare Sales Engineer focused on our Payer domain, you will serve as a trusted advisor to health plans and payer organizations, helping them identify, design, and scale transformative solutions that improve operational efficiency, compliance, and member outcomes. You will partner with executives, business stakeholders, and technical teams to uncover opportunities where AI and automation can drive measurable business value while positioning UiPath as the strategic platform for enterprise transformation.   WHAT YOU'LL DO AT UIPATH - Serve as a strategic advisor to healthcare organizations with an emphasis on payer organizations, helping them identify opportunities to improve business outcomes with Agentic Automation and AI-powered process transformation. - Evangelize the value of combining AI agents, automation, process intelligence, and human expertise to optimize complex healthcare operations. - Partner with account teams to develop account strategies, identify growth opportunities, and align UiPath solutions to customer priorities and business objectives. - Conduct discovery workshops with business and technical stakeholders to understand current-state operations, process challenges, and transformation opportunities. - Leverage process intelligence methodologies to identify inefficiencies, quantify value potential, and build automation roadmaps. - Design and deliver compelling demonstrations, executive presentations, and proof-of-value engagements that showcase UiPath’s platform capabilities. - Architect solutions that combine AI, automation, orchestration, document understanding, and agentic workflows. - Collaborate with Product + Engineering, Customer Success, and Industry Solution teams to ensure customer feedback influences product innovation and solution development. - Develop industry-specific solution narratives and use cases tailored to healthcare priorities. - Support technical evaluations and guide customers through architecture, security, governance, scalability, and deployment discussions. - Act as a thought leader within the healthcare payer market and represent UiPath at customer meetings, industry events, and executive briefings. - Share best practices, lessons learned, and industry insights across the UiPath go-to-market organization. WHAT YOU'LL BRING TO THE TEAM - Deep expertise in Healthcare Payr operations, including areas such as: - Claims management - Prior authorization - Utilization management - Care management - Provider data management - Enrollment and eligibility - Risk adjustment - Revenue integrity - Appeals and grievances - Customer/member service operations - Experience helping healthcare organizations improve operational performance through technology-driven transformation initiatives. - Ability to connect business challenges with technical solutions and articulate measurable business value. - Strong understanding of AI, automation, enterprise applications, and modern technology architectures. - Experience leading consultative discovery conversations with executive, business, and technical stakeholders. - Demonstrated ability to simplify and communicate complex technical concepts to both technical and non-technical audiences. - Knowledge of continuous improvement methodologies, operational excellence frameworks, and process transformation practices. - Experience working with large enterprise organizations in complex, highly regulated environments. - Background in sales engineering, consulting, solution architecture, digital transformation, intelligent automation, or related fields. - Intellectual curiosity, adaptability, and a passion for continuous learning. - Strong collaboration and relationship-building skills. - Requires up to 25% travel - Candidates must be authorized to work in the United States for this role   #LI-KS6 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Senior Computer Vision Engineer to join our Embodied AI team, focused on 3D scene understanding and semantics. A reconstructed environment is only useful to a robot once it knows what is in it: which surfaces are floor, which objects can be grasped, moved, or opened, where one room ends and another begins. You'll work hand in hand with our Research Scientists to take advances in open-vocabulary perception, 3D semantic labeling, and scene graph construction and turn them into reliable capabilities that embodied AI teams can use in production. This is an applied research role. You'll live at the boundary between a research prototype and a production pipeline: adapting methods so they hold up on messy customer captures, lifting 2D semantic signals into geometrically consistent 3D, defining what "semantically correct" means for a downstream policy, and feeding what you learn back into the research agenda. You understand that the difficult part is often not the core method, but the messy inputs, edge cases, operational constraints, and downstream requirements surrounding it. You care about quality, cost, latency, and reliability, and you know that a system is only successful when people can depend on it. This is a hands-on engineering role for someone who wants to build, ship, and own outcomes. You'll help shape both the technology and the product, while remaining close to the code and the problems our customers are trying to solve. What You'll Do - Productionize 3D Scene Understanding Capabilities - Turn research prototypes in open-vocabulary segmentation, 3D semantic and instance labeling, affordance prediction, and scene graph construction into reliable pipeline components and services that operate across varied customer data and environments. - Own End-to-End Output Quality - Ensure that reconstructed environments carry labels, instances, and relationships that are consistent, complete, and correct enough for downstream simulation and policy learning, and define what "correct enough" means for each customer workflow. - Bridge Research and Production - Work day to day with the Embodied AI Research Scientist: pressure-test new methods on real customer data, identify where they break, and bring production and customer constraints back into research planning to prioritize the advances that matter most. - Make Systems Robust to the Real World - Diagnose failures caused by capture quality, scene complexity, scale, calibration, coordinate conventions, and other assumptions that prototypes often leave implicit. - Build Evaluation and Quality Infrastructure - Create datasets, regression tests, quality gates, and benchmarking tools that help the team measure whether changes improve the system. - Improve Performance, Throughput, and Cost - Profile and optimize GPU and distributed workloads, reduce unnecessary reruns, and help establish the economics of running reconstruction at scale. - Work Across the Product Boundary - Partner with Embodied AI product and engineering teams to understand customer requirements and deliver capabilities that fit real training, evaluation, and deployment workflows. Help evolve the representations, tooling, and operational systems that allow reconstructed environments to move reliably into customer applications. What You'll Bring - 5+ years of computer vision experience and a bachelor's degree or equivalent, - Significant experience building and operating production computer-vision, machine-learning, graphics, or data-processing systems. - Deep hands-on experience with scene understanding: semantic, instance, or panoptic segmentation; open-vocabulary detection and segmentation; or vision-language models applied to perception. - Experience taking 2D perception into 3D, such as multi-view label fusion, 3D semantic segmentation, instance tracking across views, or scene graph construction over reconstructed geometry. - Experience delivering reliable computer-vision or 3D systems used by other teams or customers, including the evaluation that proved they worked.. - Practical command of 3D and spatial data, including geometry, camera models, coordinate frames, calibration, and metric scale. - Strong Python and PyTorch skills, with the ability to work in C++ or other performance-oriented environments when needed. - Experience with cloud infrastructure, GPU workloads, distributed processing, or large-scale data pipelines. Nice to Have - Hands-on experience with 3D reconstruction, photogrammetry, structure from motion, Gaussian splatting, neural rendering, or meshing. - Experience with SLAM, visual positioning, localization, or large-scale mapping systems. - Experience with robotics, simulation, or embodied AI applications, in particular how semantic labels are consumed by a policy or a simulator. - Built evaluation or benchmarking infrastructure for perception or reconstruction systems. - Experience optimizing large-scale GPU inference workloads for cost, throughput, or latency. - A publication record or contributions to widely used open-source perception codebases. - Advanced degree in computer vision, robotics, machine learning, or a related field. Competencies - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here Syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling. - Strong systems instincts. You understand that production quality includes reliability, observability, cost, latency, maintainability, and usability—not just algorithmic accuracy. - Comfort with ambiguity. You can make progress when the problem, data, and requirements are still evolving. Compensation & Benefits Base salary range of $229,500 to $255,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Remote, USA Company Overview: At Wayvia, we help the world’s top brands stay ahead—using AI, data, and innovation to shape the future of commerce. Whether you’re charting a new path or leveling up your journey, Wayvia is where your career can go further. We’d love to meet you. We help global brands connect with their shoppers in ways that are relevant, respectful, and real. And we do the same for each other—with trust, transparency, and the human connection that makes great work possible. At Wayvia, you’ll find a team that’s curious, collaborative, and always up for solving what’s next. We move fast, think boldly, and support one another in building something that matters—for our clients, for shoppers, and for each other. Job Brief The Solutions Engineer II (SE-II) is the go-to technical problem solver for Wayvia’s client-facing teams across the full client lifecycle. The SE-II partners with Account Executives on new business and with Customer Success Managers and Account Managers on existing clients—scoping expansions, solving for new use cases, supporting technical projects and resolving complex website integration challenges. With a deep understanding of Wayvia’s solution catalog, strong website technology skills and a creative approach to problem solving, the SE-II ensures clients get lasting value from the Wayvia platform well beyond the initial sale. Essential Functions & Responsibilities Technical Partner Across the Client Lifecycle — Serve as the technical subject matter expert for AEs, CSMs and AMs, supporting new business, renewals, expansions and ongoing client work with a balanced focus on both new and existing clients. Existing Client Projects & Expansions — Partner with CSMs and AMs to scope and solution expansion opportunities, custom configurations and technical projects for existing clients; identify growth opportunities rooted in how clients actually use the platform. Website Integration & Troubleshooting — Guide client web and development teams through deploying Wayvia solutions on brand websites (JavaScript embeds, tags, pixels and APIs); validate implementations and troubleshoot technical issues alongside Implementation and Support. Discovery & Solution Design — Lead requirement-gathering, discovery and data-transfer discussions, aligning client needs with Wayvia capabilities and identifying new and innovative uses for Wayvia solutions and data. Demos & Technical Evaluations — Deliver tailored product demonstrations and technical architecture overviews to enterprise audiences; support RFI/RFP responses and technical vendor assessments. Feedback, Handoffs & Documentation — Relay client feedback to Product throughout the sales, renewal and growth cycles; ensure clean handoffs to Implementation and Support; create and maintain technical documentation as products and processes evolve. Minimum Qualifications 2–5 years of customer-facing technical experience (solutions engineering, sales engineering, solutions consulting, technical account management or implementation), preferably in SaaS. Hands-on professional experience with website technologies—JavaScript, HTML, CSS, CDNs and APIs—including reading, debugging and troubleshooting front-end code using browser developer tools. Experience supporting enterprise clients both pre- and post-sale, including expansion opportunities and technical projects within existing accounts. Ability to explain technical concepts and systems clearly to non-technical audiences. Excellent written and verbal communication and strong presentation skills, both in person and virtual. Proactive and self-directed, with the ability to prioritize competing requests across Sales and Customer Success and drive results with minimal supervision. Strong critical thinking and problem-solving skills, with a flair for storytelling. Preferred Qualifications Experience with tag management (e.g., Google Tag Manager) and tracking pixel implementation. Website analytics, digital marketing technologies or SEO. Data analysis and visualization tools such as Looker, Looker Studio, Power BI or Tableau; relational database or SQL experience. Digital shelf management, digital merchandising, content syndication or retail media. Experience in eCommerce, retail technology or commerce intelligence. Benefits: Wayvia encourages a healthy work-life balance and commitment to employee wellbeing. We are consistently evaluating areas to support and foster a community of engaged employees. Wayvia is an international employer so some benefits offering will vary from country to country, however, below you can see employer sponsored contributions: Flexible work-from-home arrangements 401K Match Flexible vacation Medical/Dental/Vision 16 weeks of paid parental leave (US) Technical stipend Professional development programs Wellness programs Location: This is a remote position open to candidates based in the United States. Wayvia is an equal opportunity employer that is committed to inclusion and diversity.

Location: New York, NY (HQ); Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We’re seeking someone to lead the future of fraud machine learning at Ramp. In this role, you will help build core machine learning models, design data architectures, and set strategic roadmaps to help Ramp mitigate fraud-related threats while minimizing the friction experience by legitimate users. You will partner closely with product and engineering counterparts across model design, implementation, execution, and analysis. WHAT YOU’LL DO - Employ statistical and machine learning techniques on large datasets to discover patterns of fraud, platform abuse, and identity theft - Prototype and productionize machine learning models and rules-based systems to protect Ramp and its users from fraud - Partner closely with Fraud Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make - Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way WHAT YOU NEED - Bachelor’s degree or above in Math, Economics, Physics, Computer Science, or other quantitative fields - A minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist - Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and backend engineering - Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems - Strong knowledge of SQL (Snowflake, Postgres, etc.) - Fluency with agentic (AI) tools for software development and data analysis - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions NICE-TO-HAVES - PhD in Math, Economics, Physics, Computer Science, or other quantitative fields - Context on Fraud and/or Identity Threat detection systems - Experience at a high-growth startup - Experience with the modern data stack ( Snowflake / Hex / dbt / RisingWave / etc ) - Strong perspective on data science + ML engineering development cycle, especially in a post-AI setting - Experience developing LLM-backed systems or tools BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: London Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. Niantic Spatial's R&D Team in London is seeking a Research Scientist to push the frontiers of Spatial AI, advancing our Large Geospatial Model as a dedicated member of the Embodied AI group. You will invent and develop algorithms and systems that sit at the cross-section of computer vision, machine learning, AI, graphics, and robotics. We're passionate about discovery, so we're looking for scientists who want to learn, publish, teach, and deploy every new invention. What You'll Do - Develop New Spatial Representations - Develop new spatial representations that embodied AI can learn from, train in, and act on. - Advance Real-to-Sim Pipelines - Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning. - Solve Emerging Spatial Problems - Solve emerging problems that relate to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems. - Take Capabilities Through to Evidence - Take new capabilities through to evidence: what changed for the policy, not only what changed in the reconstruction. - Build Prototypes - Build proof of concept prototypes, initially for internal use, where some will need to run at production scale on customer data. - Collaborate Across Research and Product - Collaborate closely with researchers, engineers, and product partners to bring novel models to production. - Publish Your Work - Publish and present your work. What You'll Bring - A PhD in computer vision, robotics, graphics, machine learning, or a related field, or equivalent research experience, with a publication record at top venues. - Substantial expertise in robotics or embodied AI, including experience in sim-to-real transfer, domain randomization, policy evaluation, and simulation-based learning. - Deep experience with 3D scene representations: Gaussian splatting, neural fields, meshes, point clouds, or implicit representations. - You have applied generative or diffusion models to 3D data, such as scene completion, inpainting, relighting, or novel view synthesis from sparse capture. - You have worked on 3D semantics, open-vocabulary scene understanding, or scene graphs. - Proficiency in Python and Deep Learning libraries such as PyTorch. - GPU or graphics programming experience, such as custom CUDA kernels, shaders, or differentiable rendering. - A track record of contributing to widely used open-source research codebases. Nice to Have - Proficiency in C++. Compensation & Benefits Base salary range of £103,500 to £202,500. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. Location & Work Model This role is based in our London office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Washington, DC 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 Solutions Architect supporting a dedicated national security mission program, you will be the customer's trusted technical advisor — helping them understand the value of Claude and how to successfully integrate and deploy it into their technology stack. You'll combine deep technical and cyber domain expertise with customer-facing skills to architect LLM solutions for complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide the customer from technical discovery through successful deployment, much of it on-site in secure environments. Key responsibilities Serve as the dedicated technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption Support the customer building with Claude Code, the Claude API, and Claude for Enterprise Help develop evaluation frameworks to measure Claude's performance for mission-specific use cases Guide technical architecture decisions and integration into the customer's existing stack Coordinate internally across Sales, Product, and Engineering to drive customer success Create and deliver technical content from engineering deep dives to executive briefings Work primarily on-site with the customer's engineering and mission teams in secure government facilities, while maintaining close internal coordination and feedback with Anthropic’s Applied AI and Engineering teams Minimum qualifications Active TS/SCI clearance with Polygraph Prior experience working within US intelligence community agencies as a government civilian or cleared contractor Experience in technical customer-facing roles (solutions architecture, sales engineering, or similar) Exceptional ability to communicate technical concepts to diverse stakeholders, from engineers to executives Hands-on expertise in one or more of the following domains: offensive or defensive cyber operations (including vulnerability research, reverse engineering, and ICS/OT security), cryptography and cryptanalysis, intelligence analysis and ISR (all-source, SIGINT, GEOINT), mission and weapons systems (command and control, space, electronic warfare, autonomy), CBRN and nonproliferation, or accreditation of classified systems (RMF, ATO, cross-domain solutions). Preferred qualifications 5+ years in Solutions Architect, Sales Engineer, Technical Account Manager or equivalent roles Familiarity with common LLM frameworks and tools Background in artificial intelligence, machine learning, or data science Experience designing scalable cloud architectures and integrating with enterprise systems Experience deploying and operating software in air-gapped or classified environments 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: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA; New York, NY 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. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE TECH, MEDIA & TELECOM TEAM - We work with some of the world's most influential and recognizable companies, from global telecommunications providers and leading media brands to technology platforms that power businesses worldwide. - We build agents for the moments that matter, helping our customers rise to the occasion when service disruptions, major product launches, or global events like the World Cup https://www.linkedin.com/posts/claybavor_at-sierra-we-are-very-proud-to-have-partnered-activity-7491200203899760641-I27d?utm_source=share&utm_medium=member_desktop&rcm=ACoAABYjELMBZfjrg-wrv53M1tVXGe93FF3eTww drive millions of customer interactions. - We bring Sierra’s Horizon https://sierra.ai/product/horizon vision to TMT by building agents that transform the entire customer relationship: - Telecommunications: Turn one of the most frustrating customer experiences into one of the most personal, with agents that understand each subscriber, optimize their plan and savings, anticipate opportunities to add value, and earn their loyalty over time. - Media: Turn every subscription into an ongoing, personalized relationship, with agents that help each subscriber get the most from their experience through the right content, offer, plan, and support from their free trial through retention. - Technology: Bring the white-glove customer experience traditionally reserved for the largest enterprise accounts to every customer, helping them adopt the product, discover new ways to get value, expand their usage, and successfully renew. 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 in Silicon Valley, 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: - Create agents that pursue goals over weeks and months, reasoning about when to reach out, which channel to use, and what next action will move a customer relationship forward. - Develop personalization and experimentation systems powered by Sierra's Context Engine https://sierra.ai/blog/context-engine that combine customer data, behavior, prior conversations, and real-time context to determine the right offer or experience, then learn from every interaction and experiment to autonomously improve personalization over time. - Design conversational discovery agents that reason across huge content catalogs and rich subscriber context, using interests, history, entitlements, and the moment at hand to help someone quickly find something they'll actually want to watch, read, or listen to. - Build agents that troubleshoot deeply integrated telecommunications and connected-device experiences, reasoning across account, billing, network, and device systems to diagnose issues and take the actions needed to resolve them. - Experiment with new voice experiences and Voice Personas https://sierra.ai/blog/introducing-voice-personas tailored to each brand, customer, and moment, bringing the right empathy, energy, and conversational style to everything from navigating a frustrating telecom billing issue to helping someone discover their next favorite show or find the plan that's right for them. 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. - Excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences. - Excitement in the Tech, Media & Telecom space and a care for helping some of the world’s top brands continue to build brand loyalty with their customers. 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 - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA; New York, NY; Atlanta, GA 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. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE TRAVEL, TRANSPORTATION AND HOSPITALITY TEAM - The Travel, Transportation and Hospitality (TTH) supports some of the largest airlines, hotel chains, rental car brands, cruise lines and travel tech companies in the world. Our customers are frontiers in the travel space, and are true thought partners in shaping our platform, helping reinvent what hospitality looks like in this new era. Our customers rely on us to not only deliver standout customer experiences, driving stronger growth in their business. - Our TTH team is constantly pushing the bounds of what is possible within this industry and beyond. We help support our customers in the moments that matter — whether that’s proactively encouraging new bookings to prepare for exciting events, or helping guests rebook their flights or stays during times of distress. We help our customers maximize the lifetime value of their guests and build products to delight guests at every touchpoint. - We’re a small and scrappy team, and we support each other with any deliverables we have to meet. Every engineer on TTH is also a product-led thinker; every PM on TTH is tinkering and developing tangible prototypes; and every strategist on TTH is capable of owning an agent end to end. As a part of this team, you’ll set the standard on what it means to go beyond your role, and help build the travel industry of the future. 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 in Silicon Valley, 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: - Building innovative multimodal experiences: Spearhead cross-cutting initiatives, partnering with the voice and Experience SDK teams to bring to life embedded voice mode in mobile apps. This brand new product allows users to talk, tap and text with our agents all in a single view — unlocking communication through rich visualizations, and accuracy in input collection with chat, with the ease and efficiency of voice. - Shipping complex booking experiences: Build personalized booking flows, including leveraging Google Maps APIs to support searching for properties via an embedded map view, developing a recommendation engine based on past reservations and orchestrating seamless payment collection to complete the full booking lifecycle. - Abstracting complex systems into packages: Modernize legacy reservations systems by creating Sierra packages that optimize querying and updating trips for customers across the board. You’ll be challenged to think deeply about how to orchestrate each step of these workflows to maximize efficiency while upholding reliability and accuracy. - Improving the capabilities of our built in integrations: Expand platform extensibility by introducing new capabilities to our existing integrations. An example is extending our MCP integrations to support MCP UI, which allows customers to dynamically host their custom UI resources on our embedded chat windows. 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. - Excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences. - Excitement in the travel space and a genuine care for helping improve the guest experience as a whole. Our customers care deeply about their guests, and we carry that through what we build every day. EVEN BETTER... - Language Fluency: Professional fluency in both Spanish and English. - 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 - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA; New York, NY; Atlanta, GA 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. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE FINANCIAL SERVICES TEAM - Our financial services customers span insurers that provide protection for life’s most challenging moments, systemically important banks, neobanks committed to building more delightful banking software, vertically integrated ecosystems like Rocket Companies, and more. The decisions we make impact millions of end customers and billions of dollars in economic activity. - Our Financial Services team partners closely with these organizations to set their AI strategies and build modern tools that carefully handle moments when a person’s private anxiety meets an institution’s procedural muscle—the hours after a family discovers their home has been damaged by a wildfire and begins filing a claim; the difficult conversation following the loss of a loved one as beneficiaries navigate a life insurance claim; the frustration of dropping a phone, shattering the screen, and trying to quickly understand coverage and arrange for a repair or replacement. - Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone. 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 in Silicon Valley, 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 insurance companies that consistently outperform human agents in filing claims quickly and consistently. - Develop and refine AI agents capable of navigating complex customer interactions, like generating a quote for insuring a modified 1960s Corvette. - 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. - Excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences. - Genuine interest in Financial Services and improving the end customer experience. Experience in insurance technology, implementations at financial institutions, working inside of these institutions or familiarity with financial services security and compliance requirements (coverage advice, PII handling, etc.) are a strong plus. 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 - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA; New York, NY; Atlanta, GA; Toronto 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. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE RETAIL TEAM - The Retail team on Agent Engineering supports some of the largest and most storied consumer brands in the world – including Uber, Wayfair, Wilson, and Sonos. Together, we’re reinventing what commerce looks like in this new, AI-first era. Our customers rely on us to not only deliver novel experiences, but also host hundreds of millions of shopper and vendor interactions across web, app, phone, and in-store channels every year. - Our team supports our customers’ customers in the moments that matter – whether that's guiding a shopper to the right product during a limited drop or a Black Friday surge, locating a package that never arrived, or troubleshooting an appliance that stopped working. Always true to each brand’s voice, we create seamless experiences that resolve issues, drive revenue, increase lifetime value, and build lasting loyalty. - Our team supports our customers' customers in the moments that matter most, from product discovery and checkout to order tracking and troubleshooting. Always true to each brand’s voice, we create seamless experiences that resolve issues, drive revenue, increase lifetime value, and build lasting loyalty. - Every engineer on the Retail Team is a product-led thinker; every PM on Retail is also tinkering and developing tangible prototypes; and every strategist on Retail is capable of owning an agent end to end. As a part of this team, you'll set the standard on what it means to go beyond your role, and help build the groundwork for the retail industry in the future. 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 in Silicon Valley, 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: - Abstracting complex commerce systems into packages: Modernize the sprawl of order management, fulfillment, returns, and warranty systems behind the large retailer ecosystem by creating scalable packages that optimize looking up and updating orders for customers – from Shopify storefronts to decades-old homegrown Order Management System (OMS) and claims platforms. - Shipping the full discovery-to-checkout lifecycle: Build personalized shopping flows that carry a shopper from a vague idea to a completed order. This includes everything from building a recommendation engine that combines transcript-aware planning, structured filters, and semantic and keyword search to payment and order placement. - Building production-grade agents at a truly global scale: Sierra’s retail agents serve some of the world’s largest global brands, handling traffic at unprecedented volumes during the busiest times of the year and across all geographic locales. You will be building at the frontier of enterprise applied AI. 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. - Excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences. - Excitement in the retail space and a care for helping some of the world’s top brands continue to build brand loyalty with their customers. 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 - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.