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Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Data Scientist to join our growing Data team and serve as a strategic analytics partner across Render. As we scale, we're tackling increasingly complex questions across our product, customers, and business, from how developers discover and adopt Render, to what drives engagement and retention, to how we prioritize investments and identify new opportunities for growth. You'll partner with leaders and teams across Product, Growth, Go-to-Market, Finance, and other functions, focusing on some combination of data analytics, analytics engineering, machine learning, and experimentation based on your strengths, interests, and Render's highest-priority needs. You'll turn ambiguous questions into rigorous analysis, define how we measure success, and translate complex data into decisions and action. As a Senior/Staff-level individual contributor, you'll also help set the standard for analytics at Render, shaping our measurement frameworks, analytical practices, and how teams across the company use data to make better decisions. WHAT YOU’LL DO - Serve as a strategic analytics partner. Work closely with leaders and cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance, and other teams to identify high-impact questions, frame decisions, and determine how success should be measured. - Define meaningful metrics and measurement frameworks. Develop the KPIs and frameworks teams use to understand performance across areas such as acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes. - Turn data into strategy. Surface patterns across our users, customers, products, and business. Identify opportunities, diagnose friction, and help teams determine where to invest and what to prioritize. - Shape our approach to experimentation and evaluation. Design and analyze experiments where appropriate, develop guardrail metrics and other methods for evaluating initiatives, and help teams choose the right analytical approach for the decision at hand. - Build measurement into how we work. Partner with teams to define instrumentation and measurement plans early, ensuring new products, programs, and initiatives can be evaluated reliably after launch. - Build trusted analytical foundations. Build and maintain dbt models, semantic and context layers in partnership with Analytics Engineering, transforming behavioral and business data into reliable datasets that support decision-making across Render. - Raise the bar for analytics. Establish analytical best practices, improve how teams use data in decision-making, and mentor scientists and cross-functional partners on measurement, experimentation, and data literacy. - Help shape the future of analytics at Render. Explore how AI-assisted tools can make analytics faster and more accessible while maintaining a high bar for accuracy, context, and analytical judgment. WHAT WE’RE LOOKING FOR - 7+ years of analytics experience, with a track record of shaping strategy and influencing decisions across complex or ambiguous problem spaces. - Strong business and product judgment. You can take an ambiguous question, identify what really needs to be understood, and determine the right analytical approach to inform a decision. - Experience defining and using metrics across some combination of Product, Growth, Go-to-Market, Finance, or other business domains, for example acquisition, activation, adoption, engagement, retention, conversion, expansion, or revenue. - Strong SQL skills. Writing complex, efficient SQL and independently exploring large datasets is a core part of how you work. - Experience using experimentation, statistical analysis, or other rigorous evaluation methods to understand impact, along with judgment about when each approach is appropriate. - Experience with modern analytics tooling such as Metabase, Mixpanel, dbt, BigQuery, Segment, and Git. - A track record of influencing cross-functional teams and senior leaders without direct authority. You're comfortable challenging assumptions, creating clarity from ambiguity, and driving alignment around what the data says. - Excellent communication skills. You can turn complex analysis into a clear narrative, explain technical concepts to non-technical audiences, and build the relationships necessary to drive action. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate analysis, data modeling, instrumentation, or visualization. NICE-TO-HAVES - Expertise in statistical methods beyond traditional A/B testing, such as causal inference, cohort and survival analysis, or time-series analysis. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. - Experience analyzing multi-product or multi-segment businesses and understanding behavior across interconnected customer journeys. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, CA; Sunnyvale, CA Workplace: Hybrid At Niantic Spatial, we’re building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment. Join us as we build the real-world foundational models for physical AI, so people and machines can work efficiently and safely together. As a Senior Computer Vision Engineer on the Applied Algorithms team, you will own significant parts of our Localization technology. As a member of this team, you will be responsible for building the Map representing a living geospatial world model, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world. Part of the role will be bridging the gap between R&D and production, turning complex geospatial data into a persistent sense of space and enabling the next generation of spatial AI. RESPONSIBILITIES - System Architecture: Design, develop, and maintain production-grade computer vision systems that power Niantic Spatial’s VPS (Visual Positioning System) and 3D mapping pipelines. - Algorithmic Innovation: Refine and scale algorithms for our VPS system including, SfM (Structure from Motion) and Feed Forwards models, efficient feature and descriptor extraction to have the best possible accuracy and recall. Moving algorithms from research concepts to hardened production code that can scale for our map of the world. - Performance Engineering: Optimize complex ML and CV code for maximum efficiency in cloud and mobile environments, ensuring low latency and high-performance execution on GPU/CPU. - Benchmarking & Evaluation: Create and own the tools and frameworks used to evaluate the quality of our spatial grounding and 3D maps against ground-truth data. - Technical Leadership: Lead technical design reviews, mentor junior engineers, and serve as a team anchor for resolving complex technical disagreements within the mapping stack. - Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art computer vision solutions translate into delightful user experiences. REQUIREMENTS - Education: BS, MS, or PhD in Computer Science, Robotics, Computer Vision, or a related technical field (or equivalent professional experience). - Years of Experience: 5+ years of experience developing and shipping algorithms for image processing, computer vision, or 3D reconstruction. - Coding Proficiency: Expert-level proficiency in python and/or C++. - Domain Expertise: Proven track record in designing solutions for Structure from Motion (SfM), VPS or 3D mapping.. - Frameworks & Tools: Deep experience with Deep Learning frameworks (PyTorch or JAX) and version control (Git). - Required in-office days: 3 days per week Plus If: - Experience in planning and leading technical projects from inception to production. - Significant contributions to open-source CV libraries (OpenCV, COLMAP, etc.). - Experience with CUDA or shader programming for performance optimization. Candidate Privacy Policy 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. If required by law, by submitting my job application I consent to the processing of my information as described in that Notice, including processing information I voluntarily disclose to Niantic Spatial, such as health or medical information, race or ethnicity data, and sexual orientation data and, in limited circumstances sharing information with third parties such as references and other third parties that assist in the hiring process. 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.

