Вакансии

Задачи: — развивать Instagram, Telegram и VK как единую систему; — разработать контент-стратегию MNE MANIK; — самостоятельно генерировать идеи, рубрики, сценарии Reels и продающие механики; — следить за трендами и быстро адаптировать их под beauty; — ставить чёткие ТЗ: что, как и в каком количестве необходимо снимать; — приезжать в студию в Москве на съёмки по согласованному графику; — монтировать или собирать короткий вертикальный контент; — адаптировать один сильный материал под разные площадки; — анализировать охваты, заявки, рост и понимать, какой контент реально приводит клиентов. Требования: — техническая грамотность и высокая скорость работы; — понимание современного контента и активное использование искусственного интеллекта; — уверенное пользование инструментами Claude, ChatGPT для идей, анализа, сценариев, контент-систем; — использование Midjourney, Flux и аналогичных для визуалов; — работа с Kling, Runway и другими AI-video инструментами; — владение CapCut, Canva и современными инструментами монтажа и дизайна; — опыт автоматизаций через Make, n8n, AI-агентов, контент-заводы и другие связки будет большим плюсом; — приветствуется опыт в beauty, косметологии, салонах, fashion, lifestyle, личных брендах. Условия: — работа в Москве; — основная часть работы удалённо с периодическими выездами на съёмки; — на первом этапе бюджет 20 000–25 000 ₽ в месяц при частичной занятости; — возможность увеличения объёма задач и оплаты при хорошем результате; — долгосрочное сотрудничество с возможностью выстраивания полноценного beauty-бренда. При отклике необходимо предоставить: — 3–5 лучших кейсов; — ссылки на аккаунты, которые реально вели; — примеры Reels / видео; — примеры контента, созданного с помощью AI; — перечень используемых ежедневно нейросетей и AI-инструментов; — информацию о проживании в Москве и возможности приезжать на съёмки; — объём работы, который готовы взять за указанный бюджет; — в двух-трёх предложениях — что бы первым делом изменили в соцсетях beauty-проекта, который сейчас открывает вторую точку.

Responsibilities: — Build SEO-friendly content pages for our websites; — Select and edit existing or create new visual assets using various AI tools (images, short videos); — Collaborate closely with cross-functional teams (including product, design, and sales) to align content with overall marketing goals and strategies. Requirements: — English language - C1; — Excellent written and verbal communication skills with attention to detail; — Ability to manage multiple projects and meet deadlines; — 1.5-2 years of experience in Digital Content Marketing; — Familiarity with content management systems (CMS), digital tools, and resources for content creation and marketing communication. Tools/Systems: — CMS systems, Jira, Salesforce (or another CRM), Canva, ChatGPT/Claude or similar. We offer: — Remote work; — Opportunity to build a stellar career in a fast-growing international travel company; — Opportunity to work with advanced top-of-the-line software for travel management; — Interesting, challenging tasks and a world-class team.

Location: US - Culver City, California, United States Scopely is seeking a Senior Finance Analyst to join the team behind MONOPOLY GO! This role will be located in Culver City, CA on a hybrid basis. In this role, you will own the game’s recurring operational finance activities while building the tools and automation that make our work faster, more accurate, and more scalable. MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. You will lead operating expense month-end close, accruals, headcount tracking, purchase orders, Workday approvals, and T&E visibility. This is a build-oriented role with a clear mandate to improve how the work gets done—not simply execute existing processes. We are looking for someone who can identify opportunities to apply AI and automation thoughtfully and effectively. Over time, this role will help advance an AI-native approach to FP&A, connecting close, planning, reporting, and approvals so routine work can run more efficiently and the team can focus on higher-value judgment. This is a greenfield opportunity with significant autonomy and a dedicated budget for tools and experimentation. You will also serve as the primary Finance business partner to our Engineering organization, acting as its main point of contact for spending, headcount, and planning. You will work closely with Finance Managers, the VP of Finance for MONOPOLY GO!, and cross-functional partners across the business, with strong senior-level support as you ramp into the role. Why this role stands out A build mandate. You own the FP&A automation stack — greenfield, with autonomy and a tool budget. A real part of the job is making the work better, not only keeping it running. Scale and visibility. MONOPOLY GO! is a large, fast-growing business. Your work informs game leadership directly, with regular exposure to the VP of Finance. Room to grow. A path into complex modeling, financial storytelling, and broader scope across Scopely's portfolio, with mentorship to get there. A strong team. You'll join a high-caliber group with backgrounds across high-growth tech, consulting, banking, and private equity. What you'll do The split is honest: expect the operational cadence to be a meaningful part of your week, and the build work to grow as you automate more of it. Run the OpEx close cadence. Month-end close, accruals, reclasses, and headcount reconciliation, plus high-volume PO/Workday approvals and T&E — accurately, on time, and independently before long. Build the automation. Replace manual reporting with automated workflows and dashboards, and apply AI where it genuinely helps across close, planning, reporting, and approvals. Partner with Engineering. Act as the finance business partner to the MONOPOLY GO! Engineering organization — helping