Вакансии

Location: California (Remote) At Talkspace, we are committed to fostering a diverse, equitable, inclusive, and belonging-centered workplace where everyone can thrive while making a difference in mental health. Want to help over two million people receive quality mental healthcare? Come join our mission to get mental healthcare into the hands of everyone! We’re looking for a Part-Time Psychiatric Nurse Practitioner (PMHNP) who is licensed in California and has an active 103 certification (must have “NP Group Setting W/O Standard Procedures” on their CA license). This role is perfect for those seeking the opportunity to work remotely with a diverse patient base while enjoying the flexibility and rewards of private practice—without the hassle of administrative work. Let Talkspace handle the insurance billing, marketing, and administrative costs, so that you can create your own schedule and focus fully on providing impactful care! **This is a contract position** What you'll do: Treat patients in your state(s) of licensure Conduct initial Psychiatric Diagnosis Interview Examinations (PDE) for new patient referrals and Evaluation & Management (E/M) sessions for established patients Use the Talkspace platform to conduct video call sessions with patients, submit clinical documentation, and manage patient treatment plans Coordinate with the Talkspace psychiatry team as needed Perks: Easy-to-Use: You can seamlessly conduct video call sessions with patients, manage cases, create treatment plans, and submit your clinical documentation for each patient No Overhead: Say goodbye to insurance barriers, marketing budgets, administrative costs, and other expenses associated with private practice Flexible: Practice from the comfort and safety of your own home, on your own time. Select your own schedule that works with your other personal or professional obligations Secure: We protect all patient-provider communications using best-in-class, bank-level security and encryption technology HIPAA-Compliant: We adhere to HIPAA BAA regulations and ethical codes regarding patient confidentiality Compensation: $110 per initial session with a new patient referral (Psychiatric Diagnosis Interview Examination - 45-60 min) $30-$85 per follow-up session with an established patient, depending on the length of the session (Evaluation and Management - 10-49 min) Additional compensation for psychotherapy add-on codes 90833 & 90836  (when applicable) About you: You must have an active Psychiatric Mental Health Nurse Practitioner (PMHNP) license in California state Active 103 certification on California license (must have “NP Group Setting W/O Standard Procedures” on CA license) Active DEA and individual NPI number Submission of a fully completed, signed CAQH application Reliable internet connection Independent liability insurance; minimum coverage amount required is $1 million occurrence/$3 million aggregate Why Talkspace? ‍Talkspace is a clinical quality led Telehealth company, focused on making quality behavioral health accessible and affordable to millions in need. Its signature psychotherapy and psychiatry product connects individual users with a network of thousands of licensed mental health providers through an easy-to-use and HIPAA-compliant web and mobile platform. With Talkspace, users can send their dedicated providers unlimited text, video, picture and audio messages from anywhere, at any time. Talkspace also provides psychiatry services and prescription fulfillment, adolescent therapy and couples counseling. Our focus to help people feel better starts at Talkspace, where we connect and collaborate as a team to make the world a better place. Fun company-wide events, happy hours, wellness perks, PTO, access to Talkspace products, and competitive benefits are just some of the ways we make Talkspace a great place to work. Do you want to save the world? Come join us! EQUAL OPPORTUNITY EMPLOYER Talkspace welcomes and celebrates talent from all backgrounds, perspectives, and walks of life to foster an innovative and diverse workforce. We encourage you to apply, even if you don’t meet every qualification, if you believe you could make a great addition to this team. Come as you are and learn about the exciting opportunities on our team. Individuals seeking employment at Talkspace are considered without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.

Location: Espoo Workplace: Hybrid DESCRIPTION ROLE HIGHLIGHTS: - Fullstack Engineer, Product Engineering - Location: Finland, Espoo - Department: Solutions - Reports to: Engineering Manager / Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO) Why this role matters We build software products that turn ICEYE’s satellite data and analytics into outcomes customers can rely on during real events such as floods, wildfires, and earthquakes. This is an individual contributor role where you are expected to take ownership of your work and help deliver end-to-end product slices across backend and frontend. You help us ship frequently, keep systems supportable in production, and continuously reduce friction in how we build and run our products. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to day responsibilities - End-to-End Delivery: Own full product slices by building seamless functionality from backend APIs to frontend UIs, turning vague requirements into testable, production-ready code. - Operational Excellence: Maintain system reliability by participating in on-call rotations and improving "observability" through meaningful alerts, clear logs, and automated runbooks. - Process Optimization: Boost team velocity by identifying delivery bottlenecks such as slow CI or flaky tests, and automating away recurring toil to focus on novel engineering challenges. - Pragmatic Engineering: Design simple, maintainable architectures that prioritize incremental changes, clear documentation, and high-quality code reviews to ensure safe deployments. - Collaborative Leadership: Align with cross-functional partners (Product, Design, Data) to solve problems while mentoring peers through pair programming and shared technical context. What we’re looking for Must-haves - Experience building and maintaining production software in a cloud environment, across both backend and frontend. - Solid proficiency in at least one backend language (for example Python, TypeScript/Node.js, Go, Java or Kotlin) and one modern frontend framework (for example React, Vue or Angular). - Comfortable designing and consuming APIs, and working with relational and/or NoSQL databases. - Writes automated tests and keeps changes small and reviewable; ships, learns and iterates. - Builds with operations in mind: resilience, debuggability and supportability. - Extensive experience with Docker in development and production environments. - Communicates clearly: can explain trade-offs and align with Product and peers. - Uses AI-assisted tools (for example Cursor, ChatGPT, Claude Code) pragmatically, with good habits for verifying output. NICE-TO-HAVES - Experience with Python (especially FastAPI and async patterns) and/or TypeScript with React. - Familiarity with geospatial domains, remote sensing or data-intensive applications. - Experience with event-driven architecture and distributed systems. - Familiarity with Kubernetes and infrastructure-as-code (for example Terraform). - Exposure to regulated data environments (for example ISO 27001, DORA or GDPR). - Experience improving the structure, performance or maintainability of a growing frontend codebase. APPLICATION PROCESS - TA Interview - Hiring Manager Interview - Take Home Task - Panel Interview - Department Lead Interview - Final Interview with SVP of Solutions Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at www.iceye.com http://www.iceye.com. https://www.iceye.com/

