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Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 JOB SUMMARY   As a Support Automation Engineer on the Post Sales Systems team, you will design, build, and maintain the automation and AI systems that power ClickUp's post-sales support organization. You'll be responsible for translating business workflows in Zendesk and related CX platforms into scalable, intelligent automations that reduce manual effort, improve customer experience, and free up our support team to focus on high-value interactions.   This role sits at the intersection of engineering rigor and customer empathy. You'll partner closely with the Support and Success organizations, GTM Systems Leadership, and cross-functional stakeholders to automate away toil, surface insights through AI, and build systems that adapt to how support teams actually work. The kind of person who thrives here moves fast, takes full ownership of what they build, and is genuinely excited about applying AI to real operational problems. This role is a direct contributor to GTMSOE's broader mission of operational excellence across the GTM org.   KEY RESPONSIBILITIES   AI-POWERED AUTOMATION DESIGN & DEVELOPMENT - Design and build automations in Zendesk that reduce repetitive support work: ticket routing, field population, note summarization, escalation logic, and customer outreach workflows. - Develop AI-driven workflows using Zendesk AI, custom LLM integrations, and ClickUp Super Agents to automate tasks like ticket summarization, sentiment analysis, knowledge base matching, and response suggestions. - Architect low-code/no-code automation solutions using Workato, Zapier, and similar integration platforms to connect Zendesk with Salesforce, ClickUp, Maven chatbot, and other tools. - Own the full lifecycle of an automation: discovery, design, build, testing, deployment, and ongoing optimization based on usage and feedback.   CX SYSTEMS INTEGRATION & DATA FLOW - Ensure seamless data flow between Zendesk, Salesforce, ClickUp, Chili Piper, Maven AGI chatbot, and other tools in the support tech stack. - Design integration patterns that keep data clean, up-to-date, and accessible to downstream systems without creating maintenance nightmares. - Build and maintain reporting dashboards and data pipelines that surface support health, automation impact, and team productivity metrics. - Partner with the Support org to identify pain points, bottlenecks, and opportunities where AI and automation can deliver measurable value.   AI CAPABILITY EXPANSION - Experiment with emerging AI/LLM capabilities (agents, RAG, fine-tuning) and determine which are production-ready for support workflows. - Build reusable AI templates and patterns that other CX Systems team members can leverage, promoting consistency and reducing duplication. - Collaborate with the broader GTM Systems Engineering team to share learnings and align on AI strategy across post-sales, sales, and finance domains. - Log AI/automation work in the team's AI Excellence registry to promote transparency and cross-team learning.   RELIABILITY & CONTINUOUS IMPROVEMENT - Monitor automation health, error rates, and SLAs; proactively identify and resolve issues before they impact support operations. - Gather feedback from support teams and stakeholders; iterate on existing automations to improve accuracy, reduce false positives, and adapt to evolving business needs. - Maintain documentation and runbooks so that support and CX teams understand how automations work and when to escalate issues. - Help simplify and modernize existing architecture in Zendesk and connecting systems to improve long-term maintainability.   CROSS-FUNCTIONAL COLLABORATION - Work closely with GTM Support teammates and leadership on intake, prioritization, and task execution. - Partner with the Support and Success organizations and key stakeholders to translate business requirements into technical specifications. - Contribute to the GTM Systems Engineering operating model: maintain task hygiene and communicate proactively on large initiatives.   QUALIFICATIONS   EXPERIENCE - 3–5+ years in systems administration, business systems engineering, or customer support platform work. - Demonstrated experience building automations or integrations that have shipped to production and delivered measurable business value. - Hands-on experience with CX platforms, particularly Zendesk at an admin level or higher. - Experience in a high-velocity, collaborative environment where you wear multiple hats and adapt quickly. - Optional but valued: experience with ClickUp, Maven/chatbots, GTM systems, or support-focused SaaS operations.   SKILLS & COMPETENCIES   Technical - Zendesk expertise: Hands-on experience with automations, triggers, business rules, and configuration (admin-level proficiency or higher). - Integration & API work: Comfortable with REST APIs, webhooks, and integration platforms (Retool, Workato, Zapier, or similar low-code tools). - AI & LLMs: Familiarity with prompt engineering, LLM APIs (OpenAI, Claude, etc.), MCP, and how to safely integrate AI into production workflows. You don't need to be an ML engineer, but you should understand when and how to apply AI to solve real problems. - Data & scripting: Comfortable working with JSON, SQL, or light scripting (Python, JavaScript) to build data pipelines and transform data between systems. - Salesforce integration: Understanding of Zendesk-to-Salesforce sync workflows, object relationships, and common integration patterns.   Operational & Mindset - Ownership: You take full responsibility for the systems you build—reliability, documentation, and continuous improvement included. You don't hand off and walk away. - Velocity: You move fast, iterate, and ship. You embrace "done is better than perfect" when appropriate, but never at the expense of reliability or customer trust. - AI & Automation mindset: You're excited about LLMs and AI agents, not intimidated. You experiment, learn quickly, and know when to apply new tools and when to stick with what works. - Collaboration: You're a skilled communicator who can translate between technical and non-technical stakeholders. You ask clarifying questions, challenge assumptions respectfully, and build trust with the teams you support. - Growth: You're customer-centric and measure success not just by automation coverage, but by the real impact on support efficiency and quality.   WHAT YOU'LL WORK WITH   - Zendesk: Primary CX platform—automations, triggers, custom fields, custom apps, and reporting. - ClickUp Super Agents: AI-powered automation and task orchestration within the ClickUp ecosystem. - Salesforce: Zendesk-to-Salesforce integration, data sync, field mapping, and cross-system workflows. - Integration stack: Workato, Zapier, and possibly Retool for custom apps and workflow orchestration. - Maven chatbot & AI tools: In-app support, ticket automation, and AI-driven customer interactions. - Data & reporting: ClickUp, Salesforce dashboards, and custom data pipelines for support metrics and insights. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function. You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable. This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority. We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job. Key responsibilities Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them Formalize and scale Anthropic's M&A security playbook — risk-scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude-powered tooling rather than manual process Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap Minimum qualifications Hands-on application and infrastructure security experience, including cloud and containerized environments Demonstrated ability to rapidly assess an unfamiliar codebase or architecture and produce a clear, prioritized risk assessment for a non-security audience Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems Comfort operating with high autonomy, ambiguity, and tightly-held confidential context Clear written and verbal communication across varied audiences — executives, legal and corporate development partners, and engineering counterparts at an acquired company Preferred qualifications 7+ years in application security, security consulting, or security architecture Prior M&A security due diligence, third-party security assessment, or technical due diligence experience Experience standing up or scaling SAST/DAST, bug bounty, or vulnerability management coverage across multiple codebases Track record of building security automation or tooling rather than relying solely on manual review Familiarity with using LLMs as a core part of your security workflow Experience securing agentic, code-execution, or LLM-integrated systems Representative projects Point Anthropic's internal LLM-driven code analysis and AI-assisted scanning at an acquired repository nobody here has seen, and turn the output into a prioritized remediation plan in days rather than weeks Design the risk-scoring framework Anthropic uses to compare security posture across acquisitions of different shapes and sizes Build the automation that onboards an acquired codebase to Anthropic's vulnerability dashboard, dependency auto-patching, and bounty scope without a human running a checklist Write the security risk memo for a live deal and present it to corporate development and security leadership 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.  