them understand and plan their spend and headcount — and work with People & Talent, Business Operations, Customer Support, and QA to gather budget inputs and explain OpEx variances clearly. Think in systems. Connect steps across finance so the process gets simpler over time, with sensible checks where judgment matters. Keep the models trustworthy. Maintain revenue/cost and workforce-planning models so leadership sees current, reconciled, defensible numbers. What we're looking for An automation habit — you've automated manual reporting or finance processes, and you're interested in applying AI to real work. Experience with BigQuery, SQL, Python, or AI tools is a big plus Operational reliability — a track record of dependable, detail-accurate delivery on recurring, high-volume work Clear communication — you can explain numbers and variances to non-finance partners Located in, or willing to relocate to, the Los Angeles metro, working on-site/hybrid Ownership and integrity — you do well in a fast-paced, ambiguous environment, and are always looking for ways to add value Strong Excel and financial modeling — you build and maintain revenue/cost models and handle large datasets without hand-holding Hands-on FP&A foundation — you've done planning, forecasting, variance analysis, and a real close/reporting cadence, and can hit the ground running 2–5 years of finance/analytical experience, ideally in FP&A or finance at a brand-name technology or high-growth company How you work You form your own point of view and make the case for it — and you let it go gracefully when someone has the better argument. You lead with questions. You learn why something is the way it is before you start rewiring it. You get to great by iterating. You put a solid version out early, invite feedback, and keep sharpening it. When something falls between the cracks, you assume it's yours. You close the loop instead of flagging it and moving on. When you hit the same manual task twice, your instinct is to automate it — not grind through it a third time. Nice to have An undergraduate degree in engineering (computer, mechanical, electrical, industrial, aerospace, etc.) — a real plus for this role. Something you've built — an automation or tool you can walk us through. Experience with financial systems such as Oracle and Workday / Workday Adaptive Planning. Data platforms — Big Query, etc. A genuine interest in games, consumer products, or technology-driven businesses. Please ensure that the résumé/CV you attach is written in English. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $113,000 — $168,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. WHAT YOU'LL DO - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off WHAT YOU'LL NEED - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company EVEN BETTER IF YOU HAVE - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Spain; Portugal; Hungary; Czechia; Romania; Poland TheSoul Group is a leading creator business platform positioned at the heart of the creator economy. Our original videos, animations, and editorial stories inspire audiences in 21 languages , across 60 platforms and 20 websites . Together with our network of talented creators, we reach over 5 billion followers and generate more than 100 billion monthly views on social media. As a global powerhouse in digital media, we drive viral success for creators and brands worldwide through a wide range of services, leveraging our expertise in content production, distribution, localization, and social media management. We’re the creators behind global phenomena such as 5-Minute Crafts and Bright Side . We’re a dynamic, remote-first global team, fostering award-winning creativity, a no-red-tape approach, and great vibes! We are looking to connect with experienced Creative Producers to lead creative content production for external clients and brands. In these projects, you may manage the creative production process from brief to delivery, working directly with clients to understand their objectives, brand guidelines, and audience needs and translating them into effective social media content. You will collaborate closely with creative and production teams, oversee the quality and consistency of deliverables, and help ensure that projects meet both client expectations and creative standards across a variety of formats and social platforms. Responsibilities: Depending on the scope and requirements of individual projects, responsibilities may include: Manage end-to-end production of video, static, and other social media content for external clients. Work directly with clients to understand their business objectives, creative needs, brand positioning, guidelines, and expectations. Translate client requirements into clear creative briefs and production plans. Guide designers, video editors, creators, and other production team members throughout the creative process. Develop and refine creative concepts that support clients’ brands and social media objectives. Oversee quality control across creative deliverables, ensuring that visuals, videos, and copy meet both client requirements and internal creative standards. Manage production timelines, priorities, workloads, and resource allocation across projects. Maintain consistent quality while supporting a high volume of creative output. Present creative solutions, communicate project updates, and incorporate client feedback throughout the production process. Supervise and support creative teams, helping them deliver against project requirements and creative expectations. Support the hiring, onboarding, and mentoring of production and creative team members when required. Collaborate with internal and external stakeholders to ensure successful project delivery. Track production budgets, estimate costs, and support efficient use of project resources. Identify opportunities to improve production workflows, creative processes, and overall team efficiency. Requirements Strong Requirements: 2+ years of experience in creative production for external clients as a Producer. Experience working with major international brands is a strong advantage. Hands-on video production experience , with a background in filming, editing, motion design, design, or another relevant production discipline. 