Вакансии

Location: Paris; London Workplace: Hybrid TL;DR: Multimodal ML Engineer to train and ship vision, audio, video, and speech models for an AI safety platform handling 100M+ API calls/month. About us White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need. You will - Train and fine-tune large-scale multimodal models (vision-language, audio, speech) from scratch and from pretrained checkpoints - Extend models across modalities: image understanding, video temporal modeling, long-context processing, and streaming audio - Design and run experiments: architecture changes, data mixes, training recipes - Build and maintain multimodal data pipelines — from raw images, video, and audio recordings to training-ready datasets, including synthetic data generation - Train and optimize MoE architectures for efficient multimodal inference - Build alignment pipelines: SFT, DPO, GRPO, reward modeling — across modalities, not just text - Optimize models for production: quantization, distillation, batching, streaming and low-latency serving - Deploy models end-to-end: from research checkpoint to production serving - Define evaluation metrics and benchmarks that actually matter for the product: visual QA, spatial reasoning, video comprehension, speech and audio understanding You’ll fit right in if you - 3+ years training large-scale deep learning models in multimodal domains (vision-language, audio, speech, or acoustic) - Strong PyTorch skills with hands-on distributed training experience (DeepSpeed, FSDP, or similar) - Deep experience with multimodal architectures — you understand how vision/audio encoders, projectors, and LLMs fit together (LLaVA, Qwen-VL, InternVL, Audio Flamingo, Omni Qwen, Audio Qwen, Whisper, HuBERT, Conformer, or similar) - Hands-on with RLHF/alignment for multimodal: GRPO, DPO, reward modelling — not just for text - Experience with video and/or audio sequence modelling: temporal modelling, long-context processing, efficient attention, streaming inference - Track record of shipping models to production: you've hit latency targets and optimized inference, not just reported benchmark scores - Comfortable with large-scale multimodal dataset curation: image-text pairs, video-instruction data, audio preprocessing, augmentation, synthetic data generation - Familiar with MoE architectures and their trade-offs for multimodal workloads - Strong engineering fundamentals: clean code, version control, testing, documentation A big plus - Understanding of audio signal processing fundamentals (spectrograms, mel features, noise reduction) Why White Circle - Competitive compensation package, including equity - Flexible time off - Paid time off in line with your local regulations, no matter where you work from - Work from Paris or London (hybrid) + relocation package for Paris - Best medical insurance in France - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, tools, and services you need - Covered subscriptions for AI agents and IDEs - Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez   Process 1. Introductory call with HR (25 min) 2. Take-home test assignment 3. Technical interview with Head of Applied Research (60 min) 4. Final conversation with CEO (45 min)

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX - Hybrid About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. About the role We are looking for a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks. You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership. What you'll do Architect and evolve a highly scalable, multi-tenant AI/ML platform that seamlessly unifies traditional ML (classification, regression, forecasting) and Generative AI/LLM orchestration. Design and implement robust production-grade AI Agents and Advanced Chatbots. Build reliable execution environments for Multi-Agent Systems, including state management, long-term memory architectures, and Model Context Protocol (MCP) server integrations. Build high-throughput, low-latency application backends and orchestration layers. Partner closely with data, platform, and full-stack engineers to ensure seamless feature delivery and reliable production operations. Act as a technical anchor for the Data Science team – enforcing rigorous engineering standards, leading design and security reviews, evaluating build-vs-buy decisions, and mapping business requirements to robust technical designs. Evaluate trade-offs and drive adoption of modern AI infrastructure tools, optimized embedding pipelines, vector databases, and serverless compute paradigms (such as Workers AI).\ Must-Have Skills Extensive experience as a Senior or Lead ML Engineer, with a proven track record of architecting and operating production-grade ML platforms, services  and distributed backends. Strong competency in Traditional ML lifecycles (feature stores, training pipelines, model monitoring) alongside deep experience in Generative AI patterns (RAG pipelines, context engineering, fine-tuning, guardrailing, and agentic AI systems). Mastery of Python and robust experience with modern backend ecosystems. Familiarity with (or willingness to collaborate on) full-stack technologies like React and TypeScript is highly valued. A builder's mindset. You are comfortable navigating ambiguity, shaping your own technical roadmap, adapt as needed and taking extreme ownership of system reliability, costs, and model performance. Nice-to-Have Skills Technical Leadership & Systems Architecture 3+ years of dedicated ML Engineering experience within a large-scale, enterprise environment (handling petabyte-scale data and working across globally distributed teams). Proven ability to architect, scale, and secure reliable, highly observable distributed systems, with a track record of leveling up platform foundations. Experience mentoring engineers, leading by example through high-quality code and rigorous design reviews, and fostering a culture of technical excellence. Strong problem-solving skills with a demonstrated ability to independently drive complex projects through ambiguous spaces and collaborate cross-functionally with data engineers, full-stack teams, and analysts. AI, LLMOps & Agentic Engineering Hands-on proficiency in building production-grade GenAI applications and multi-agent systems using advanced LLM frameworks like LangGraph, LangChain, or Autogen. Deep understanding of agent harness primitives, state management, memory architectures, and tool-calling loop mechanics. Experience establishing LLMOps foundations, including automated prompt tracking, LLM evaluation pipelines (e.g., Ragas, TruLens), vector database optimization, context/token management, and real-time guardrailing/moderation layers. Deep experience in scientific computing using Python (Scikit-Learn, PyTorch, or TensorFlow) and deploying traditional systems for end-to-end training, batch/real-time inference, and model observability. Infrastructure, Cloud & Data Platforms Strong experience with Docker and Kubernetes for containerization and orchestration, alongside Infrastructure-as-Code tools like Terraform and public cloud ecosystems (GCP, AWS, or Azure). Hands-on experience with modern MLOps platform tools (e.g., Airflow, Argo Workflows, ArgoCD) and data systems including BigQuery, Postgres, and robust ETL/ELT practices. Experience with full-stack web technologies and serverless/edge environments (FastAPI, TypeScript/JavaScript, Cloudflare Workers), with the agility to contribute across a multi-language stack. Strong foundation in continuous integration/continuous deployment (CI/CD), testing frameworks (Pytest), and robust version control practices. Education & Communication M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. Exceptional written and verbal communication skills, with the ability to translate complex technical architectures into clear concepts for both engineering peers and business stakeholders. Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote in the United States or Canada (East Coast/ET) Workplace: Remote At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. It's always peak hour somewhere: with infrastructure and customers spanning every continent, a Sanity SRE makes sure the platform we build is scalable and fast, safe to deploy, and inspiring to use. The scale is real: Content Lake alone handles around 75,000 requests a second, about 4.5m a minute, and companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, Arc’teryx, and Morningbrew run their content operations on it. Our stack is built on a mix of the tried and tested and the bleeding edge. The core technologies we currently use include Kubernetes, Prometheus, ElasticSearch, PostgreSQL, NATS, Kong, Fastly, and Google Cloud Platform. The SRE role involves close partnership with our development teams to design and build infrastructure that supports our goal: to be the best platform for authoring, processing, and distributing content worldwide in real time. You will work close to the metal on the security, stability, and performance our customers have come to expect, and help raise the reliability bar as we grow. WHAT YOU WOULD DO: - Design, build, and operate the shared platform foundations engineers ship on every day: GCP infrastructure, Kubernetes, networking, routing, CI/CD, and observability. - Diagnose and troubleshoot complex distributed systems running at high request volume. - Ensure observability and analyze the behavior of our stack. - Contribute to in-flight work like modernizing our edge, caching, and gateway layers onto Fastly and tightening observability across the platform. - Raise the reliability bar through better dashboards, alert severity, paging standards, on-call readiness, and incident response. - Make deployment boring in the best way: build golden paths, production readiness checks, safe rollouts, and useful automation so engineers have fewer places to look before they ship. - Mentor engineers and raise the technical bar through code review, design review, and pairing. - Participate in our on-call rotation and help our developer on-call rollout land well. ABOUT YOU: - Based in the United States, with reasonable overlap with European engineering hours. - Experience with SRE/DevOps tools, processes, and culture. - 5+ years of experience as part of an SRE on-call rotation. - Analytical approach to designing, diagnosing, and optimizing infrastructure. - Experience with managing scalable, highly available, cloud-based applications, ideally with high request volume and customer-facing uptime expectations. - Experience with Kubernetes for orchestrating, scaling, and managing containerized applications in cloud-based environments. - Experience building CI/CD pipelines. - Experience with an observability stack (Prometheus, et al.). - Comfortable working across CDNs, edge, gateways, and caching layers, or eager to go deep there. - You improve on-call and reliability by building systems, standards, and feedback loops that make production healthier over time. - You are comfortable dealing with incidents and outages and have built a practical, thoughtful communication style for handling high-pressure situations. - An open but considered approach to new technologies. There are many roads leading up to being an SRE. Our team is already a mix of self-taught and formally educated people. Don't self-select out! WHAT WE CAN OFFER: - A highly-skilled, inspiring, and supportive team - Real infrastructure scale and meaningful, hands-on work changing how it runs - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive stock options program and location-based salary WHO WE ARE: Sanity.io http://Sanity.io is a modern content operating system that replaces rigid legacy content management systems. We treat content as data, so teams can keep one governed source of truth and adapt it across websites, apps, workflows, and AI agents with less duplicated content work. Sanity recently raised an $85m Series C led by GP Bullhound and is backed by ICONIQ Growth, Threshold Ventures, Heavybit, Shopify, and founders from Vercel, WP Engine, Twitter, Mux, Netlify, and Heroku. Sanity is a 300+ person company with committed, ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type 2 fun. Read more about our values here. Sanity.io http://Sanity.io pledges to be an organization that reflects the globally diverse audience our product serves. We believe that hiring the best talent and bringing together a diversity of perspectives, ideas, and cultures leads to better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Location: Munich Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Customer Success Manager at Harvey, you will own value realization for customers, helping to define the future of legal work at top enterprises and leading law firms. You’ll act as a trusted expert and guide customers through the process of integrating AI into the daily workflows of lawyers and other professionals. You will not only help customers to identify use cases for Harvey, but also help transform the practice of law. You’ll deeply integrate Harvey into your customers' business processes and workflows, build lasting relationships, and partner with Account Executives to renew and expand Harvey’s strategic partnerships. WHAT YOU’LL DO - Onboarding: Integrate Harvey into customer workflows, guide administrators with data-backed best practices, ensure optimal use of our AI solutions. - Training & Enablement: Champion the power of Harvey as you meet with end users and position Harvey as essential to strategic legal work. - Relationships: Navigate complex organizations as the primary contact, foster champions, engage executive buyers, and build loyal Harvey advocates. - Success Metrics: Align with customers on adoption rates, measurable value, and positive AI experiences to ensure customer value realization and ROI. - Expansion and Renewal: Collaborate with Account Executives to maintain customer renewal readiness and leverage customer needs to drive expansions. - Product Feedback: Represent customer needs internally and relay insights back to Product and Engineering, continuously improving the Harvey platform WHAT YOU HAVE Ideal candidates for the Enterprise CSM role at Harvey can demonstrate comfort and experience with the following qualifications: - 3-4+ years in customer-owning roles at tech or SaaS platforms - Adapting seamlessly in the face of high-speed change and growth - Strategic planning, revenue-based prioritization - Managing customer-facing projects and timelines - Running in-person meetings w/ executives - Mapping an organization and influencing stakeholders - Driving key customer metrics and outcomes - Owning a revenue, expansion, and renewal target - Demonstrating a strong point of view and proactive self-management - Working cross-functionally with Product and Sales teams DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LE1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain, Germany or Ireland. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience.1 In Ireland, the Base compensation range for this role is € 121,128 - € 145,354 Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

MDiet — early-stage HealthTech стартап, разрабатывающий AI-powered платформу, которая помогает снижать количество повторных госпитализаций пациентов. Продукт ориентирован на рынок здравоохранения США. Возможна релокация в США при успешном росте компании, обсуждается индивидуально. Tech Stack: • LangGraph + LangChain / Agentic AI • vLLM + Hugging Face • PyTorch + PEFT / LoRA / QLoRA • Vector databases: pgvector, Qdrant, Weaviate, Chroma, Pinecone • Advanced RAG, Prompt Engineering, Embeddings • FastAPI + PostgreSQL • Docker + Kubernetes + async processing: Arq / Celery / Redis Streams • Apache Airflow для data pipelines • AWS Cloud: EC2, S3, SageMaker, Lambda, RDS, Bedrock • Structured output: Outlines / Guidance / Instructor • Evaluation & observability: Langfuse, RAGAS / DeepEval, Prometheus + Grafana • MLOps practices Задачи: • Проектирование и разработка multi-step LLM agents и pipelines для обработки медицинских данных • Разработка production RAG-систем с высоким уровнем grounding и качеством citation • Деплой и оптимизация self-hosted LLM inference через vLLM с фокусом на cost и throughput optimization • Fine-tuning open-source моделей на domain-specific medical data с измеримым улучшением результата • Построение data pipelines и versioning для документов, embeddings и training data • Создание evaluation frameworks, guardrails и систем контроля hallucinations • Реализация reliable structured output и data extraction • Тесное взаимодействие с physicians и Platform Architect Требования: • Сильный hands-on опыт с production LLM systems: RAG, agents, inference • Опыт fine-tuning open-source LLMs: LoRA / QLoRA / PEFT, с измеримыми результатами • Опыт построения data pipelines и versioning для LLM / RAG workloads • Сильные навыки в evaluation, hallucination reduction и structured output • Production Python + FastAPI + async processing • Опыт с self-hosted inference: vLLM или аналогичные решения • Опыт GPU optimization • Английский язык на уровне C1: strong written and spoken communication skills • Bachelor’s degree или выше в Computer Science, Artificial Intelligence, Machine Learning, Data Science или смежной технической области • 5+ лет опыта в ML/AI • 1.5–2+ года опыта в production LLM projects • Опыт с MLOps Будет плюсом: • Опыт в medical / clinical NLP или regulated domains • Cost modeling и optimization of LLM workloads • MLOps и production fine-tuning pipelines • Apache Airflow, Prometheus / Grafana или AI Solution Architecture • Publications in relevant fields Условия: • Работа в early-stage HealthTech startup с продуктом для US healthcare market • Возможность участвовать в создании AI-powered платформы с реальным влиянием на healthcare-процессы • Офисный формат в Астане первые 7–9 месяцев, далее возможен hybrid/remote • Зарплата $4 000 – $5 000 USD gross + equity • Возможность релокации в США при успешном росте компании, обсуждается индивидуально