We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: - Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. - Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities. - Develop scalable, distributed training pipelines for large models on high-performance compute environments. - Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability. - Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value. - Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP. - Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: - Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience. - 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems. - Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.  - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).  - Familiarity with training models on  mulit-node, multi-gpu distributed compute environments.  - Familiarity with best practices for data, model, and context parallelisms. - Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications. - Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).  - Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute. - Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams. - Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Hamburg adjoe is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. At the same time, we’re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Backed by a $100 million investment from Bertelsmann and operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us. Where Adtech Innovation Becomes a Story Worth Telling The Marketing team hosts the storytellers of adjoe’s innovation. We turn complex adtech solutions – rooted in data and strategy – into compelling stories that resonate across the mobile advertising industry and beyond. Through our events, visual design, and strategic content, we take adjoe’s vision at the intersection of technology, user engagement, and marketing and make it tangible. All while building a community of forward-thinking industry leaders around our brand. Your Mission & Who We Are Looking For: - Enterprise GTM Architecture: You will architect and execute our global, enterprise-ready go-to-market (GTM) strategy across the Americas, EMEA, and APAC. We need someone who has guided at least two previous Tech or SaaS companies through the lifecycle journey from Start-up to Scale-up and Maturity, specifically navigating scale within the $500M to $5B range. - Lean, Multi-Disciplinary Leadership: You will direct and develop a high-performing, agile team of approximately 20 professionals across Growth Marketing, Product Marketing, Regional Marketing, Events, Content Writing, and Graphic Design. Instead of managing large, siloed departments, you will foster a culture of ownership and stay close to both the high-level strategy and the people executing it. - Commercial & Product Alignment: You will bridge the gap between product innovation and commercial execution to ensure our positioning captures and retains high-value enterprise accounts. This means translating complex technical capabilities into clear, value-driven narratives that align global product strategy with commercial sales enablement. - Global & Regional Collaboration: You will serve as a strategic partner to Product, Sales, and Regional Leadership to drive localized demand generation while maintaining consistent brand messaging. You must bring deep experience in B2B enterprise marketing, account-based marketing (ABM), and international localization across the Americas, EMEA, and APAC. - US Ecosystem Expertise: You will optimize our positioning and distribution to generate enterprise demand by leveraging a strong familiarity with the American technology ecosystem and buyer psychology. Your understanding of enterprise SaaS and AdTech marketing playbooks will directly drive our up-market transformation. - Data-Driven Brand Optimization: You will establish clear data frameworks to measure brand sentiment, pipeline contribution, and the ROI of global marketing initiatives. This requires an equal comfort level analyzing pipeline data, CAC, and LTV metrics as you have guiding brand positioning and creative storytelling. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, we are not just managing campaigns, we're helping build the business engine behind one of the fastest-growing adtech platforms in mobile. We are proactively curious: we question status quo, think outside the box, connect the dots. The partnerships you close, the strategies you execute, and the markets you develop will directly shape how adjoe scales globally. - Go Big. Own commercial initiatives that move revenue and expand adjoe's market position. - Move Fast. Operate in a high-velocity environment where decisions are made quickly and impact is visible immediately. - Be Direct. Work in a culture where feedback is honest, collaboration is real, and politics are low. - Thrive Together. Grow alongside a diverse, global team of 250+ people from over 40 countries across 7 offices. - Have Fun. Celebrate wins, build lasting industry relationships, and bring your energy to a team that genuinely enjoys what they do. We welcome applications from people who will contribute to the diversity of our company.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Nebius Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, the Americas and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Infrastructure Acquisition Group The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online. We're a small, founding team building this function from the ground up across the Americas, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales. Examples of Problems We're Solving Determine whether a site can actually support the AI infrastructure we're planning to build. Lead multidisciplinary technical due diligence across geotechnical, environmental, civil, utility, and entitlement workstreams to determine whether a project is technically feasible before Nebius commits capital. Build a repeatable technical due diligence program. Help establish the standards, consultant network, playbooks, and review processes that ensure every infrastructure opportunity is evaluated consistently across the Americas. Identify technical risk before it becomes commercial risk. Work with Site Selection, Project Development, Engineering, and external consultants to identify development constraints early enough to influence negotiations, investment decisions, and project schedules. About the Role As a Technical Due Diligence Manager, you'll evaluate the technical feasibility of AI infrastructure opportunities across the Americas before Nebius commits capital. Working within the Infrastructure Acquisition Group, you'll lead multidisciplinary engineering due diligence across powered land and build-to-suit developments, partnering with Site Selection, Engineering, Energy, Legal, and Project Development to identify technical risk, assess development feasibility, and support investment decisions. This is a build-phase role on a build-phase team. Many of the standards, playbooks, consultant relationships, and technical review processes you'll use are still being written—in some cases, you'll help write them. We're looking for someone who can independently lead complex technical due diligence programs while helping build the systems that make every future evaluation faster, more consistent, and more scalable. What You'll Own Lead multidisciplinary technical due diligence for powered land, build-to-suit, and other strategic infrastructure opportunities. Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites. Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation. Interpret technical findings and provide development recommendations supporting acquisition decisions. Prepare technical due diligence summaries and present risks, constraints, and recommendations to executive leadership. Technical Risk Assessment Evaluate geotechnical conditions, environmental constraints, utility capacity, network connectivity and fiber access, entitlement requirements, constructability, and development schedules. Identify technical risks that may impact project cost, schedule, or feasibility. Recommend mitigation strategies and additional investigations where appropriate. Quantify technical risks and communicate commercial impacts to Site Selection and Project Development. Studies & Consultant Management Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites. Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation. Interpret engineering studies and translate technical findings into clear development recommendations. Maintain technical documentation and due diligence records that support investment decisions. Program Standards & Process Apply Nebius' technical due diligence standards consistently across all projects. Help develop and improve due diligence templates, consultant scopes, checklists, and review processes. Capture lessons learned to strengthen future technical evaluations. Build and maintain a trusted network of engineering and technical consultants. Cross-Functional Collaboration Partner with Site Selection to evaluate new infrastructure opportunities and support acquisition recommendations. Work with Project Development to transition technically viable projects into development. Coordinate with Engineering, Energy, Network, Legal, Finance, and Delivery throughout the acquisition lifecycle. Build trusted relationships with engineering firms, land-use attorneys, environmental consultants, and technical partners. What Success Looks Like Deliver timely technical recommendations that support investment decisions. Identify development risks early enough to influence commercial negotiations and project strategy. Establish consistent technical due diligence standards across the Americas. Build a trusted network of engineering and technical consultants. Help build the standards and processes the Infrastructure Acquisition Group runs on as it scales. What You'll Bring You're comfortable operating in ambiguity and building processes where none exist. You know how to independently lead complex technical due diligence efforts while helping define how future evaluations should be performed. 5–10 years of experience leading technical due diligence, site development, civil engineering, land development, infrastructure design, or large-scale industrial projects. Experience managing multidisciplinary engineering and environmental consultants. Strong understanding of geotechnical investigations, environmental assessments, zoning, entitlements, utility coordination, permitting, and infrastructure development. Ability to interpret engineering studies and translate technical findings into business recommendations. Excellent communication and executive presentation skills. Bachelor's degree in Civil Engineering, Architecture, Construction Management, Real Estate Development, or a related discipline, or equivalent experience. Preferred Qualifications Experience supporting hyperscale data center, AI infrastructure, or mission-critical developments. Professional Engineer (PE), PMP, or similar technical certification. Experience with large-scale infrastructure acquisition or development programs. Knowledge of utility infrastructure, transmission, and power markets. Why Join Nebius The infrastructure supporting AI is being built now. This is an opportunity to help define how Nebius evaluates the next generation of AI infrastructure while helping build the function itself—the standards, consultant network, technical processes, and playbooks that will support infrastructure investments across the Americas. You'll work on some of the industry's largest and most complex AI infrastructure opportunities while helping shape the physical foundation of the global AI economy. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $150,000 — $183,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Mexico Company Background Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia. Project Description The role is focused on developing and modernizing real-time DSP serving services that process bid requests, deliver ads, integrate with third-party platforms, and record measurement events used for reporting and billing. The team works on high-throughput, low-latency systems processing millions of requests per second, with a strong focus on availability, data correctness, performance tuning, and scaling the platform for future growth. Current initiatives include splitting a monolith into microservices, improving deployment automation, and moving measurement pipelines from batch processing to real-time streaming with Kafka. Technologies Java Kafka / Kinesis Redis S3 Tomcat Docker, K8S Git, CI/CD What You'll Do Develop critical high-performance, large-scale services for DSP programmatic integrations and platform products; Work closely with the Product team to understand business needs and translate product requirements into technical solutions; Write clean, efficient, and production-ready code with a strong focus on high throughput and low latency; Design, develop, test, and improve new and existing platform features; Contribute to building large-scale distributed systems processing billions of transactions per day under strict SLAs; Improve test coverage, monitoring coverage, automation, and overall system observability; Follow Agile methodologies and work in a fast-paced engineering environment with quick delivery cycles; Job Requirements 5+ years of commercial experience in Java backend development, with a focus on scalable backend systems; Strong knowledge of the JVM ecosystem, including garbage collection, profiling, and performance tuning; Experience with distributed REST APIs, fault tolerance, scalability, consistency, and resilience; Hands-on experience with low-latency and high-throughput services; Experience with real-time streaming pipelines using Kafka, Kinesis, or similar technologies; Strong knowledge of data structures and algorithms; Experience with web/application servers such as Tomcat; Solid understanding of networking and load balancing concepts; Production experience with Docker and Kubernetes; Experience with Git and CI/CD pipelines, such as GitLab CI/CD or similar tools; Interest in applying modern technologies and AI-assisted development tools; Readiness to participate in PagerDuty rotation (1 week per quarter); Strong verbal and written communication skills, including the ability to explain complex technical trade-offs to both technical and non-technical stakeholders; English: B2 or higher; Nice To Have Prior experience in the AdTech industry; Familiarity with Python or Scala; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior or Staff Software Engineer to join our Data Engineering team based in London. As the Data Platform Team, we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We’re looking for experienced Engineers to help build our data platform from the ground up. You’ll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. WHAT YOU'LL DO - Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. - Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. - Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. - Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. - Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. - Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. - Establish and uphold best practices for data management - versioning, access control, security, and compliance. WHAT WE'RE LOOKING FOR - 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. - Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. - Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. - Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. - Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. - Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. - Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. - Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. - Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have - ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. - Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. - Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. - BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. - Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. - Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: New York; Paris; London 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. About the Role Mistral is seeking a Senior Product Marketing Manager, Industries to support verticalized go-to-market (GTM) initiatives. You will own the development and execution of industry-specific solutions marketing, enabling Mistral to scale and win in high-priority verticals such as manufacturing, finance, and more.   