2+ years of experience leading creative teams , with a track record of scaling creative output and improving creative performance. Requirements: Strong understanding of the end-to-end creative production process, from client brief and concept development through production and final delivery. Experience translating client objectives, brand guidelines, and feedback into clear creative direction and actionable briefs. Strong understanding of social media content and the ability to adapt creative approaches to different platforms, audiences, and formats. Experience managing multiple creative deliverables, timelines, and priorities in a fast-paced production environment. Strong communication and stakeholder-management skills, including confidence working directly with clients. Strong creative judgment and attention to quality and detail. Experience producing content for international brands or multi-market audiences is highly desirable. Benefits Flexible, Project-Based Engagement: This is a talent-pool opportunity for potential future projects rather than a full-time position. Engagements will be offered under an independent service-provider agreement based on project needs and your relevant experience. You define your own working methods, organise your schedule independently, and contribute your expertise to clearly scoped projects. Compensation will be agreed individually based on the scope of each engagement, your experience, capabilities, and the value you bring. Location Freedom: You can deliver services from any suitable location that supports high-quality outcomes, whether that’s your home office, a co-working space, or wherever you feel most productive and inspired. What matters most is the impact you create and the reliability of your delivery. Global Network and Inspiring Projects: You’ll have the opportunity to collaborate with a diverse international network of professionals across 85+ countries on projects reaching audiences around the world. Smooth Collaboration and Project Support: We provide modern collaboration platforms, clear project coordination, and streamlined processes so you can focus on producing high-impact work and bringing creative solutions to life. Make a Global Impact: Your expertise may contribute to initiatives that influence audiences worldwide and help build the next generation of digital experiences. We appreciate your interest in our job opportunities and our company. Our team carefully evaluates each application to identify the most suitable candidates for the role. Due to the high volume of applications received, we may not be able to respond to every applicant. However, if your qualifications align with our requirements, we will contact you to discuss the next steps in the selection process.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Senior Computer Vision Engineer to join our Embodied AI team, focused on 3D scene understanding and semantics. A reconstructed environment is only useful to a robot once it knows what is in it: which surfaces are floor, which objects can be grasped, moved, or opened, where one room ends and another begins. You'll work hand in hand with our Research Scientists to take advances in open-vocabulary perception, 3D semantic labeling, and scene graph construction and turn them into reliable capabilities that embodied AI teams can use in production. This is an applied research role. You'll live at the boundary between a research prototype and a production pipeline: adapting methods so they hold up on messy customer captures, lifting 2D semantic signals into geometrically consistent 3D, defining what "semantically correct" means for a downstream policy, and feeding what you learn back into the research agenda. You understand that the difficult part is often not the core method, but the messy inputs, edge cases, operational constraints, and downstream requirements surrounding it. You care about quality, cost, latency, and reliability, and you know that a system is only successful when people can depend on it. This is a hands-on engineering role for someone who wants to build, ship, and own outcomes. You'll help shape both the technology and the product, while remaining close to the code and the problems our customers are trying to solve. What You'll Do - Productionize 3D Scene Understanding Capabilities - Turn research prototypes in open-vocabulary segmentation, 3D semantic and instance labeling, affordance prediction, and scene graph construction into reliable pipeline components and services that operate across varied customer data and environments. - Own End-to-End Output Quality - Ensure that reconstructed environments carry labels, instances, and relationships that are consistent, complete, and correct enough for downstream simulation and policy learning, and define what "correct enough" means for each customer workflow. - Bridge Research and Production - Work day to day with the Embodied AI Research Scientist: pressure-test new methods on real customer data, identify where they break, and bring production and customer constraints back into research planning to prioritize the advances that matter most. - Make Systems Robust to the Real World - Diagnose failures caused by capture quality, scene complexity, scale, calibration, coordinate conventions, and other assumptions that prototypes often leave implicit. - Build Evaluation and Quality Infrastructure - Create datasets, regression tests, quality gates, and benchmarking tools that help the team measure whether changes improve the system. - Improve Performance, Throughput, and Cost - Profile and optimize GPU and distributed workloads, reduce unnecessary reruns, and help establish the economics of running reconstruction at scale. - Work Across the Product Boundary - Partner with Embodied AI product and engineering teams to understand customer requirements and deliver capabilities that fit real training, evaluation, and deployment workflows. Help evolve the representations, tooling, and operational systems that allow reconstructed environments to move reliably into customer applications. What You'll Bring - 5+ years of computer vision experience and a bachelor's degree or equivalent, - Significant experience building and operating production computer-vision, machine-learning, graphics, or data-processing systems. - Deep hands-on experience with scene understanding: semantic, instance, or panoptic segmentation; open-vocabulary detection and segmentation; or vision-language models applied to perception. - Experience taking 2D perception into 3D, such as multi-view label fusion, 3D semantic segmentation, instance tracking across views, or scene graph construction over reconstructed geometry. - Experience delivering reliable computer-vision or 3D systems used by other teams or customers, including the evaluation that proved they worked.. - Practical command of 3D and spatial data, including geometry, camera models, coordinate frames, calibration, and metric scale. - Strong Python and PyTorch skills, with the ability to work in C++ or other performance-oriented environments when needed. - Experience with cloud infrastructure, GPU workloads, distributed processing, or large-scale data pipelines. Nice to Have - Hands-on experience with 3D reconstruction, photogrammetry, structure from motion, Gaussian splatting, neural rendering, or meshing. - Experience with SLAM, visual positioning, localization, or large-scale mapping systems. - Experience with robotics, simulation, or embodied AI applications, in particular how semantic labels are consumed by a policy or a simulator. - Built evaluation or benchmarking infrastructure for perception or reconstruction systems. - Experience optimizing large-scale GPU inference workloads for cost, throughput, or latency. - A publication record or contributions to widely used open-source perception codebases. - Advanced degree in computer vision, robotics, machine learning, or a related field. Competencies - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here Syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling. - Strong systems instincts. You understand that production quality includes reliability, observability, cost, latency, maintainability, and usability—not just algorithmic accuracy. - Comfort with ambiguity. You can make progress when the problem, data, and requirements are still evolving. Compensation & Benefits Base salary range of $229,500 to $255,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Developer Advocate at GitLab, you'll help technical audiences understand and use our intelligent orchestration platform where teams and their AI agents ship secure software faster. You'll go deep on the product, especially GitLab Duo Agent Platform and our newer capabilities, and continuously discover real-world workflows that teams care about. You'll turn that hands-on knowledge into demos, blog posts, videos, and presentations, and bring what you learn from customers and the developer community back to GitLab. This role focuses on showing the product in action and building relationships with customers and the community. You'll help cover events and work across U.S. and Canadian time zones. What you'll do Deeply understand GitLab's platform, especially our AI agent capabilities, and continuously find productive, real-world use cases worth showing. Create product content, including videos, blog posts, presentations, and social clips that show key use cases for GitLab in the user interface and terminal. Produce video content end to end: script, record, and edit product walkthroughs and demos, and collaborate with GitLab's video team on longer or higher-production pieces. Deliver product demos and participate in analyst briefings. Engage with customers through webinars, customer meetings, and other conversations. Participate in the developer community by engaging on the GitLab forum and Discord, following the conversations happening on social platforms, in newsletters, and at events, and making sure GitLab has a voice in the ones that matter. Answer technical questions that come through the sales team, and partner with support, sales, and product on developer-facing educational content. Use hands-on product experience to share feedback with product teams and test new features. Contribute to technical research and analysis of the developer tools landscape. Travel requirement up to 20% for events and customer meetings. What you'll bring Hands-on technical experience. You understand how software gets built, with a focus on everything that happens after code is written, and can talk about it credibly with engineers. Understanding of artificial intelligence and its use in software development, from coding all the way to production. You have built and operated agentic systems and infrastructure. The ability to explain technical products clearly. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced. Fluency in developer social platforms. You know what's interesting to the people we're trying to reach and can participate in the conversation with credibility. Curiosity and self-direction. You're already finding the next thing worth talking about, following the right people, and noticing opportunities. Experience engaging with customers, developers, or technical communities. Ability to work independently and collaborate across sales, engineering, product, and other teams. About the team The Developer Advocacy team creates content that shows GitLab in use, engages with customers and the developer community, and brings hands-on product feedback to GitLab teams. The team also contributes technical research and analysis, while partnering with other groups to share its findings. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $194,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for Data Engineering interns who are excited to help scale the systems and pipelines that power decision-making at Figma. As an intern on our data team, you will partner with engineers and analysts to design and build reliable datasets, ensure data quality, and make Figma's data more accessible across the company. This internship will be based out of our San Francisco or New York Hub. What you'll do at Figma: Build, test, and document data pipelines that bring product or business data into Figma’s data warehouse Help design foundational datasets that are trusted, well-documented, and easy to use Optimize pipelines for performance and scalability as Figma grows Partner with cross-functional teammates to understand data needs and deliver solutions Contribute to the tools and practices that make working with data at Figma easier With support from a manager and mentor, you’ll own a scoped project from problem definition through implementation, testing, documentation, and sharing the results. Some projects you could work on: Develop new ETL jobs to integrate product or business data into our warehouse Improve the performance and reliability of core pipelines Build reusable datasets that support experimentation, product and business analytics, or cross-functional stakeholders Document and simplify complex data workflows for broader use We'd love to hear from you if you have: Experience coding in Python or a similar language and writing SQL queries Experience building or working with data pipelines, ETL, or large datasets Curiosity about how data systems work and interest in making them more scalable and reliable Strong communication and collaboration skills Excitement to learn, get feedback, and grow as a data engineer At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $46 — $46 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Workplace: fully Role Overview The Senior Product Designer is a hands on IC who’ll set the craft bar for our new flagship mobile money app, Ethena Pay. Ethena Pay is live on iOS with Android on the way. The app still needs more features and moments of delight that make the best apps a joy to use. Your core job is closing that gap. You'll hold Ethena Pay to the standard of the best-designed consumer products, in money and beyond. You'll own a share of the product end to end, the design system and the brand outright. About 80% of your time goes to product design and the system. The other 20% goes to complementing marketing design, so the quality people see in the app also shows up where we meet them, in launch content, X and on the store pages. You'll report to the Head of Product and work as a peer to our existing Product Designer. Role Responsibilities Review the whole app and design system on iOS and Android. Turn what you find into a ranked plan for what to keep, fix or rebuild. Set and ship a new design standard with engineering: a component library, a motion and interaction language (timing, springs, haptics, transitions) and rules for layout, type and states. Build it into the system so every screen gets it by default. Design every state, not just the happy path: loading, pending, failed, limit reached, offline and "we don't know yet". Own the display rules for money so balances, rounding and pending vs settled amounts are always clear. Create the voice of the app. Terminology, error copy that says what happened and what to do next. Own the brand: write guidelines GTM can use without a designer, build partner co-branding and card artwork, and turn the app's best moments into X content, launch videos and store pages. Bring Android up to the same bar. Put both apps on the same components, tokens, motion and states, and decide where Material applies and where the brand wins. Raise the team's craft through critique and pairing, run lightweight research yourself, and help build the design practice as the team grows. Required Skills and Experience A track record and portfolio of world-class mobile app design: Not “I can do it”, but “I have done it and know how to do it better”! Several years designing shipped native apps whose design is a reason people use them. Motion and interaction design at a high level: transitions, springs, gestures, haptics and micro-interactions, shown as prototypes or recordings and specified precisely enough for engineers to build to the frame. Senior product design experience on a live neobank, payments, card or crypto money app where design is a competitive advantage (e.g. Revolut, Monzo, Wise, Nubank, Cash App, Plasma One), or other consumer mobile apps that stand out for their design (e.g. AirBnB). A portfolio that shows states, not just hero screens, plus an honest account of what shipped compared with what was designed. Evidence that you've raised a team's craft, not only your own: designers you critiqued or engineers you paired with got visibly better. Great if you've reviewed and rebuilt an existing app and its design system Real brand and marketing work you made yourself, such as an identity or a significant extension of one, card artwork, or launch and social content built from the product. Motion work for marketing content will set you apart. Agent-native design: you use AI tools (Figma MCP, Claude Code or equivalent) to speed up your work while holding the craft bar, and you know where they fail.

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $163,920 — $196,712 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Ontario, Canada From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $139,869 — $167,849.50 CAD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: London Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. Niantic Spatial's R&D Team in London is seeking a Research Scientist to push the frontiers of Spatial AI, advancing our Large Geospatial Model as a dedicated member of the Embodied AI group. You will invent and develop algorithms and systems that sit at the cross-section of computer vision, machine learning, AI, graphics, and robotics. We're passionate about discovery, so we're looking for scientists who want to learn, publish, teach, and deploy every new invention. What You'll Do - Develop New Spatial Representations - Develop new spatial representations that embodied AI can learn from, train in, and act on. - Advance Real-to-Sim Pipelines - Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning. - Solve Emerging Spatial Problems - Solve emerging problems that relate to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems. - Take Capabilities Through to Evidence - Take new capabilities through to evidence: what changed for the policy, not only what changed in the reconstruction. - Build Prototypes - Build proof of concept prototypes, initially for internal use, where some will need to run at production scale on customer data. - Collaborate Across Research and Product - Collaborate closely with researchers, engineers, and product partners to bring novel models to production. - Publish Your Work - Publish and present your work. What You'll Bring - A PhD in computer vision, robotics, graphics, machine learning, or a related field, or equivalent research experience, with a publication record at top venues. - Substantial expertise in robotics or embodied AI, including experience in sim-to-real transfer, domain randomization, policy evaluation, and simulation-based learning. - Deep experience with 3D scene representations: Gaussian splatting, neural fields, meshes, point clouds, or implicit representations. - You have applied generative or diffusion models to 3D data, such as scene completion, inpainting, relighting, or novel view synthesis from sparse capture. - You have worked on 3D semantics, open-vocabulary scene understanding, or scene graphs. - Proficiency in Python and Deep Learning libraries such as PyTorch. - GPU or graphics programming experience, such as custom CUDA kernels, shaders, or differentiable rendering. - A track record of contributing to widely used open-source research codebases. Nice to Have - Proficiency in C++. Compensation & Benefits Base salary range of £103,500 to £202,500. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. Location & Work Model This role is based in our London office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Palo Alto; San Francisco 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 Job As a member of the Partner Solution Architecture Team, you will work closely with our Partner and GTM teams to drive the adoption of our state-of-the-art enterprise AI platform and models.   What you will do   - Help onboard Mistral solutions and models to strategic ISV and Tech partner platforms - Execute on effective technical discovery with partners to understand potential clients' needs, challenges, and desired outcomes in collaboration with GTM - Drive enablement at scale across strategic partner technical and sales teams - Create and update assets for partner enablement: technical demos, enablement videos, reference architectures, etc. - Support partners in identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer - Represent Mistral AI at partner, customer, and industry events, including executive briefings, conferences, and developer gatherings - Collaborate with Mistral teams, from Science, Product, Engineering, Support, and GTM to progress and support deals, as well as providing expertise and insights where necessary   What we look for - Experience in a technical partner presales, solutions architect, or consulting role with heavy partner and customer-facing exposure. - A track record of building enablement assets and driving evangelism at scale across partner organizations - Experience partnering with ISVs or Technology Partners, driving technical account strategy, proof-of-concept scoping and support, and execution - Strong Python or TypeScript skills - Working knowledge of cloud architecture and deployment patterns for AI and ML solutions - Strong stakeholder management, including comfort with C level conversations, and outstanding presentation skills across technical and business audiences - Bachelor's or Master's in computer science, engineering, mathematics, or related field, or equivalent experience Nice to have - Familiarity with MEDDPICC and Command of the Message. - Working knowledge of Generative AI serving architectures, e.g. vLLM - Working knowledge of Kubernetes 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: London Workplace: Hybrid Employment type: Fixed-term contract ABOUT OPENAI OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence (AGI) benefits all of humanity. We push the boundaries of AI capabilities while prioritising safety, responsible use, and human needs. Our mission requires a team that represents a diversity of perspectives, voices, and experiences. ABOUT THE TEAM Like every team at OpenAI, the Marketing team contributes directly to our mission of responsible and widespread AI adoption. The EMEA B2B Marketing team translates global priorities into regionally relevant programmes that drive awareness, consideration, pipeline, adoption, and long-term customer trust. We partner closely with Sales and GTM, Product Marketing, Developer Marketing and Relations, Field and Executive Marketing, Content, Customer Marketing, Partner Marketing, Comms, Creative, Media, Marketing Operations, and regional leadership. ABOUT THE ROLE We are hiring an FTC B2B Influencer Marketing Lead, EMEA to build and scale OpenAI’s influencer marketing capability across knowledge workers (KW), business decision-makers (BDMs), and developer audiences. You will own the strategy and hands-on delivery across multiple European markets (working closely with in-market comms & marketing team), with the UK, France, and Germany as the first priorities. You will develop local creator networks, translate regional and global priorities into market-relevant programmes, and build a portfolio that balances sustained creator relationships with high-impact moments around products, campaigns, and events. This is a zero-to-one builder role as much as an ecosystem and operating-model role. You will create the capability from the ground up: building on the early foundations we have in place, you will be responsible for defining the strategy, securing internal alignment, building the creator and agency network, establishing the operating model, and proving what works before scaling it. You will work with existing agencies, identify and onboard new specialist partners where we have capability or market gaps, partner with PHD to amplify the strongest influencer content, and create the goals, processes, reporting, and success measures needed to run the programme with speed, quality, and accountability. You will partner closely with the B2C influencer lead to define and evolve the measurement framework. IN THIS ROLE, YOU WILL - Own the EMEA B2B influencer marketing strategy across KW, BDM, and developer audiences, setting clear audience, market, channel, investment, and outcome priorities. - Build a credible bench of developer creators, technical educators, open-source voices, AI builders, and community leaders across Europe, and design programmes that genuinely help developers learn, evaluate, and build. - Develop differentiated creator plans for the UK, France, and Germany, balancing regional consistency with local language, culture, platform behaviour, regulation, and audience expectations. - Source, evaluate, and build durable relationships with creators who have genuine authority with our priority audiences. Own outreach, briefing, negotiation, contracting, content development, activation, and relationship management. - Design curated creator programmes and high-value experiences that deepen relationships over time—such as briefings, product access, learning sessions, roundtables, community moments, and co-created formats—turning the strongest creators into long-term strategic partners rather than one-off campaign participants. - Build an always-on creator portfolio alongside launch, event, and campaign activations, choosing the right mix of tutorials, product demonstrations, thought leadership, executive content, social posts, newsletters, podcasts, video, and community formats. - Work with existing influencer and marketing agencies to raise the quality and pace of delivery. Identify capability gaps and lead the selection, onboarding, and management of new specialist agencies, including developer-native and market-specific partners. - Partner closely with our media agency to build paid amplification strategies for high-performing creator content, including audience targeting, usage rights, creator whitelisting where appropriate, testing, optimisation, and clear organic-versus-paid performance readouts. - Partner with our Performance Marketing and Growth teams to develop bespoke influencer content that drives measurable performance and business growth. - Operationalise the end-to-end influencer process across intake, creator discovery, due diligence, brand-safety review, scopes of work, contracting, approvals, disclosure and compliance, content calendars, asset management, localisation, paid rights, and post-campaign learning. - Set programme and campaign goals upfront. Build a measurement framework that connects creator activity to meaningful audience and business outcomes rather than relying on vanity metrics. - Define and report a balanced scorecard by audience and objective, including qualified reach, audience relevance, engagement quality, content completion and saves, traffic, product education, developer activation, adoption signals, and pipeline influence where measurement is appropriate. - Establish regular reporting and performance reviews with clear recommendations on which creators, formats, platforms, markets, and investments to scale, improve, or stop. - Manage budgets, agency scopes, creator fees, usage rights, and production investment, making disciplined trade-offs and improving efficiency over time. - Partner with Product Marketing, Developer Marketing and Relations, Comms, Creative, Legal, Privacy, Brand, Media, regional marketers, and GTM teams to ensure content is technically accurate, locally relevant, compliant, and useful to the audience. - Bring creator and community insight back into OpenAI, helping teams understand emerging voices, platform shifts, audience questions, content opportunities, and risks across the European influencer ecosystem. WHAT SUCCESS LOOKS LIKE - OpenAI has a strong, trusted network of B2B and developer creators across Europe, with meaningful depth in the UK, France, and Germany. - Priority creators progress from individual activations into sustained, mutually valuable partnerships, supported by curated programmes and experiences that increase trust, product understanding, and advocacy over time. - Developer influencer marketing becomes a repeatable growth and education channel, supported by a healthy pipeline of credible creators and technically valuable content. - Teams and agencies use a clear, efficient operating model with defined ownership, faster approvals, strong compliance, reusable tools, and fewer one-off processes. - Organic creator programmes and PHD-led paid amplification work as one system, with transparent performance, learning, and investment decisions. - Leadership has a reliable view of goals, spend, creator health, market coverage, results, and the programme’s contribution to audience and business outcomes. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have 8+ years of experience in influencer marketing, creator partnerships, B2B content, developer marketing, or an adjacent discipline, including substantial ownership of influencer programmes. - Are deeply plugged into the European creator economy and bring an existing network of relevant creators, agents, managers, platforms, and specialist agencies—particularly in technology, AI, SaaS, developer tools, or adjacent categories. - Have a proven track record of building influencer programmes for developer or highly technical audiences. You understand the difference between broad technology reach and genuine developer credibility. - Have taken an influencer or creator programme from zero to one, moving from an ambiguous brief to a working strategy, partner ecosystem, operating model, measurement framework, and repeatable programme. - Have built curated creator programmes and experiences that develop long-term strategic partnerships, with evidence that sustained relationship-building improved content quality, creator loyalty, audience trust, or business impact. - Can also develop effective creator strategies for knowledge workers and business decision-makers, matching the creator, message, format, and platform to the audience and commercial objective. - Have operated across multiple European markets and understand how to adapt strategy and execution for the UK, France, and Germany. Fluent English is required; French and/or German is a strong advantage. - Have directly managed agencies and creator partners, including selection, onboarding, briefing, negotiation, contracting, production, usage rights, paid amplification, and performance management. - Understand the mechanics and economics of organic and paid creator distribution, and can partner effectively with a media agency to turn strong content into scaled, measurable campaigns. - Are analytically strong and comfortable setting goals, designing measurement approaches, reading performance data, and making clear recommendations when attribution is imperfect. - Combine strong editorial and technical judgement with operational rigour. You can protect creator authenticity while maintaining accuracy, brand safety, compliance, and message integrity. - Are both strategic and hands-on: comfortable setting the direction, building the system, finding the creator, improving the brief, resolving an approval issue, and getting the programme live. - Build trust quickly across creators, agencies, marketers, technical teams, and senior stakeholders, and communicate clearly when priorities, evidence, or trade-offs are contested. - Are energised by AI and motivated to help developers, businesses, and knowledge workers across Europe understand and adopt transformative technology responsibly. WORKPLACE & LOCATION This fixed-term role is based in London with three days per week in the office. Regular travel across Europe, particularly to France and Germany, will be required.

Location: Almaty, Kazakhstan Workplace: OnSite SEO Specialist Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history: $1B in annualized revenue, 3x growth in the last four months, and a recent $500M funding round at a $5B valuation. We're building AI-powered video, image, and interactive content creation across 200+ frontier models, and organic search is one of our fastest-growing channels. Who we are looking for You don't need years of experience. We're looking for someone early in their career who: - Understands the basics of SEO: keywords, on-page optimization, indexation, backlinks. - Takes initiative, moves fast, and doesn't wait to be told what to do. - Likes working with data and can turn numbers into simple, clear conclusions. - Learns new tools quickly and is curious about AI. - Writes in clear English. What you will work on - Research keywords and find new topics where Higgsfield can win traffic. - Help launch and optimize landing pages and blog posts: briefs, meta tags, internal linking. - Track rankings and traffic and spot what's working and what's not. - Find opportunities for backlinks and mentions on other sites. - Run small experiments, measure results, and scale what works. Nice to have - Hands-on experience with Google Search Console, Ahrefs, or Semrush. - Your own site, blog, or project where you grew traffic. - Interest in how AI assistants like ChatGPT and Perplexity pick sources. The deal - Competitive salary in USD, reviewed as you grow - On-site role in our Almaty office - Access to Higgsfield products and the AI tools we use internally - Breakfast, lunch and good coffee on us - Full-time position with high ownership and growth potential

Location: Remote Workplace: remote The Technical Support Advocate is responsible for multiple areas of the member experience. We support our members that are having product technical issues in every way possible, as well as work with our staff of physicians to ensure they have the necessary support to deliver stellar care. In this fast-paced role, your primary responsibilities will be assisting Included Health members with: mobile and web app issues, login/eligibility issues, and assisting engineers with escalations and outages. We  are looking for a highly skilled tech-savvy call center representative to join our team, managing a large volume of inbound and outbound calls and live chats. Responsibilities: Responsible for answering members' calls, emails, and live chats regarding Technical Issues, Support, and other issues related to product. Build positive relationships by going above and beyond with customer service, ensuring that all questions and issues are handled appropriately. Meet daily qualitative and quantitative targets for yourself and your team, and achieve all objectives for service, productivity, and quality Identify and escalate priority issues that need immediate attention via established workflows Provide support to our Expert users on our proprietary application Track issues through a ticket queue and ensure prompt resolution Responsible for meeting established performance metrics Other duties as assigned Required Qualifications: High school diploma or equivalent 1-3 years of relevant experience in a customer focused position involving technical knowledge of a company' s products and services Prior experience in tech support, desktop support, or a similar role. Good written and verbal communication and ability to type 50+ WPM Proficiency with Mac OS, and Windows Understanding and familiarity with cloud based platforms: Google GSuite, Box, Jira, Salesforce, AWS, Atlassian tools Strong prioritization skills to ensure the highest levels of support to the business and each user Effective communication skills with the ability to translate technical terminology to simple terms Ability to think critically and conduct root-cause analysis Experience working in a fast-paced, ambiguous, and technical environment Must be able to conduct video meetings Terrific deskside manner; and an ability to support users Extensive experience working with different operating systems including Windows and Mac OS Understanding and familiarity with cloud based platforms: Google GSuite, Box, Jira, Salesforce, and AWS. Physical/Cognitive Requirements: No heavy lifting is expected, though occasional exertion of about 20 lbs. of force (e.g., picking up and computer / laptops) may be required. Good manual dexterity required to use common office equipment (e.g., computers, laptop, and mobile devices). About Included Health Included Health is a new kind of healthcare company, delivering integrated virtual care and navigation. We’re on a mission to raise the standard of healthcare for everyone. We break down barriers to provide high-quality care for every person in every community — no matter where they are in their health journey or what type of care they need, from acute to chronic, behavioral to physical. We offer our members care guidance, advocacy, and access to personalized virtual and in-person care for everyday and urgent care, primary care, behavioral health, and specialty care. It’s all included. Learn more at includedhealth.com. ----- Included Health is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Included Health considers all qualified applicants with arrest or conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, and California law.