Location: Cairo, Egypt; Alexandria, Egypt Workplace: hybrid Yassir is the leading super app in the Maghreb region, set to change the way daily services are provided. It currently operates across Algeria, Morocco, Tunisia, South Africa and Senegal. It is backed by ~$200M in funding from VCs across Silicon Valley, Europe and other parts of the world.   We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally — helping usher the continent into a digital economy era. We’re not just about serving people; we’re about creating a marketplace that brings people what they need while infusing social values. ABOUT THE ROLE We are looking for a Senior Product Manager to own the Personal Banking experience — our consumer wallet and the financial products that sit inside the Yassir super app. This is a B2C role at the centre of our financial services strategy. Your core mandate is adoption: getting millions of Yassir users to fund, hold, and transact with the wallet — first inside the super app (rides, deliveries, top-ups), and then beyond it (peer-to-peer transfers, bill payments, merchant payments in the real world). You will own the full consumer journey from first wallet activation to habitual, everyday use. You will work across engineering, design, growth, and the wider super app teams to make the wallet the default way Yassir users move money — turning an existing, trusted user base into active financial services customers. RESPONSIBILITIES Own the personal banking / consumer wallet product end-to-end, with adoption and active usage as your primary success metrics. Define and execute the strategy to drive wallet activation, funding, and repeat transactions — both within the super app (rides, deliveries) and in external use cases (P2P, bill payments, merchant payments). Design acquisition and activation funnels in partnership with growth and marketing; identify and remove the friction points that stop users from funding and using the wallet. Deeply understand the Algerian consumer — cash habits, trust barriers, and the behavioural shifts required to move people from cash to digital money. Run discovery: customer interviews, journey mapping, prototyping, and experiments to validate what will actually drive adoption at scale. Translate customer insights into a prioritised roadmap of features and experiments, tested with real users in market. Partner with engineering and design to ship high-quality consumer experiences — onboarding, KYC, top-up, send/receive, and transaction history — that feel effortless and trustworthy. Leverage Yassir’s existing super app surfaces (ride-hailing, delivery, agent network) as distribution channels for wallet adoption. Instrument the product with analytics; use funnel data, cohort retention, and transaction behaviour to make evidence-based decisions. Synthesise business, market, and customer needs into strategic, evidence-based recommendations for leadership. Facilitate agile ceremonies and keep the squad delivering against roadmap and quality goals. REQUIREMENTS Minimum 5 years of product management experience, with a strong track record in B2C fintech, digital banking, wallets, or payments. Proven experience driving consumer adoption and engagement of a financial product — you have moved activation, retention, or transaction metrics, not just shipped features. A track record of launching and scaling consumer-facing digital products (B2C). Strong grasp of acquisition, activation, retention, referral, and revenue — and how to design a product that grows across that funnel. Experience with growth mechanics: onboarding optimisation, funnel analysis, experimentation, and retention loops. Understanding of the technical aspects of digital product development, with the ability to work closely with engineers and get the best out of them. Ability to create and run a customer discovery process — interviews, journey mapping, and ideation workshops — to surface real user pains and opportunities. Strong understanding of value proposition design and what makes a consumer product succeed. Ability to integrate analytics into a product to generate actionable insight, and to define the right metrics for a consumer wallet. Excellent verbal and written communication, with the ability to influence stakeholders at all levels; presentation and storytelling skills. Strong design sense and the ability to collaborate with designers to produce great consumer experiences. Knowledge of modern development practices like agile and scrum. Dependable, enthusiastic, curious, with great energy and the ability to thrive in a fast-paced, dynamic environment. Based in Cairo, Egypt (required). Native Arabic speaker with fluent English; French is a huge plus. NICE TO HAVE Experience taking a wallet or consumer fintech product from low to mass adoption in an emerging or cash-heavy market. Understanding of behavioural psychology and how to design for high engagement and stickiness. Knowledge of lean startup techniques and what a good MVP looks like for consumer products. Experience working with super apps, marketplaces, or multi-product ecosystems. Prior experience in a scale-up environment. At Yassir, we believe in the power of diversity and the importance of an inclusive culture. If you’re ready to bring your unique perspective and experiences to the table, we’re excited to listen. Don’t just apply for a job - come and be a part of our journey. Let’s create a better tomorrow together.

Location: New York, New York; San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion's Business Development team accelerates product distribution and platform growth through partnerships. This role has the potential to drive outsized scope in Notion's journey - we’re partnering with some of the best companies in the world and turn momentum into first-in-kind deals and scaled programs that result in delightful experiences for our customers, and growth for Notion. As Business Development Manager, you'll be the ecosystem partner to our engineering and product teams, launching and deepening integrations with frontier intelligence platforms and the tools our customers already use. You'll be the voice of partners within Notion, shaping our product roadmap and driving adoption of new APIs and developer tools in the ecosystem. You'll also get to design and execute growth strategies that drive new user demand and own relationships with some of our strategic partners like OpenAI, Anthropic, Slack, and Google. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.     WHAT YOU'LL ACHIEVE: - Scale the Notion platform: In close collaboration with partners and Notion’s product and engineering teams, identify, evaluate and facilitate launch of new product integrations. Project manage partner-centric launches - from partner onboarding and implementation, to driving go-to-market and post-launch tracking. - Drive partner strategy: Own and grow relationships with select strategic partners, becoming their voice within Notion. Identify, evaluate and implement new product and co-marketing opportunities that create outsized value for partners, Notion and our shared customers. - Be the best partner to the best partners: As an internal advocate for Notion’s partners, ensure their needs are being considered and reflected in our roadmap and planning. Provide ongoing support to grow our strategic relationships. - Accelerate distribution partnerships: Source, evaluate, and launch first-in-kind partnerships that drive new user demand for Notion. From negotiation to launch and performance tracking, turn successful deals into scalable programs based on adoption and revenue signals.     SKILLS YOU'LL NEED TO BRING: - 7+ years in business development / strategic partnerships / product / growth - Strong product instincts and experience working closely with engineering, product and go-to-market teams - High agency and comfort operating in ambiguity. You can drive clarity where a playbook doesn’t exist yet - Operational rigor, ability to execute end-to-end and manage complex cross-functional projects - Strong communication and negotiation skills. You can tell a clear and compelling story in docs, decks, and in person   NICE TO HAVES: - You've been an early go-to-market or product hire at a fast-growing company before - You have fluency working with ISVs and across developer ecosystems - You’ve built partnerships across multiple regions (AMER, EMEA, APAC)   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $185,000 - $210,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. At Toters, technology is at the heart of everything we do. Our product teams build features that simplify customers’ lives, while our engineers create scalable solutions to deliver faster and more cost-effectively. If you thrive in a high-growth startup environment and want to help reshape how people shop across the Middle East, join us. Role Overview As a Senior Offensive Security Engineer (L5), you will own complex offensive security initiatives that span multiple teams. You will lead advanced penetration testing, red team exercises, and adversarial simulations to uncover systemic weaknesses in our web applications, APIs, mobile apps, cloud infrastructure, identity, payment-adjacent flows, and overall attack surface. You will act as a hands-on technical leader : influencing secure design decisions with evidence, mentoring mid-level