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities The Model Context Protocol (MCP) is rapidly becoming the standard for how AI agents connect to enterprise systems — and Workato is building the gateway, governance, and runtime layer that makes MCP safe and scalable for the largest enterprises in the world. We are looking for a Senior Product Manager to own critical pieces of our Enterprise MCP roadmap and help shape how thousands of customers expose their tools, data, and workflows to AI agents. You'll work at the intersection of API management, identity, and AI infrastructure. Your decisions will shape how AI agents authenticate, what they're allowed to do, and how enterprises observe and govern agent behavior across hundreds of MCP servers and millions of tool invocations. This is a builder role on a small, senior team. You'll write PRDs that go straight into engineering, run customer design partners, present to analysts, and partner with GTM to land enterprise deals. If you've been waiting for the right moment to go deep on agentic infrastructure with the API and gateway chops you've built — this is it. In this role, y ou will also be responsible to: MCP Gateway capabilities — Drive the roadmap for one or more pillars of our gateway: authentication and identity (OAuth, OIDC, DCR, M2M), policy enforcement, observability, or runtime performance. MCP server lifecycle — Define how MCP servers are designed, published, versioned, and governed across customer environments. Set quality bars and develop the frameworks (tiering, certification, server design best practices) that scale across the ecosystem. Enterprise readiness — Translate enterprise security, compliance, and audit requirements into shippable product. Work directly with CISO and platform teams at design-partner customers. Cross-functional leadership — Partner with engineering leads on architecture decisions, with GTM on positioning and enablement, and with analyst relations on category-defining narratives (Gartner, Forrester). Competitive and market intelligence — Maintain a sharp point of view on the MCP landscape — OSS projects, hyperscaler offerings, and competing platforms — and translate that into product bets and differentiation. Requirements Qualifications / Experience / Technical Skills 4–5 years of product management experience, with at least 2 years on API platforms, API gateways, integration platforms, or developer infrastructure. Deep technical fluency in API management and gateway architecture — you understand the difference between an API gateway, an ingress controller, and a service mesh, and can hold your own in design reviews on rate limiting, routing, policy enforcement, and observability. Working knowledge of OAuth 2.0, OIDC, and modern identity patterns (authorization code flow, client credentials, DCR, token exchange). You can read an RFC and tell engineering whether the proposed design is spec-compliant. Track record of shipping technical products to enterprise customers, including writing PRDs that engineers respect and running design partner programs. Strong written communication — you can move fluently between a CISO briefing, a developer-facing blog post, and a six-page strategy doc. Strongly Preferred Experience with AI Gateway, LLM proxy, or agent runtime products (e.g., LiteLLM, Portkey, Kong AI Gateway, or in-house equivalents). Bonus if you've thought hard about prompt injection, tool poisoning, or agent identity. Hands-on familiarity with MCP as a spec — you've built an MCP server, integrated one, or have strong opinions about transports, resources vs. tools, and elicitation. Nice to Haves Prior experience at an iPaaS, API management vendor, or AI infrastructure company. Analyst relations experience (Gartner MQ, Forrester Wave). Conference speaking or technical writing presence in the API or AI infra communities. (REQ ID: 2925)

Location: Manila, Philippines Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. In addition to our core business, Workstream is home to a small, fast-moving Robotics team focused on advancing the next generation of artificial intelligence and robotics. We partner with a leading AI and robotics company to produce high-quality, large-scale egocentric (first-person) video datasets that help train advanced AI models. What We Offer This is a project-based independent contractor opportunity designed to provide supplemental income. Earn USD $3.50 for every hour of approved video footage submitted. Compensation is based on approved video submissions, not hours worked. Videos are reviewed to ensure they meet Workstream's quality and project requirements before payment is approved. Payment schedules and submission guidelines will be shared during onboarding. Note: This opportunity is intended to complement your existing job or business. Contractors record authentic workplace activities as part of their normal work—not staged demonstrations—and are compensated only for footage accepted by Workstream. About The Role Workstream is collecting first-person video demonstrations of real-world physical tasks performed in commercial and workplace environments. These videos help develop and improve next-generation robotics, artificial intelligence (AI), computer vision, and automation technologies. This is a project-based, independent contractor opportunity designed to provide supplemental income. Contractors record approved workplace activities using camera equipment provided by Workstream. Compensation is based on approved video submissions rather than hours worked. As a Paid Video Contributor , you'll record first-person videos while performing your regular work in an approved commercial or business environment. These recordings help train and improve robotics and AI technologies by capturing authentic workplace activities. What You'll Do Record first-person videos while performing your normal work tasks (no computer, screen-based, repetitive work). Use the camera equipment provided by Workstream. Follow recording, safety, and privacy guidelines. Obtain approval from Workstream and permission from your workplace before recording. Upload videos through Workstream's platform. Maintain recording equipment and apply feedback to improve future submissions. Meet the minimum target of 20 hours per week. Examples of Tasks You may record activities such as: Operating tools or equipment Organizing or restocking inventory Picking, packing, assembling, or preparing items Cleaning work areas or equipment Moving or storing materials Maintenance, repair, fabrication, or construction work Warehouse, retail backroom, or commercial kitchen tasks Other approved physical workplace activities You may NOT record activities such as: Operating vehicles, working at a computer, scrolling your phone, tasks in the dark, task in which your hands get obscured by objects etc., idle activities, overly repetitive tasks. Approved Recording Locations Recording is permitted only in approved commercial environments, including warehouses, workshops, retail stores, restaurants, commercial kitchens, construction sites, manufacturing facilities, offices with physical operations, and other business locations. Residential homes are not permitted unless specifically approved by Workstream. What We're Looking For At least 18 years old Currently working in or have access to an approved commercial workplace Able to obtain permission from your workplace to record Comfortable wearing a head-mounted camera Able to follow instructions and quality standards Reliable internet for uploading videos Detail-oriented and responsive to feedback Onboarding & Documentation Requirements If you qualify to take part in the project, you will be required to complete onboarding verification before filming begins. This includes providing: A copy of a valid government-issued ID (required to secure and issue the camera equipment provided by Workstream) Signed consent and release forms to record in accordance with privacy and compliance guidelines. Recording Requirements Videos must: Show a clear first-person perspective Clearly capture your hands, tools, and work activities Be stable, well-lit, and complete Reflect natural, safe, and authorized work activities Meet Workstream's quality and submission requirements Important: All recording locations must be approved by Workstream, and workplace permission must be obtained before any recording begins. Only record tasks you are trained and authorized to perform. Why Join This Project? By participating, you'll help build real-world datasets that contribute to the development of advanced robotics and AI technologies used worldwide. Your everyday work activities can directly support the next generation of intelligent automation while providing an opportunity to earn additional income through approved video submissions. Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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 the full inclusion of all qualified individuals.

Location: Australia_Melbour_Office Verra Mobility is a global smart mobility technology business. We partner with government agencies and road authorities to deliver road safety cameras and enforcement programs that help save lives, prevent serious injuries and make roads safer. We are seeking a Customer Contracts Manager to lead customer contracting across our Government Solutions business. This is a customer-facing, sell-side commercial contracts role. You will personally draft and negotiate revenue-generating agreements under which Verra Mobility provides technology and services to government customers. It is not a procurement, category management or supplier-contract administration position. Reporting to the Director, Government Contracts, you will work closely with Legal, Bids, Sales, Finance, Technology and Delivery. The role is based in South Melbourne , with three days in the office and two days working from home. Occasional domestic travel may be required. What you’ll do Lead the contractual workstream for government RFPs, tenders and sole-source opportunities. Draft, redline and negotiate customer MSAs, SOWs, NDAs, variations, change orders and related agreements. Develop commercial positions that balance customer requirements, delivery commitments and organisational risk. Identify and manage risks involving liability, indemnity, intellectual property, privacy, data security, warranties and termination. Translate contract terms into clear obligations for operational and commercial teams. Manage active contracts, obligations, variations and renewals through our CLM platform. Develop practical templates, playbooks and standard contracting positions. Improve contract governance through automation, standardisation and process improvement. Support third-party agreements required for customer delivery when necessary. What you’ll bring At least 5+ years’ customer commercial contracts experience. Direct experience of drafting and negotiating agreements under which your organisation supplies technology or services. Demonstrated experience contracting with government or public-sector customers. Experience supporting tenders from opportunity stage through negotiation and execution. Working knowledge of liability, indemnity, intellectual property, privacy, warranties and related commercial risks. Experience managing contracts across different jurisdictions. Experience using a dedicated CLM platform to manage contracts, obligations and renewals. Commercial understanding of pricing, invoicing and financial risk. The ability to provide clear, practical advice while managing multiple deadlines. Experience based primarily on procurement, sourcing, category management or supplier contracts will not meet the requirements of this position. A degree in business, law, commerce or a related discipline is valued. Experience supporting government or Defence customers would be advantageous. Why join Verra Mobility? You will manage contracts supporting programs that save lives and make communities safer, with genuine ownership and direct access to senior decision makers. Our values: Own It, Do What’s Right, Choose Courage Over Comfort and Win Together guide how we work with our customers and one another. We value the unique backgrounds, experiences, and contributions that each person brings to our community and encourage and celebrate diversity. First Nations people, those identifying as LGBTQIA+, females, people of all ages, with disabilities, and culturally and linguistically diverse people are encouraged to apply. Our aim is to create a workforce that reflects the community in which we live. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic trains and serves frontier AI models on some of the largest and most diverse accelerator fleets in the world, and the hardware those models run on is one of the most direct levers we have on capability, cost, and reliability. Our Hardware Systems team owns the system-level architecture of that compute — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface. We're hiring senior hardware systems architects and technical leads who can work broadly across the hardware stack and go deep where it's needed, and who have the judgment to make and own directional calls — what to build, what to buy, what to co-design with a partner. You'll set architecture, write the specs that partners and internal teams build against, and own the validation and qualification strategy that proves the result. The skillsets we need span power, cooling, mechanical, interconnect, signal integrity, data and control plane, system management, reliability and serviceability — applied across networking, compute, storage, and accelerator systems. You'll work closely with our ML performance, infrastructure software, supply chain, and datacenter teams, and directly with hardware vendors and partners across the stack. And because this is Anthropic, you'll have Claude as a genuine collaborator — we expect this team to push on what AI-assisted hardware design and review can look like. Key responsibilities Own system path-finding and architecture for your domain across the breadth of compute Anthropic deploys — from concept and requirements through spec, design review, and deployment — and act as a reviewer and thought partner across the others. Write and own high-level requirements and specifications — system, board, interface, rack — that partners and internal teams build against. Review partner and vendor designs against our requirements, make the build / buy / co-design calls with supply chain and partnership teams, and surface misalignment or schedule risk early enough to act on it. Drive the interconnect and networking architecture that ties our systems together — scale-up and scale-out fabrics, NICs and switches, optics, and topology. Drive board-, chassis-, and system-level architecture with our partners — major component placement, PCB architecture, connector and cable design, and power and thermal budgeting — at the chassis, rack, and data-hall level. Develop performance simulations, hardware models, and "what-if" scenarios to evaluate and choose between candidate hardware architectures. Define validation, bring-up, and qualification strategy for new platforms — including the telemetry and reliability targets they need to hit in the fleet — and track the technology roadmaps and vendor landscape that shape what we deploy in the short and long term. Partner with ML performance and infrastructure software teams so hardware decisions land well for the workloads that actually run on them. Help shape how hardware engineering operates at Anthropic — develop and apply AI-assisted approaches to design, spec review, and validation; establish review forums, spec standards, and partner engagement. Minimum qualifications Deep, hands-on expertise in at least one core hardware-systems domain (e.g., interconnect, power, thermal) for large-scale compute or networking systems. Experience owning hardware system architecture at scale — machine, rack, row, and cluster — and authoring specifications and requirements. Experience taking hardware from architecture through bring-up and high-volume production deployment. Experience working with external hardware vendors and partners — reviewing their designs and holding them to a specification. Ability to reason about trade-offs across adjacent hardware domains (e.g., interconnect ↔ power ↔ thermal ↔ mechanical) rather than within a single one. Track record of technical leadership — owning directional decisions and their consequences, and driving alignment across teams and partners. Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment. Strong written communication — you'll write specs and reviews that many teams depend on. Preferred qualifications 8+ years in hardware systems architecture or engineering for hyperscale, HPC, AI/ML, or high-end networking platforms. Experience with AI accelerator systems (GPU, TPU, or other custom ASIC platforms) and their scale-up / scale-out fabrics. Familiarity with the chip-package-system interface and co-design. Experience establishing a new function, program, or engineering practice. Comfort working with — and curiosity about pushing — AI tools as part of an engineering workflow. Degree in EE, CE, ME, CS, or a related field, or equivalent experience. Depth in one or more of: High-speed SerDes, PCIe/CXL, Ethernet/InfiniBand, and optical interconnect. BMC and platform firmware, hardware root of trust, and secure boot. 48V/HVDC power delivery and direct liquid cooling. Fleet-scale reliability engineering and RAS architecture. Signal and power integrity. Representative projects Define the scale-up and scale-out interconnect architecture for a next-generation training platform, from link budget and topology through switch / NIC / optics selection and the bring-up and validation plan. Architect the management and control plane for a new hardware system: BMC and host control, power / reset sequencing, secure boot and attestation, and the telemetry surface the fleet needs. Own the rack-level power and thermal architecture for a liquid-cooled accelerator rack, and the interface spec between that rack and the datacenter that hosts it. Build the reliability model and RAS strategy for a multi-thousand-node fleet — failure budgets, derating policy, telemetry requirements, and serviceability targets — and drive the design changes that hit them. Run the technical evaluation of a partner's proposed system design against our requirements, write up where it falls short, and drive the changes end to end. Prototype an AI-assisted workflow for partner design review and spec consistency checking, and put it to work on a live platform. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Why PlayStation Our team is innovating and crafting the next generation of gaming experiences on PlayStation! You will work alongside partners in engineering, product, design, and research to build tools and technologies that keep our players safe.  PlayStation Network currently has more than 100 million monthly active users. This is a phenomenal opportunity to join our high leverage team working on building outstanding new experiences! You will lead a passionate engineering team responsible for developing Microsoft Windows® PC based software for the PlayStation® and other applications/devices. You will be responsible for providing strong technical leadership in highly secure and performant PC-based software design and development. Role Responsibilities Lead, coach, mentor, grow, and empower your team to achieve their goals Strong understanding of software engineering methodologies Collaborate with colleagues to develop, implement, and uphold SDK and application security features for PC applications Create technical specifications as a Product Owner Guide the team technically to build high quality products on PC Participate in code reviews and documentation Lead day-to-day activities of the team using Agile/Scrum methodologies Collaborate with geographical diverse teams to coordinate development activities Contribute to engineering-wide initiatives as a member of PlayStation's engineering management team Qualifications 2+ years of people management experience A bachelor’s degree in computer science, or equivalent experience Experience with requirements gathering and analysis, design and development of scalable code with unit tests across multiple technology stacks Experience in building high-performance SDKs or Frameworks Knowledge of client-side Operating System security fundamentals and features Experience with securing consumer client-side applications Extensive experience with C/C++ Experience or knowledge of cryptographic algorithms and ciphers Experience recruiting and building great teams Ability to work with a high level of autonomy and responsibility Excellent written and verbal communication skills Passion for supporting team members’ career growth Nice-to-Have Skills Similar experiences with security engineering on non-PC platforms Experience with low-level engineering tools (e.g. disassemblers/decompiling) Experience with game development or game engine development Experience with securing PC games Experience or knowledge of anti-cheat and/or anti-tamper concepts and products Experience with codesigning and certificate verification workflows Experience or knowledge with data integrity checking Experience or knowledge of binary obfuscation Experience securing IPC traffic Experience using tools such as Ghidra, IDA or x64Dbg At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $201,400 — $302,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Dammam, Saudi Arabia The Data and AI Architect is responsible for defining and governing the organization's enterprise data architecture while extending it to support Artificial Intelligence (AI), Machine Learning (ML), and MLOps capabilities. The role ensures that enterprise data assets are trusted, governed, secure, and optimized to enable advanced analytics, scalable AI solutions, and data-driven decision-making across the organization. Education Bachelor's degree in Computer Engineering, Computer Science, Information Technology, Data Science, or a related field (required). Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related discipline is preferred. Experience Minimum 15+ years of progressive experience in enterprise data architecture, data governance, and information management. Proven experience designing enterprise-scale data platforms and integrating AI and machine learning capabilities into enterprise architectures. Experience establishing enterprise data standards, governance frameworks, and technology roadmaps. Requirements Required Qualifications Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field. 15+ years of experience in enterprise data architecture, data governance, and enterprise analytics. Strong experience designing enterprise data platforms, data lakes, data warehouses, and cloud-native data architectures. Hands-on knowledge of AI/ML platforms, MLOps frameworks, and enterprise AI architectures. Experience with enterprise integration technologies, APIs, event-driven architectures, and distributed data platforms. Strong understanding of data governance, metadata management, master data management, and data quality frameworks. Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of enterprise architecture frameworks such as TOGAF and architecture governance practices. Strong stakeholder management, communication, and leadership skills. Preferred Certifications TOGAF Certification Microsoft Azure Solutions Architect Expert AWS Certified Solutions Architect – Professional Google Professional Cloud Architect DAMA Certified Data Management Professional (CDMP) Microsoft Azure AI Engineer Associate AWS Certified Machine Learning – Specialty Technical Competencies Enterprise Data Architecture Data Governance & Data Quality Master Data Management (MDM) Metadata Management & Data Catalog Data Warehousing & Data Lakes Lakehouse Architecture AI & Generative AI Architecture Machine Learning & MLOps Enterprise Integration & APIs Security, Privacy & Compliance Analytics & Business Intelligence Architecture Governance DevSecOps & CI/CD for AI

Location: Bulgaria; Poland; Serbia Would you like to build a career in a leading multinational IT company? We’re looking for an AI Adoption Officer to lead AI transformation across the organization. You’ll help teams integrate AI into their daily work by identifying high-impact use cases, improving business processes, reducing manual work, and driving productivity through practical AI solutions. Since 2007, MMDSmart has been a leading supplier in cloud communications, delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions. These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated. You’ll work closely with business leaders to identify opportunities, implement AI tools, establish best practices and governance, and ensure employees are confident in adopting AI. Key Responsibilities: Develop and execute the organization's AI strategy and roadmap aligned with business objectives. Identify, prioritize, and implement high-impact AI use cases to optimize business processes and improve productivity. Lead the evaluation, deployment, and continuous optimization of AI tools and solutions across the organization. Drive AI adoption through employee training, change management, and the development of AI best practices. Establish and maintain AI governance, ensuring responsible, secure, and ethical AI usage. Define and monitor KPIs, measure business impact, and provide data-driven recommendations to leadership. Stay informed on emerging AI technologies and identify opportunities to drive innovation and competitive advantage. Requirements Qualifications: Bachelor's degree in Business, Information Technology, Computer Science, or equivalent practical experience. Experience leading AI adoption, digital transformation, business transformation, or process improvement initiatives. Strong understanding of Generative AI technologies and productivity platforms (e.g., ChatGPT, Microsoft Copilot, Google Gemini, Claude, or similar). Experience implementing AI solutions within business environments. Experience training and supporting non-technical users in adopting new technologies. Strong understanding of business process analysis and workflow optimization. Experience leading cross-functional projects and organizational change initiatives. Ability to evaluate AI solutions based on business value and return on investment. Excellent analytical, communication, presentation, and stakeholder management skills. Curiosity about emerging AI technologies and a passion for continuous learning. Benefits Why do talents choose and stay at MMDSmart? Embrace the opportunity to work in a company that cares about: Your Wellness: Access to mental health programs, comprehensive medical insurance, and a sports card*. Your Happiness: Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts. Your Development: Benefit from free educational events & courses, and English classes with native speakers. Your Career: Focus on your professional development in a supportive environment Think this role’s got your name on it? Go ahead and apply, we’d love to see what you’ve got! Equal-Opportunity Employment We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Pakistan; Philippines; Mexico; Colombia; South Africa; India About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, SaaS platforms, and digital-first businesses. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member, contributing to impactful, real-world products. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing performance marketing agency that helps direct-to-consumer (DTC) brands scale profitably through Paid Media, Conversion Rate Optimization (CRO), creative strategy, and conversion-focused publisher networks. Acting as an extension of their clients’ in-house growth teams, they specialize in rapid testing, high-converting funnels, and data-driven experimentation to drive measurable revenue growth. Job Summary We're looking for a detail-oriented QA Engineer to join one of our growing client teams. This is an excellent opportunity for someone passionate about software quality, testing best practices, and delivering exceptional user experiences. You'll work closely with developers, product managers, and designers to ensure applications meet the highest standards before release. Whether you specialize in manual testing, automated testing, or both, you'll play a key role in identifying issues, improving product reliability, and helping build software that customers love. Key Responsibilities Design, execute, and maintain comprehensive test plans and test cases. Perform manual functional, regression, integration, exploratory, and user acceptance testing. Develop and maintain automated test scripts where applicable. Identify, document, prioritize, and track software defects. Work closely with software engineers to reproduce and resolve bugs. Participate in sprint planning, backlog grooming, and release planning. Validate new features, enhancements, and bug fixes before deployment. Perform API testing and verify backend functionality. Test web, mobile, and cloud-based applications across multiple browsers and devices. Collaborate with product and engineering teams to improve overall software quality. Contribute to continuous improvement of QA processes, documentation, and testing standards. Monitor application performance and usability during testing. Support production releases and perform post-release validation. Requirements 2+ years of experience in Software Quality Assurance (QA) or Software Testing. Strong understanding of the Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), and Agile/Scrum methodologies. Experience performing both manual and automated testing across web, mobile, or SaaS applications. Proficiency with QA and testing tools such as Selenium, Cypress, Playwright, Appium, Postman, Swagger, JMeter, TestRail, Zephyr, Xray, Jira, Azure DevOps, Git, GitHub, GitLab, Jenkins, GitHub Actions, Docker, BrowserStack, and similar industry-standard platforms. Familiarity with programming or scripting languages such as JavaScript, TypeScript, Java, Python, C#, or SQL. Experience testing APIs, databases, cross-browser functionality, performance, and cloud-based applications using modern QA tools and frameworks. Strong analytical, troubleshooting, and problem-solving skills with exceptional attention to detail. Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional engineering and product teams. Comfortable working independently in a fully remote, fast-paced environment. Nice to have: experience testing SaaS or mobile applications (iOS/Android), accessibility (WCAG), security or penetration testing, AI-assisted testing tools, distributed remote teams, and an ISTQB certification. Benefits 💰 Competitive salary based on experience and seniority 🚀 Work on impactful, user-facing products with a global reach 📈 Clear career progression in a high-growth tech environment 🌎 Fully remote role with an international team. 🎓 Access to ongoing learning and professional development. 🤝 Collaborative engineering culture with modern development practices.

Location: Palo Alto Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE This role focuses on building and operating the end-to-end execution, training, and data infrastructure that powers Mistral’s agentic models and coding assistants. You will be a core contributor to our agent research stack: designing scalable systems for synthetic data generation, building ultra-fast training and RL execution environments, and maintaining high-throughput execution engines. You will tackle the engineering challenges at every step of the agent lifecycle: from orchestrating 1M+ concurrent and short-lived sandboxes for untrusted code execution to optimizing agent training codebases, distributed trajectory collection pipelines, and dataset processing workflows across massive hybrid and multi-cloud clusters. WHAT YOU WILL DO - Large-Scale Sandboxing Infrastructure: Design, deploy, and operate our high-throughput sandboxing platform, executing LLM-generated untrusted code across over 1 million isolated environments concurrently for model evaluation and interactive RL environments. - Agent Data Generation Pipelines: Architect and scale high-throughput pipelines for synthetic code generation, agent trajectories, rollouts, and self-play data collection to power post-training and RL loops. - Training Codebase & Systems Optimization: Optimize agent training codebases and distributed execution runtimes (PyTorch, Ray, SLURM/Kubernetes) to minimize multi-step rollout overhead, improve GPU utilization, and eliminate scaling bottlenecks. - Low-Latency Orchestration & Warm Pooling: Reduce sandbox cold-start times to sub-second levels using container warm pools, snapshot/restore technology (e.g., CRIU, microVMs), and optimized image delivery layers across hybrid clusters. - Multi-Cluster Queueing & Resource Allocation: Implement Kubernetes-native custom controllers, CRDs, and queuing systems to dynamically route short-lived evaluation, synthetic data, and agent execution tasks across diverse hardware fleets. - Isolation, Security & Security Boundary: Ensure strict multi-tenant network and process isolation for untrusted agent code using container/sandboxing runtimes (e.g., gVisor, Firecracker) and default-deny network postures. - Operational Excellence: Maintain high availability, telemetry, and automated self-healing across millions of transient jobs while participating in on-call rotations for critical agent training and execution pipelines. WHAT WE'RE LOOKING FOR - 4+ years of experience in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting LLM/RL workloads. - Data & Pipeline Engineering: Proven experience building high-throughput data processing and generation pipelines for large-scale datasets (e.g., Ray, Spark, custom distributed queues). - Deep experience with Kubernetes & Container Tech: Strong expertise writing custom K8s operators/controllers, managing Linux cgroups/namespaces, and optimizing Docker image layers and distribution systems. - High-Performance Software Engineering: Advanced proficiency in Python, Go, C++ or Rust, with a track record of profiling and optimizing high-performance ML or backend systems codebases. - Sandboxing & Isolation Technologies: Hands-on experience with lightweight virtualization, container runtimes, or WASM (e.g., Docker, gVisor, Firecracker). - Queueing & Scheduling: Deep familiarity with task queue systems, resource schedulers, and low-latency queuing architectures for high-volume, short-lived workloads. - Comfort with Ambiguity: Passion for working directly alongside AI researchers to rapidly turn frontier agent ideas into scalable, production-grade infrastructure. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Georgia Join the Team! Is technology your passion? Do you want to work with smart, forward-thinking individuals? Do you want to grow in a career you love? At Align, our professionals are the key to our success. We don’t just hire talent, we invest in exceptional people who are forward-thinking, results-driven, and passionate about what they do. We’re a group of tech-savvy professionals who are motivated by making an impact. Our culture is one of unbounded opportunity that celebrates the passions, skills and ideas of our team—work hard, play hard, be smart! We believe great communities lead to great companies. That’s why we offer a dynamic workplace where you feel inspired, engaged and innovative. We offer professionals opportunities to train in the leading technologies, make an impact within the industry and acquire valuable new skills whether on client sites or in one of our regional offices. Position Overview We are seeking an experienced Construction Manager to oversee the fit-out of hyperscale data center white space within colocation environments. This role is responsible for managing all aspects of tenant fit-out construction, including coordination of trades, sequencing of work, quality control, and delivery of mission-critical infrastructure. The ideal candidate has strong construction management experience in data centers, with a solid understanding of white space infrastructure such as containment systems, overhead conveyance (including ladder racks and cable tray systems), structural support frameworks, and cooling components (HVAC). Familiarity with structured cabling systems (low voltage and fiber) is a plus. This is a full-time salaried position offering competitive compensation, comprehensive benefits, paid time off, paid training and performance-based bonuses. This position is based in the Atlanta metro area and will work onsite for local data center projects. Approximately 50% travel outside of the Georgia area should be expected at times. Key Responsibilities Lead on-site construction management for data center white space fit-out projects Oversee installation of: Hot aisle / cold aisle containment systems Overhead cable tray systems and ladder rack conveyance Structural support systems for cabinets, racks, cable trays, and electrical power distribution infrastructure Cooling infrastructure, including HVAC units Power distribution from PDU down to cabinet level Manage trade contractors and ensure proper sequencing of work (e.g., structural supports → overhead conveyance → electrical distribution → cabling → containment) to maintain schedule and avoid conflicts Coordinate with general contractors, subcontractors, and client stakeholders Enforce quality control (QC) processes to ensure installations meet design specifications, load requirements, and industry standards Monitor project schedule, budget, and progress; proactively identify and resolve risks/issues Ensure compliance with safety standards and site protocols Review construction drawings, submittals, RFIs, and shop drawings related to supports and overhead systems Verify proper installation tolerances, anchoring, and support systems for overhead infrastructure Support commissioning and handover processes Required Qualifications 5-10+ years of construction management experience, preferably in mission-critical or data center environments Proven experience managing white space fit-out / tenant improvement projects in colocation or hyperscale data centers Strong understanding of construction sequencing, trade coordination, and site management Demonstrated ability to manage multiple subcontractors and deliver projects on schedule Strong knowledge of QA/QC processes, including inspection of support systems and overhead installations Project Management skills including scheduling and budgeting Candidate must have strong problem-solving and