Location: San Francisco, CA | Seattle, WA | New York City, NY | 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 Anthropic's Supplier Security & Assurance (SSA) team sits within Security GRC and is responsible for assessing the security of our suppliers: evaluating whether vendors meet our security requirements, capturing the deviations, and giving the business a clear approval decision it can act on. We assess the vendor population a frontier AI lab actually depends on: SaaS and software, human data operations, compute and data center providers, hardware suppliers, and services firms. The program is designed agent-first so that people spend their time on judgment, remediation, and the vendors that matter most. As a member of the Supplier Security & Assurance team you will run supplier security assessments end to end: reviewing evidence, verifying agent-drafted evaluations, determining inherent and residual risk, and driving findings to closure with vendors and business owners. You will also carry the work that extends assurance past the approval, from contractual security terms and secure configuration baselines to continuous monitoring and reassessment, and you will help shape the tooling and requirements the program runs on. Key responsibilities Run supplier security assessments: review agent-prefilled outputs, evaluate vendor controls and evidence, determine residual risk, route to domain reviewers where deeper assessment is warranted Operate supplier issue management and risk treatment: document each finding with a severity, an owner, and a due date, drive remediation with the vendor and the business owner, record risk acceptances, and roll open issues up to the risk register Run continuous monitoring after approval: reopen an assessment on defined triggers (data classification change, new SOC 2 report, new subprocessor, vendor incident), investigate SaaS configuration, data, and use case drift signals, and queue a reassessment where the vendor's scope has moved Improve the program as you run it: identify gaps in coverage, questionnaires, requirements, and tooling that surface during assessments, propose the fix, and carry roadmap items that mature supplier security overall Tune and maintain our Claude-powered assessment platform alongside the team: prompt development, questionnaire and assessment type design, calibration against assessor decisions, and output QA Contribute to KPI and KRI reporting on coverage, cycle time, residual risk, open issues, and reassessments due Minimum qualifications Experience running supplier security assessments end to end at a technology company: scoping the engagement, determining inherent risk, reviewing controls and evidence, documenting residual risk, and driving findings to closure Working knowledge of risk fundamentals (inherent and residual risk, control effectiveness, compensating controls, risk acceptance) and the judgment to apply them when the evidence is incomplete or the answer isn't in a framework Ability to assess a vendor across security domains, and to recognize which findings you can close yourself and which need a security domain specialist Track record of driving risk treatment to closure through influence across teams with competing priorities Experience building or tuning an LLM-backed workflow, agent, or automation in a risk, compliance, or operations context, including tuning prompts and reviewing model output for accuracy Experience building or operating issue management workflows: logging issues with a clear owner and due date, tracking remediation, and escalating when treatment stalls Working technical knowledge of SaaS security configuration (SSO and SCIM, admin scoping, sharing defaults, audit log export) and of standard vendor security contract terms (DPA, incident notification, subprocessors, audit and testing rights) Ability to read a SOC 2 report or penetration test and turn it into findings: identify control exceptions and carve-outs, map complementary user entity controls, and judge what the evidence does and does not prove Preferred qualifications Experience assessing cloud infrastructure, data center, or data-pipeline vendors Experience supporting SOX, SOC 2, or ISO 27001 third party or vendor management controls Experience assessing additional, more specialized vendor cohorts from a security risk perspective: human data operations or data labeling vendors, hardware suppliers, compute providers and neoclouds, and others Experience with post-approval supplier continuous monitoring: configuration, data, and use case drift detection, shadow IT & SaaS detection, vendor incident management, or evidence-based vendor audits/site visits The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $270,000 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: Mont-Joli, Canada À propos de Bradken Bradken est un chef de file mondial dans la conception de solutions innovantes contre l’usure et de produits sur mesure destinés au secteur des ressources. Pour nos quelque 3 000 employés, cette présence mondiale crée des occasions de partager leur expertise, de relever des défis concrets et de progresser grâce à de nouvelles expériences. Ensemble, nous aidons le secteur des ressources à évoluer de façon durable. À propos du poste À titre de Contremaître, post-fonderie , vous superviserez et coordonnerez les équipes du traitement thermique et du nettoyage. Vous veillerez à ce que le travail soit réalisé de façon sécuritaire et efficace, conformément aux exigences de qualité, aux priorités et aux échéanciers de production. Vous jouerez un rôle essentiel sur le terrain. Vous organiserez le travail, communiquerez des directives claires et mobiliserez votre équipe afin d’atteindre les objectifs de production tout en maintenant un climat de travail sécuritaire et respectueux. Il s’agit d’un poste permanent à temps plein, basé sur place à notre usine de Mont-Joli. Le poste suit un horaire rotatif 3-2-2-3 , composé de quarts de 12 heures en alternance de jour et de nuit. Dans ce rôle, vous devrez : Superviser et coordonner les activités des équipes du traitement thermique et du nettoyage selon les priorités de production. Organiser le travail afin que les pièces