and junior offensive engineers, and driving improvements that meaningfully reduce risk. Description In this senior role, you will take end-to-end ownership of offensive security efforts with a focus on high-impact outcomes. Your responsibilities include: Lead comprehensive penetration tests and red team / assumed-breach exercises targeting web applications, APIs, mobile applications, cloud infrastructure, and authentication systems (including identity and privileged-access paths). Lead mobile offensive testing on Android and iOS, including evaluation and bypass/validation of runtime protection, tamper resistance, certificate pinning / Certificate Transparency, and key/secret shielding using DexProtector or similar RASP / app-shielding tools, plus complementary tooling such as MobSF. Perform in-depth threat modeling and identify complex attack paths across services and trust boundaries (including authorization flaws, tenant isolation, token/session issues, edge/WAF bypass, and client-secret exposure). Deliver high-quality security assessment reports with clear risk ratings, business impact analysis, practical remediation guidance, and evidence quality that engineering and audit stakeholders can use in a SOC 2 and PCI DSS context—then re-test and validate fixes before closure. Collaborate with Engineering, DevOps, Product, and the Security Engineer track to influence secure architecture decisions and ensure vulnerabilities are addressed at the root cause. Develop and improve offensive security methodologies, tools, and automation to increase efficiency and coverage. AI-assisted testing is a must. Mentor mid-level and junior offensive security engineers, conduct offensive-focused code/design reviews, and help raise the overall security capability of the team. Participate in purple team exercises with the detection and incident response teams to improve defenses based on real attack simulations. Stay at the forefront of offensive security research, emerging threats, and TTPs, and assess their relevance to Toters. Contribute offensive input to security standards, policies, and secure development practices across the engineering organization (you advise; you do not own policy issuance or GRC evidence packs). Support structured disclosure (VDP / researcher reports) through reproduce, rate, de-duplicate, and validate. Key Qualifications Bachelor’s degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience. 6+ years of hands-on experience in offensive security, penetration testing, or red teaming. Strong expertise in web application, API, and mobile security testing (Android and iOS). Working knowledge of DexProtector or similar mobile shielding / RASP tooling: what it protects, how testers evaluate residual risk, and how to validate that hardening holds. Advanced proficiency with offensive security tools (Burp Suite, Metasploit, Cobalt Strike or equivalent adversary-emulation platforms, custom tooling, etc.). Proficient in writing robust, reusable scripts and small tools for automation (Python preferred, Bash for quick tasks). Solid experience with cloud security testing (AWS preferred) and infrastructure attack techniques. Proven ability to lead complex security assessments from scoping to reporting and remediation validation. Strong risk assessment and threat modeling skills, with the ability to communicate technical risks clearly to both technical and non-technical stakeholders. Familiarity with SOC 2 and PCI DSS as they apply to offensive work (scoped pentests, application/API/payment-adjacent testing, evidence-quality reporting). This role does not own control design or audit evidence collection. Experience mentoring engineers and influencing cross-team security practices. Excellent written and verbal communication skills in English. Nice to Have Industry-recognized certifications such as OSCP, OSCE, OSEP, CRTO, or PNPT. Experience running full-scope red team or assumed-breach exercises. Experience developing custom exploits, tooling, or automation for offensive security. Knowledge of MITRE ATT&CK and adversary emulation. AI and AI pentesting: testing LLM/agent applications (prompt injection, tool/plugin abuse, data-exfil via agents) and using AI-assisted pentest workflows with mandatory human review. Previous experience in high-scale e-commerce, delivery, or fintech environments, including payment API / tokenization / third-party PSP testing as a tester (not as PCI control owner). Fluency in Arabic and English (French is a plus). What We Offer Competitive compensation package. Discounts on Toters orders. First-class medical insurance. Ready to own offensive security at scale and help build a safer platform for millions across the Middle East? Apply now!

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s the opportunity? As an Enterprise Business Development Representative, you will play a critical role in driving revenue growth for the Fin Sales organization through strategic pipeline generation within our enterprise segment. Based in our San Francisco office, you will be at the forefront of Fin’s expansion across North America, engaging with senior stakeholders at large, complex organizations and helping them see how Fin can transform their customer experience. We invest in our BDRs. We strongly believe in giving our team the opportunities to grow & develop at Fin, to push themselves outside of their comfort zones to achieve goals they never thought possible. In joining the Business Development team at Fin, you join a community that believes in development and promotion from within. We’re looking for people who are excited to work in a fast-moving company, make an impact, and rapidly develop their career in enterprise sales. As a BDR team, we empower one another to achieve our goals, exceed expectations and continue to deliver real business impact. We’re looking for a teammate to do the same! What will I be doing? Owning and prioritizing a named book of enterprise accounts (2,000+ employees) in partnership with Enterprise Account Executives across North America Generating new business pipeline through high-quality, multi-threaded outreach across phone, email, LinkedIn, and events, targeting multiple stakeholders within the same account Engaging senior and executive-level buyers (VP, C-Suite) with relevant, insight-led messaging tailored to their business and industry Running account-based prospecting strategies — not just single-prospect outreach — building a view of the full buying group before engaging Providing a best-in-class experience for Fin’s prospective enterprise customers throughout the outbound process Maintaining deep knowledge of Fin’s product, enterprise use cases, and market positioning Partnering with Enterprise AEs to align on account strategy, territory planning, and pipeline reviews Working cross-functionally with Marketing, Sales Operations, and Product to improve processes that directly impact enterprise pipeline generation and conversion Engaging in team development and mentoring of newer BDR teammates What skills do I need? Strong desire to build a career in sales, with a goal of growing into an Account Executive or senior closing role 1+ year of customer-facing work experience (Sales and/or SaaS experience is a +); enterprise experience strongly preferred Enterprise Prospecting Skills Knows how to run account-based outreach: researching a target account, mapping the buying group, and building a multi-thread strategy before outreach — comfortable engaging VP and C-level contacts across complex organizations Operational Excellence Manages a large account list effectively; knows how to prioritize activity to drive the most pipeline and maintains strong CRM hygiene Market & Industry Knowledge Brings solid knowledge of the enterprise SaaS landscape and Fin’s key verticals; stays on top of industry news and uses it to sharpen outreach Communication Crafts compelling, concise messaging for executive audiences across channels and personas; listens effectively and works closely with their AE Growth Mindset Self-aware, with a clear sense of strengths and areas for growth. Sees every day as an opportunity to be 1% better. Proactively seeks feedback. Results Oriented Brings a never-settle approach to quota, progression, and team development. Motivated to succeed and raise the bar for those around them. Bonus skills & attributes Bachelor’s Degree preferred Familiarity with these systems and tools: Salesforce (SFDC), Outreach, 6sense, ZoomInfo, LinkedIn Sales Navigator, Cognism *Proof of eligibility to work in the United States is required. The pay range for candidates within the San Francisco Bay Area is $41.96 - $53.23 per hour, along with incentive compensation ranging from approximately $27,810 - $33,218. For full-time employment, the estimated all-in annual compensation range (OTE) is $87,287 - $110,725. Actual hourly rate will depend on a variety of factors such as education, skills, experience, location, and other relevant considerations. The hourly pay rate and incentive compensation is subject to change and may be modified in the future. This range is a good faith estimate only; actual compensation will vary based on hours worked and individual and company performance. This is a non-exempt, hourly position, and employees in this position are therefore eligible for overtime compensation in accordance with applicable law. All regular employees may also be eligible for the corporate bonus program or a sales incentive, as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Remote - Argentina; Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking an AI Workflow Engineer ! About the Role: Backblaze is running a company-wide AI transformation program, and this role is where strategy becomes something you can actually use. As AI Workflow Engineer, you will be the hands-on builder inside the AI Program Office - embedded alongside the Director, AI Enablement, and deployed into non-GTM, non-Engineering business teams to prototype, build, and ship AI-powered workflow solutions that make a measurable difference in how work gets done. This is not a research role or a strategy role. You will spend your time building: prompt architectures, automation flows, lightweight agents, API integrations, and demos that help a business team see - concretely - what AI can do for them. You will move across functions, which means you need to understand how businesses actually operate. The ideal background is someone who started in a business-facing role - finance, operations, marketing, customer success, HR - and developed serious hands-on AI and automation skills on top of that foundation. You will work closely with the Director, AI Enablement, who owns the program management and delivery layer. Your job is to make their scoped solutions real - fast, iteratively, and with enough rigor that what you build can go to production. What You Will Do: Build and Ship AI Workflow Solutions Take scoped use cases from the Director, AI Enablement and build working solutions: prompt layers, automation flows, lightweight agents, RAG implementations, and API integrations that connect AI tools to the systems business teams already use Build working prototypes quickly - the goal is to show a team what is possible in days, not weeks, then refine based on what actually lands Translate a documented workflow assessment into a technical design, select the right tools for the job, and own the build through to a deployable solution Maintain solution documentation that is clear enough for handoff, iteration, and audit - not just for engineers, but for the business owner who will live with it Embed in Business Teams Spend time inside the functions you are building for - Finance, HR, Legal, Marketing Ops, Customer Success, and others - understanding how the work actually flows before you redesign it Run working sessions with team members to map current-state workflows, surface friction points, and identify where AI creates real leverage versus where it creates noise Build credibility with non-technical stakeholders by showing them working solutions, not decks - and by being honest about what will and will not work Support user acceptance testing and early adoption, troubleshooting issues close to launch and iterating based on real usage Support the AI Program Office Build demos and proof-of-concepts that help the Director, AI Enablement make the case for a use case - or disqualify it early before resources are committed Contribute to vendor and tool evaluations with a builder's perspective: not just whether a tool claims to do something, but whether it actually works in the context of a specific workflow Feed learnings from the build process back into the program - what worked, what did not, what should be standardized across functions Work on tactical quick wins and longer-horizon strategic builds at the same time, switching contexts across active use cases as priorities shift What Success Looks Like (First 90 Days) You have completed at least one workflow assessment alongside the Director and produced a working prototype from it At least one solution you built is in active use by a business team, with a named owner and feedback loop in place You have worked inside at least two different business functions and understand their core workflows well enough to identify the next use case without being told The Director, AI Enablement trusts you to own the build layer independently - scoping conversations happen together, execution happens with you driving The Right Fit: 2-4 years of experience that includes meaningful time working inside a business-facing function - operations, finance, marketing, customer success, HR, or similar - not just in Engineering or IT Hands-on experience building with AI tools: prompt engineering, automation platforms (Make, Zapier, n8n, or equivalent), API integrations, and at least working familiarity with RAG architectures and agent frameworks Proven ability to take a messy real-world process, understand it from the inside, and build something that makes it faster or better - not just technically cleaner Comfortable working with non-technical stakeholders: you can explain what you are building without jargon, gather requirements without a formal spec, and manage expectations when a prototype needs three more iterations Strong enough with code or no-code tools to get solutions to a deployable state independently - you do not need an engineer to ship your work Able to manage multiple active projects at different stages without dropping anything - a quick win in HR this week does not mean the Finance automation waits Genuinely curious about how companies work: the org chart, the incentives, the handoffs, the bottlenecks. This is what separates a good AI builder from a great one in a business context Bonus Points For: Direct experience working in or closely with G&A, Finance, Legal, Marketing Ops, or Customer Success teams - you have lived in the workflows you will be redesigning Familiarity with AI governance basics: data handling, PII awareness, and when a use case needs a security or privacy review before it ships Experience working in a small program or startup environment where you wore multiple hats and shipped without a lot of process overhead Experience in cloud infrastructure, SaaS, or storage companies - comfort with technical products and the teams that build them A portfolio, GitHub, or examples of AI workflows or automations you have built - something you can show, not just describe At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice. #LATAM

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We are seeking a Marketing Analytics Director to lead the evolution of our marketing data stack and raise the analytical rigor of the entire marketing organization. This is a critical role for a builder-practitioner who works at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations. You won't just report on the funnel. You will build the systems that make every analyst on this team sharper, including the AI agents themselves. As the Marketing Analytics Director , you will be the lead architect of our data-driven growth engine, connecting high-level strategy with advanced technical execution. You will move beyond traditional reporting to build a self-sustaining marketing ecosystem, leveraging Google BigQuery, Grafana, and agentic AI to create a unified source of truth and a culture of analytical rigor. Your mandate is to move the needle on demand generation across the entire marketing funnel, while raising the standard for how analytical work gets produced, challenged, and shipped across the org. You will architect a dual-track target-setting framework that balances high-velocity top-of-funnel growth with deep-funnel quality, ensuring GTM resources are directed toward high-converting user cohorts optimized for Grafana adoption and long-term retention. You will be expected to engineer the underlying data schemas, design predictive models, and implement the BI frameworks that shape our global GTM strategy. We are looking for a technical expert who can translate complex data into clear executive-level direction and who proactively builds systems that prevent AI-generated noise from drowning out actual signals. What You'll Be Doing Strategic GTM Partnership: Serve as the primary strategic partner to the GTM Leadership team (VP of Demand Gen, VP of Regional and Events, Head of Marketing Ops, CMO, Revenue Operations, Sales leadership and more), translating complex data into a clear roadmap for demand generation and revenue growth. Dual-Track Target Setting: Architect and own a sophisticated forecasting framework that balances top-of-funnel volume with high-intent lead quality, optimized for Grafana Cloud conversion and retention. Predictive Modeling and ROI: Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest-ROI channels. Data Warehouse Architecture: Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints. Causal Inference and Inflection Hunting: Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a regional dip, or a campaign that overperformed, isolate the window and dig in. Executive Storytelling: Transform technical data outputs into clear, compelling narratives for the executive team and board. Deliver a succinct read and go deep where pushed. Utilizing AI and Automation Agentic Insights: Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue. Autonomous Workflows: Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies. Predictive Quality Scoring: Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume, helping Sales and Marketing prioritize effectively. What Makes You a Great Fit 8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity (IC track or player-coach; people management not required) within a high-growth SaaS or PLG environment. Demonstrated history as a force multiplier. You can point to specific tooling, rituals, evaluator systems, or frameworks you built that made other analysts or the broader org measurably better. A portfolio of dashboards you personally produced is not sufficient. Data Science and Engineering: Mastery of SQL and Python required. Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses. Hands-on AI fluency as a builder, not a user. You have built and shipped agentic systems with Claude Code, MCP, or comparable tools. You understand where LLMs fail and how to design around those limitations. You have built evaluator agents, prompt-grading systems, or analytical quality tooling in production. Automation Proficiency: Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling. Visualization and BI: Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau) to build executive-grade dashboards. Strategic Acumen: Proven ability to create structure in highly ambiguous environments and build target-setting frameworks from scratch. MarTech Ecosystem: Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams. Executive presence with experience presenting to executive and board audiences, including sound judgment about what data is and isn't ready to share up the chain. Bonus Points For Education: Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics). MBA or MS in Data Science is a significant plus. In the US, the OTE compensation range for this role is $ 178,503 - $ 214,203. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: In this strategic role within Professional Services, you would define, prioritize, manage, and deliver a portfolio of projects that will reduce implementation timelines while improving quality, efficiency, and profitability for Reltio, our channel partners, and our customers. The role covers all customer-facing, partner-facing, and internal processes within Professional Services. Job Duties and Responsibilities: Overall project governance and success, including management of Reltio activities, deliverables, and sign-offs Adherence to The Reltio Way Delivery Methodology Lead teams of architects, consultants, and developers, onshore and offshore, remote and on-site, through the successful delivery of Reltio capabilities Manage several engagements concurrently Proactively manage each engagement’s financials, scope, schedule, and status on an ongoing basis Management of customer product issues and enhancement requests Infrastructure and platform oversight, including escalation of product issues Coordination with Product Management, Customer Success, Dev Ops, and Engineering if needed Develop meaningful, trusted relationships with partner resources Develop meaningful, trusted advisor relationships with Customer executives Communicate technical and business concepts to non-technical audiences Be the face of Reltio to each Customer on a day-to-day basis Identify upsell and cross-sell opportunities at your engagements Develop repeatable assets such as methodologies, tools, and templates for the betterment of the practice Other duties and responsibilities as assigned. Skills You Must Have: Bachelor of Science degree in Business, Engineering, or equivalent At least 5-8 years of enterprise-level experience in project management, leading and delivering moderate to complex solutions Ownership of at least 2 end-to-end implementations of Enterprise MDM software applications such as Informatica, SAP, Oracle or equivalent Technology experience or awareness in the following: ERP, accounting systems, provisioning systems MDM solutions NoSQL, Graph databases, JSON Web Services, XML, SOAP, REST Cloud integration tools, including SnapLogic, Mulesoft, or Informatica Object-Oriented software application design and development - Java Ability to travel up to 50% (Depends on the situation - some weeks 0%, some weeks 80%) Deep program/project management skills, including Agile Scrum Managing multiple customer projects simultaneously with onshore/offshore teams Excellent problem-solving, critical thinking, analytical, and development skills Master Data Management business use cases, capabilities delivered, value created, and opportunities uncovered Advanced analytics business use cases, capabilities delivered, value created, and opportunities uncovered Machine learning, artificial intelligence business use cases, capabilities delivered, value created, and opportunities uncovered Software as a Service / Cloud delivery Skills That Are Nice to Have: Financial Force PSA knowledge a plus PMP Certification a plus MBA a plus At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $114,000 — $211,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: London Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We’re hiring a Product Marketing Manager to help shape how Linear’s products are brought to market and understood by customers. This role sits at the intersection of Product, Engineering, Design, CX, Sales, and Marketing, and is responsible for turning technically sophisticated product work into clear narratives, strong launches, and high-quality customer-facing experiences. You’ll go deep on the product, define positioning and messaging, and drive execution across the surfaces that matter most—from in-product copy and changelogs to enablement, documentation inputs, email, and launch communications. This is a hands-on role for someone who combines product judgment, excellent writing, and strong cross-functional leadership. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America and the United Kingdom. You can work from anywhere within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Develop positioning, messaging, and core narratives for feature releases, key launches, and strategic product narratives - Partner closely with Product management, Engineering, and Design to refine how products are presented across in-product and external surfaces - Create and coordinate launch deliverables such as changelogs, demos, enablement materials, email, social copy, and go-to-market communications - Equip Sales, CX, and other customer-facing teams with the context and materials they need to communicate new launches effectively - Bring customer insight, product understanding, and market context back into product and launch decisions What we’re looking for - Exceptional writing and editorial judgment, with the ability to make complex ideas feel clear and compelling - Strong positioning and messaging skills grounded in customer problems, product truth, and differentiation - Great project management skills and ability to track large amounts of detail. - Comfort going deep on product details and building credibility with Product, Engineering, and Design - Strong judgment, ownership, and the ability to operate autonomously while maintaining a high quality bar What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $145,000—$192,500. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: London Workplace: Remote TL;DR: We’re looking for a GTM Engineer to automate low-value commercial work and build the systems that generate qualified pipeline at scale. You’ll own the GTM infrastructure end to end: design the data model, keep the CRM reliable, connect the stack, deploy AI agents, automate outbound and inbound workflows, and continuously improve how we acquire and retain customers. ABOUT WHITE CIRCLE White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re at a multi-million dollar run rate already having signed customers like Lovable and multiple neobanks. You’ll be joining at the most exciting time - early enough that the equity can be life changing but at a point where demand has been proven. We’re a small, highly focused team. If you want to work deeply on hard problems and build the category-defining company in AI safety - this role is for you! WHAT YOU’LL DO - Automate low-value work out of the commercial process so the Sales team can spend more time closing deals - Design and build the systems that power how we find, acquire, and retain customers (both outbound and inbound) - Own the CRM: you make sure our data is clean, structured, and reliable - Build internal tools, API integrations, and custom automation logic - Have real ownership & shape the playbook: what we build, use, how it fits together, and how it scales - Design and deploy AI agents across the GTM motion (e.g., account research, pre-call intelligence, personalised outreach, etc) - Wire it directly into our operational systems so it changes how the team works - Design the GTM data model (accounts, contacts and opportunities) - Build and manage data pipeline, enrichment and integrations across the stack - Build, ship and iterate fast YOU'LL FIT IN IF - 6+ years of experience in GTM engineering, technical RevOps, or a growth role where you were building automations and pipelines - Experience designing and scaling systems in a high-growth company - Hands-on with modern GTM tooling - Claude Code, Clay, Apollo, Instantly, n8n or similar - you've built multi-step enrichment and sequencing workflows, not just set up a table - Comfortable with Python or SQL well enough to work with data, call APIs, and build lightweight scoring or enrichment logic - Top-of-funnel focused - you know how to build systems that generate qualified pipeline at scale, from ICP definition through to booked meetings - Experience in programmatic SEO and AEO - Analytical and experimental mindset: proven ability to design tests, measure impact, and iterate quickly. - Proven AI deployment experience (e.g., automations, agents, workflows) WHAT SUCCESS LOOKS LIKE IN THE FIRST 6 MONTHS In your first six months, we would expect you to identify the highest-converting early segments, build a functioning outbound and follow-up engine, create clear messaging for one or two strong wedges, generate a meaningful pipeline of qualified conversations, and help convert early pilots or customers. Just as importantly, we would expect the company to understand its GTM motion far better because of your work. COMPENSATION & BENEFITS - Competitive compensation, including equity - Flexible time off - An office in central London, with a flexible hybrid setup - Mental health support, including coverage for therapy when you need it - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call with Talent (30 min) 2. Take-home assignment 3. Interview with Head of Revenue & Data Engineer (60 min) 4. Final call with CEO & Head of Engineering (45 min)

Location: Lanham, MD Position Objective: Under general supervision, the Clinical Staff Pharmacist facilitates the safe, high quality, effective and economic use of drugs. This responsibility includes the accurate preparation and dispensing of pharmaceuticals according to established departmental policies and procedures. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Partakes in a rotating staffing schedule, including day and evening shifts, weekend rotations, holidays, and overnight coverage based on departmental needs. Verifies the accuracy of order entry by authorized prescribers in computerized patient medication profiles. Reviews written medication orders or prescriptions to determine appropriate ingredients, strength, and dosage. Reviews medication orders for: potential allergies, drug/drug and food/drug interactions, route of administration, appropriate dose and potential for adverse drug reactions with other medications ordered. Contacts the prescriber, as appropriate, to clarify orders and/or make recommendations concerning alternate therapies. Provides drug information to patients, physicians, nurses, and other clinical staff where appropriate and upon request. Supervises the daily operational duties in the dispensing area to which assigned, including assisting and assigning, closely monitoring and reviewing the work of Pharmacy Technicians, to assure accurate and timely delivery of medications. Participates in patient care rounds and unit based services, which may include: medication reconciliation, promoting medication efficacy/safety/cost improvement initiatives, participation in unit process improvement activities, and patient education & follow-up as appropriate. Participates in improvements in interdepartmental policies and procedures which support the Pharmacy Department and Hospitals strategic goals. Maintains accurate records as required by departmental policies and procedures and/or federal and state board regulations. Completes all core competencies and documents clinical activities accurately and according to policies and procedures. Supports the Investigational Drug Service in the daily operations of the department. Educates and supervises Pharmacy Technician in the preparation of intravenous admixture solutions and chemotherapeutic agents, using aseptic technique. Completes formal in-service, formulary addition/deletion, assimilation of evidence-based protocol/order-set, medication safety related activities and/or targeted medication expense reductions. Educational/Experience Requirements: The minimum level of education and experience for this position includes: Doctor of Pharmacy Degree or Bachelor of Science in Pharmacy with commensurate experience required. At least 1 year of experience in an inpatient setting required. PGY-1 residency or Board Certification preferred. Required License/Certifications: Current Maryland State License Working Conditions, Equipment, Physical Demands: Light work. Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects. If the use of arm and/or leg controls requires exertion of forces greater than that for sedentary work and the worker sits most of the time, the job is rated for light work. There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Pay Range $65 — $75 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: US - Remote - California - Bay Area, MA - Boston - Office , US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc Your Role: Tenable's platform gets stronger every time it connects to something else: a cloud, a SIEM, a remediation tool, an AI agent. As a Principal Solutions Architect on the Technical Alliances team, you will be the senior technical architect behind those connections. Your work spans two connected areas. The first is Tenable's most strategic cloud alliance, AWS , where you are the primary technical voice for co-build, co-market and AWS Marketplace motions. The second is our broader Technology Ecosystem : frontier AI model providers, and the security, IT and AI vendors who integrate with Tenable One. There you design joint architectures, write sample integrations and MCP connectors, advise partner developers and product managers, and shape the multi-party solutions our customers buy. This is a high-visibility, individual-contributor seat with established relationships at AWS and across dozens of partners. You will work directly with partner CTOs and engineering leads, Tenable product and engineering, field SEs, and executive leadership. Why This Role: Work at the AI frontier. You will help define how Tenable exposure data powers agentic workflows through MCP, Amazon Bedrock and partner AI platforms, with launch partners already in motion. Breadth no single-product role offers. In a typical month you might advise a cloud security vendor on GraphQL export design, architect a three-way solution with a network and asset-intelligence partner, and brief AWS SAs on a joint reference architecture. Build, not just support. You own the reference architectures, sample code and enablement that let partners and field teams scale without you in the room. Visibility and impact. Your work shows up in AWS competencies, Marketplace pipeline, partner launches and executive reviews. What You'll Do: AWS Alliance: Serve as Tenable's primary technical liaison to AWS, building relationships with Partner SAs, Technical Account Managers, security service teams and educating them on the Tenable portfolio. Own the AWS technical enablement plan: design and deliver programs that keep Tenable field SEs and AWS customer-facing SAs aligned on Tenable solutions and joint architectures. Drive AWS competency and program workstreams, including design wins, delivery of competency attestation, technical validation and documentation. Lead AWS Marketplace technical strategy, including Partner Revenue Measurement (PRM) tagging, ACE co-sell ties and emerging AI co-sell motions. Advance Tenable's integrations with AWS-native services such as AWS Security Hub, and the narrative for Tenable on AWS agentic and AI architectures. Partner with alliance and field marketing on AWS events, EBCs and demand programs. What You'll Do: Technology Ecosystem: Act as the senior technical advisor to partner engineering teams and product managers building on Tenable Vulnerability Management, Security Center, Web App Scanning, Attack Surface Management, Cloud Security and OT APIs. Guide them on export design, filtering, rate limits, incremental sync and severity mapping. Write sample integrations, reference code and MCP connectors that show partners the right way to build on Tenable, and that Tenable teams can reuse. Extending Tenable's alliances work with frontier AI model providers, and other partners shaping how Tenable exposure data reaches their platforms and agent ecosystems. Participate in technical validation for the Tenable Technology Ecosystem Program, from partner onboarding through integration review and launch. Architect multi-party joint solutions and reference architectures with strategic partners, and present them to partner and customer technical executives. Lead technical discussions on AI and agentic integrations, including Tenable Hexa AI, MCP-based connectors and AI launch-partner programs. Own technical escalations on partner integrations, coordinating with Support, Product and Engineering through to resolution and root cause. Share partner and market feedback with Tenable product and engineering teams. Serve as backup for partner lab, NFR and API-access provisioning, and strengthen partner self-service capabilities, expanding them where possible. Across Both: Run concurrent workstreams with clear milestones, owners and deliverables, and report progress and risk to executive leadership. Use AI tools to accelerate research, enablement content, documentation and reporting. Success in the First 90 Days: 30 days: Working relationships with the Technical Alliances leadership team, key AWS Partner SAs and the top ecosystem partners; a clear view of competency status, co-sell pipeline and open partner integration work. 60 days: Delivering AWS enablement independently; owning a portfolio of ecosystem partners end to end, including validations and escalations. 90 days: A prioritized plan, agreed with leadership, to close gaps in AWS Marketplace coverage, SA enablement and partner developer experience. What You'll Need: 7+ years in solutions architecture, partner engineering, sales engineering or technical alliances, including 3+ years in a cloud or SaaS security context. Strong grounding in exposure and vulnerability management, and how it drives security outcomes: reducing cyber risk, prioritizing against real-world threats, and connecting findings across assets, identities and cloud to the decisions security teams make. Working knowledge of AWS services and Marketplace mechanics, and experience inside or alongside a hyperscaler partner ecosystem: co-sell, competencies or marketplace. Hands-on development skills: you build working integrations against REST and GraphQL APIs in Python or similar, and can stand up an MCP server or connector. A record of advising partner developers and product managers on integration design, and of building relationships from developer to CTO. Strong program management across multiple concurrent workstreams and cross-functional teams. Clear communicator who can adjust depth for developers, field SEs, partner executives and the C-suite. And Ideally: AWS certification (Solutions Architect Associate or Professional, or Security Specialty). Experience working with frontier AI model providers, or with agentic AI, LLM integrations or Amazon Bedrock, technically or as a go-to-market motion. Familiarity with security data standards such as OCSF, and with SIEM, SOAR, CNAPP or asset-intelligence integrations. Prior AWS competency applications, joint design wins or partner integration launches. Familiarity with Tenable One, Tenable Vulnerability Management, Tenable Hexa AI, Nessus or the competitive landscape. #LI-MS1 #LI-Hybrid This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $175,000 — $233,666.67 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Remote, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the role The Global Alliance Lead is one of the most strategically important roles in our Ecosystem. You will own our relationship with one of the world's leading technology and transformation partners end-to-end — from C-suite engagement through to practitioner enablement and joint pipeline creation. You will be the architect of how the GSI and NewCo go to market together, ensuring our platform becomes the trusted data foundation inside the GSI’s agentic AI delivery practice globally. This is a senior individual contributor role reporting to the Global Head of GSI Relationships. You will orchestrate across sales, partner solution architecture, marketing, and partner operations — bringing the full weight of the organisation to bear on one of our highest-leverage commercial relationships. What You'll Do Relationship strategy and executive engagement Own the global GSI relationship at partner and C-suite level, building trusted relationships with Capgemini, practice and delivery team leads. Define and execute a multi-year joint strategy that positions dbt + Fivetran as the default open data infrastructure layer within the GSI’s enterprise AI and agentic workflow delivery Represent NewCo at GSI’s internal forums, client briefings, and industry events — articulating a compelling narrative around open data infrastructure and its relevance to the GSI’s strategy. Platform integration and practitioner adoption Drive adoption of the dbt + Fivetran platform within GSI delivery teams — ensuring practitioners, solution architects and practice leads are certified, confident, and actively recommending the platform in client engagements Work with GSI's practice leadership to embed NewCo's platform into their business groups, standard delivery architectures, RFP responses and client proposals — with particular focus on GSI's Data & AI practices Enablement and go-to-market Design and execute a frictionless enablement programme for GSI practitioners globally — certifications, reference architectures, use case playbooks, and joint delivery assets Partner with GSI's marketing and alliances teams to develop joint go-to-market campaigns anchored to open data infrastructure, trusted AI delivery, and closing the gap between AI POC and production Support GSI in building and positioning client-facing agentic AI value accelerators — with NewCo platform as the foundational data layer — the "NewCo inside" model Pipeline and opportunity development Source and develop new pipeline opportunities through the GSI relationship — identifying client situations where open data infrastructure creates measurable value. Drive co-sell motions alongside GSI account teams, ensuring NewCo is present and influential at the point of client opportunity Maintain a rigorous view of GSI-engaged pipeline — tracking opportunity sourcing, progression, and closed business attributed to the alliance Telemetry and performance Define and track the signals that indicate a healthy, high-performing GSI relationship: certifications, sourced opportunities, platform deployments, practitioner engagement, and joint wins Report regularly to the Global Head of GSI Relationships on alliance health, pipeline contribution, and strategic progress Identify risks and gaps in the relationship early and mobilise internal resources to address them What you will bring 15+ years of experience in strategic alliances, enterprise sales, or partner management within the data, cloud, or enterprise software industry Demonstrated experience managing complex, global relationships with major consulting firms or global system integrators at a senior level Deep understanding of the modern data stack and the business value of open data infrastructure — dbt, Fivetran, or equivalent experience strongly preferred Ability to engage credibly at C-suite and partner level within a global consulting organisation — understanding how GSIs make decisions, build practices, and go to market Strong commercial instincts — able to identify, thoroughly qualify and develop joint pipeline opportunities, not just manage existing relationships Track record of operating as a cross-functional orchestrator — influencing without direct authority across sales, engineering, marketing, and operations Exceptional communication and storytelling skills — able to translate technical platform capabilities into compelling business narratives for consulting and enterprise audiences Familiarity with AI, agentic workflows, and the data governance landscape is a strong advantage + strong knowledge of GSI's operating model and contacts within. Willingness to travel globally to engage GSI leadership and teams across regions What Success Looks Like in Year One A clearly defined joint strategy with GSI signed off at partner Executive level and on track to primary Global Strategic Practice. Material increase in GSI practitioner certifications and active platform deployments across Data & AI and Insights & Data practices GSI-sourced pipeline contributing measurably to NewCo's revenue At least two joint go-to-market campaigns live in the market delivering pipeline — anchored to GSI's agentic AI and trusted data agenda First client-facing agentic value accelerators built on NewCo platform delivered with GSI — positioning NewCo as the trusted data infrastructure inside GSI's AI delivery A telemetry framework in place tracking alliance health and pipeline influence Why This Role This is a rare opportunity to own a marquee relationship at a defining moment for both companies. GSI’s are publicly committing to capturing the full value of the agentic AI revolution for customers  — and the merged dbt + Fivetran platform is the trusted data infrastructure that makes AI production-ready. The person who builds this alliance well will sit at the intersection of the two most important forces in enterprise technology right now: the scale of a global systems integrator and the open infrastructure that makes AI trustworthy enough to deploy at scale. This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings. #LI-Remote OTE (On Target Earning) $249,816 — $302,000 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.