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Location: In-Office 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. Locations: Austin, Lisbon, San Francisco, NYC, or London About the Role Search is being rebuilt around AI. People increasingly get answers from AI instead of a list of links, agents run dozens of searches to answer a single question, and more than half of the traffic reaching sites on Cloudflare is now automated . Search is shifting from a destination to a utility, and Cloudflare is building the search layer for this agentic Internet. Agentic Search at Cloudflare gives agents everything they need to find information, whether it lives in a customer’s own data or on the open web. It spans two products: AI Search for internal data, and Web Search API for the open web. AI Search (internal data), now generally available , is the search primitive for applications and agents . It is a fully managed indexing and retrieval pipeline built on Workers AI , Vectorize , R2 , and Browser Run . Developers connect a website or R2 bucket, or upload their own files, and query them with natural language through a Workers binding, REST API, or MCP server. Under the hood: continuous indexing, hybrid vector and keyword retrieval, reranking, metadata filtering, native multimodal (image) embeddings, and OCR for scanned documents. We use it to power search on our own blog and developer docs. Web Search API (external data), now in open beta , gives agents real-time web context with a single API call. It runs on AI Gateway , so every search gets the same logging, analytics, billing, and access controls as model inference. Developers can choose from multiple search providers and always get results back in one normalized format. Your mission in this role is to make Cloudflare the default place developers and agents go to search, across both their own data and the open web, and eventually in a single call. You’ll also help build a search ecosystem that works for AI companies, site owners, and creators alike. What You’ll Do Talk directly with developers, AI companies, publishers, and customers every day. Own the strategy, roadmap, and execution for Agentic Search (AI Search and Web Search API), from ingestion and indexing through retrieval, ranking, and answer generation. Define and measure what “good search” means, including relevance, freshness, latency, and cost, and build the evals that improve it with every release. Scale AI Search for the workloads that matter most, like multi-tenant platforms, enterprise agents, and website search, with support for billions of documents, rich media, and built-in observability. Take Web Search API and shape what comes next: provider partnerships, search and page extraction in one call, blending web and private data, Own pricing and packaging, and make our products first-class for agents through MCP, agent-friendly APIs, and templates like NLWeb . Partner with engineering, ML, and product teams across Workers AI , Vectorize , AI Gateway , Browser Run , and AI Crawl Control , as well as Marketing, DevRel, BD, Sales, and Support. Represent Cloudflare at conferences, community events, and customer and partner meetings. Examples of Desirable Skills, Knowledge, and Experience Proven experience as a PM, EM, or founder shipping search, information retrieval, data infrastructure, or developer platform products. You’ve led teams to ship before and can point to impact. Deep understanding of how search works end to end: crawling, indexing, chunking, embeddings, hybrid retrieval (BM25 + vector), query rewriting, reranking, and retrieval-augmented generation (RAG). You understand the tradeoffs between relevance, freshness, latency, and cost. Experience defining and measuring search quality, including offline evals, relevance judgments, metrics like recall, MRR, and NDCG, and online experimentation. Fluency in the modern AI ecosystem: LLMs, text and multimodal embedding models, agents, tool calling, and MCP. You’ve built with them yourself and know where they break. Hands-on ability to write code and use AI and the Internet to learn new things fast. You’ve built a RAG pipeline or an agent that searches the web, and you have opinions about what made it good or bad. Deep empathy for developers and understanding of their workflows, pain points, and how they adopt new tools and platforms. Understanding of the web publishing ecosystem: crawlers, bots, SEO and answer engine optimization (AEO), and the changing economics of AI search for content creators. Comfortable working where technology, business, and policy meet. Experience with usage-based pricing, two-sided marketplaces, or partner and business development relationships, including build-vs-partner decisions, is a plus. Exceptional communication and collaboration skills. You can translate between ML research, infrastructure engineering, and business stakeholders, and align diverse teams on goals. Passion for design details and polish. You raise the bar for sweating the details. External presentation skills. You can walk into a room of developers or AI company leaders and build trust and credibility. Compensation Compensation may be adjusted depending on work location. For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000 For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000 For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000 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: Tel Aviv Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As an Algorithms Developer at Via, you will play a central role in shaping how millions of riders and drivers move through our cities every day. Our team turns complex, multi-dimensional operational challenges into real-time optimization that powers Via’s mass-scale automated dispatch system. You will explore rich, diverse data sets, develop algorithms that make smart decisions at scale, and have a direct impact on the efficiency, reliability, and quality of our service. This is an opportunity to combine deep technical expertise with real-world operational impact at global scale. About the Role: Model and mathematically represent competing demands on Via’s system to enable scalable, real-time decision-making. Develop online algorithms for real-time decision-making, focusing on optimizing system utilization while maintaining a high quality of service for riders. Design and implement highly efficient and scalable algorithmic solutions to power decision-making systems under large-scale, real-world operational demands. Collaborate closely with engineering, product, and operations teams to translate complex algorithmic insights into practical, impactful solutions. About You: Advanced degree (M.Sc. or PhD) in Computer Science, Mathematics, Physics, or a related field. Significant research background and hands-on experience developing algorithms 3–4+ years of experience implementing algorithms in practical, production-scale systems. Analytical thinker who can extract the essential elements of complex, real-world problems and convert them into actionable models. Hands-on coder with experience in Python (or similar) and the ability to turn ideas into working solutions. Naturally curious, fast-learning, and collaborative, with strong interpersonal and communication skills. Compensation and Benefits Joining a global employer with over 700 mobility deployments in 40+ countries. Our product impacts millions of users around the world providing alternative transport solutions that are more: efficient and accessible, changing cities to make them greener. Competitive compensation package which includes base salary and stock options. Health insurance with a discount for family members. Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station. Career development and growth opportunities. Other perks: Freefit and other sports lessons, 10bis/Cibus - you choose!, happy hours, team events, communities and many more benefits. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

- Build functional peer-to-peer applications and infrastructure using the Pear platform and the Bare runtime. - 3–6+ years in a technical role (Technical Content Creation, Solutions Engineering, Backend/Systems Development).

Location: Intellias Meet your recruiter Alex Dayrabekov alex.dayrabekov@intellias.com https://www.linkedin.com... Vacancy details Management Sales Manager Director United States Remote APPLY NOW REFER A FRIEND Intellias is a global digital engineering partner helping industry leaders accelerate innovation and transformation through technology. For more than 20 years, we have worked with leading enterprises across Mobility, BFSI, Retail & CPG, Healthcare & Life Sciences, and High-Tech. Our 3,000+ professionals across 15 countries support customers across Europe, North America, the Middle East, and Japan. Mobility is one of Intellias’ founding verticals and a core pillar of our growth strategy. We work with OEMs, Tier-1 suppliers, and mobility technology companies across connected mobility, navigation and maps, embedded software, IVI/HMI, cloud platforms, ADAS, and automotive AI. What project we have for you We are looking for a Business Development Director to accelerate the growth of Intellias’ Mobility business across North America. This is a net-new logo acquisition role . Your primary mandate is to open and win new Automotive OEM relationships rather than inherit or manage an established book of business. The territory is focused on North America, with particular emphasis on the US , and includes both North American headquartered companies and global OEMs and Tier-1s with significant operations, technology organizations, or decision-making presence in the US. This is a senior individual contributor role with significant autonomy, direct executive exposure, and the opportunity to shape how Intellias grows its Mobility business in the region. What Success Looks Like Active application of executive relationships across a focused portfolio of strategic OEM and Tier-1 targets. Building a qualified pipeline of net-new opportunities and converting relationships into initial engagements. Developing new strategic accounts that can grow into significant, multi-year engineering relationships for Intellias. What you will do Utilize your existing senior relationships across OEM and Tier-1 organizations, engaging CTOs, CIOs, VPs of Engineering, Heads of Digital, Connected Mobility, Software Platforms, Product, and other key decision-makers. Own the end-to-end acquisition cycle for strategic, net-new OEM and Tier-1 accounts, from target identification and executive relationship building through opportunity creation, solution shaping, negotiation, and closure. Build a strong pipeline of new-logo opportunities through executive networking, industry relationships, referrals, and targeted account development. Identify client priorities and translate them into opportunities for Intellias across areas such as connected mobility, navigation and maps, embedded software, IVI/HMI, cloud platforms, ADAS, software-defined vehicles, and AI/ML. Partner with presales, solution architects, delivery teams, industry experts, and executive leadership to shape compelling solutions and commercial propositions. Navigate complex enterprise buying processes and maintain disciplined opportunity management, forecasting, and qualification. What you need for this We are open to two complementary backgrounds: Commercial leaders Senior sales, business development, client partner, or account leaders from technology, digital engineering, consulting, or systems integration companies with a proven track record of originating and closing new business with automotive OEMs and Tier-1 suppliers. Automotive industry leaders Senior technology, engineering, product, digital, or platform leaders from OEMs or Tier-1 suppliers with deep industry knowledge, strong executive relationships, and the commercial orientation to transition that expertise into a client acquisition role. Regardless of background, you should be able to open doors, establish credibility with senior decision-makers, identify meaningful business problems, shape opportunities, and convert relationships into new business. What You’ll Bring 15+ years of relevant senior experience in automotive technology, digital engineering, consulting, enterprise sales, business development, product, engineering, or related fields. A strong and current network across automotive OEMs and Tier-1 suppliers in North America and/or global organizations with significant US operations. Credibility with senior technology and business stakeholders and the ability to operate effectively at executive level. Meaningful experience across one or more areas of the automotive software ecosystem, such as connected mobility, navigation and maps, embedded software, IVI/HMI, cloud, ADAS, autonomous driving, software-defined vehicles, or AI/ML. Understanding of how large automotive organizations prioritize technology investments, allocate budgets, and make complex purchasing decisions. Strong consultative selling, negotiation, and opportunity-shaping skills, together with an entrepreneurial mindset and comfort building a market rather than executing an established playbook. Understanding of, or strong interest in, the digital engineering and technology services model. Willingness to travel for customer and industry engagement. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Paris, France Workplace: Hybrid 🐼 POURQUOI PRÉVENIR Prévenir est un nouveau Service de Prévention et de Santé au Travail Interentreprises (SPSTI) en Île-de-France. Notre ambition est de repenser la santé au travail pour améliorer l'impact sur la vie des salariés et l'expérience des professionnels de santé, en s'appuyant sur les moyens technologiques d'Alan. Notre premier centre médical a ouvert ses portes au 117 Quai de Valmy (Paris 10ᵉ) et ce n'est que le début ! 👉 Pour en savoir plus sur le quotidien chez Prévenir, c'est ici https://prevenir.fr/carrieres 💉 LE POSTE, CONCRÈTEMENT Vous êtes IDEST au sein d'une équipe pluridisciplinaire (médecins du travail, ASST, IPRP) avec laquelle vous co-construisez la pratique de Prévenir. Votre temps se répartit entre : - Visites individuelles, en présentiel au centre de Valmy (Paris 10e) ou Rue des Dames (Paris 17e) et en distanciel, sous protocole de délégation avec le médecin du travail, repérage précoce des situations à risque (désinsertion, RPS, addictions) - Actions de prévention en milieu professionnel pendant le tiers temps dédié : interventions individuelles et collectives, webinaires thématiques (TMS, RPS, hygiène de vie, écrans…), supports digitaux, parcours de prévention innovants - Innovation et amélioration continue : test et déploiement de nouveaux outils numériques en santé au travail, conseil à l'équipe Prévenir sur les outils et procédures à déployer, contribution à l'optimisation des protocoles, etc. - Selon l'expérience : participation à la cellule PDP, prise en charge de visites de reprise et visites à la demande sous protocole de délégation. CE QUI CHANGE VS. UN SPSTI CLASSIQUE : - Une équipe pluridisciplinaire à co-construire. Vous ne rejoignez pas un service figé : vous participez à dessiner la place de l'IDEST chez Prévenir, les protocoles de délégation avec les médecins, et les passerelles avec ASST et IPRP - Des outils numériques co-construits avec vous. Une équipe d'ingénieurs et de designers Alan développe avec les soignants les outils dont ils ont besoin — DMST, parcours de prévention, supports de webinaires, expérimentations IA - Le mix présentiel / distanciel pensé comme un atout métier. Vous voyez les salariés et les entreprises sur le terrain quand c'est utile, et vous gardez le temps et les outils pour faire de la prévention de qualité à distance le reste du temps 👤 LE PROFIL RECHERCHÉ - Master 2 de psychologie, idéalement psychologie du travail et des organisations - Aisance sur l'individuel, le collectif et l'organisationnel - Posture indépendante face aux employeurs - Sang-froid dans les situations dégradées, pédagogie, esprit d'équipe - Basé(e) en Île-de-France, à l'aise avec un fonctionnement hybride 💚 CE QU'ON OFFRE - Lieu : dans des centres neufs, pensés pour la qualité de l'exercice médical - 117 quai de Valmy (Paris 10ᵉ) - 93 Rue des Dames (Paris 17e) - Rémunération de 35 000 € à 50 000 € par an, selon profil - Plan d'intéressement - Télétravail partiel possible - RTT - Prise en charge du transport quotidien - Restaurant d'entreprise - Formation linguistique offerte - Événements d'équipe réguliers Pour en savoir plus sur notre politique salariale, c'est ici https://alaninsurance.notion.site/Politique-salariale-Pr-venir-1b21426e8be780d497cadc6220862475 !

Ищем UA Manager, который умеет эффективно закупать и масштабировать трафик на белые мобильные продукты. -Запускать и масштабировать рекламные кампании в Apple Search Ads и Google Ads (App Campaigns / UAC).

Ищут Creative Producer, который организует производство и тестирование рекламных креативов. — ставить недельные цели по выпуску и тестированию креативов и контролировать их выполнение;

AI-native приложения, агентные возможности, RAG, интеграции LLM и корпоративных систем. Python, backend/full-stack.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Digital Sales Representative - Expansion. About the job This position is needed to lead relationships within our Self Service customer base and Communications platform customers who consume our messaging, voice and email services. As our new Digital Sales Representative, you will be responsible for net new customer activations, transactional and solution selling, and closing deals within our Self Service account base. Responsibilities In this role, you’ll: Manage and expand customer accounts within the Self Service segment. Own a book of business with the goal of protecting revenue and driving upsell and cross-sells Execute programmable sales plays to consistently deliver strong revenue, gross margin, and gross profit results. Work cross-functionally with representatives from product, finance, support, and services teams to execute renewals and drive DBNE Generate and maintain an accurate sales pipeline and forecast utilizing our CRM, Salesforce through proactive efforts and collaboration with your manager. Execute automation strategies to serve a large quantity of customers while maintaining NPS and preventing churn Work closely with marketing teams to align on messaging and campaigns. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 2 years closing experience or 1+ years closing experience at a SaaS or CPaas company, with a record of top performance Demonstrated track record of managing business forecasts and financial models. Comfortable working with business and highly technical leaders, while influencing their understanding and building supportive partnerships. Analytical account development strategy based on using data to find opportunities and prove value. Entrepreneurial mindset with appetite to define processes and build programs. Record of delivering revenue and gross profit results Excellent verbal and written communication skills. Location This role will be remote, but is not eligible to be hired in CA, CT, IL, MA, MD, NJ, NY, OR, PA, RI, TX, VA, WA, or Washington DC Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Minnesota or Vermont: $35.34/hr - $44.14/hr. Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the Francisco Bay Area): $37.31/hr - $46.59/hr. Based in New York, New Jersey, Washington State, or the San Francisco Bay area, California: $39.24/hr - $49.04/hr. This role is eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. This role is eligible to earn commissions. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role will be accepted on an ongoing basis. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Uphold is looking for Quality Assurance Analysts to plan, execute, and improve software testing and quality processes.

Location: Dallas, USA; New York, USA; Orlando, USA DataArt is seeking a highly motivated and experienced Senior Data & Analytics Consultant to join our dynamic team. In this pivotal role, you will partner with prestigious clients in the Healthcare and Life Sciences industries to tackle complex business challenges and develop impactful, solution-oriented strategies. As a key member of the DataArt Data & Analytics Lab, you will provide strategic consulting services to both clients and internal delivery teams, driving data strategy, data-driven organizational transformation, and other critical data and analytics initiatives. Beyond project delivery, you will also contribute to the growth of the Healthcare and Life Sciences practice and the Data & Analytics Lab through business development and go-to-market activities. The estimated salary range for this position is $190,000 to $240,000 per year. Forge strong, trusted-advisor relationships with senior client stakeholders and internal account managers, gaining a deep understanding of their business objectives and challenges Lead collaborative, value-driven engagements to define and solve complex data problems, ensuring alignment with client goals and business objectives Collaborate with Practice Leadership and Account Management teams to develop account plans and strategies that identify and capitalize on data-driven opportunities, driving revenue growth within existing workstreams and beyond Serve as the principal consultant, guiding clients through complex data transformation initiatives and ensuring successful outcomes; contribute to key strategic deliverables such as mission statements, assessment results, and roadmaps to support clients' data journeys Actively engage in data-related pre-sales activities, including opportunity assessment, RFP responses, proposal development, and deal closure Support team development by mentoring colleagues and providing expertise across strategic client accounts Drive client value and business growth by achieving revenue targets (e.g., enabled revenue, new account acquisition) and meeting billable utilization goals Contribute to the Healthcare and Life Sciences practice and Data & Analytics Lab by supporting go-to-market strategy, offering development, methodologies, and other strategic initiatives Proven experience driving data strategy, data governance, data maturity, and data-driven transformation projects for Healthcare and Life Sciences organizations, including Healthcare Providers, Payers, Healthcare Non-profits/Associations, Pharma & Biotech, Medical Devices, and others Extensive experience working within custom IT service, custom IT solution, and/or IT implementation environments, with a strong understanding of the custom software development services landscape Experience driving change management initiatives in enterprise environments Experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms Experience implementing data strategies that enable the development of in-house AI platforms Experience in the Healthcare and/or Life Sciences industries in the US and Europe Solid knowledge of Healthcare and/or Life Sciences data regulations, such as HIPAA, GDPR, ISO 27001, and the EU AI Act Extensive knowledge of health data exchange frameworks, data formats, and nomenclatures, including FHIR, HL7, SNOMED, and ICD-10, as well as regulatory frameworks such as TEFCA (US) and EHDS (Europe) Strong understanding of data and technology consulting principles and practices Expertise in leading large data-driven programs and driving revenue growth within client account portfolios Skilled in contributing to business development and sales engineering teams or organizations Proven track record of managing complex technology initiatives while effectively communicating with senior business and IT stakeholders Demonstrated ability to develop and grow client relationships, facilitate strategy definition, and drive adoption Solid understanding of business operations, products, and services

Location: London, UK DataArt is seeking a highly motivated and experienced Senior Data & Analytics Consultant to join our dynamic team. In this pivotal role, you will partner with prestigious clients in the Healthcare and Life Sciences industries to tackle complex business challenges and develop impactful, solution-oriented strategies. As a key member of the DataArt Data & Analytics Lab, you will provide strategic consulting services to both clients and internal delivery teams, driving data strategy, data-driven organizational transformation, and other critical data and analytics initiatives. Beyond project delivery, you will also contribute to the growth of the Healthcare and Life Sciences practice and the Data & Analytics Lab through business development and go-to-market activities. Forge strong, trusted advisor relationships with senior client stakeholders and internal account managers, gaining a deep understanding of their business objectives and challenges Lead collaborative, value-driven engagements to define and solve complex data problems, ensuring alignment with client goals and business objectives Collaborate with Practice Leadership and Account Management teams to develop account plans and strategies that identify and capitalize on data-driven opportunities, driving revenue growth within existing workstreams and beyond Serve as the principal consultant, guiding clients through complex data transformation initiatives and ensuring successful outcomes; contribute to key strategic deliverables such as mission statements, assessment results, and roadmaps to support clients' data journeys Actively engage in data-related pre-sales activities, including opportunity assessment, RFP responses, proposal development, and deal closure Support team development by mentoring colleagues and providing expertise across strategic client accounts Drive client value and business growth by achieving revenue targets (e.g., enabled revenue, new account acquisition) and meeting billable utilization goals Contribute to the Healthcare and Life Sciences practice and Data & Analytics Lab by supporting go-to-market strategy, offering development, methodologies, and other strategic initiatives Proven experience driving data strategy, data governance, data maturity, and data-driven transformation projects for Healthcare and Life Sciences organizations, including Healthcare Providers, Payers, Healthcare Non-profits/Associations, Pharma & Biotech, Medical Devices, and others Extensive experience working within custom IT services, custom IT solutions, and/or IT implementation environments, with a strong understanding of the custom software development services landscape Experience driving change management initiatives in enterprise environments Experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms Experience implementing data strategies that enable in-house AI platform development Experience in the Healthcare and/or Life Sciences industries in the US and Europe Solid knowledge of Healthcare and/or Life Sciences data regulations, such as HIPAA, GDPR, ISO 27001, and the EU AI Act Extensive knowledge of health data exchange frameworks, data formats, and nomenclatures, including FHIR, HL7, SNOMED, and ICD-10, as well as regulatory frameworks such as TEFCA (US) and EHDS (Europe) Strong understanding of data and technology consulting principles and practices Expertise in leading large data-driven programs and driving revenue growth within client account portfolios Skilled in contributing to business development and sales engineering teams or organizations Proven track record of managing complex technology initiatives while effectively communicating with senior business and IT stakeholders Demonstrated ability to develop and grow client relationships, facilitate strategy definition, and drive adoption Solid understanding of business operations, products, and services

Location: Nicaragua; Honduras; Ecuador; Guatemala; El Salvador; Colombia We are seeking a detail-oriented, bilingual Dental Insurance & Patient Coordinator to support our client's Prosthodontic and Periodontal practice. The ideal candidate is fully fluent in English and Spanish, brings dedicated hands-on experience with dental insurance verifications and benefit preauthorizations, and excels at handling patient scheduling and phone outreach using Open Dental and Weave. Key Responsibilities: Insurance Verification: Verify patient eligibility, deductibles, annual maximums, waiting periods, and frequency limits directly with carriers; support preauthorizations/predeterminations and document results accurately. Patient Communication: Manage inbound and outbound phone calls in both English and Spanish; follow office scripts to schedule new patients, confirm appointments, and fill schedule gaps from cancellations and no-shows. Administrative Support: Maintain up-to-date patient demographics and insurance data in Open Dental, manage appointment calendars, and utilize Weave for patient outreach. Requirements Bilingual: Full fluency in English and Spanish (verbal and written) required. Dental Insurance Experience: Hands-on experience with dental-specific insurance verifications, benefits documentation, and preauthorizations (general medical verification experience does not qualify). Dental Scheduling: Proven background in dental appointment scheduling, front-office workflows, and schedule optimization. Software: Prior experience using Open Dental and Weave is strongly preferred. Specialty Background: Prior experience in a prosthodontic, periodontal, or high-volume specialist dental practice is preferred. Please note that this is a full-time contractor position (40 hours per week) with a starting pay rate of $6 per hour depending on skill set and experience. The schedule is Monday-Thursday 7:00am-4:00pm; Friday 7:00am-12:00pm PST.

Location: San Francisco, United States; United States This is a unique opportunity to build an AI infrastructure business within an established international company. We are looking for an entrepreneurial leader who understands the GPU compute ecosystem and can turn infrastructure investments into a scalable, revenue-generating business. You will take ownership of three core areas: GPU Procurement & Strategic Partnerships AI Infrastructure Development & Deployment AI Compute Sales & Commercialization You will work closely with company leadership to develop the business strategy, establish strategic partnerships, identify investment opportunities, and execute the roadmap. This is a hands-on leadership role requiring a combination of commercial expertise, infrastructure knowledge, and strong execution capabilities. We are not looking for someone who simply manages existing operations. We need someone who can build the business. Responsibilities 1. GPU Procurement & Strategic Partnerships Develop and execute GPU procurement strategies. Establish relationships with NVIDIA, OEMs, distributors, and GPU hardware suppliers. Identify opportunities in both new and secondary GPU markets. Negotiate hardware supply agreements, pricing, delivery terms, and strategic partnerships. Evaluate GPU availability, pricing dynamics, hardware lifecycle, and investment opportunities. Build a reliable network of hardware and infrastructure partners. 2. AI Infrastructure Development Lead the planning and deployment of GPU computing infrastructure. Identify and evaluate data center locations, colocation providers, and infrastructure partners. Coordinate infrastructure requirements, including power, cooling, networking, and operational capacity. Develop scalable infrastructure deployment models. Oversee project execution in collaboration with technical and operational teams. Optimize infrastructure economics, deployment timelines, and operational efficiency. 3. AI Compute Sales & Commercialization Develop the commercial strategy for GPU compute capacity. Identify customers requiring AI inference, GPU cloud, and high-performance computing services. Build relationships with AI startups, enterprises, cloud providers, and infrastructure companies. Negotiate short-term and long-term compute capacity agreements. Develop pricing strategies and commercial partnership models. Drive customer acquisition, revenue growth, and infrastructure utilization. 4. Business Strategy & Ownership Develop the AI compute business strategy and execution roadmap. Build financial models and evaluate investment opportunities. Own business unit economics, CAPEX, OPEX, and commercial performance. Collaborate with leadership on financing and capital allocation. Establish operational and commercial KPIs. Build and lead a team as the business scales. Take full accountability for business results and profitability. Requirements 2+ years of experience in AI infrastructure, GPU cloud, data centers, cloud computing, or related industries. Proven track record of launching, building, or scaling infrastructure-driven businesses. Strong understanding of GPU computing, AI infrastructure economics, and the broader AI ecosystem. Demonstrated experience in at least two of the following areas: GPU procurement and strategic hardware partnerships. AI infrastructure development and deployment. GPU compute sales and commercialization. Strong business development and negotiation skills. Experience managing complex commercial agreements and strategic partnerships. Solid understanding of financial modeling, CAPEX, OPEX, ROI, and unit economics. Entrepreneurial mindset with a strong bias toward execution. Ability to operate independently and make decisions in a fast-moving environment. Fluent English Nice to Have Established relationships with NVIDIA, OEMs, GPU distributors, or major hardware suppliers. Experience at GPU cloud providers, neocloud companies, or AI infrastructure startups. Background in GPU-as-a-Service (GPUaaS), AI inference, or compute marketplaces. Experience with high-density data centers, Bitcoin mining, or energy-intensive infrastructure. Experience negotiating long-term compute capacity contracts. Previous experience as a founder, General Manager, or business unit leader. Strong professional network in the San Francisco Bay Area. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: Jakarta, Indonesia; Kuala Lumpur, Malaysia Eram Talent, an ISO 9001:2015-certified division of Eram Group, delivers human resources, industrial projects, and maintenance services across a broad range of sectors, including oil and gas, petrochemicals, power, infrastructure, water, mining, healthcare, and IT. Within the oil and energy space, the company supports complex industrial operations with practical engineering expertise and a strong focus on quality, safety, and project delivery. This role offers the opportunity to contribute to technically demanding energy projects where strong process engineering judgment can make a measurable impact. As a Process Design Engineer, you will support the development and improvement of plant systems, working across engineering disciplines to help shape efficient, safe, and reliable process solutions for industrial facilities. If selected, the work location would be onsite at Saudi Arabia . Responsibilities Develop process designs, simulations, and engineering studies for energy projects. Deliver FEED and detailed engineering packages for plant modifications. Lead HAZOP reviews and ensure compliance with safety requirements. Identify debottlenecking opportunities across brownfield and greenfield facilities. Coordinate multidisciplinary teams throughout project planning and execution. Requirements Required Qualifications Bachelor’s degree in Chemical Engineering, Process Engineering, or a related field. 7+ years of experience in process engineering or plant operations, including hands-on work in process design and process simulation. Experience leading or participating in HAZOP reviews and delivering FEED and detailed engineering packages. Track record of identifying or executing debottlenecking initiatives across brownfield and greenfield projects. Proficiency with data analysis and process simulation software such as Aspen Plus and HYSYS. Strong knowledge of gasification processes, power production, and related technologies, along with safety and environmental regulations such as OSHA and EPA standards. Experience with process optimization methodologies, including Six Sigma and lean manufacturing. Experience managing projects across planning, budgeting, and execution. Experience leading multidisciplinary teams, preparing engineering reports, and coordinating effectively with cross-functional stakeholders. Preferred Qualifications Master’s degree in Engineering or Management. Experience in industries such as petrochemical, refining, gas processing, chemical manufacturing, gasification facilities, fertilizer plants, power generation plants, or large industrial utility operations. Holding a Six Sigma, Lean Manufacturing, or PMP certification.

Location: San Francisco 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 In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 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: Remote Workplace: Remote 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 In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 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: London 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 In this role, you'll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team uses to manage data, run evals, and launch and track training jobs. You’ll help decide what we build, what we adopt, and how the pieces fit together. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the stack. We’re looking for research engineers who have built demanding ML or distributed systems, can debug across the stack, and want to work closely with researchers to make training faster, more reliable, and easier to iterate on. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Scale our post-training stack, supporting SFT and RL on leading open-weight models. - Build distributed rollout infrastructure that coordinates model inference, tool execution, and collection of training experience for long-horizon tasks. - Build the infrastructure for reproducible agent environments where models can interact with documents, tools, and external systems during training and evaluation. - Own the performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability. - Identify and remove bottlenecks across training and inference to shorten the path from research idea to useful result. - Build the internal tools and services the team runs on: training data management and versioning, running evals and browsing results, and launching and tracking training jobs and experiments. - Integrate models into production, including serving, latency, cost, and online evaluation, so research reaches customers quickly and safely. - Partner closely with researchers to turn experimental workflows into dependable systems while keeping room for rapid experimentation. WHAT YOU HAVE - Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation. - Strong Python and generalist software engineering skills across backend services, data systems, and internal tools, with familiarity with PyTorch, JAX, or similar ML frameworks. - Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack. - Understanding of post-training workflows; experience with RL rollouts, agent environments, or sandboxed tool execution is a plus. - Practical judgment about what to build versus adopt, and the ability to partner with researchers and ship quickly as needs evolve. We are hiring for this role across multiple levels. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 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