soient meulées, nettoyées, traitées et emballées dans les délais requis. Diriger les réunions de début de quart, communiquer les priorités et fournir des directives techniques claires aux employés. Veiller au respect des exigences en matière de santé, de sécurité et de qualité, puis assurer le suivi des incidents, des risques et des mesures correctives. Coordonner les besoins en personnel, en matériel et en équipement avec les autres services afin de maintenir le niveau de production requis. Effectuer le suivi des pièces et des activités de production afin de repérer et de résoudre les écarts. Participer aux tournées de plancher, à l’analyse des écarts et aux projets d’amélioration des procédés et des méthodes de travail. Soutenir, mobiliser et développer les membres de l’équipe tout en maintenant un climat de travail respectueux. Ce que vous apporterez : Un DEC en génie mécanique, en métallurgie ou en génie industriel, ou toute autre qualification technique pertinente. Une expérience directe en supervision et en mobilisation d’une équipe de production. Une expérience en planification et en coordination de la production. Une expérience dans le domaine de la fonderie, de la post-fonderie ou dans un environnement industriel comparable. Une expérience en supervision de personnel dans un milieu syndiqué. La capacité de communiquer clairement, de donner des directives techniques et de diriger une équipe en français. La capacité de travailler sous pression, de prendre des décisions et d’atteindre les objectifs établis. La disponibilité nécessaire pour travailler sur place à l’usine de Mont-Joli selon l’horaire rotatif prévu. Remarque : Les candidats doivent avoir le droit légal de travailler au Canada. Bradken n’est pas en mesure d’offrir un parrainage de visa ou de permis de travail pour ce poste. Pourquoi vous joindre à Bradken? Chez Bradken, votre travail compte. Quelle que soit votre fonction, votre contribution aide à résoudre de vrais défis pour nos clients et soutient des activités plus sécuritaires, efficaces et durables dans le secteur des ressources. Vous intégrerez une équipe qui valorise les différentes perspectives, le partage des connaissances et le courage de remettre en question les façons de faire. Nous soutenons votre développement par l’expérience pratique, la formation et les occasions de collaborer avec différentes équipes. La sécurité, le respect et le bien-être passent avant tout. Nous offrons : Une rémunération et des avantages sociaux concurrentiels Une culture où la sécurité passe avant tout Des occasions de formation et de développement Un programme d’aide aux employés et à leur famille Dans le cadre du processus de recrutement, les candidats retenus devront effectuer une évaluation psychométrique ainsi qu’un examen médical préalable à l’embauche comprenant un dépistage de drogues et d’alcool. Nous demandons respectueusement aux agences de recrutement de ne pas nous contacter. Bradken souscrit au principe de l’égalité d’accès à l’emploi. Nous nous engageons à offrir à notre personnel un environnement diversifié, inclusif, mobilisant et flexible. Toutes les décisions d’emploi sont fondées sur le mérite, les compétences, le rendement et les besoins de l’entreprise.

Location: Rotterdam, Netherlands An international B2B SaaS company is looking for a Senior Product Owner to lead one of its most strategic product domains – the integration platform connecting enterprise customer systems. This is a hands-on Product role focused on enterprise integrations, APIs and platform capabilities rather than customer-facing features. You'll own the product area end-to-end, working directly with customers, engineers and technology partners to design scalable integration solutions that automate complex operational workflows. What you'll do - Own the Integration & Platform product area from strategy through delivery. - Define product vision, roadmap and priorities for enterprise integrations. - Translate customer operational workflows into scalable integration logic. - Design product requirements, user stories and acceptance criteria. - Partner closely with engineering teams on API-first solutions. - Drive integrations with ERP, HR, finance, scheduling and other enterprise systems. - Work directly with enterprise customers to understand their processes and validate solutions. - Coordinate with third-party software vendors and technology partners. - Improve customer onboarding, automation and platform adoption. - Define and measure product success through KPIs such as onboarding time, integration adoption, reduction of manual work, data quality and customer outcomes. - Contribute to the evolution of AI-enabled workflows through APIs, webhooks and structured integrations. Requirements - 3+ years of experience as a Product Owner or Product Manager. - Strong experience owning enterprise integrations, API products or platform capabilities in production. - Hands-on understanding of REST APIs, webhooks and API-driven products. - Ability to independently translate customer business processes into technical specifications. - Experience with data mapping, workflow automation and enterprise integration patterns. - Comfortable working directly with enterprise customers and technical stakeholders. - Excellent English communication skills. Nice to have - Experience in B2B SaaS, TravelTech, FinTech or Enterprise Software. - Experience integrating ERP, HR, finance or scheduling systems. - Knowledge of iPaaS platforms such as MuleSoft, Boomi or Informatica. - Exposure to AI-powered workflow automation or intelligent agents. - Technical background in software engineering or integration engineering. Benefits - Ownership of a highly strategic product domain. - Opportunity to shape a platform that directly impacts customer success. - Close collaboration with international enterprise customers. - High level of autonomy and product ownership. - International product and engineering environment. - Hybrid work model (3 days per week in the office). Location - Rotterdam, Netherlands (Hybrid) - Candidates already based in the Netherlands are strongly preferred. - Visa sponsorship is available for exceptional candidates willing to relocate.

Задачи: — Анализировать предметную область, выявлять зависимости между системами, определять границы сервисов и точки интеграции; — Готовить системные спецификации: функциональные и нефункциональные требования (производительность, безопасность, масштабируемость, надёжность), критерии приёмки, User Stories и Use Cases; — Проектировать API и контракты взаимодействий, поддерживать спецификации (OpenAPI/AsyncAPI), согласовывать интерфейсы с разработчиками и смежными командами; — Создавать и поддерживать аналитические артефакты: C4-диаграммы, sequence-диаграммы, ER-модели; — Участвовать в архитектурных обсуждениях, готовить ADR по своим решениям, проходить arch review; — Согласовывать требования с разработкой, QA и эксплуатацией, обеспечивать единое понимание задачи в команде; — Участвовать в груминге, планировании, оценке трудоёмкости, сопровождать задачи до приёмки и релиза; — Помогать QA с критериями приёмки и тест-кейсами, проверять соответствие реализации требованиям; — Поддерживать актуальность документации в Wiki и других системах хранения знаний; — Принимать в зону ответственности закреплённые подсистемы и развивать экспертизу по ним. Требования: — Опыт работы системным аналитиком от 2х лет в командах разработки распределённых систем; — Умение собирать требования у бизнеса, переводить их в формальные спецификации и доводить до разработки без потерь; — Владение практикой проектирования API (REST, gRPC, message brokers) и описания контрактов через OpenAPI/AsyncAPI; — Понимание применения различных способов интеграции: синхронный/асинхронный, очереди, события и их последствий (SLA, консистентность, failure scenarios); — Уверенное владение нотациями UML, C4, sequence-диаграммы; — Понимание SQL и моделей данных, знание нормализации, денормализации и эволюции модели данных во времени; — Умение системно декомпозировать сложное, видеть границы между сервисами на уровне проектирования; — Опыт работы в Agile-командах, понимание ролей и процессов разработки; — Готовность брать ответственность за свои подсистемы и развивать экспертизу по ним; — Будет плюсом: опыт работы с AI-агентами и искусственным интеллектом; опыт работы с микросервисной архитектурой; владение BPMN; знакомство с практиками Domain-Driven Design; умение читать код для разбора реализации.

Location: San Francisco, CA | Seattle, WA | New York City, NY | 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 Claude is used across government, from US federal civilian agencies to national security, state and local, and allied international governments, and nearly every model and product Anthropic ships has public sector work on the end of it. Each of those segments runs under its own regulatory and deployment constraints, so delivering Claude to them means standing up compliant infrastructure with cloud partners, landing new models in restricted environments, bringing our application suite to parity with commercial, and clearing frameworks like FedRAMP, repeated for every segment. We're hiring a Technical Program Manager to own that program. Today that coordination is spread across the public sector product and engineering leads and the many teams they pull in: research, infrastructure, security, compliance, and product engineering. You'll become the single owner of that program, the person who knows where every workstream stands, what it is waiting on, and who needs to decide. Over time, government customers get new models and products on a predictable cadence, authorizations like FedRAMP run as a steady program rather than a one-off push, and each new segment takes less bespoke effort than the last. Responsibilities Own the program for delivering new Claude models into public sector environments: sequencing, dependencies, and tradeoffs across research, inference and capacity, cloud partners, safeguards, and compliance teams Drive FedRAMP and similar authorization programs for Anthropic's public sector offerings, working with privacy, security, compliance, and platform engineering Plan and sequence work across public sector segments, from model and API availability to application parity and segment-specific product work Represent public sector requirements in model launch planning alongside the launch TPMs Establish the operating rhythm: a single view of workstreams, owners, dependencies, risks, and status, with planning, escalation paths, and launch coordination across orgs Convert recurring efforts into documented, repeatable processes so that each new segment or model requires less bespoke coordination You may be a good fit if you Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs Have shipped software or infrastructure into regulated or restricted environments (government clouds, air-gapped deployments, FedRAMP or similar authorization frameworks) and can engage meaningfully with the infrastructure, ML, and security engineers doing the work Have experience coordinating across multiple engineering teams and organizations simultaneously, including research, security, and compliance partners Are highly organized and can manage multiple parallel workstreams effectively across distributed teams Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations Have excellent written and verbal communication skills, with the ability to influence without authority Have worked on public sector, defense, or government cloud programs, or hold or are eligible for a US security clearance (preferred but not required) Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to public institutions safely and reliably Are a US person. We have agreements with the US Government that mandate this for these roles. 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: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Texas; Remote-Florida; Remote-North Carolina; Remote-Arizona; Remote-Georgia 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 The Manager, Sales Engineering – Life Sciences leads and develops a team of Sales Engineers who act as strategic and technical advisors to life sciences prospects and customers. This role combines people leadership with deep industry and platform expertise, ensuring the team demonstrates how automation and AI can transform regulated, complex business processes across pharma, biotech, medtech, and related life sciences organizations. The manager partners closely with sales, product, and customer success leadership to build a high-performing, industry-credible pre-sales function. WHAT YOU'LL DO AT UIPATH - Lead, coach, and grow a team of Sales Engineers focused on the life sciences vertical, setting priorities and holding the team to a consistent standard of technical and industry credibility - Partner with sales leadership to build account and territory strategy, allocate SE coverage, and identify growth opportunities across life sciences accounts - Ensure the team delivers high-quality, industry-specific demonstrations and proof-of-value engagements that show how automation and AI improve regulated business processes - Personally engage on strategic or complex deals as a player-coach, including executive-level conversations and technical architecture discussions - Drive consistency in discovery methodology so the team can quantify business value and uncover automation opportunities across accounts - Represent the life sciences SE team in cross-functional planning with Product, Engineering, Marketing, and Customer Success, feeding field insights back into the roadmap - Champion best-practice sharing across the broader go-to-market organization and represent the life sciences point of view in company-wide SE initiatives WHAT YOU'LL BRING TO THE TEAM - Recruit, hire, and onboard Sales Engineers with life sciences domain expertise, building bench strength ahead of pipeline growth - Set individual and team goals, conduct regular 1:1s, and manage performance including coaching plans and, where needed, corrective action - Own capacity and coverage planning across accounts and deals, balancing workload and career development opportunities - Develop enablement and certification plans so the team stays current on the platform, AI capabilities, and life sciences regulatory and compliance context (e.g., GxP, validation requirements) - Create a feedback loop with the team to surface product gaps and competitive intelligence specific to life sciences - Foster a collaborative, inclusive team culture and support career progression paths for Sales Engineers Required Qualifications - Demonstrated industry domain knowledge in the life sciences vertical (pharma, biotech, medtech, or CRO environments) - Technical architecture skills sufficient to guide the team through complex, regulated solution designs - Track record partnering with sales leadership on account strategy and deal support with Global 2000 enterprises - Strong coaching, hiring, and performance-management skills - Excellent executive communication skills, able to represent the team with customers, partners, and internal leadership - Background in consulting, sales engineering, or automation programs - Willingness to travel up to 25% annually PREFERRED EXPERIENCE - Prior experience managing or leading a team of Sales Engineers, solutions consultants, or technical pre-sales professionals - Prior individual-contributor experience as a Sales Engineer or Solution(s) Engineer selling into life sciences accounts - Experience scaling a pre-sales team through a period of growth - Familiarity with agentic automation, RPA, and AI/ML-driven process transformation #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: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making. In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably. As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust. WHAT YOU'LL DO - Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics. - Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams. - Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase. - Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools. - Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets. - Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency. - Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards. WHAT WE'RE LOOKING FOR - 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production. - Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models. - Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance. - Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains. - Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake. - A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt. - Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models. - Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams. - Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration. NICE-TO-HAVES - Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next GTM Innovation Account Executive About the job As a GTM Innovation Account Executive, within our Specialist Sales organization, you will be responsible for prospecting, solution selling and closing opportunities for new Twilio products. In this role, you will be directly responsible for becoming an essential strategic partner to some of the largest and fastest growing enterprise companies. You will drive pre-revenue growth by validating sales motions, ICPs, and use cases. This role is for highly flexible AEs, with deep integration with Global Sales, Specialist Sales, Product Management, Field Marketing, Finance, and Solutions Engineering teams. Responsibilities In this role, you’ll: Be responsible for acquiring customers for new product offerings across the full Twilio portfolio Own highly analytical and consultative sales cycles with internal and external stakeholders to help customers unlock value from net new product offerings . Ability to multi-thread Enterprise accounts and comfortable building trusted relationships at all levels and acting as a strategic partner to the C-Suite to drive sustained double-digit growth. Work with customers across verticals and regions  to understand their business and technical requirements, partnering with the Specialist Sales organization to bring deep technical and domain expertise to complex deals. Collaborate with Product Specialists, Value Engineering, and Enterprise Strategists to incubate new solutions and accelerate the adoption of Twilio platform. Work with teams in Finance, Legal, Pricing, Product, and Operations to design mutually beneficial contracts to address customer requirements, while balancing the needs of our business. Simultaneously execute multiple projects and deals while maintaining high performance across shifting priorities. Partner cross functionally with Specialist Sales, services, product, and GTM Strategy & Operations to develop long-range territory strategies and sales plans. Act as the voice of the customer to Twilio’s product teams. Establish yourself as a subject matter expert across multiple product categories  with a focus on leveraging deep technical expertise to lead complex, multi-product digital initiatives. Ability to crisply articulate the power of unified GTM organization and how it benefits vertical industry clients by streamlining their strategic relationship with Twilio. Generate and maintain an accurate pipeline and forecast utilizing our CRM, Salesforce Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Possess a total of 12 years of full cycle sales experience, with a minimum of 5 years managing or leading quantitative highly analytical products or solutions for their customers. Directly selling technical SaaS or CPaaS or Data platforms while moving beyond transactional sales into strategic partnerships. Experience outbound prospecting and executing a "total account relationship" strategy to drive profitable revenue growth.  Proven track record in consultative technical solution selling, with a focus on conducting deep discovery to translate complex customer pain points into integrated SaaS and API solutions. Comfortable working with both line of business and highly technical leaders, while influencing their understanding of how integrated data and AI drive business value. Analytical account development strategy based on using data to find opportunities and prove value and making multi-product selling the default for every engagement. Entrepreneurial mindset with appetite to define process and build programs Excellent verbal and written communication skills (English) Desired: Demonstrated track record of managing business forecasts and financial models Record of delivering market driven results, especially to scale and enterprise customers Bachelor’s Degree or equivalent years of experience Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 30-40% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Minnesota or Vermont : $132,192- $165,240. Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the San Francisco Bay Area): $139,000- $174,420. Based in New York, New Jersey, Washington State, or the San Francisco Bay area, California: $146,880 - $183,600. This role may be eligible to participate in Twilio’s equity plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. This role is eligible to earn commissions. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until December 15, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive at Anthropic, you'll partner with the most innovative AI-native companies in their hypergrowth journey, working directly with founders and leadership teams to shape the future of AI adoption. You'll own our most strategic customer relationships, leading complex commercial discussions while driving deep engagement between these pioneering companies and Anthropic's executive team. Responsibilities: Own and deepen relationships with founder/CEO-level executives at the fastest-growing AI companies, serving as their primary strategic partner for AI infrastructure decisions Lead complex, high-stakes commercial negotiations spanning multiple stakeholders, including founders, operators, and venture capital firms Drive strategic alignment between customer roadmaps and Anthropic's product vision, advocating for customer needs at the highest levels of our organization Partner closely with technical counterparts to ensure seamless execution and customer success Identify emerging market trends and opportunities based on a deep understanding of how leading AI companies are building and scaling Develop and execute account strategies that support customers through various growth stages, from early startup to category leader Navigate complex organizational dynamics while maintaining strong relationships across both customer and internal stakeholders You may be a good fit if you have: 15+ years of experience in strategic sales or account management, with proven success managing high-complexity, strategic customer relationships Track record of leading and closing sophisticated commercial deals with multiple stakeholders Experience working directly with founders and C-level executives at high-growth technology companies Strong business acumen and ability to understand technical concepts sufficiently to engage in strategic discussions about AI implementations Proven ability to influence product direction and strategy based on customer needs Excellence in stakeholder management across multiple levels, from technical teams to C-suite Outstanding communication and presentation skills, with an ability to articulate complex value propositions to various audiences Strong candidates may have: Experience working with venture capital firms or understanding of the venture ecosystem Background in consumption-based/usage-based pricing models Experience supporting customers through hypergrowth phases Understanding of the AI/ML landscape and key trends Track record of helping define commercial frameworks for emerging technology markets The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Americas Remote Hi, I'm Paul, VP of Engineering at Customer.io . We're looking for a staff engineer to set technical direction for the systems that move billions of messages a day. This isn't a role about shipping more, faster. It's about deciding what gets built, where the architecture needs to go next, and raising the ceiling for the engineers around you. About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence. What We Value Ownership at company scale You take on the problems nobody has claimed yet — the ones that span squads, have no obvious owner, and would quietly cost us a year if left alone. You either solve them or get leadership aligned to. Engineers with product taste You think like a user, not just an engineer. You connect architectural decisions to what customers actually experience, and you can explain that connection to people who don't write Go. A healthy skepticism for "the way things are done" You retire practices that have outlived their usefulness, including ones you helped build. Best practices matter — but never more than forward motion. Force multiplication Your best quarter isn't measured by what you shipped. It's measured by what the department can now do that it couldn't before. What You'll Do Shape the technical direction of our distributed messaging systems in Go — making the high-level architectural calls on mission-critical services where scale, cost, and reliability are all in tension Take on ambiguous, high-stakes problems that cross squad and function boundaries, and drive them to a decision when the right answer isn't obvious to anyone yet Build consensus on contested technical questions across teams, and communicate the tradeoffs clearly enough that senior leadership can act on them Raise the department's bar — set quality and design standards, mentor senior engineers, and turn what you know into frameworks and documentation other teams can use without you in the room Drive engineering process and tooling improvements that span multiple squads, not just your own Participate in an on-call rotation as required, supporting the reliability of the systems you build Interview and calibrate against our career ladder, giving honest, evidence-based assessments of candidates Use AI agents to make multi-file changes by scoping the work, writing the prompt, and verifying the output What we're looking for 10+ years building scalable, distributed systems in Go (or similar statically typed languages), including several as the person others turned to on architecture Depth across multiple systems or domains, not just one — you've been the recognized expert in more than one place A track record of designing for production reality: you quantify tradeoffs in throughput, cost, and reliability rather than picking a reasonable path and defending it Experience designing observability and recovery as first-class concerns — metrics, alerting, rollback, backpressure, checkpointing — not logging added afterward Comfort working in cloud-native environments (AWS, GCP), with relational databases (we use MySQL) and a real understanding of performance tradeoffs Evidence of making other engineers better: mentorship, technical writing, design review, standards that outlasted your involvement A bias for action over perfection, and the judgment to know which decisions are worth slowing down for Compensation & Benefits We believe in transparency. Starting salary for this role is $200,000 - $240,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. This role also carries a 10% annual bonus target. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Tell us why you're interested. Recruiter Call (30 mins) - Let's chat about what you're looking for and how we work. Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise. Architecture Interview (60 mins) - A collaborative system design conversation focused on scaling challenges, tradeoffs, and failure modes. Take-Home Assignment - Complete a short, realistic task similar to what you'd work on here. Assignment Review Call (60 mins) - Walk us through your work and discuss tradeoffs, priorities, and how you'd iterate. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read and want to build software that makes communication better for everyone—apply now.

Location: Ukraine Workplace: remote Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.   We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.    In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: We are looking for a Mobile Developer to join Creatio’s Mobile Domain team and help build product experiences for users who work on the go. You will work on a cross-platform mobile solution built with Flutter and integrated with native Android and iOS applications. The role combines cross-platform development, native integrations, offline scenarios, and reusable configurable components within Creatio’s metadata-driven platform. This is a hands-on engineering role with ownership at the feature and component level. You will design and deliver features end to end while working with modern engineering approaches, including AI-assisted and agentic development. Responsibilities: Design and implement mobile features end to end across Flutter and native Android/iOS layers. Build reusable components and business features using native device capabilities, REST APIs, and offline scenarios. Own the technical design and quality of delivered features, including data flow, edge cases, and testing. Develop integrations between cross-platform and native functionality using platform channels. Investigate and resolve production issues, including platform-specific, performance, and synchronization problems. Review code and contribute to engineering guidelines, reusable components, and internal tooling. Participate in technical research, prototyping, and validation of new capabilities. Mentor middle and junior engineers through reviews, pairing, and knowledge sharing. Collaborate with Tech Lead, Engineering Manager, QA, and Product teams to define workable technical solutions. Occasionally contribute to backend (.NET/C#) or web (Angular/TypeScript) components. Contribute to AI-assisted and agentic engineering practices within the team. Requirements: Must have 4+ years of professional software development experience, including 3+ years in mobile development. Strong hands-on experience with Flutter and Dart. Experience integrating cross-platform modules with native Android/iOS applications and working with platform-specific functionality. Hands-on experience with JavaScript and TypeScript. Good understanding of state management and unidirectional data flow, such as BLoC. Solid knowledge of Clean Architecture, SOLID principles, dependency injection, and modular design. Experience with REST APIs, JSON, local persistence, and offline/synchronization scenarios. Familiarity with at least one native mobile technology: Java, Kotlin, Objective-C, or Swift. Strong testing practices, including unit and widget testing. Experience with Git, CI/CD, automated testing, and static analysis. Practical exposure to AI-assisted development and agentic workflows, or strong interest in this area. English level: Upper-Intermediate (B2) or higher. Nice to have Backend (C#/.NET) or web (Angular/TypeScript) experience for occasional full-stack contributions. Experience with SDK development, packaging, linting, and unit testing. Experience with metadata- or schema-driven UI. Background in CRM, ERP, field service, or other data-heavy enterprise mobile applications. Experience with native device capabilities and integrations (e.g. geolocation, camera, push notifications, OAuth/SSO), real-time communication, analytics, accessibility, and localization. Experience with enterprise mobility, including MDM/MAM, enterprise distribution, and corporate security requirements. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Poland Workplace: remote Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.   We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.    In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: We are looking for a Mobile Developer to join Creatio’s Mobile Domain team and help build product experiences for users who work on the go. You will work on a cross-platform mobile solution built with Flutter and integrated with native Android and iOS applications. The role combines cross-platform development, native integrations, offline scenarios, and reusable configurable components within Creatio’s metadata-driven platform. This is a hands-on engineering role with ownership at the feature and component level. You will design and deliver features end to end while working with modern engineering approaches, including AI-assisted and agentic development. Responsibilities: Design and implement mobile features end to end across Flutter and native Android/iOS layers. Build reusable components and business features using native device capabilities, REST APIs, and offline scenarios. Own the technical design and quality of delivered features, including data flow, edge cases, and testing. Develop integrations between cross-platform and native functionality using platform channels. Investigate and resolve production issues, including platform-specific, performance, and synchronization problems. Review code and contribute to engineering guidelines, reusable components, and internal tooling. Participate in technical research, prototyping, and validation of new capabilities. Mentor middle and junior engineers through reviews, pairing, and knowledge sharing. Collaborate with Tech Lead, Engineering Manager, QA, and Product teams to define workable technical solutions. Occasionally contribute to backend (.NET/C#) or web (Angular/TypeScript) components. Contribute to AI-assisted and agentic engineering practices within the team. Requirements: Must have 4+ years of professional software development experience, including 3+ years in mobile development. Strong hands-on experience with Flutter and Dart. Experience integrating cross-platform modules with native Android/iOS applications and working with platform-specific functionality. Hands-on experience with JavaScript and TypeScript. Good understanding of state management and unidirectional data flow, such as BLoC. Solid knowledge of Clean Architecture, SOLID principles, dependency injection, and modular design. Experience with REST APIs, JSON, local persistence, and offline/synchronization scenarios. Familiarity with at least one native mobile technology: Java, Kotlin, Objective-C, or Swift. Strong testing practices, including unit and widget testing. Experience with Git, CI/CD, automated testing, and static analysis. Practical exposure to AI-assisted development and agentic workflows, or strong interest in this area. English level: Upper-Intermediate (B2) or higher. Nice to have Backend (C#/.NET) or web (Angular/TypeScript) experience for occasional full-stack contributions. Experience with SDK development, packaging, linting, and unit testing. Experience with metadata- or schema-driven UI. Background in CRM, ERP, field service, or other data-heavy enterprise mobile applications. Experience with native device capabilities and integrations (e.g. geolocation, camera, push notifications, OAuth/SSO), real-time communication, analytics, accessibility, and localization. Experience with enterprise mobility, including MDM/MAM, enterprise distribution, and corporate security requirements. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Remote - US About the Job: LaunchDarkly is redefining how modern software is built and operated. As AI transforms software development, we believe the future belongs to organizations that can move at AI speed while maintaining control in production. We're looking for a strategic external communications leader to help make that vision impossible to ignore. As Head of Corporate Marketing, you'll lead the team responsible for translating our company strategy into a cohesive market narrative that influences customers, analysts, media, developers, and industry leaders. You'll own our external communications strategy across public relations, analyst relations, social media, and executive communications while partnering closely with Product Marketing, Content Marketing, Demand Generation, and our executive team to ensure every external touchpoint reinforces the same story. This role is ideal for someone who thinks beyond communications channels and is energized by shaping markets, influencing industry conversations, and building category leadership. Responsibilities: Partner with executive leadership to operationalize LaunchDarkly's corporate narrative. Increase LaunchDarkly's share of voice and thought leadership across developer and engineering leader audiences technology executives, analysts, and industry influencers. Ensure consistent messaging across communications, product launches, thought leadership, analyst engagements, and executive visibility. Build repeatable processes that align communications efforts around a unified strategic story rather than individual functional priorities. Identify emerging market conversations and flag opportunities for LaunchDarkly engagement.. Lead and develop a team of three spanning Public Relations, Analyst Relations, and Social Media, creating a high-performing organization focused on influence, quality, and business impact. Manage thought-leadership programs for the CEO, CTO, SVP of Product and other key executives to position LaunchDarkly leaders as trusted authorities on software delivery, AI, and modern engineering. Identify speaking opportunities, contributed content, media engagements, and strategic platforms that reinforce our market position. Support analyst relations efforts with Gartner, Forrester, IDC, RedMonk, and other key firms by ensuring consistent, accurate messaging on LaunchDarkly's products and differentiation.. Define and track communications metrics across share of voice, analyst perception, executive visibility, and market influence and surface insights to inform strategy. Qualifications: Typically brings 15+ years of experience in corporate communications, product communications, corporate marketing, or related leadership roles within high-growth B2B software companies and 5 years of leadership experience. Demonstrated success building integrated communications strategies that strengthen market positioning, thought leadership, and executive visibility. Experience leading and developing high-performing communications organizations across multiple disciplines, including public relations, analyst relations, executive communications, and/or social media. Strong point of view on how modern B2B technology companies build market influence beyond traditional public relations. Exceptional storytelling, messaging, and executive communication skills, with the ability to translate complex technical concepts into compelling market narratives. (Preferred) Background in developer tools, DevOps, cloud infrastructure, AI platforms, or enterprise software serving technical audiences. (Preferred) Experience supporting category creation, major market repositioning efforts, or new product category launches. (Preferred) Experience partnering closely with Product Marketing and executive leadership to shape corporate positioning and thought leadership. Specific Requirements: 20% travel required Must be authorized to work in US / Canada (no visa sponsorship / relocation) Bachelor's degree in Marketing, Communications, Business, Journalism, or a related field preferred. Pay: Target pay ranges based on Geographic Zones* for Level M4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870 ** Zone 3: All other US locations - $182,600 - $251,020* * All ranges are inclusive of a 15% bonus LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Munich, Germany 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 Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies Specialised sales industries experience: Public Sector A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) 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: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Architect on the Partnerships team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is looking for an enthusiastic Senior Embedded Engineer to join our Software Organization as part of the Embedded Engineering team. You will work with Hardware, Signal Processing, Manufacturing and Product teams to develop and deliver against Hardware and Software roadmaps. The Embedded team’s mission is to build and deploy stable, accurate, and power efficient firmware platforms for all our in house developed devices via a seamless 24/7 connection and interaction between our mobile apps. At Whoop, the Embedded team is at the intersection of the Hardware and Software domains, bridging the gap between the physical and the digital world. As a Senior Embedded Engineer you will collaborate with a diverse group of the industry’s best and brightest engineers in supporting current products, as well as developing new cutting edge products that help our members achieve their health and fitness goals with industry leading monitoring and data analysis. RESPONSIBILITIES: - Develop and test firmware in C for WHOOP’s product line, including features optimized for low-power performance. - Take ownership of complex firmware features and ensure they meet performance, power, and reliability goals. - Debug and resolve challenging issues across software, hardware, manufacturing, and system integration. - Define, write, and maintain clear technical requirements and documentation. - Participate in code reviews to ensure clarity, correctness, and adherence to coding standards. - Design and improve firmware self-tests, validation tools, CI workflows, and internal development tools. - Support electrical development by evaluating components, bringing up drivers, and contributing to hardware design discussions. - Leverage AI as a development tool and share learnings with the team. - Collaborate with Electrical, Signal Processing, Mobile, and Manufacturing teams to validate designs and refine interfaces. - Mentor teammates by providing guidance on design, implementation, and debugging. - Identify opportunities to improve performance, power efficiency, stability, and reliability across the firmware platform. QUALIFICATIONS: - Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, Computer Science, or a related field. - 5+ years of embedded firmware development experience. - Excellent problem-solving and analytical skills, with the ability to resolve ambiguous issues independently. - Excellent interpersonal, written, and verbal communication skills, with experience mentoring and collaborating across teams. - Strong experience with electronics debugging tools such as oscilloscopes, multimeters, power supplies, and logic analyzers. - Proficient with device driver development and 32-bit RISC architectures such as ARM Cortex. - Proficient in C/C++ programming. - Strong understanding of electrical engineering fundamentals, with proficiency in reading schematics and hardware specifications. - Experience working with operating systems (OS) and real-time operating systems (RTOS). - Strong understanding of system communication protocols such as I2C, SPI, USART/UART, and BLE. - Experience with version control using git and modern CI/CD workflows. - Experience with unit, integration, and functional testing for embedded systems. - Experience with Agile software development practices. - Experience working on high-volume consumer electronics products preferred. - Willingness to act as both a team player and a technical leader. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework. Also check out our AI studio blog here. https://engineering.prod.whoop.com/ai-studio/   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.