decision-making skills Strong stakeholder and client communication Preferred Qualifications Familiarity with low voltage cabling (LVC) and/or fiber optic infrastructure within data centers Procore experience is strongly preferred Working knowledge of structured cabling systems, pathways, and routing within overhead conveyance systems RCDD-level knowledge or experience with structured cabling design standards (e.g., setting or enforcing standards) Experience coordinating structural support systems with electrical and mechanical trades Experience in commissioning or turnover of data center white space environments To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place. Benefits and Perks: At Align, we believe that supporting our employees both personally and professionally is key to our success. We offer a competitive benefits package designed to promote health, wellness, financial security, and work-life balance, including: Comprehensive Medical, Dental, and Vision coverage Health Savings Account (HSA) and Flexible Spending Account (FSA) options 401(k) plan with a dollar-for-dollar company match at 3% up to an annual maximum of $5k. Complimentary ClassPass membership to support your health and wellness goals Generous Paid Time Off (PTO) Company-paid holidays Cellphone Reimbursement Program Floating Holiday to celebrate a day that is meaningful to you Pre-tax commuter benefits, where applicable Employee wellness programs, events, and team-building activities Employee referral program Align is a premier global provider of technology infrastructure solutions. Align specializes in designing and deploying technology infrastructure solutions from the data center to the desktop as well as providing managed IT services for clients. Our professional services team, which includes Data Center Solutions , provide strategic consulting, design, project management, engineering, implementation and support. Our best-in-class Managed Services team provides IT services and cybersecurity advisory for clients within the Alternative Investment industry. Align is a Microsoft Tier 1 Cloud Solutions Provider (CSP) and Gold Partner. Our client centric approach and passion for driving IT innovation has enabled us to provide tailored solutions and business transformations for over three decades. Leading firms have relied on Align to provide forward-thinking technology strategies that support their current and future business needs. Our teams have flawless track records of delivering technical solutions and have established long-standing relationships with an impressive client list of both Global 1000 and SMB clients. We work across a diverse list of industries including financial services, life sciences (pharmaceutical and health care), retail, technology, media and telecommunications. For more information, visit: www.align.com

Location: Remote, USA; San Francisco Bay Area, USA Workplace: Remote Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield is seeking an Associate General Counsel, Commercial (B2B & API) to serve as a senior commercial attorney and strategic business partner supporting our rapidly growing B2B sales and API business. Reporting to the General Counsel, you will join our commercial legal team as a hands-on senior attorney focused on customer-facing B2B and API agreements, partnering closely with Sales, Product, Engineering, Finance, and Security. You will negotiate and close enterprise SaaS and API-access deals end-to-end, and help build the playbooks and processes that let us close them faster as our B2B sales team and API business scale. This role requires an experienced commercial attorney who combines exceptional legal judgment with strong business acumen. You should be equally comfortable negotiating high volumes of enterprise and API agreements, advising sales and product teams on novel deal structures, and designing scalable legal processes that enable growth without sacrificing appropriate risk management. As our B2B and API business scales, you will play a critical role in shaping how Legal supports Sales and helps close deals faster. What you'll do: Lead Strategic Commercial Transactions - Draft, redline, and negotiate a high volume of customer-facing enterprise SaaS and API-access agreements, owning deals end-to-end with fast turnaround. - Structure and negotiate commercial arrangements involving API access, developer platforms, usage-based pricing, and other emerging AI products, partnering closely with Product and Engineering to align contract terms with how our products actually work. - Lead negotiations with our largest enterprise and API customers, finding workable solutions when customers push back on standard terms while balancing legal risk with business objectives. - Partner directly with Sales and GTM leadership to shorten deal cycles and accelerate revenue. - Provide practical, business-oriented guidance on complex legal issues in a rapidly evolving AI landscape. Advise Company Leadership - Counsel Sales, Product, and Security on legal considerations in customer deals relating to AI, enterprise software, data, intellectual property, and emerging regulations. - Act as a trusted advisor who proactively identifies legal risks and opportunities before they become business challenges. - Advise Product, Engineering, and GTM teams on legal considerations related to API products, developer ecosystems, AI model access, platform integrations, and evolving commercialization strategies. Build and Scale the Commercial Legal Function - Design and continuously improve scalable commercial contracting processes that support significant transaction volume without sacrificing quality. - Develop negotiation playbooks, contract templates, fallback positions, and sales-facing negotiation guidance for enterprise and API deals that empower the business while maintaining appropriate legal controls. - Partner with our Contract Management, Legal Operations, and Legal Systems teams to improve contracting workflows, deal tracking, and turnaround metrics. Drive Cross-Functional Partnership - Collaborate closely with Sales, Partnerships, Product, Security, Privacy, Finance, and Operations to enable efficient decision-making across the organization. - Translate complex legal issues into practical business recommendations for stakeholders at every level. - Support special projects, strategic initiatives, and other high-priority matters that arise in a hypergrowth environment. - Stay ahead of legal and regulatory developments impacting AI, enterprise software, APIs, data, and privacy, and reflect them in our customer terms. Requirements: - J.D. from an accredited law school and active membership in at least one U.S. state bar. - 10+ years of legal experience, with significant experience leading sophisticated commercial transactions for high-growth technology companies. - Significant in-house experience at a B2B or developer-focused technology company strongly preferred; law firm experience a plus but not required. - Demonstrated experience as a trusted legal partner to Sales, Product, and other senior business stakeholders. - Deep expertise negotiating sell-side enterprise SaaS agreements, including indemnities, limitations of liability, data terms, and other risk allocation. - Direct experience personally negotiating API-access or developer platform agreements with customers. - Experience supporting AI, cloud infrastructure, APIs, developer platforms, or other highly technical software products is strongly preferred. - Strong understanding of legal issues affecting AI, software, data, intellectual property, privacy, and emerging technologies. - Exceptional business judgment with the ability to provide practical, risk-balanced advice in ambiguous situations. - Proven ability to build scalable legal processes, improve operational efficiency, and support rapidly growing commercial organizations. - Comfortable with high deal volume, fast turnaround, and priorities that shift daily; able to hit the ground running with minimal ramp-up. - Outstanding drafting, negotiation, communication, and stakeholder management skills. - Highly collaborative, low ego, execution-oriented, and comfortable operating independently in a fast-paced, high-growth environment where priorities evolve quickly. - Ability and willingness to travel once per quarter, including two annual trips to San Francisco and two annual trips to Kazakhstan. - Experience with Ironclad or a similar CLM is a plus. Compensation & Benefits: - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $260,000 – $310,000, depending on experience, skills, scope, and location. - Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a fully remote role based in the United States, with occasional business travel to our San Francisco office and Kazakhstan required for team meetings, planning sessions, company events, and other in-person collaboration. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. While we work remotely, we value active communication, responsiveness, and close collaboration across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Americas Remote Hi, I'm Paul, VP of Engineering at Customer.io . We're always looking for thoughtful, driven Engineering Managers to add to our org. Some of our teams are building customer-facing product and workflows; others keep our distributed systems reliable, observable, and ready to scale. Whichever kind of problem energizes you, if you lead people well, hold a high technical bar, and drive work to completion without waiting to be handed a plan, we want to hear from you. About Customer.io Over 9,000 companies—from scrappy startups to global brands—use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data—what people do or don't do inside a web or mobile app. Under the hood: Go, React, and AI help us ship fast and scale with confidence. What we value Ownership. You set direction and see initiatives through. You create clarity when things are murky and set the path forward rather than waiting for one to be defined, and you're motivated by impact—not just intention. You hold yourself and your team accountable to shipping, not just staying busy. Leaders who can do both. You operate at the strategic level and stay close to the technical work. You can align stakeholders on a plan and earn your engineers' respect in the same day—you don't choose between vision and execution, you hold both. A drive to execute through resistance. Competing priorities, skeptical stakeholders, tired teams—you've moved work forward anyway. You name the resistance, make the call, and own the milestones and the misses. An AI-first mindset. AI is central to how you build and how you lead your team to build. You have a real, concrete point of view on AI-native development, you use agentic tooling yourself, and you bring it into how your squad operates. A healthy skepticism for "the way things are done." You bring rigor and pragmatism. Best practices matter—but never more than forward motion. You know when to build, when to buy, and when to wait—and you're comfortable making the call with incomplete information, then adjusting as you learn. What you'll do Care deeply about our customers and their outcomes Lead your squad to deliver real customer value by owning projects end to end—from planning through delivery, quality, and follow-through Drive execution: set milestones, keep work moving through ambiguity and competing priorities, and ship in small, observable increments rather than waiting for a release window Make confident decisions when the path isn't obvious, and lead your team through them Set the operating rhythm that helps your team move fastest, rather than defaulting to ceremony for its own sake Ensure your squad's solutions are scalable, architecturally sound, flexible, and secure, with strong peer-review, QA, documentation, deployment, logging, and monitoring practices Stay close to the work—jump into design reviews, architecture calls, and incidents rather than watching from a distance Provide direct, timely, and specific coaching, and create meaningful development opportunities for your direct reports Participate in an on-call rotation as required, supporting the reliability of the systems you build Hire, onboard, and manage performance so the right people are in place to hit your squad's goals Bring an AI-native perspective—use AI tools to accelerate the team's velocity and help everyone prototype faster and ship smarter Partner across engineering and other departments to align efforts with customer success, and reach higher when our customers are having a bad day What we're looking for 3+ years managing engineers at a SaaS company (B2B or B2C), ideally early-to-mid-stage A track record of driving execution—concrete delivery outcomes with milestones, dates, and "I drove" ownership, especially in complex or fast-moving environments A strong technical background—you can hold your own in architecture conversations and design reviews, represent your squad's technical choices across the company, and you've shipped real work recently enough to stay credible Comfort operating with high autonomy and little prescribed structure—you create your own clarity and make difficult tradeoffs between competing priorities Demonstrated AI-native leadership—not just personal fluency, but bringing AI-first practices into how your team builds Experience building high-performing, inclusive, and collaborative teams Clear, concise, and direct communication, both verbal and written Compensation & Benefits We believe in transparency. Starting salary for this role is $185,000-$215,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave , unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Recruiter Call (30 mins) - Let's chat about what you're looking for, your leadership style, and how we work. Hiring Manager Interview (60 mins) - Deep dive into your experience leading teams, your technical philosophy, and how you think about building organizations. People Partner Interview (30 mins) - Explore your leadership style, management philosophy, and approach to supporting high-performing teams with our engineering people partner. Technical Interview (60 mins) - Engage in a collaborative system design conversation focused on scaling challenges. Take-Home Assignment - Submit a short written retrospective on a project you’ve led as an Engineering Manager. Retrospective Review Call (60 mins) - We’ll use your written submission as the foundation for a deeper conversation. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Location: Latvia Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone 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: Türkiye Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone 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: Armenia Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders. WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone 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: Romania Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone 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.