This role is ideal for a strategic thinker who excels at translating industry insights into actionable GTM content and campaigns. You will collaborate cross-functionally with Product, Sales, and Marketing teams to position Mistral as the leader in AI solutions for key industries.   Key Responsibilities Industry Solutions Marketing - Own Industries Marketing for high-priority verticals (e.g. manufacturing, finance), driving messaging, positioning, and GTM content. - Develop and launch complete GTM collateral (pitch decks, sales enablement, blogs, web pages) - Drive integrated campaigns to educate and engage target audiences, supporting demand generation and pipeline growth. Cross-Functional Collaboration - Partner with global Product, Forward Deployed Engineers (FDE's), Sales, and Marketing teams to design, activate, and refine industry-specific solutions. - Channel market and customer feedback to shape product and GTM strategy. Content & Enablement - Create scalable, repeatable use cases and content (e.g., demos, case studies) to empower field teams. - Act as a go-to partner for sales and FDE teams, ensuring consistent, compelling industry narratives. Market & Competitive Intelligence - Monitor industry trends and competitive dynamics to inform product and solutions planning. - Identify and scale repeatable solutions content to accelerate deal cycles.   Who You Are - 5+ years experience in industry solutions, product, or growth marketing, with experience in SaaS, AI, or enterprise technology. - MBA or advanced degree in Marketing, Business, or related field preferred. - Proven track record of launching industry-specific GTM strategies and content. - Strong storytelling skills: ability to simplify complex technical value for diverse audiences. - Collaborative leader with experience aligning cross-functional teams (Product, Sales, Marketing). - Familiarity with global systems integrators (GSIs) and partner ecosystems is a plus. - Self-starter who thrives in fast-paced, innovative environments. 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: New York City Office COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.   ROLE DESCRIPTION As a Solutions Consultant at Tennr, your job is to walk into the messiest patient intake and authorization workflows in healthcare and prove, with evidence, not slides, that Tennr can fix them. You get brought in once a deal is qualified and own the technical evaluation from first demo through signature. That means running discovery to uncover the real operational pain, translating it into a business case, and then building and delivering a proof of concept that makes the answer obvious. You'll partner closely with an Account Executive, but the evaluation is yours to win. This is not a feature-demo role. The best SCs at Tennr understand the customer's business well enough to tell them something they didn't know about themselves — and then show them exactly how Tennr fixes it.   RESPONSIBILITIES - Run structured discovery to identify operational pain points across referral intake, prior authorization, and patient processing workflows — and quantify what they're costing the organization. - Deliver product demonstrations that are built around the prospect's specific problems, not generic feature walkthroughs. - Architect and build tailored Proof of Concepts using Tennr's agentic patient orchestration platform, scoped to what will move the deal. - Build current/future state process maps that make the before-and-after undeniable. - Own deal strategy in partnership with the AE — know where the deal stands, who the stakeholders are, and what needs to happen to close. - Become a genuine expert in the healthcare verticals you cover (DME, infusion, specialty pharmacy, home health) — understand the workflows, the payer dynamics, and the economics well enough to be credible in a room full of operators. - Translate Tennr's technical capabilities into business outcomes for non-technical buyers (operations leaders, CFOs, clinical directors).   CANDIDATE QUALIFICATIONS - 3-7 years in Solutions Consulting, Sales Engineering, or a technical customer-facing role at a B2B SaaS company. - Technically hands-on — you've configured complex software platforms, worked with APIs, or built demo/sandbox environments without engineering doing it for you. You know how data moves through a system. - Security and compliance fluency — you can read a SOC 2, interpret technical controls (encryption, access management, network segmentation), and respond to vendor security assessments without needing someone to translate for you. - CS degree or equivalent technical foundation strongly preferred — not because we need you to write production code, but because it signals you can figure things out when the documentation runs out. - Healthcare experience preferred — DME, infusion, specialty pharmacy, or any provider-side operations background is a significant plus. - Comfortable presenting to and building credibility with both operational buyers and technical stakeholders (IT, security, compliance). - Startup experience is a plus — you build process as you go and don't wait to be told what to do.   WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure. - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week. - Free lunch! Plus a pantry full of snacks.   BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer funded 401(k) match - Competitive parental leave

Location: Paris; Amsterdam; Munich; London; Brussels; Berlin 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   We are looking for a hands on, forward-thinking Privacy Legal Counsel to shape and scale our global privacy strategy across cutting-edge AI products, frontier research, commercial partnerships, and internal core operations. This isn't a typical compliance role focused on boilerplate checklists. Instead, you'll sit right at the heart of innovation, embedding directly with world-class researchers, engineers, product managers and other business leaders to invent impactful, privacy-first solutions for our fast-paced and rapidly evolving AI offerings. Reporting to the Privacy Legal Lead, you will act as a key strategic partner, mastering complex data flows, evaluating emerging risks with innovative judgment, and empowering cross-functional teams to build fast with confidence. We are looking for a qualified lawyer with approximately 5–8 years' post-qualification experience in data protection / privacy law, ideally with prior in-house or technology-sector exposure. Where You'll Make an Impact 1. Champion Privacy-by-Design for our Next-Gen AI Products - Guide products from concept to launch by championing privacy-by-design for new AI products, features, and cloud infrastructure. - Translate nuanced legal requirements into actionable, developer-friendly product roadmap items and operational frameworks. - Stay ahead of global AI and data privacy regulations, translating emerging laws into proactive business strategies. 2. Architect Scalable Privacy Operations - Architect next-generation privacy workflows from the ground up, identifying opportunities to automate compliance and eliminate friction. - Elevate our core privacy documentation (including DPIAs, ROPAs, TIAs, policies, and public-facing notices) to ensure they are clear, robust, and modern. - Streamline day-to-day tasks and governance mechanisms to support rapid scaling while ensuring uncompromised data protection. 3. Empower Other Teams - Lead discussions on complex topics including international data transfer frameworks, vendor management, and cross-border data protection strategy. - Provide responsive, practical legal support across HR, Marketing, Sales, IT, Security, and Executive leadership. - Create engaging, non-legalistic training and self-serve resources that empower non-legal teams to act with speed and autonomy.   What We're Looking For   • Background : Master degree in law, a bar admission is a plus, as well as an experience in a fast-growing environment • Experience: 5 -8 years of experience in a law firm or in a tech company, in IT law and specifically in privacy law and GDPR compliance • Knowledge of privacy law: The candidate has a good knowledge of privacy regulations and guidance from national supervisory authorities as well as the EDPB • Knowledge of Artificial Intelligence: An understanding of artificial intelligence technologies and their applications is essential • Solution oriented approach: The ideal candidate should be able to identify compliance issues and develop effective strategies to address and resolve them. They should be capable of implementing practical solutions • Project management: The candidate has good project management skills • Analytical Skills: Ability to analyze complex legal and technical issues related to AI and to identify potential legal risks and solutions is important. Candidates should be detail-oriented and have strong problem-solving skills • Communication Skills: Excellent written and verbal communication; Strong ability to present complex legal concepts in a clear and understandable manner. Business oriented • International mindset: An international experience is a plus • Adaptability: Given the rapidly evolving nature of AI technologies and the legal landscape surrounding them, candidates should be adaptable and willing to continuously learn and update their skills and knowledge. Ability to work independently and in a team-oriented, collaborative environment. Proactive, flexible, and able to manage multiple priorities in a fast-paced environment   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: Ireland, Dublin 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. Role Overview The Director, IT Core Infrastructure is a senior technology leader responsible for the strategy, transformation, delivery, and operations of SIE’s global core infrastructure capabilities. The role leads a broad, globally distributed organization spanning internal networks and client access, core network connectivity across physical sites, cloud and on-premise infrastructure, and enterprise endpoint management across mobile, Linux, Windows, and Mac platforms. Reporting to the Senior Director of IT, this role leads through multiple managers and is accountable for the performance, security, scalability, reliability, resilience, and user experience of Core Infrastructure services. The Director will translate enterprise strategy into clear priorities, investment decisions, and multi-year roadmaps while balancing transformation, operational performance, technical debt, risk, and cost. This leader will drive the evolution of Core Infrastructure toward highly automated, software defined, self-service, and increasingly autonomous operating models. The role requires the technical credibility to lead across infrastructure disciplines and the breadth to shape technology strategy, lead transformation, influence across organizational boundaries, and take on expanded responsibilities as business needs evolve. What you'll be doing: Functional Leadership & Accountability Lead the Core Infrastructure organization across multiple teams and disciplines, providing clear direction, priorities, and accountability for outcomes. Hold end-to-end accountability for service performance, including availability, reliability, security, resilience, and user experience. Set priorities and make decisions across the Core Infrastructure portfolio, balancing operational needs, transformation, risk, technical debt, and investment. Establish clear accountability across teams while empowering leaders to independently own their services and outcomes. Infrastructure Strategy & Transformation Define and execute a Core Infrastructure strategy and multi-year roadmap aligned with enterprise technology strategy and business priorities. Lead the evolution toward highly automated, software defined, self-service, and increasingly autonomous infrastructure services. Drive adoption of infrastructure as code, observability, AI enabled operations, and modern engineering practices to improve reliability, scalability, speed, and efficiency. Simplify and standardize technology and service models, reducing complexity and improving the ability to operate globally at scale. Partner with Information Security, Service & Support, and other technology organizations to develop integrated solutions and influence broader enterprise technology strategy. Service Delivery & Operational Excellence Establish strong operational practices across service management, incident response, change management, lifecycle management, capacity, observability, and resilience. Ensure infrastructure services meet performance, security, availability, resilience, business continuity, and regulatory requirements. Drive measurable improvements in reliability, employee experience, engineering productivity, automation, cost efficiency, and speed of delivery. Use operational data and service performance measures to identify systemic issues, prioritize improvements, guide investment, and reduce manual operational effort. Enterprise & Cross Functional Leadership Serve as a trusted advisor to senior technology and business leaders on infrastructure strategy, investments, risks, and opportunities. Lead complex enterprise initiatives that span multiple technology organizations and require alignment across priorities, ownership boundaries, and stakeholders. Represent Core Infrastructure in enterprise planning, architecture, investment, risk, and transformation discussions, bringing a perspective beyond the immediate needs of the function. Communicate complex technology decisions and tradeoffs clearly to executive audiences and build strong partnerships across technology and business organizations. People Leadership & Organizational Development Lead, coach, and develop a global organization of managers, architects, and senior engineers. Build a high performing leadership team with clear accountability, strong ownership, and the ability to operate independently. Develop leaders capable of owning major technology domains and enterprise outcomes, creating organizational depth and succession readiness. Continually evolve organizational structure, skills, roles, and sourcing models to support changing business and technology needs. Build a culture centered on engineering excellence, accountability, collaboration, continuous improvement, and measurable outcomes. Financial, Portfolio & Resource Management Own financial planning, forecasting, investment prioritization, and resource allocation across the Core Infrastructure portfolio. Make deliberate investment tradeoffs across transformation, lifecycle, technical debt, resilience, security, operational needs, and emerging capabilities. Drive sustainable cost optimization and develop clear business cases for significant technology investments. Manage strategic vendors, partners, and sourcing models to ensure performance, value, innovation, and alignment with SIE priorities. Governance, Risk & Continuous Improvement Establish appropriate governance, standards, and policies across Core Infrastructure while avoiding unnecessary process and operational overhead. Identify , communicate, and mitigate risks related to availability, security, scalability, lifecycle, capacity, and resilience. Establish and monitor meaningful service level objectives , availability targets, operational health measures, and business outcome metrics. Use data to drive accountability, investment decisions, and continuous improvement. Challenge existing processes and operating models where they create unnecessary complexity or limit speed, automation, or scalability. Contribute to the continued evolution of the broader IT operating model and technology organization. What we're looking for: 12+ years of experience across infrastructure engineering, enterprise technology, or related technology disciplines. 5+ years of experience managing managers and leading large, globally distributed technology teams. Broad understanding of enterprise infrastructure and technology services, with deep expertise in one or more relevant domains and the ability to lead effectively across disciplines. Proven experience operating and evolving large scale, business critical enterprise technology environments. Demonstrated experience leading significant technology, organizational, or operating model transformation across multiple teams or domains. Experience developing managers and senior technical leaders and building leadership depth within an organization. Demonstrated ability to influence senior stakeholders and lead initiatives beyond direct organizational ownership in complex, matrixed organizations. Experience building and executing multi-year strategies, roadmaps, investment plans, and operating models. Strong financial and commercial acumen, including investment prioritization, vendor strategy, and cost optimization. Ability to translate complex technology topics into clear business implications, decisions, and outcomes for executive audiences. 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 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. Base: €124,200 - €186,200 + Bonus & Benefits. 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: Paris Workplace: OnSite 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. Role Summary   We are seeking a Legal Counsel to join our Legal team and focus primarily on Contracts & Commercial topics.   As a member of our legal team (based in Paris), you will be instrumental in : • Supporting our business in drafting our contracts, agreements and terms to enable deal making and revenue generation • Drive contracts negotiations and help contracts adaptation to the evolving AI regulation and compliance   The role reports into our Director, Commercial Legal Affairs based in Paris. The legal team currently comprises 6 persons across Paris and Palo Alto, covering a spectrum of competences across regulatory, IP, contracts and corporate.     What you will do   • Draft and provide strategic advice on a wide range of contracts, including but not limited to AI-related service agreements. • Negotiate (markup, arguments, strategies) such contracts with suppliers, partners, customers and other stakeholders. • With the support of other team members in their respective fields of expertise, stay updated on the latest products and AI-related legal and regulatory developments, including when coming from customers’ fields, and provide guidance to their translation into contract adaptation and negotiation. • Collaborate with cross-functional teams in close partnership with technical and business teams to ensure legal and regulatory compliance in the deployment of AI technologies. • Provide training and support to the business on legal and compliance matters related to AI, and on contract negotiation. • Help on other legal topics as needed (labor law, corporate, competition law, etc.)     About you   Background: Master degree in law, a bar admission is a plus, as well as an experience in a fast-growing environment. Experience: a minimum of 3-5 years of relevant legal experience, preferably in a related technology or AI-focused environment involving contract negotiation. Knowledge of Artificial Intelligence: An understanding of artificial intelligence technologies and their applications is essential. Good knowledge of the relevant area of law, such as data privacy, intellectual property, contract law and liability, regulatory and compliance. Analytical Skills: Ability to analyze complex legal and technical issues related to AI and to identify potential legal risks and solutions is important. Candidates should be detail-oriented and have strong problem-solving skills. Communication Skills: Excellent written and verbal communication; Strong ability to present complex legal concepts in a clear and understandable manner. Business oriented. International mindset: An international experience is a plus. Adaptability: Given the rapidly evolving nature of AI technologies and the legal landscape surrounding them, candidates should be adaptable and willing to continuously learn and update their skills and knowledge. Ability to work independently and in a team-oriented, collaborative environment. Proactive, flexible, and able to manage multiple priorities in a fast-paced environment. Ethical Awareness: A strong understanding of ethical considerations related to AI, such as fairness, transparency, accountability, and bias mitigation, is important.      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: Ukraine; Latvia; Croatia; Czech Republic; Slovenia; Romania; Bulgaria; Kazakhstan; Poland; Hungary; Estonia; Cyprus; Lithuania; Greece; Serbia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Performance Marketing Lead (Google & Microsoft Ads), to lead and scale our advertising across the Ruby Labs portfolio. This is a senior player-coach role. You will own Google Ads and Microsoft Ads execution across multiple brands, coach and develop acquisition managers, set account standards, improve performance, and protect account health across a large multi-brand setup. You will be responsible for scaling spend profitably across Search, Performance Max, Demand Gen, YouTube, and Microsoft Ads. You will conduct regular account audits, identify missed opportunities, and make sure every brand is using Google and Bing to their full potential. This is not a reporting-only leadership role. You need to stay close to the accounts, understand the details, and be able to challenge strategy, structure, bidding, compliance, measurement, and execution yourself. We also work AI-first. You will own the Google and Bing acquisition knowledge base inside Claude, including playbooks, audit frameworks, prompts, automations, QA checklists, and repeatable workflows that help the team operate faster and better. KEY RESPONSIBILITIES - Portfolio Performance - Scale profitable spend across multiple brands, geos, languages, and funnels. - Manage CPA, ROAS, CAC, and payback against real revenue data, not surface-level platform metrics. - Conduct regular account audits across all brands to identify gaps, missed opportunities, inefficient structures, underused campaign types, weak signals, and scaling potential. - Make sure every brand is fully utilizing Google and Microsoft Ads opportunities across Search, Performance Max, Demand Gen, YouTube, and Microsoft Ads. - Work with Managing Directors and UA Managers to translate brand targets into practical Google and Bing execution. - Own channel-level recommendations for budget allocation, account structure, bidding approach, testing priorities, and scale-up opportunities. - Partner with Google and Microsoft teams on betas, new campaign types, product changes, escalation paths, and platform-level opportunities. Team Leadership - Coach, teach, and develop acquisition managers working on Google and Microsoft Ads. - Hire, onboard, manage, and, where necessary, make replacement decisions for Google and Bing acquisition talent. - Own performance evaluation, goals, KPIs, feedback cycles, and personal development plans for the Google and Bing team. - Set the performance bar and craft standards for the team. - Review account work, train UA managers, and raise the overall quality of execution. - Make sure every brand has clear ownership, weekly reporting, and strong channel support. - Stay hands-on enough to audit accounts, challenge decisions, and guide execution from real account data. Account Architecture & Governance - Define standards for account structure, naming, conversion architecture, bidding, testing, reporting, documentation, and QA. - Review major account changes before launch and make sure changes are hypothesis-driven, measured, and documented. - Run monthly account audits across all Google and Microsoft Ads accounts. - Maintain clean documentation so account knowledge, automations, tests, and learnings are not dependent on one person. - Build repeatable standards that UA managers can follow across brands without losing brand-specific context. Policy & Compliance - Own Google and Microsoft Ads policy and compliance across all Ruby Labs brands. - Protect account health across all brands. - Own policy workflows for ad review, disapprovals, appeals, account restrictions, and escalation. - Work closely with brand teams on ad-to-landing-page consistency, claims, pricing, funnel compliance, and policy-sensitive testing. - Build prevention-first processes so policy issues are caught before launch. - Maintain direct escalation paths with Google and Microsoft representatives. - Have the authority to block launches that create material account or policy risk. AI-First Operating System - Own the Google and Bing acquisition knowledge base inside Claude, including playbooks, SOPs, audit frameworks, campaign QA checklists, prompts, and reusable workflows. - Design AI-assisted workflows for keyword research, campaign builds, audits, QA, reporting, opportunity discovery, and optimization review. - Train UA managers to use Claude workflows correctly and consistently in their daily Google and Bing work. - Evaluate workflow quality, improve the knowledge base over time, and turn successful processes into repeatable team standards. - Use AI to increase team speed and quality while keeping human judgment, compliance, and account safety at the center. QUALIFICATIONS - 7+ years of hands-on paid search experience. - Experience coaching, leading, hiring, and evaluating Google Ads specialists, UA managers, or paid search teams. - Direct ownership of large Google Ads budgets, ideally $5M+ per month hands-on and $10M+ per month at portfolio level. - Strong Search, Performance Max, Demand Gen, and YouTube experience. - Microsoft Ads experience, including Microsoft Audience Network. - Proven record scaling accounts profitably across multiple countries and languages. - Strong understanding of subscription economics: LTV, CAC, ROAS, payback windows, cohorts, and value-based bidding. - Deep Google Ads policy experience, including disapprovals, appeals, account restrictions, and compliance-heavy environments. - Strong account architecture, audit, documentation, and measurement discipline. - Ability to identify scaling opportunities and practical account improvements from account-level data. - Clear, direct communication with both acquisition managers and senior stakeholders. Strong Advantage - Experience managing enterprise-level search accounts or large multi-brand paid search portfolios. - Experience with Google Ads scripts, Google Ads API, SQL, or internal automation tools. - Experience building Claude, AI, or agentic workflows for marketing operations. - Experience building team knowledge bases, SOPs, QA systems, and training programs for paid acquisition teams. - D2C subscription, lead-gen, or consumer web funnel experience. - Experience with high-scrutiny categories, trademark-sensitive ads, or complex policy environments. - Experience working directly with Google or Microsoft teams on betas, product pilots, and escalation paths. LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: APAC About the Role OKX is looking for a Senior Director of AI to lead both people and product — building and managing a high-calibre AI team while staying deeply involved in the design, evaluation, and production deployment of autonomous agent systems. This role calls for a leader who leads by doing: technically grounded, sharp on product judgment, and able to translate both into tangible business outcomes. What You'll Do Team Leadership — Build, manage, and develop a team of AI engineers and researchers; own hiring, growth, and performance across the function Agent Product Delivery — Lead end-to-end delivery of autonomous AI Agent products, covering the full lifecycle from requirements and architecture through to production operations Eval-Driven Development — Establish benchmark-driven evaluation frameworks that replace manual iteration with quantifiable quality signals across agent systems Agent Harness Design — Design and implement end-to-end Agent Harness infrastructure to ensure agent stability and reliability in complex, real-world scenarios LLM Orchestration — Orchestrate creative reasoning steps alongside deterministic guardrails, finding the right balance between flexibility and control Engineering Workflow Integration — Embed AI Agent capabilities deeply into core products and engineering pipelines, improving both developer productivity and business value Cross-functional Alignment — Collaborate with product, engineering, and business teams to ensure technical direction stays tightly aligned with strategic priorities What We're Looking For Must-have Master's or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred) 10+ years of experience in AI/ML research, productization, or platform development, including core technical or leadership roles at globally recognized technology companies Deep expertise in LLMs and Generative AI, deep learning, reinforcement learning, recommendation systems, and related areas Proven track record of translating AI capabilities into measurable business outcomes End-to-end delivery experience with autonomous AI Agent products, from inception and architecture through to production operations Hands-on experience integrating AI deeply into engineering and development workflows — such as AI coding assistants, automated code review, or developer productivity tooling Proficiency in Mandarin and English is required to collaborate across our multilingual, cross-regional teams Nice to have Background at an AI-native startup or frontier AI lab, with familiarity with fast-cycle product iteration AI publications, patents, or industry-recognized technical contributions Familiarity with the unique technical challenges of applying AI in crypto, fintech, or high-frequency data environments Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco; Seattle; New York City ABOUT THE ROLE The Enterprise AI Products team builds products that make AI part of how teams work together, not just a tool people use on their own. We bring Perplexity Computer into Slack, Microsoft Teams, Microsoft Office, and MCP server with helping teams collaborate with agents and automate work across conversations, documents, and business systems. That includes workflows that start from a message or business event, carry out multiple steps, and bring people in for decisions and approvals. You’ll build new products from the ground up, working directly with customers to understand their problems and shape what we build next. You’ll combine applied AI engineering with product judgment, moving quickly from prototypes to reliable products that solve recurring problems across many organizations. Ownership extends beyond launch: you’ll use customer feedback and product experiments to improve the experience, grow adoption, and make Computer something teams depend on in their daily work. KEY RESPONSIBILITIES - Design and build AI-powered experiences in Slack, Microsoft Teams, Microsoft Office, and the MCP server bringing Computer into the tools where teams communicate, create, and coordinate work. - Build workflow and automation products that let teams delegate recurring, multi-step tasks to agents, including scheduled and event-triggered execution, human approvals, and visibility into progress and results. - Build shared agent experiences that let teams delegate work, review results, and build on each other’s workflows, with clear ownership and handoffs between people and agents. - Work directly with customers and internal teams to identify high-impact problems, validate ideas through rapid prototyping, and turn successful use cases into scalable, reusable products. - Own products end to end, from problem definition and technical design through full-stack implementation, launch, and production reliability. - Measure and improve activation, repeat usage, and workflow completion, using customer feedback and product experiments to drive sustained AI adoption. - Partner with Product, Design, Sales, and engineering teams to turn customer needs and emerging AI capabilities into reliable product experiences. QUALIFICATIONS - 4+ years of software engineering experience, with a track record of building and shipping production products end to end. - Hands-on experience shipping applications with LLMs or AI agents, with good judgment about their capabilities and limitations and experience improving product quality through evaluation and user feedback. - Strong software engineering and system design skills, with proficiency in Python or Go and the ability to work across backend services and user-facing applications. - Strong product judgment and the ability to translate ambiguous customer needs into simple, effective product experiences for users with different levels of technical expertise. - Comfort working directly with customers, moving quickly between discovery and implementation, and owning problems without a fully defined specification. - Experience with enterprise, growth, or collaboration products is a plus. If you're excited about this role, we encourage you to apply even if your experience doesn't match every qualification listed above.

Location: San Francisco Description In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day. As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS Why Perplexity is different - Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What you'll do - Build agentic apps, features, and workflows that make Perplexity a daily driver for users. - Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day. - Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar. - Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue. - Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else. Qualifications - 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end. - Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes. - Strong execution: you ship many products and experiments in parallel and drive each to a measurable result. - Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions. - An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end. - Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission. - Experience mentoring engineers and raising the technical bar of a team. - Genuine interest in and adoption of AI products and willingness to learn quickly. Nice to have - Domain expertise in verticals such as finance, healthcare, legal, or operations. - Experience building agentic product surfaces. - Time at a fast-growing startup or high-ownership engineering team.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 This role bridges infrastructure and product engineering: you'll build genuine partnerships across product, AI, and enterprise teams so that ownership is shared and velocity is never blocked by platform constraints. As a leader, you'll set a forward-looking cloud vision, proactively align with stakeholders across the business, and ensure the platform scales for multi-shard, multi-region growth while meeting security and compliance commitments (SOC 2, business continuity/disaster recovery, and enterprise security frameworks). You'll implement and drive the adoption of AI-powered tooling and autonomous agents within the infrastructure organization.   The Role: - Cost Efficiency: Deliver measurable annual infrastructure savings by executing the migration of data workloads to EKS and self-hosting key services. - Ingress Convergence: Deprecate legacy frontend ALBs and consolidate to a single EKS-managed ALB per shard, unblocking faster deployments across the org. - Coverage & Bench Depth: Eliminate single points of ownership across Networking, OpenSearch, and Terraform through cross-training and targeted hiring. - Stakeholder Alignment: Stand up a recurring alignment cadence with Product, AI, Enterprise, and Security so infra planning is driven by demand, not ad-hoc interrupts. - Automation: Ship automated shard buildout via Backstage to remove manual toil from enterprise scaling. - Reliability: Cut P0/P1 incidents attributed to Cloud Platform (DNS, ALB misconfiguration, EKS) through hardened ingress patterns and Terraform-policy guardrails. Own incident response and RCA follow-through for the team. - Roadmap Ownership: Own and deliver against the team's roadmap for Agent enablement, centralized IaC, and deployment rollout acceleration, and contribute to the broader Cloud Platform strategy tied to AI and Enterprise revenue goals. - Technical Leadership: Architect and contribute code to key initiatives (EKS migration, ALB consolidation, Backstage shard automation), and lead design reviews with senior engineers. - People Leadership: Lead, grow, and retain a senior-heavy team distributed across the US, Canada, and Europe, spanning FTEs and contractors, with a focus on career development, cross-training, and bench depth. - Vendor Management: Partner with Finance and leadership on AWS spend visibility and savings targets, manage contractor performance and budget, and keep a savings-pipeline mindset baked into planning.   Qualifications: - Experience: 9+ years in infrastructure/platform engineering, including 5+ years in engineering management leading distributed teams of senior engineers while remaining hands-on. - Deep AWS infrastructure mastery: EKS, networking (VPC/TGW/DNS), and Terraform at scale, with strong architectural judgment; able to review designs and guide senior engineers' technical decisions. - Hands-on technical leadership: Actively architects, writes code, and develops systems alongside the team. You are a working engineer as well as a manager. - Strategic roadmap ownership: Experience translating cloud priorities into 3–9 month team roadmaps tied to business outcomes across enterprise, AI, and cost, and delivering against them. - Cross-team influence: Builds genuine partnerships across Product, Security, SRE, and DB orgs, driving shared ownership across traditional infra/product boundaries. - Application-level curiosity: Genuinely understands what the product does, not just the infrastructure underneath, and extends ownership past traditional platform boundaries. - People leadership: Proven experience managing, growing, and retaining senior, geographically distributed teams across FTE/contractor blends; builds bench depth and contributes to succession planning. - Hiring: Experience running structured hiring loops and closing senior engineers, including into specialized gaps (networking, search, IaC). - Operational rigor: Strong on-call instincts, incident ownership, and RCA follow-through. - Security-first instincts: This team touches blast radius (auth enforcement, network isolation, shard boundaries). A verify-first, never-assume mindset is non-negotiable. - AI & automation mindset: Uses AI tools daily in your own engineering work, with demonstrated appetite for DevSecOps agents, AI-assisted IaC migrations, and skills-based automation — a core part of the near-term roadmap. - AI/ML infrastructure experience (strong plus): Scaling workloads like GPU orchestration, model-serving infrastructure, or cost-optimized compute for inference. - Education: BS/MS in CS, Engineering, or equivalent. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: Financial Incentives (FIN) is where Garner's promise becomes real for a member: the moment they are paid back for choosing better care. Behind that simple experience sits one of the hardest problems in the company. FIN ingests claims and eligibility feeds from third-party administrators, adjudicates them against benefit rules, accumulates member benefit, and moves real funds through payments and treasury. It does this under heavy and growing load, carrying PHI and PII, at the point where high-volume data from outside partners first enters Garner. When FIN is right, members are paid accurately and on time. When it is wrong, the failure is financial and visible. We are hiring a Director to lead FIN Engineering, accountable for the full function (ingestion, eligibility, adjudication, accumulation, and payments/treasury): its correctness, reliability, security, and the pace at which it improves. You will lead a large, multi-team function, own its multi-year roadmap, and contribute to company-wide planning. The role is hands-on-keys: you will stay close to the code, the designs, and the incidents to hold a real technical opinion, and set an engineering quality bar the rest of the department measures itself against. You will report to the CTO and lead a group of Engineering Managers and senior individual contributors across FIN's value streams. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the outcomes, ingestion through payment. Define what "correct" means for adjudication and money movement, and be accountable for adjudication accuracy, payment timeliness, ledger reconciliation, ingestion SLAs, and the roadmap that moves them. Set the bar and the pace. Establish the validation standards and definition of "done" the function ships against and hold the line under delivery pressure, running a performance culture on evidence: highest-value work first, manual toil automated away, engineers accountable for outcomes. Stay close to the work. Join the hard design reviews, read the code, dig into incidents, and hold defensible technical positions on adjudication logic, event contracts, data modeling, and money movement. Make agent-first the default. Make AI-native engineering how FIN works, not a side experiment: build the harnesses, validation frameworks, and Claude Skills that let squads ship faster and safer, and mature the org from assisted toward autonomous with real guardrails. Own the technical direction. Guide the backend toward event-contract boundaries that let teams ship independently and scale to tens of millions of claims, with the fault tolerance a pipeline that cannot drop or double-pay a claim demands, and own the security and data-integrity posture at the edge where partner data enters and funds leave: validate, quarantine, and reconcile rather than assume the inputs are clean. Build and grow the team. Hire, level, and develop Engineering Managers and senior ICs, own interviewer calibration, and design the org's structure and decision rights so ownership is clear. Translate across the business. Partner with the CTO, Product, Finance, Operations, and payment partners to turn business needs into technical plans and communicate risk and tradeoffs in terms leaders can act on. The ideal candidate has: 10+ years building and operating high-scale, high-reliability backend systems, ideally ones that process large data volumes and/or move money. 5+ years leading engineering teams, including managing managers, in a high-accountability, high-urgency environment. Technical credibility at scale: you can reason through a design doc, a schema, or an incident timeline and write the validation criteria that catch failure. An opinionated point of view on agent-first / AI-native engineering: not just that teams should use AI, but how to make it the default operating model and mature it safely from assisted toward autonomous. Experience with the demands of sensitive data (regulated PHI/PII/financial data, unvalidated third-party inputs, encryption, access, audit) and an instinct for reconciliation-first design. Fluency in distributed systems and modern cloud: event-driven architecture, idempotency, fault tolerance, backpressure, and data consistency under load, plus AWS and API design. An ownership mindset: you move problems to resolution without being asked and optimize relentlessly for member and business impact. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $395,000 - $414,000 inclusive of bonus. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .