Вакансии

• Lead the definition and evolution of the enterprise data platform strategy by developing, maintaining, and continuously evolving architecture standards, reference architectures, and design patterns aligned with business priorities, analytical requirements, and AI/ML enablement across data and ETL/ELT platforms.

Partner with product owners, product managers, business stakeholders, and SMEs to elicit, analyze, validate, and document functional and non-functional needs, business rules, product requirements, and acceptance criteria.

Location: Los Angeles, California, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Forward-Deployed AI Engineer — Enterprise AI Location: Los Angeles, CA Experience Level: 8+ years Compensation: $200,000–$250,000 base salary + equity Work Model: In-office, typically three to five days per week, depending on client requirements Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and in-office: Our work is client-first, which means in-person collaboration may be required either at the client site. Depending on your assignment and client needs, you should expect to work in person three to five days per week and be based in the Los Angeles Metro area or within a reasonable commuting distance. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. Don’t Meet Every Qualification Yet? If you don’t meet every qualification for this role, we encourage you to apply to our Forward-Deployed AI Engineer (In Training) opportunity. This role is designed for high-potential software engineers and full-stack developers who are building the production engineering, applied AI, and client-delivery skills required to become Forward-Deployed AI Engineers at Turing. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Intellias Meet your recruiter Olha Yakuba olha.yakuba@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Architect Architect Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine, United Kingdom Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you The client is a US-headquartered engineering, architecture, construction and commissioning firm delivering complex facilities for the life sciences and advanced technology sectors. Its knowledge lives across SharePoint, CRM, project management, cost and document systems, and the client is investing in data and AI to put that knowledge to work. Intellias is the client’s data and AI delivery partner. The engagement covers several streams that run in parallel or follow one another: Data platform: a governed Microsoft Fabric lakehouse that consolidates project, commercial and document data into one trusted source. Knowledge and document AI: extraction, search and cited generation over large archives of proposals, specifications, drawings and project records. AI agents and workflow automation: assistants embedded in pre-construction, proposal, delivery and innovation processes, including idea intake, triage and approval flows. Governance and enablement: AI governance, security, environment set-up, including isolated or offline deployments, and capability building for client teams. What you will do Own the account’s target data and AI architecture, keep every initiative aligned to it, and maintain the architecture documents and decision records. Design lakehouse data models (medallion, Delta) with clear lineage, data quality rules and reusable data products. Plan environments, capacity and the path from pilot to production. Design integrations with enterprise systems such as Microsoft 365/SharePoint, CRM, ERP, finance and project systems, plus entity resolution to link clients, projects and documents. Build document intelligence pipelines that use OCR, classification and LLM-based extraction. Architect RAG solutions and AI agents on Azure AI Foundry and Power Platform, with grounded answers, tool use and human-in-the-loop steps. Set up evaluation frameworks with golden datasets, and use them to gate model and prompt changes. Design security and governance: Entra ID/RBAC, document-level access, Purview, audit logging, monitoring and cost controls, plus isolated deployments where required. Act as the client’s trusted technical advisor: run workshops and present trade-offs, cost and risk clearly. Support new client initiatives with estimates, RFP responses, demos, proposals and proofs of concept Mentor data and AI engineers through design reviews, code reviews and prototyping, and help grow the client’s in-house capability. What you need for this Tech stack: Microsoft Fabric / OneLake, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Power Platform and Dataverse, Microsoft Purview, Entra ID, Key Vault, Azure Monitor; integrations with SharePoint (Graph API), Salesforce and Procore. Requirements 8+ years in data engineering or data platforms, including 3+ years as a solution or data architect leading end-to-end designs for enterprise clients. 3+ years of Azure experience (Microsoft Fabric / OneLake, Azure AI Foundry and Azure OpenAI, Azure AI Search etc.) including security and governance (Entra ID, RBAC, Key Vault, private networking). Proven delivery of production data platforms (medallion patterns), experience in data modelling with lineage and provenance, data quality, entity resolution and master data. Delivered at least one generative AI solution (RAG, document AI or agents) beyond the prototype stage. Strong hands-on Python and SQL; working knowledge of PySpark. Ability to explain architecture and AI limits to non-technical business stakeholders, and to defend decisions with trade-offs, cost and risk. Comfortable working across several initiatives at once and switching between strategy and hands-on detail. English at B2+ (Upper-Intermediate) or higher for daily work with US stakeholders. Nice to have Experience in the AEC (architecture, engineering, construction) or life sciences domain: pre-construction, estimating, proposals, commissioning and qualification. Exposure to Procore, Salesforce, Cosential or similar construction and professional-services systems. Power BI / Microsoft Purview / Power Platform / Copilot Studio. Agentic frameworks (Semantic Kernel, LangGraph, Azure AI Foundry Agent Service), Model Context Protocol and LLM evaluation tooling. Infrastructure as code (Bicep or Terraform) and CI/CD for Fabric and Azure (Azure DevOps or GitHub Actions). Azure / Fabric certifications. 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: 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. Location: Austin, San Francisco or New York About the role Cloudflare is hiring a Data Center Architect to define and deliver the physical infrastructure behind high-density compute and GPU deployments across our global network. You'll own 3 connected domains: the liquid cooling chain, the low-voltage connectivity layer, and the MV/LV electrical architecture that powers both. This is a senior individual-contributor role spanning architecture, detailed design, technical qualification, design governance, commissioning, and operational readiness. You're Cloudflare's owner-side technical lead in these domains: the person who connects what our hardware needs with what colocation providers, equipment manufacturers, and delivery partners can actually build. Scope runs from a single rack in commercial colocation to multi-megawatt compute deployments. You'll design power, cooling, and cabling as one system so they don't fight each other at the rack, in the white space, or during maintenance. If your background is only HVAC design, only cold-plate research, or only utility-scale generation, this role will be wider than you expect. We need someone who can hold the electrical, cooling, and cabling layers together. About the team We work with engineering, capacity planning, network strategy, supply chain, and operations to grow Cloudflare's data center and PoP footprint. With colocation providers, hardware suppliers, and delivery partners worldwide, we turn infrastructure requirements into deployments that come online faster, cost less, and work the first time. What you'll do Architecture and reference designs Own the physical-infrastructure architecture. Build reference designs for power, liquid cooling, and connectivity for AI and high-density compute, including how they interface at rack, row, and site level. Maintain the standards, templates, and libraries that deployment, operations, and partner teams build from. Translate hardware and capacity needs into engineering requirements. Turn heat loads, electrical loads, port counts, network topologies, and growth plans into power, cooling, and connectivity requirements and into site and rack qualification criteria. Qualify sites and facility interfaces. Assess provider power and cooling availability, utility and backup capacity, water supply and return conditions, hydraulic capacity, upstream heat rejection, expansion headroom, maintenance constraints, and contractual boundaries. Give go/no-go recommendations with the risks written down. Electrical power architecture (MV/LV) Lead MV and LV electrical architecture: single-line diagrams, power distribution, switchgear and UPS topology, busway and PDU design, grounding and bonding. Design physical power infrastructure, AC and DC, including power conversion, backup generation, energy storage, and distribution, with attention to fault levels, selectivity, and maintainability. Validate designs with modeling: load-flow, short-circuit, arc-flash, and selectivity studies, checked against measured performance where possible. Define digital power requirements for monitoring, metering, protection coordination, and control. Work with controls and operations teams on alarm thresholds, trend retention, remote monitoring, and BMS/SCADA integration. Fold emerging standards (NEC, NFPA, UL, OCP power and rack specs) into forward-looking electrical designs. Liquid cooling Own the liquid-cooling architecture and roadmap. Develop repeatable direct-to-chip designs and evaluate liquid-to-liquid, liquid-to-air, rear-door, and other approaches against deployment needs. Design and validate the hydraulic system. Flow and pressure-drop calculations, pipe sizing, pump selection, balancing, and control requirements. Validate at partial load, during expansion and maintenance, and in failure scenarios, not just at nameplate. Specify equipment and rack integration. Qualify CDUs, heat exchangers, pumps, manifolds, hoses, quick-disconnects, valves, and instrumentation. Coordinate rack access, piping routes, service clearances, and installation sequencing with the electrical, cabling, hardware, and structural disciplines. Own coolant integrity and serviceability. Set manufacturer-aligned requirements for fluid quality, material compatibility, cleanliness, filtration, corrosion control, condensation prevention, and leak detection. Make isolation, fluid handling, component replacement, and servicing safe and maintainable. Low-voltage connectivity and structured cabling Own the physical-layer architecture. Reference designs for rack, row, cage, and site connectivity: copper and fiber distribution, patch-panel placement, cross-connect demarcations, diverse routes, and reserved expansion capacity. Engineer fiber and copper connectivity. Specify media, connectors, trunks, cassettes, and patching for equipment reach and performance. Validate optical loss budgets, connector counts, polarity, breakouts, bend radius, and compatibility across hardware generations. Produce buildable designs. Pathway layouts, fiber schedules, port-to-port patching plans, cable-length schedules, bills of materials, and installation specs. Connect to colocation and carrier infrastructure. Qualify meet-me-room access, provider pathways, cross-connect options, demarcation points, and route diversity. Define handoffs with data center providers, carriers, ISPs, and Cloudflare's network strategy team. Integration, controls, and resilience Coordinate white-space interfaces. Layouts that account for rack access, airflow, liquid-cooling pipes and manifolds, power segregation, pathway capacity, and expansion. Coordinate supports, bonding, grounding, and firestopping with the responsible disciplines and providers. Design for resilience and controlled failure. Evaluate redundancy, shared failure dependencies, cooling and power interruptions, and thermal ride-through. Agree protective responses with hardware and operations teams for pump or CDU failure, loss of facility cooling, leaks, sensor faults, control failures, and power events. Define controls and operational visibility: temperatures, pressures, flows, power metering, leak alarms, equipment status, and capacity telemetry. Governance, delivery, and acceptance Be Cloudflare's owner-side design authority. Own basis-of-design documents, single-line diagrams, P&IDs, cabling and equipment schedules, interface requirements, scopes, responsibility matrices, review gates, and acceptance criteria. Review partner designs and contractor submittals, resolve RFIs and technical disputes, and drive deviations to documented closure. Lead delivery and live-site changes. Guide contractors and remote hands through new deployments, expansions, migrations, and remediation. Work with deployment and operations on installation sequencing, methods of procedure, change controls, and rollback plans that protect running services. Lead commissioning and acceptance. Define factory and site acceptance tests across electrical, cooling, and connectivity: cleanliness and leak-test evidence, flow balancing, loaded performance tests, failure-mode testing, and copper and fiber certification (fiber inspection and cleaning, insertion-loss testing, OTDR where appropriate). Track deficiencies and verify corrective work before sign-off. Keep the physical source of truth accurate. Define labeling and connectivity-record standards. Make sure as-builts, power and cooling records, patching schedules, cross-connect inventories, and test records reconcile with Cloudflare's infrastructure inventory and DCIM. Oversee handover: deficiency closure, operator training, maintenance procedures, spares, and turnover documentation before production. Cost, efficiency, and standards Support sourcing. RFPs, technical bid evaluation, technical negotiations, supplier qualification, and lifecycle cost analysis. Partner with supply chain on prefabricated assemblies, preterminated cabling, rack integration, lead times, and alternatives that cut field labor without cutting quality. Reduce energy and water use. Evaluate phased deployment, consumption, and retrofit options. Evolve standards from evidence. Investigate incidents and recurring installation defects with network and operations teams. Feed commissioning and operating results back into designs, standards, and quality checks. What you'll bring 8+ years in data center mechanical, electrical, or physical-layer infrastructure, critical-facility cooling, or structured cabling, including architecture or technical design leadership. Bachelor's in Electrical or Mechanical Engineering or a related field, or equivalent practical experience. Delivered liquid-cooled compute infrastructure from requirements through commissioning or production handover. Conventional HVAC experience alone doesn't qualify. Create and review electrical single-line diagrams and schematics, with hands-on MV/LV system design including protection, selectivity, and grounding. Strong command of thermodynamics, heat transfer, fluid mechanics, hydraulic calculations, pump and heat-exchanger selection, and cooling performance under variable conditions. Practical experience with CDUs, facility and technology cooling loops, rack distribution, coolant compatibility, leak detection, and the interfaces between liquid-cooled hardware and facility systems. Strong knowledge of copper Ethernet, single-mode and multimode fiber, patching systems, LC and MPO/MTP connectivity, optical loss budgets, polarity, cable management, and the applicable test methods. Experience in colocation environments: cross-connect delivery, diverse physical paths, and the practical constraints of building inside third-party facilities. Able to write and critically review basis-of-design documents, P&IDs, electrical and mechanical specifications, equipment selections, operating sequences, and test plans. Working knowledge of NEC, NFPA, UL, mechanical and plumbing codes, TIA and ISO/IEC structured-cabling standards, relevant ASHRAE data center guidance, and manufacturer operating requirements, and the ability to apply them with qualified local engineering partners. Experience evaluating resilience and maintainability, participating in commissioning, and resolving system-level problems across equipment and organizational boundaries. Experience directing design consultants, contractors, installation partners, or remote hands, with clear ownership of technical decisions and acceptance outcomes. Clear written and verbal communication across disciplines and time zones, and able to run several projects with limited oversight. Legally authorized to work in the United States on a continuing and permanent basis without company sponsorship. [Confirm wording with recruiting.] Bonus points PE, Chartered Engineer, or equivalent registration in electrical or mechanical engineering. BICSI RCDD, DCDC, or a comparable credential. High-density GPU platforms, OCP rack, power, and cooling interfaces, or qualification across multiple hardware and cooling suppliers. Hydraulic and electrical modeling tools (AFT Fathom, PIPE-FLO, ETAP, SKM), thermal or CFD modeling, and validating models against measured performance. High-density optical distribution, parallel optics, preterminated assemblies, and cabling transitions across successive network generations. Modular or prefabricated power or cooling infrastructure, live-site retrofits, DCIM platforms, automated connectivity or telemetry analysis, or lifecycle energy and water performance. Familiarity with Cloudflare-relevant network environments: optical transport, ISP interconnection, out-of-band management, and liquid-cooled rack integration. Travel Travel for site assessments, vendor reviews, factory testing, commissioning, and deployment support, including international travel. What success looks like Sites are qualified against real hardware requirements. Power, cooling, and connectivity responsibilities are unambiguous. Systems prove their electrical, thermal, and connectivity performance, including failure behavior, before handover. Operations has the monitoring, procedures, training, and spares to run them. Why Cloudflare Your work shapes how Cloudflare deploys physical infrastructure across a global network, from long-term architectural choices to getting the next cage online. Strong candidates take different paths. If your experience shows the core capabilities but doesn't match every line above, apply anyway. Compensation Compensation may be adjusted depending on work location. For San Francisco Bay Area based hires: Estimated annual salary of $165,000 - $205,000. For New York based hires: Estimated annual salary of $158,000 - $195,000. 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: USA (Remote) Workplace: Remote About The Opportunity We are currently searching for linguists to join our Medical Talent Community. Given the highly regulated nature of the products in the Haitian Creole market, we are looking for senior linguists with a proven track record specifically within the Life Sciences vertical. We prioritize linguists who understand the nuances of Patient Records and Clinical Protocols. Your specialized expertise will contribute to high-stakes medical and regulatory content. What You’ll Deliver - Regulatory Review: Adapting and validating target text to meet compliance standards. - Life Sciences Expertise: Demonstrable experience in translating for pharmaceuticals, medical devices, or biotechnology. - Standard Operating Procedures: Ability to work within strict GxP environments and adhere to ISO 17100 quality standards. Qualifications - Native-level proficiency in the target language(s) - Currently based in the United States of America - A graduate qualification in translation, linguistics, or language studies, OR - A graduate qualification in another field plus 2 years of full-time professional translation experience, OR - 5 years of full-time professional translation experience. - The ability to follow terminology and reference materials precisely. - Professional experience in translation and localization within the Medical/Life Sciences domains.   Why Collaborate with Lilt? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor, you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. What to Consider Before Applying - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. How to join our Life Sciences Community To ensure we meet our client's regulatory obligations, all Life Sciences partners must complete the following: Step 1: Apply with the English-language version of your Resume/C.V. Step 2: Experience Verification: Providing a project list or references highlighting past work in regulated medical markets. [Life sciences questionnaire] Step 3: Compliance Audit: Confirmation of familiarity with relevant local regulations (e.g., the Japanese Pharmaceutical and Medical Devices Act for Japan-bound content). Step 4: Specialized Assessment: Completion of a domain-specific translation or review test. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Intellias Meet your recruiter Olha Huk olha.huk@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering GenAI Engineer Senior Romania Hybrid APPLY NOW REFER A FRIEND Intellias helps retailers deliver consistent, omnichannel experiences through technology. Join us to develop scalable solutions that drive performance and customer value What project we have for you We are looking for a hands-on Senior AI Engineer to lead the technical design and delivery of enterprise AI agents and MCP-based integrations. The team will develop Model Context Protocol (MCP) services for local business applications and build AI agents that consume both these local MCPs and MCP services provided by a global platform team. The Senior AI Engineer will own solution design, support use-case discovery, provide technical leadership to the engineering team, and participate directly in implementation. What you will do Lead technical discovery and translate business use cases into AI/agentic solution designs. Design the architecture of AI agents and their interaction with local and global MCP services. Design and develop MCP services exposing capabilities of local applications to AI agents. Build enterprise AI agents and agentic workflows. Integrate agents with multiple MCP servers, APIs and enterprise systems. Define agent instructions, reasoning flows, tool-selection logic, approval workflows and human-in-the-loop guardrails. Define reusable patterns and engineering standards for MCP and agent development. Lead and support other AI engineers during implementation. Ensure compliance with enterprise security, architecture and AI governance requirements. Define and monitor agent quality and performance metrics, including task completion, tool failures, hallucinations, latency and cost. Collaborate with global AI/platform teams to ensure interoperability between local and global MCP capabilities. What you need for this Required skills Strong hands-on Python engineering experience. Experience building LLM-based applications, AI agents or agentic workflows . Strong knowledge of REST APIs and enterprise integrations. Strong Microsoft Azure experience. Experience with authentication/authorization such as OAuth 2.0 and Microsoft Entra ID. Understanding of tool/function calling and agent-to-system integration patterns. SQL, JSON, Git and CI/CD. Ability to design production-grade solutions and provide technical leadership. Strong English communication skills. Strong advantage Hands-on Model Context Protocol (MCP) experience. Azure AI Foundry / Azure OpenAI. Copilot Studio. Power Automate. Agent orchestration frameworks such as Semantic Kernel, LangGraph or similar. Azure Functions / API Management / Logic Apps. Experience with enterprise AI governance, evaluation and observability. 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: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Infrastructure organization has the mission of building and delivering the compute orchestration environment, storage and data systems, and essential platform services behind all of Reddit. The Infrastructure organization is looking to hire a backend software engineer to work collaboratively on a team dedicated to building out Reddit’s multi-cloud compute infrastructure. This is a high impact role where you will contribute to design, implementation, and operations for one of the largest sites in the world. The Infrastructure team’s mission is to provide a platform for teams to independently and effectively run their compute workloads in a performant, reliable, and secure way. The position is a mix of software engineering and devops; a lot of the time, we are writing software to improve our compute infrastructure. But there is a substantial amount of troubleshooting and analysis to understand the real problems we face as we scale, and our customer’s workloads change. What you’ll do: Work collaboratively with a team of software engineers and systems engineers to create and maintain the foundational platform for running Reddit’s infrastructure. Design, write, and deliver software to improve the availability, scalability, latency, and efficiency of Reddit’s products in Go and sometimes Python. Guide and contribute feedback to the technical and strategic direction of the compute platform Automate critical aspects of the development process such as service creation and management, as well as critical infrastructure operations. Mentor backend developers across the company. Be the go-to person for developers on complex problems Who you might be: 10+ years of experience developing internet-scale software, preferably in infrastructure roles. 8+ years experience with cloud infrastructure systems is a plus (Kubernetes, AWS / GCE ecosystems). Experience in influencing larger (500+ engineers) organizations on technical direction/best practices. Experience working with cross-functional teams such as design, product, data teams to deliver great user experiences. Strong focus on user experience, usability, scalability, and quality. You are an undying advocate for the user, and you have a deep intuition for how people think and how they interact with software at scale. Software development experience in one or more general purpose programming languages; Python, Go, Rust, Java, C++. Excellent communication skills to collaborate with a service-oriented team and company. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $286,700 — $401,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Ranking Platform team builds and runs the services that coordinate contextualized and personalized ranking on Reddit. We build infrastructure, including a scatter-gather ranking coordination service, feature indexes, and scalable data pipelines that power personalized feeds, search, and other Reddit products. We partner closely with machine learning engineers who develop and productionize models, and with ML Platform teams that build inference and training services and feature stores. Our team mantra is “Intention over Attention.” We help users fulfill their intention for visiting Reddit by connecting them with relevant content and communities. We are a team of builders who value impact, personal growth, openness, and kindness. How You’ll Have Impact As Engineering Manager for Ranking Platform, you will lead the team building a robust, scalable, reliable, and performant ranking and indexing platform. You will partner with senior engineers, backend architects, product managers, and ML leaders to translate product needs into a clear platform strategy and deliver it from ideation through production. You will be accountable for the team’s health, growth, execution, and operational excellence. Working with technical leaders, you will guide architecture and investment decisions, improve the experience of teams building on the platform, and balance new capabilities with reliability, latency, and infrastructure cost. What You’ll Do Lead: Set the team’s direction and roadmap with senior engineers and partner teams. Select, scope, and deliver high-impact initiatives that evolve the ranking coordination services, ML indexes, and data pipelines supporting Reddit’s feeds and discovery experiences. Build: Hire, onboard, and develop a high-performing engineering team. Set clear expectations, provide actionable feedback, manage performance, and create growth opportunities for engineers at different career stages. Maintain direct feedback loops with engineers using the platform, and use their feedback and adoption patterns to guide investment. Amplify: Coach engineers and technical leaders, delegate meaningful ownership, and build a culture of technical excellence, inclusion, and knowledge sharing. Protect engineers’ focus time by removing blockers, reducing unnecessary interruptions and keeping processes lightweight. Deliver: Turn multi-quarter platform investments into achievable milestones. Manage dependencies and risks, communicate tradeoffs and progress, and adapt priorities as partner and business needs evolve. Operate: Drive operational excellence through incident response, blameless postmortems, observability, safe rollouts, and proactive system hardening. Establish clear reliability and performance goals and use them to guide investment. Plan realistically for on-call work and unexpected requests, make reprioritization explicit and address unsustainable operational load. Collaborate: Build strong partnerships with Feed, Search, Ads, ML Platform, and infrastructure teams. Align roadmaps, resolve competing requirements, and make platform capabilities easier to adopt and operate. Evolve: Guide architectural improvements and engineering best practices that make ranking systems more efficient, maintainable, and scalable. Create space for experimentation and continuous learning while holding a high bar for production readiness, spotting unnecessary complexity and recognizing where simplification or consolidation would improve maintainability and help teams work more effectively. What We’re Looking For 5+ years of people management experience leading high-performing engineering teams, including hiring, coaching, career development, and performance management. 7+ years of experience building large-scale backend distributed systems, including substantial experience developing and shipping production software. Experience leading teams or major initiatives in ML infrastructure, recommendation or ranking systems, indexing, or streaming and batch data pipelines. Strong technical judgment in high-throughput platform services and APIs, with the ability to guide tradeoffs among reliability, latency, scalability, data freshness, and cost alongside senior engineers. A track record of defining technical direction and delivering platform initiatives across multiple quarters and teams, with clear prioritization and measurable outcomes. Experience improving production operations through deployment automation, monitoring, system diagnosis, incident management, and reliability engineering. High empathy, excellent organizational and communication skills, and the ability to build consensus across engineering and product teams. You can explain complex technical decisions to technical and non-technical audiences and lead effectively in a distributed environment. Experience with Go or Python; Kubernetes, Docker, AWS, or GCP; data systems such as Redis, Postgres, Memcached, Solr, or Milvus; and streaming frameworks such as Apache Beam or Flink is a plus. BS degree in Computer Science, a similar technical field, or equivalent practical experience. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: USA (Remote) Workplace: Remote About The Opportunity We are currently searching for linguists to join our Medical Talent Community. Given the highly regulated nature of the products in the Nepali market, we are looking for senior linguists with a proven track record specifically within the Life Sciences vertical. We prioritize linguists who understand the nuances of Patient Records and Clinical Protocols. Your specialized expertise will contribute to high-stakes medical and regulatory content. What You’ll Deliver - Regulatory Review: Adapting and validating target text to meet compliance standards. - Life Sciences Expertise: Demonstrable experience in translating for pharmaceuticals, medical devices, or biotechnology. - Standard Operating Procedures: Ability to work within strict GxP environments and adhere to ISO 17100 quality standards. Qualifications - Native-level proficiency in the target language(s) - Currently based in the United States of America - A graduate qualification in translation, linguistics, or language studies, OR - A graduate qualification in another field plus 2 years of full-time professional translation experience, OR - 5 years of full-time professional translation experience. - The ability to follow terminology and reference materials precisely. - Professional experience in translation and localization within the Medical/Life Sciences domains.   Why Collaborate with Lilt? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor, you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. What to Consider Before Applying - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. How to join our Life Sciences Community To ensure we meet our client's regulatory obligations, all Life Sciences partners must complete the following: Step 1: Apply with the English-language version of your Resume/C.V. Step 2: Experience Verification: Providing a project list or references highlighting past work in regulated medical markets. [Life sciences questionnaire] Step 3: Compliance Audit: Confirmation of familiarity with relevant local regulations (e.g., the Japanese Pharmaceutical and Medical Devices Act for Japan-bound content). Step 4: Specialized Assessment: Completion of a domain-specific translation or review test. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Englewood Cliffs, NJ Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! The Opportunity: Become a key strategic partner at LG Electronics USA at our HQ office in Englewood Cliffs, NJ as a Bilingual Sr. Financial Analyst . You'll spearhead the analysis of customer service data, translating complex information into actionable strategies that influence operational improvements and executive decision-making. This role demands a self-starter with a proven ability to identify critical business variables, develop proactive tactical responses, and elevate customer service through advanced forecasting methodologies. Fluency in Korean and English is required. Responsibilities: Conduct cost/benefit and break-even analyses for various business initiatives to identify improvement opportunities, including monthly and quarterly sales productivity and account profitability analyses to support performance reviews and corrective actions for loss-making accounts. Build new and improve existing accounting, planning, and reporting processes to ensure data integrity and efficient analyses, including Ship-to/Bill-to and dealer mapping, sales allocation, accrual data, master files, KPI/Daily Sales tools, and month-end closing support. Provide financial analysis to prioritize and lead cost reduction and profitability improvement efforts across accounts, products, and channels. Provide analytical support for staffing and resource optimization initiatives and other business planning assignments. Create financial and cost models from scratch to develop sound recommendations and support monthly business planning across Sales, Product Management, and including gross/net sales, deductions, marginal profit, P&L, and product/channel plans. Source, analyze, and report quantitative data; perform ad hoc analyses and prepare recurring sales and financial performance reports, including Retail Daily Sales, monthly corporate/channel sales, consolidated sales/P&L, Direct Shipment, Ground Rule, and account sell-out/sell-through reporting. Analyze sales, profitability, KPI, and financial trends; formulate projections, evaluate savings initiatives, and provide fact-based insights into variances and performance drivers. Develop monthly and quarterly financial reporting, including actual and forecast results, and support annual budgeting and business planning activities. Manage sales and operational KPI processes, including target setting, KPI tracking, change control, bonus templates, validation with HR/Corporate Planning, and stakeholder inquiries. Educate, communicate, and partner with site and business leadership to review financial and operational performance, identify improvement opportunities, and drive appropriate actions. Work with Sales, Product Management, TD/BU, HR, Corporate Planning, and other finance and functional teams to build scalable financial processes, reporting tools, and performance metrics. Education / Experience (Requirements): Bachelor’s degree in finance. Minimum 5 years of experience in data analytics or data management using an ERP system (preferred). Proficiency in Microsoft Excel and PowerPoint, including skills in pivot tables, VLOOKUP, charts, tables, and trend analysis. Korean & English fluency is required. Recruiting Range $115,000 — $120,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: United States Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the product Kimchi is Cast AI’s governed AI coding platform – an autonomous coding agent, inference layer, and spend control in one. By intelligently routing tasks across more than 50 open-weight and frontier models, Kimchi helps engineering organizations scale AI-assisted development without losing control of cost, security, or data. As agentic AI coding becomes core infrastructure, token costs multiply, spend limits are merely opt-in, and source code flows to external models with little governance. Kimchi solves this with smart model orchestration, real-time cost attribution and enforced budget caps, agent guardrails, and full data sovereignty – including self-hosted deployment for the most regulated environments. About the role Every engineering org is rolling out AI coding agents, and almost none of them can see what it costs or where their code is going. The buyers are already asking the question Kimchi answers. This is a founding seat. There is no Kimchi team on the ground in AMER yet. You will be one of the first account executives in the region, opening the first enterprise logos, choosing the partners and the events that matter, and shaping the playbook the next hires run. You will not be starting cold. Kimchi sits inside Cast AI, so you inherit a well-funded company, a proven enterprise sales motion, and a large installed base of Cast AI customers who already trust us with their infrastructure. The market is moving fast. Your job is to get there first. What'll You Own? New logo acquisition across AMER enterprise accounts - the core of the role. You build and run your own outbound pipeline, every week, not as an afterthought The full enterprise sales cycle: Opportunity Assessment, Value Discovery, technical validation (POCs and benchmark-driven evaluations), executive negotiation, and close Multi-stakeholder deals with CTOs, CIOs, CISOs, CFOs, Heads of Engineering, and Platform Engineering leads, tying Kimchi to each account's AI coding cost, governance, and infrastructure challenges Upsell opportunities into Cast AI's existing customer base, working alongside the team that owns expansions Kimchi's partner ecosystem in AMER: identifying and pitching the right partners (including cloud providers like AWS and AI-native players), with the channel team supporting onboarding and joint programs Market-building activity that feeds pipeline: picking the events worth showing up at, partnering with marketing on sponsorships and co-hosted events, and working with DevRel on developer community Value Delivery after signature, working with implementation teams and measuring results against the business case What'll You Need? Proven experience running a full enterprise sales cycle as an Account Executive, from Opportunity Assessment through Value Delivery A demonstrated track record selling cloud SaaS in AI coding or developer platforms, AI/ML infrastructure, LLM cost optimization, cloud infrastructure, or FinOps, or a closely adjacent space Hands-on experience running deals with the MEDDIC methodology A history of successful negotiation and closing new-logo deals, with a genuine focus on long-term customer outcomes A strong outbound orientation: you build your own pipeline consistently rather than relying on inbound Comfort operating in a build-from-scratch environment, where you own the outcome and pull in partners, marketing, and DevRel to get there What Makes You Stand Out? You have sold complex AI, developer-platform, or cloud software to enterprise technical buyers and can independently create pipeline, run discovery, and close new logos You are comfortable selling to financial and security stakeholders (CFOs, CISOs) as well as engineers - Kimchi deals are multi-stakeholder by nature You have converted technical engagement or PLG usage into committed enterprise agreements You have built partner or ecosystem relationships (cloud marketplaces, SIs, AI-native vendors) that turned into sourced pipeline You have been an early or founding seller in a new region or product line What’s in it for you (US)? Join a fast-growing company at the forefront of cloud-native automation and Kubernetes technology. Enjoy a flexible, remote-first global environment. 401(k) retirement plan 100% company match on employee contributions up to 6% of pay (available after 3 months of employment). Access UnitedHealthcare plans including medical, dental, and vision coverage. Equity options. Learning budget for your professional and personal growth. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Englewood Cliffs, NJ Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! The Opportunity: The Financial Analyst supports sales and business planning through financial analysis, reporting, forecasting, and data management. This role maintains reporting tools and master data; prepares recurring sales, profitability, and productivity reports; and coordinates monthly business plans, KPI targets, forecasts, and budgets. The analyst also evaluates business initiatives and cost-reduction opportunities, identifies trends and variances, and works with cross-functional partners to improve data accuracy, reporting efficiency, and business performance. Fluency in Korean and English is required. Responsibilities: Drive cost/benefit and break-even analyses for business initiatives by gathering data, maintaining analysis files, and identifying potential improvement opportunities. Own day-to-day planning and reporting activities by maintaining sales, channel, COI, trade mix, and profitability automation tools, developing ad hoc Excel tools, and coordinating data requests and meeting follow-ups. Manage master data and reporting inputs through daily Ship-to/Bill-to mapping, Non-Project updates, model master maintenance, sales allocation and accrual data updates, and monthly new model updates with Product Management. Manage recurring sales and financial performance reporting, including Retail Daily Sales, weekly NGSI reports, monthly corporate/channel sales, consolidated sales/P&L, Direct Shipment, Ground Rule, customer profit analysis, and account sell-out/sell-through reporting. Drive customer and account profitability analysis by preparing data, tracking improvement actions, and addressing routine reporting inquiries. Manage monthly and quarterly sales productivity analysis by preparing data, tracking results, and maintaining productivity reports by salesperson and team. Coordinate monthly business planning by consolidating inputs from Sales, Product Management, and TD/BU and updating gross/net sales, deductions, marginal profit, P&L, and product/channel plans. Coordinate sales and operational KPI planning by maintaining KPI trackers, target inputs, change logs, and bonus templates and driving validation with HR/Corporate Planning. Execute monthly and quarterly financial reporting, forecasts, annual budgeting, and ad hoc analyses by collecting data, updating models, and analyzing basic trends and variances. Conduct financial and cost analyses for cost reduction, savings, staffing, and resource optimization initiatives in collaboration with senior team members. Own the maintenance and continuous improvement of existing accounting, planning, and reporting tools and processes to ensure data integrity, timely reporting, and efficient analyses. Partner with Sales, Product Management, TD/BU, HR, Corporate Planning, and other finance and functional teams to collect inputs, drive action-item follow-up, and improve scalable reporting processes and performance metrics. Education / Experience (Requirements): Bachelor’s degree in finance. Minimum 3 years of experience in data analytics or data management using an ERP system (preferred). Proficiency in Microsoft Excel and PowerPoint, including skills in pivot tables, VLOOKUP, charts, tables, and trend analysis. Korean & English fluency is required. #LI-TF1 Recruiting Range $75,000 — $90,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: London About us The Financial Times ranks among the world’s foremost news organisations. It is known globally for its authority, integrity, and accuracy. Its mission is to provide quality information and services across the globe. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, build work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and encourage you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Develop a newsworthy career at the FT. Our dedication to inclusion and fairness We believe everyone should have a fair opportunity to contribute, succeed, and reach their full potential. That means ensuring everyone is heard, respected, and valued, while identifying and removing barriers that may get in the way. Our dedication is to be an employer role model, grounded in inclusion and fairness for all. We want every application to receive fair and thoughtful consideration; therefore, all applications are evaluated by a member of our recruitment team, not by AI. The role We’re looking for a Senior Product Designer to join our Editorial Technology team, helping build the tools journalists and editors use to compose, manage, and publish world-class journalism. You’ll build experiences across Spark, our newsroom content management system (CMS), and related editorial tools supporting written stories, video and audio. This role involves working on intricate products that directly aid journalism production at the FT. Work often starts without a clear brief or defined project. You will need to be comfortable investigating problems, grasping detailed workflows, and helping decide the appropriate course. Collaborating with product managers, engineers, and newsroom colleagues, you'll merge user research, systems thinking, and strong design skills to develop intuitive, accessible tools for expert users. You'll also consider how editorial tools interact with the reader experiences they facilitate across our website and apps, partnering with our Customer Products teams as needed. AI is increasingly crafting editorial workflows, and you'll have chances to explore how new technologies can assist journalists and editors. These include tools that improve editorial quality and accuracy. Key responsibilities Lead the end-to-end build process, from early problem framing and discovery through information architecture, exploration, prototyping, testing and delivery. Develop a deep understanding of how journalists and editors work, using research, workflow mapping and direct engagement to find opportunities for improvement. Partner with product managers and engineers to build product direction, define problems and establish clear priorities, particularly where requirements are ambiguous. Build intuitive, accessible experiences for complex editorial workflows, including the creation and management of written and multimedia content. Work closely with engineering teams to understand technical architecture, data, systems and constraints, ensuring built solutions are practical and achievable. Build positive relationships with newsroom collaborators, bringing their expertise into the development process while applying sound design judgement. Consider how editorial tools connect with customer-facing experiences, collaborating with Customer Products teams to support consistency and shared development patterns. Communicate build decisions, recommendations and trade-offs clearly, helping teams navigate complexity and make informed decisions. Investigate ways AI can assist editorial workflows, such as quality and accuracy checks, while collaborating closely with editorial, product, and engineering colleagues. Use AI-enabled tools such as Codex or Figma Make, where appropriate, to prototype, test ideas and communicate technical assumptions. Stay informed about developments in AI-assisted build and prototyping, bringing relevant approaches and ideas into the team. Required skills and experience Strong product development experience across user research, UX, visual design, information architecture and prototyping. A portfolio demonstrating high-quality product development work, your individual contribution and measurable impact. Experience crafting and delivering complex digital products, including internal tools and workflows for expert users. Demonstrated capability to carry projects from initial problem identification through research, prototyping, validation, and final delivery. Strong product and systems thinking, with an ability to understand how interconnected tools, workflows and technologies work together. A thoughtful and analytical approach to problem-solving, with the confidence to challenge assumptions and explore alternative solutions. Experience planning and conducting proportionate user research, combining qualitative and quantitative insights to inform development decisions. Sufficient technical understanding to collaborate effectively with engineers and navigate complex systems, data and technical constraints. Strong Figma and prototyping skills, with practical experience applying accessibility principles. Experience using AI-assisted prototyping or development tools, with the judgement to assess their opportunities and limitations. Excellent communication and collaborator management skills, with the ability to build positive relationships across multidisciplinary teams. Confidence working through ambiguity, crafting requirements and helping teams move towards clear, considered solutions. Desirable Experience crafting content management systems, editorial platforms or newsroom tools. A grasp of digital publishing workflows, including the creation and management of multimedia content. Experience working on products that connect complex internal systems with customer-facing digital experiences. What’s in it for you? Our benefits Our benefits vary by location but we are committed to providing outstanding perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here. We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, encouraging positive relationships and team cohesion, and supporting peer learning. We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams. Accessibility We are a disability confident employer and Valuable 500 signatory. Please inform us if you need any reasonable adjustments or accommodations during the application process or to assist you in attending an interview. If you wish to talk about your needs or have any queries, email talent@ft.com and someone from our team will gladly assist you. Further information At the FT, we value innovation and the adoption of technology and accept that applicants may bring AI tools to bear in their application process. Feel free to use AI to aid your application, but all information you provide must be honest and accurately display your skills, experience, and qualifications. Candidates should be aware that the use of AI during the application process might be observed to guarantee a fair and transparent hiring experience for everyone. Please be cautious of fake job postings and offers pretending to come from the Financial Times. All genuine roles require applications through the official Financial Times careers website. The FT will never request financial details, payments, or third-party referrals during recruitment. If you doubt a job's authenticity or suspect a scam, contact talent@ft.com. Interested in the FT but haven’t found the right position yet? Join our Talent Community to get exclusive updates, highlighted jobs, and insights into working at the FT.

Location: Denver, CO, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview Fanatics Betting & Gaming is continuing to build and evolve AI-powered customer experiences through our GenAI customer service chatbot (FBGA) and our internal co-pilot for customer service agents, ARENA. The quality of those experiences depends on the knowledge behind them. As Senior Manager, Knowledge Management, you will lead the team that owns that knowledge base, turning what we learn from customer cases into the best user experience possible, whether for our end customers or internal stakeholders. You will work with automated tooling developed by our Engineers to build and refine knowledge articles (KAs), drawing on input from stakeholders, operational data from our customer contacts, and signals from our evaluation and quality data. You’ll be Operations’ primary partner to Product and Engineering on knowledge, content, and the systems that deliver it. This role suits an exceptionally organized leader who can run a disciplined content lifecycle, translate case data into prioritized action, and operate comfortably from strategy through execution.This role suits an exceptionally organized leader who can run a disciplined content lifecycle, translate case data into prioritized action, and operate comfortably from strategy through execution. Responsibilities Knowledge base ownership Own the knowledge base that powers FBGA and ARENA, including its structure, taxonomy, content, accuracy, and coverage Establish and run a content lifecycle with clear owners, testing and review cadences, and approval workflows, so content stays current as policies, products, and states change Set and enforce content standards that keep knowledge consistent, compliant, and easy for both people and AI to use Drive the evolution of internally developed tools and automated processes so that Knowledge can scale and keep pace with the broader business Insights and trend analysis Drive analysis of trends across case types and subtypes, focusing on containment, escalation, repeat contact, and delivering a quality user experience. Turn trends and quality findings into a prioritized backlog of content, process, and product improvements, and see them through to impact Deliver regular readouts to Operations leadership and partner teams that connect knowledge changes to measurable outcomes Cross-functional partnership Serve as the Operations lead partner to Product and Engineering on knowledge systems, tooling, and the requirements that shape how knowledge reaches FBGA and ARENA. Partner with our Quality team to act on evaluation findings, and with our Go-To-Market team so launch content is ready before go-live Surface customer and operational insights to Product, Marketing, Compliance, and other frontline teams Team leadership Lead, hire, and develop the Knowledge team, setting clear priorities and raising the bar on rigor and ownership Build the operating rhythm for the team, including planning, intake, prioritization, and reporting, so work is visible, organized, and predictable Ensure the team follows all internal and external guidelines and regulations. Qualifications 8+ years of experience in operations, knowledge management, customer experience, or a related field, including leading teams. Proven ability to build and run a content or knowledge function with defined standards, ownership, and governance. Strong analytical skills, with the ability to synthesize large amounts of case and performance data into clear priorities and recommendations. Track record of partnering effectively with Product and Engineering teams on requirements, prioritization, and delivery. Rigorous attention to detail and strong organization, with the ability to manage many parallel workstreams and deadlines. Exceptional written and verbal communication, including the ability to tell a clear, data-backed story to senior leaders. Ability to operate from strategy to execution, and to turn strategy into operating practice. Ability to pass required licensing mandated by state racing and gaming regulatory bodies. Bachelor’s degree or equivalent experience. Preferred Qualifications Experience with AI-assisted support, chatbots, or retrieval-based knowledge systems, and how content quality affects their performance. Experience in online sportsbook, casino, or poker, or another regulated, fast-moving environment. Familiarity with proprietary online gaming tools, systems, and reports (Fraud, Payments, Gaming, Sportsbook). Experience with knowledge management platforms and content analytics. Hands-on SQL or data analysis skills. Deep empathy for the customer and curiosity about technology as a customer experience enabler. Master’s degree Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $150,000 — $170,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Singapore; Philippines; Indonesia; Australia; Thailand; Khazakstan; Armenia Workplace: Remote Location: Fully Remote (Singapore time zone) Start Date: ASAP Languages: Fluent English required Industry: AI / Data Infrastructure Team: Go-to-Market (GTM) Type: Full-time ABOUT THE OPPORTUNITY Pragmatike is hiring a GTM Engineer on behalf of a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Its marketplace connects data providers with leading AI companies, including startups, Fortune 500 companies and frontier AI labs. Backed by leading venture investors, including Y Combinator, the company is scaling rapidly and expanding its commercial operations. The company operates a two-sided marketplace where leading AI labs specify the data they need, and the commercial team identifies businesses and individuals who can provide it. As the business grows, the focus is shifting towards building the systems and infrastructure needed to scale these operations efficiently. As a GTM Engineer, you'll approach go-to-market as an engineering challenge. You'll own the technical infrastructure behind the commercial team, building data pipelines, automations, integrations and internal tools that help a lean team source, qualify and close opportunities at scale. This is an engineering-first role with a strong commercial focus, ideal for someone who enjoys building practical systems, solving operational bottlenecks and working closely with sales teams and founders. The company has offices in San Francisco and Singapore, with remote opportunities also available. Working hours will align with either Singapore or US Pacific business hours, depending on your location. WHAT YOU'LL DO - Own the GTM tooling stack end to end, including selecting, configuring, integrating and maintaining the tools used by the commercial team. - Build scalable sourcing systems, including scrapers and data enrichment pipelines, to identify relevant data providers and opportunities. - Develop and maintain the data infrastructure behind GTM, connecting CRM, marketplace and product data into a reliable source of truth for pipeline, listings and revenue. - Build internal tools to support provider research, listing quality checks, pipeline management and sales forecasting. - Automate repetitive workflows across sourcing, qualification, lead routing and reporting. - Identify operational bottlenecks with the founders and commercial team, prioritising automation projects with the highest impact. - Explore and implement AI agents where they provide clear advantages over traditional automation. - Make build-versus-buy decisions for GTM tooling, keeping the technical stack efficient, reliable and easy to maintain. WHAT WE'RE LOOKING FOR - 2+ years of professional software engineering experience. - Strong programming skills in Python or TypeScript, with fluent SQL. - Experience building internal tools, automations or integrations used by other teams in their day-to-day operations. - Hands-on experience developing data pipelines and API integrations between different business systems. - Strong problem-solving skills and the ability to translate business needs into practical technical solutions. - Commercial awareness and an interest in revenue operations, with the ability to understand sales workflows and prioritise projects that directly support business growth. - Clear written communication skills and the ability to take ownership in ambiguous, fast-moving environments. Nice to Have: - Experience in RevOps, growth engineering, sales engineering or forward-deployed engineering. - Hands-on experience implementing LLMs or AI agents in production environments. - Previous experience in an early-stage startup or as a founder. - Familiarity with AI training data, including RL environments, evaluations and benchmarks. We're open to motivated candidates who don't meet every requirement. Strong engineering fundamentals, ownership and the ability to learn quickly are what matter most. WHY THIS OPPORTUNITY - Build systems that drive revenue: Develop the tools, integrations and pipelines that power the entire commercial operation. - High impact in a lean team: Automate critical workflows and help a small GTM team operate at significantly greater scale. - Work directly with founders: Collaborate closely with the founding and commercial teams, identifying problems and deciding what is worth building. - Work with modern AI tooling: Explore and implement AI agents and automation solutions where they deliver real operational value. - Flexible working setup: Choose between on-site opportunities in San Francisco or Singapore, or remote work aligned with Singapore or US Pacific business hours. EQUAL OPPORTUNITY & PRIVACY Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico Workplace: Remote Location: Fully Remote (Pacific time zones) Start Date: ASAP Languages: Fluent English required Industry: AI / Data Infrastructure Team: Go-to-Market (GTM) Type: Full-time ABOUT THE OPPORTUNITY Pragmatike is hiring a GTM Engineer on behalf of a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Its marketplace connects data providers with leading AI companies, including startups, Fortune 500 companies and frontier AI labs. Backed by leading venture investors, including Y Combinator, the company is scaling rapidly and expanding its commercial operations. The company operates a two-sided marketplace where leading AI labs specify the data they need, and the commercial team identifies businesses and individuals who can provide it. As the business grows, the focus is shifting towards building the systems and infrastructure needed to scale these operations efficiently. As a GTM Engineer, you'll approach go-to-market as an engineering challenge. You'll own the technical infrastructure behind the commercial team, building data pipelines, automations, integrations and internal tools that help a lean team source, qualify and close opportunities at scale. This is an engineering-first role with a strong commercial focus, ideal for someone who enjoys building practical systems, solving operational bottlenecks and working closely with sales teams and founders. The company has offices in San Francisco and Singapore, with remote opportunities also available. Working hours will align with either Singapore or US Pacific business hours, depending on your location. WHAT YOU'LL DO - Own the GTM tooling stack end to end, including selecting, configuring, integrating and maintaining the tools used by the commercial team. - Build scalable sourcing systems, including scrapers and data enrichment pipelines, to identify relevant data providers and opportunities. - Develop and maintain the data infrastructure behind GTM, connecting CRM, marketplace and product data into a reliable source of truth for pipeline, listings and revenue. - Build internal tools to support provider research, listing quality checks, pipeline management and sales forecasting. - Automate repetitive workflows across sourcing, qualification, lead routing and reporting. - Identify operational bottlenecks with the founders and commercial team, prioritising automation projects with the highest impact. - Explore and implement AI agents where they provide clear advantages over traditional automation. - Make build-versus-buy decisions for GTM tooling, keeping the technical stack efficient, reliable and easy to maintain. WHAT WE'RE LOOKING FOR - 2+ years of professional software engineering experience. - Strong programming skills in Python or TypeScript, with fluent SQL. - Experience building internal tools, automations or integrations used by other teams in their day-to-day operations. - Hands-on experience developing data pipelines and API integrations between different business systems. - Strong problem-solving skills and the ability to translate business needs into practical technical solutions. - Commercial awareness and an interest in revenue operations, with the ability to understand sales workflows and prioritise projects that directly support business growth. - Clear written communication skills and the ability to take ownership in ambiguous, fast-moving environments. Nice to Have: - Experience in RevOps, growth engineering, sales engineering or forward-deployed engineering. - Hands-on experience implementing LLMs or AI agents in production environments. - Previous experience in an early-stage startup or as a founder. - Familiarity with AI training data, including RL environments, evaluations and benchmarks. We're open to motivated candidates who don't meet every requirement. Strong engineering fundamentals, ownership and the ability to learn quickly are what matter most. WHY THIS OPPORTUNITY - Build systems that drive revenue: Develop the tools, integrations and pipelines that power the entire commercial operation. - High impact in a lean team: Automate critical workflows and help a small GTM team operate at significantly greater scale. - Work directly with founders: Collaborate closely with the founding and commercial teams, identifying problems and deciding what is worth building. - Work with modern AI tooling: Explore and implement AI agents and automation solutions where they deliver real operational value. - Flexible working setup: Choose between on-site opportunities in San Francisco or Singapore, or remote work aligned with Singapore or US Pacific business hours. EQUAL OPPORTUNITY & PRIVACY Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Remote, Spain GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what’s possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. An overview of this role As a Strategic Account Executive, you’ll own a portfolio of strategic and large enterprise customers and prospects in Spain , helping them realize the full value of GitLab’s AI-powered DevSecOps platform. You’ll solve real business problems for senior stakeholders by breaking into net new enterprise accounts and expanding adoption within existing customers, using a consultative sales approach to connect their priorities with GitLab’s DevSecOps and AI capabilities. You’ll lead full-cycle, complex deals, collaborate closely with pre- and post-sales teams and strategic channel partners, and act as the voice of your customers by sharing their feedback and product ideas through GitLab’s public issue tracker. In your first year, you’ll be expected to build and execute focused account plans, establish a healthy, qualified pipeline, and drive successful evaluations and rollouts that set the foundation for long-term growth across your territory. What you’ll do Own a portfolio of strategic and large enterprise accounts in Spain , driving both new customer acquisition and expansion within existing customers. Lead complex, multi-stakeholder sales cycles from prospecting and qualification through evaluation, negotiation, and close using a consultative approach. Develop and execute focused account plans that connect customer priorities with GitLab’s AI-powered DevSecOps platform and GitLab Duo capabilities. Collaborate with Solutions Architects, Customer Success, Support, and Channel partners to run successful evaluations, rollouts, and long-term adoption of GitLab. Partner with strategic channel partners to plan and execute joint territory activities, co-selling motions, and campaigns that build and progress qualified pipeline. Act as the voice of the customer by sharing feedback and product ideas through GitLab’s public issue tracker and with internal product and go-to-market teams. Maintain accurate activity, pipeline, and forecast data, and contribute to win/loss reviews to continuously improve sales execution and territory strategy. Work with Marketing to shape and support account-based and regional campaigns tailored to priority accounts and key buying centers in your territory. What you’ll bring Experience managing and growing large, complex strategic or enterprise accounts, including both new logo acquisition and expansion of existing customers. Background selling software, developer tools, or related technology solutions to senior business and technical stakeholders in enterprise organisations. Skill in building and executing structured account plans, managing pipeline and forecast data, and coordinating cross-functional resources across pre-sales, post-sales, support, and channel partners. Ability to run full-cycle, multi-stakeholder sales processes using a consultative approach, from prospecting and qualification through evaluation, negotiation, and close. Effective communication and presentation skills, with the ability to translate customer needs into clear input for product, marketing, and technical teams. Familiarity with Git, software development tools, or application lifecycle management, and interest in learning GitLab’s DevSecOps and AI-powered platform. Alignment with GitLab’s values, including transparency, collaboration, and inclusion, with openness to bringing transferable experience from different industries or backgrounds. About The Team You’ll join a regional Strategic Sales team that focuses on GitLab’s largest and most complex customers in Spain . You’ll work closely with Solutions Architects, Customer Success, Support, and channel partners in a fully remote, asynchronous environment, using GitLab itself to plan, track, and document work across regions. We’re focused on helping enterprise customers standardize on GitLab at scale, navigate complex buying centers, and build long-term partnerships that align GitLab’s roadmap with customers’ business and technology goals. How GitLab Will Support You Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you’re excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .