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Location: Remote; Seattle, WA; New York, NY; San Francisco, CA 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 across the US — we also have offices in NYC, San Francisco, and Seattle Runway is growing fast, and so is the surface area of what users need to learn. We're looking for an Education Content Specialist to keep our Help Center accurate, our Academy content well-produced, and our users set up for success from day one. You'll sit within the Experience & Enterprise Enablement team, working closely with the Education & Enablement lead to execute against a content roadmap that spans written documentation, video scripts, and self-service resources. Every feature launch will have your fingerprints on it. You're the person who makes sure users don't have to guess. WHAT YOU’LL DO - Write, update, and maintain Help Center articles across product features, billing, policies, and troubleshooting — keeping documentation accurate as the product moves fast - Coordinate with engineering and product at launch time to ensure articles are live before features ship - Audit existing Help Center content for accuracy and discoverability; surface recommendations based on support ticket trends and user feedback - Create and maintain self-service content — FAQs, quick-start guides, troubleshooting flows — that reduces ticket volume and helps users help themselves - Draft scripts for Runway Academy video tutorials, walkthroughs, and course modules - Support production of Academy content: create supporting assets, prepare materials for recording, and help get finished content published and organized - Build and maintain a library of templates, prompt guides, and project starters across Runway's tools - Support production and publishing of office hours, webinars, and live Q&A sessions - Keep Help Center documentation and Academy content consistent and cross-referenced - Track the performance of content you've produced — article engagement, search deflection, CSAT — and flag gaps to the Education & Enablement lead - Work with legal to ensure usage policies and terms are accurately reflected in customer-facing content WHAT YOU’LL NEED - 2-3 years of experience in technical writing, documentation, education content, or a similar role at a software or SaaS company - Ability to translate complex product features into clear, user-friendly language — across articles, scripts, and guides - Experience shipping documentation on tight timelines with cross-functional dependencies - Comfort with help center platforms (Zendesk, Intercom, or similar) and content management systems - Familiarity with video content production and an instinct for how to structure and pace educational content - Strong editorial judgment — you catch inconsistencies before they go live - Organized and autonomous working style; you can manage a documentation backlog while staying responsive to urgent launch needs - A bias toward action and a belief that no task is too small - Familiarity building with LLMs to streamline and automate processes NICE TO HAVE - Experience with AI or creative tools — with genuine curiosity about how they work - Background in or passion for the creative space — video, design, animation, or related fields - Experience using support data (ticket volume, search queries, CSAT, completion rates) to prioritize content work 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: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity OKX Data Team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services.  As a Product Manager of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. What You’ll Be Doing Deeply understand business goals and pain points : Work closely with business teams to understand their day-to-day data needs, identify core metric frameworks and key insight opportunities, and proactively propose data-driven solutions. End-to-end data solution design : Translate business requirements into data requirements, owning the full lifecycle from event tracking design, data modeling, and metric definition to dashboard design, launch, and acceptance. Build and standardize business metric systems : Lead the definition of core metrics, unify calculation logic, and design and implement dashboards to ensure standardized analysis and end-to-end business traceability. Drive data product adoption : Partner with business teams to promote data tools within departments and establish standard operating procedures (SOPs). Data governance and quality assurance : Continuously monitor the stability of event tracking and metrics, ensure data consistency, and help drive standardized data governance processes. What We Look For In You 7+ years of experience in data product management or related roles; experience at leading internet/technology companies is a plus. Strong familiarity with data ecosystems , including event tracking systems, A/B testing frameworks, metric systems, and BI data pipelines, with hands-on design or management experience. Ability to quickly understand complex business logic and break down ambiguous requirements into actionable, executable solutions. Excellent cross-functional communication and execution skills , with strong ownership and project leadership mindset. English and Mandarin Chinese proficiency sufficient for use as a working language as the role involves liaising with various stakeholders in chinese-speaking markets. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Australia What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Senior Manager, Detection Engineering & Threat Hunting Location: Remote Australia Compensation Range: $150,000 to $170,000 AUD base plus bonus and equity What You’ll Do: Members of the Huntress DE&TH team wake up every morning with the honor of impeding threat actors through a combination of detection engineering and threat hunting. This team sits alongside our 24x7 Security Operations Center, and our Adversary Tactics & Tactical Response function, and plays a pivotal role in detecting threats actors before they get a chance to impact our partner environments. As a Senior Detection Engineering and Threat Hunting (DE&TH) Analyst you should be drawn to the hard problems: detecting stealthy intrusions, managing false positives and false negatives at scale, and uncovering clues that may expose an evolving campaign across Huntress partners. In this role you will turn threat intelligence, or a hypothesis, into detections that help the SOC find real intrusions faster. While the SOC is responding to alerts within minutes, this team is developing detections and reviewing more ambiguous signs of attacker activity on a daily & weekly basis. On the Detection Engineering side of the role, you will play a part in designing, building, and maintaining a resilient, scalable, and high-fidelity detection portfolio that enables the SOC to rapidly identify and respond to adversary activity. This will involve working with engineering and other adjacent teams to achieve a shared goal across multiple domains which includes identities and endpoints. On the Threat Hunting side of the role, you will get to research new attacker tradecraft, test new theories, and review hunting data at scale for millions of endpoints to proactively hunt for, and disrupt, stealthy threat actor techniques that evade initial defenses. If you love Detection Engineering and Threat Hunting at scale, whilst in the environment and energy of a SOC, this is the role for you! Responsibilities: Contribute to all parts of the detection lifecycle by creating new rules, testing them before deployment, monitoring efficacy, and tuning, promoting, or retiring rules based on their performance. Develop rules across a variety of Huntress products and operating systems such as: Identity Threat Detection and Response (ITDR), Security Information and Event Management (SIEM), Endpoint Detection and Response (EDR), Windows, Linux, and MacOS. Manage any DE&TH requests raised internally or escalated from our partners. Undertake hypothesis-driven hunts across Huntress telemetry, prioritising techniques and tradecraft that may evade high-fidelity detections and initial SOC review. Consume threat intelligence and translate IOCs, TTPs, and internal findings into new or refined detections through Git-based workflows. Build and refine hunting dashboards or queries required to surface potential intrusions. Review ambiguous signs of attacker activity across Huntress products, and surface likely intrusions that require deeper investigation. Investigate or escalate likely intrusions identified to ensure partners receive clear incident reports with accurate advice. Contribute findings to community-driven projects and create Huntress content such as blogs, social posts, videos, podcasts, and webinars. Use AI-assisted workflows to prototype queries, enrich analysis, and develop a scaffolding for detection rules, ensuring you apply sound judgment to validate the AI output. We expect everyone at Huntress to be able to use AI as a real part of how they work, not occasionally, but genuinely embedded in core workflows. What You Bring To The Team: 2+ years of experience in detection engineering, threat hunting, SOC, MDR, or incident response. Intermediate knowledge of Windows internals. Working knowledge of Linux, macOS, Microsoft 365, Azure, and Google Workspace. Experience developing, testing, tuning, and documenting detections or analytics from threat intelligence, IOCs, hypotheses, or real-world investigations. Ability to communicate findings through clear written reports. Strong familiarity with detection languages such as Sigma, Suricata, Snort, or YARA, and query languages such as KQL, EQL, ES|QL, or Splunk SPL. A sound understanding of adversary tradecraft, including techniques used for persistence, privilege escalation, defense impairment, lateral movement, discovery, and collection on a system. A sound understanding of the roles different threat actors play and their associated goals, such as: initial access brokers, ransomware affiliates, and state-sponsored entities. Ability to orchestrate reusable AI workflows that improve threat hunting, detection development, or analysis, and can verify AI-generated outputs before they reach production environments. Bonus points for: Intermediate knowledge of Linux and MacOS internals. Hands-on experience using tools to remotely discover evidence of compromise such as OSquery, Velociraptor, and EDR/MDR/XDR platforms. Previous use of forensic tooling such as Eric Zimmerman's EZ Tools, RegRipper, Hayabusa, or Chainsaw to analyze endpoint artifacts. Intermediate malware analysis skills. What We Offer: Fully remote work At least one annual trip to the US for Summer Summit, with additional local events in Australia! New starter home office set up reimbursement ($800 AUD) 12 weeks paid parental leave for both primary and secondary carers Monthly digital allowance for personal phone and internet costs ($185 AUD) Monthly home office tech stipend to upgrade or replace equipment ($40 AUD) Subsidised private health insurance through our preferred provider Stock options for all full-time employees Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

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: Warsaw, Poland D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Tasks and Responsibilities Screen and qualify candidates, making detailed notes and presenting qualified candidates to internal or external hiring managers Supporting and managing the recruitment process in order to deliver the best impression towards candidates & hiring managers Communication and build relationships with internal and external stakeholders in the recruitment process Build a trusted network of inactive, passive and active candidates; keeping the touch with important ones Through the conversations you hold, gain market intelligence and create business development leads Essential ability to engage, question, and listen to people Active market mapping and sourcing candidates through various different means; headhunting, job boards, LinkedIn, Xing, etc. Requirements Experience within the recruitment industry, ideally in a fast-paced environment Excellent communication skills Very strong client facing skills Researching skills and a keen interest in Information Technology Very organized in order to coordinate with various internal and external hiring managers, candidates, agencies, as well as the internal recruitment team Ambitious, resilient and tenacious and take pride in delivering above and beyond expectations Fluent English and German; other languages are a plus Candidates have to declare Criminal record extract not older than three months Benefits Broad range of activities, tasks, and projects Flexible working conditions Vouchers (B-day voucher, wedding, and new born surprise) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA?

Location: New York City Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office.   ABOUT THE ROLE We're looking for a GTM Enablement Associate to join us for 3 months and help make sure everything our customers and prospects see from Peec is high-quality, accurate, and on-brand. You'll work directly with our GTM Enablement Specialist and support Growth, Sales, Customer Experience, and Design on decks and offers, case studies, and competitive intelligence. This is a hands-on role, not a shadowing one. You'll ship real work that goes in front of customers from your first weeks. We use AI to move faster, and we'll expect you to as well, while holding a high bar for quality. If something looks generic or rushed, we want you to be the one who notices.   WHAT YOU'LL DO - Update and refine sales decks, one-pagers, and offers so they stay current, consistent, and pixel-perfect - Support our case study program: prepare interviews, draft customer stories, and help turn results into polished assets - Track competitor launches, pricing, and messaging, and summarize what's new in a clear, usable way for our teams - Help build and test workflows and automations that save the GTM team time - Learn our product and the AI search space quickly, and help translate new features into materials - Take on ad hoc projects across Growth, Sales, and CX as priorities shift   WHAT WE'RE LOOKING FOR - Currently enrolled in or recently graduated from a Bachelor's or Master's program, ideally in business, marketing, communications, design, or a related field - A strong eye for aesthetics: you notice when spacing, fonts, or colors are off, and you care about getting the details right - Comfortable working in Google Slides, Figma, or similar - Curious about AI and how people use it, with good judgment on when AI output is good enough and when it isn't - Quick learner who can pick up a technical product and explain it simply - Organized and reliable: you manage several requests at once and follow through - Excellent written English   BONUS POINTS - Previous internship or working student experience at a startup or tech company - A portfolio, side project, or anything you've made that shows your taste - Some exposure to SEO, GEO, or marketing tech - Experience with building lightweight automations using Hubspot, Clay, and Claude   WHAT WE OFFER - Real ownership and work that ships to customers - Direct mentorship from our GTM team - Collaborative, high-energy in-office work environment - A front-row seat to building a new market category

Location: Australia What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Vice President, Channels and Alliances Location: Remote Australia What You’ll Do: Huntress is looking for a Reseller Sales Manager to join our new reseller sales team. In this role, you will be responsible for developing and managing reseller partnerships in Australia & New Zealand to support Huntress' continued growth and expansion. You will use your knowledge of the security landscape to open opportunities and build key partner relationships with resellers at the regional and national level(s). This role will work closely with senior sales leaders and other stakeholders on the revenue team to determine the actions necessary to identify opportunities for new routes to market to increase both revenue and the company’s market presence. You will work to identify value creation opportunities, shape and align implementation and support the reseller’s execution and long-term success. Responsibilities: Identify, recruit and onboard new reseller partners across Australia and New Zealand who align with our target market and capabilities, then provide them with the necessary training and support to quickly activate and effectively sell our solutions Create a strategic plan to maximize sales through the reseller and distributor channels, including defining sales targets, incentives, and marketing initiatives to drive partner-sourced pipeline and closed revenue Build strong relationships with key decision-makers at reseller and distributor companies, ensuring they are actively promoting our products and addressing any concerns they may have Provide resellers with the tools, resources, and ongoing training necessary to effectively present and sell our products to their customers Oversee the process of registering sales opportunities with resellers/distributors to ensure proper attribution and margin allocation Track reseller sales performance, identify areas for improvement, and provide coaching to maximize their sales potential Work with ANZ distribution partners as a force multiplier for partner recruitment, enablement and scale, including joint campaigns, roadshows and other related activities Work with the marketing team to develop joint marketing campaigns and materials to generate leads and support reseller sales efforts Represent Huntress at industry events, partner days and other related conferences Bring real-time market and reseller/distributor feedback back to the business What You Bring To The Team: 7+ years of experience in a combination of channel sales, partner management and/or distribution Demonstrated knowledge of the cybersecurity landscape, including different product categories, technical capabilities, and industry trends particularly in the SMB and Commercial customer segments Proven track record of identifying, recruiting and quickly activating resellers, including an  understanding of partner dynamics and incentive structures. Existing key reseller relationships are highly preferred. SMB and Commercial mindset with a bias for action and execution Experience and knowledge of MSFT licensing and Security solutions highly preferred. Confident, credible communicator who can open doors and build trust quickly with key decision makers at reseller companies and foster long-term partnerships Comfortable working remotely and managing a wide geographic territory Willingness to travel across Australia and New Zealand What We Offer: Fully remote work At least one annual trip to the US for Summer Summit, with additional local events in Australia! New starter home office set up reimbursement ($800 AUD) 12 weeks paid parental leave for both primary and secondary carers Monthly digital allowance for personal phone and internet costs ($185 AUD) Monthly home office tech stipend to upgrade or replace equipment ($40 AUD) Subsidised private health insurance through our preferred provider Stock options for all full-time employees Access to the BetterUp platform for coaching, personal, and professional growth People from all culturally diverse backgrounds, including Aboriginal & Torres Strait Islander Peoples, are encouraged to apply. Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Cybersecurity Compliance Specialist, you will be the front-line champion and strategist safeguarding Docebo's security posture and driving customer trust. You will bridge the gap between technical rigor and client confidence, translating complex compliance frameworks (like NIS2, NIST, GDPR, ISO, SOC, and FedRAMP) into competitive advantages. In this role, your work directly accelerates deal cycles, empowers our sales and legal teams, and ensures our global SaaS ecosystem remains fortress-secure.   ⚡ THE DAY-TO-DAY - Champion Customer Trust: Respond to prospect and customer security requests, review RFIs/RFQs, and deliver flawless responses regarding Docebo's compliance and security posture. - Drive Compliance & CAPs: Tackle customer security questionnaires head-on and collaborate internally to establish Corrective Action Plans (CAPs) for outstanding requirements. - Power Legal Alignment: Partner with the Docebo legal team to review Customer Agreements, Terms & Conditions, and Data Processing Addendums, seamlessly mapping client requirements to standard processes. - Spearhead Audit Readiness: Lead and support annual customer audits while partnering with the GRC team during SOC2, ISO (27001, 9001, 42001), and NIS2 assessments. - Automate for Efficiency: Leverage AI tools and basic programming capabilities to automate internal processes and optimize compliance workflows. - Publish & Curate Insights: Organize internal compliance documentation and publish up-to-date materials directly to Docebo’s "trust pages" using platforms like Vanta. - Evaluate Vendor Risk: Support third-party vendor risk assessments, monitor security controls, and maintain management reporting dashboards to mitigate external supplier risks.   🦸 YOUR SUPERPOWERS - Proven SaaS Expertise: 4+ years of hands-on experience supporting security activities, audits, and compliance in SaaS environments, backed by a Bachelor's degree in Computer Science or a related field. - Cloud & Privacy Mastery: Solid working knowledge of cloud environments (AWS, Azure, GCloud) alongside data privacy regulations like GDPR, CCPA, and PIPEDA. - Framework Fluent: Deep familiarity with security and compliance standards including ISO/IEC (27001, 27017, 27018, 27701, 9001, 42001), SOC 2, PCI, NIS2, and CFR21 Part 11. - Technical Savvy & Automation Mindset: Basic coding skills and hands-on experience with modern security governance platforms like Vanta and 1UP. - Articulate Communicator: Exceptional written and verbal English communication skills, with a knack for translating complex technical concepts into clear customer answers. - Problem-Solver Extraordinaire: Proactive, adaptable, and deeply passionate about the intersection of technology, business, and enterprise learning.   🌟 BONUS POINTS - Certified Specialist: Holding certifications such as CISA, CIPP (or CIPT), or CompTIA Security+. - FedRAMP Familiarity: Basic understanding and exposure to the FedRAMP framework. - Advanced Academic Background: Specialized degree focus in Information Security or Auditing.   🧭 OUR INTERVIEW PROCESS Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned. Step 2: A 60-minute video call with the hiring manager, where they’ll dig deeper into your experience, approach, and what excites you most about this opportunity. Step 3: A 45-minute practical case study/technical discussion with key members of the Compliance & GRC team. Step 4: A final 30-minute chat with our Security Leadership team to discuss long-term vision, growth, and team alignment.   OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.

Location: New York; San Francisco Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you’ll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -> 1 within our broader org, aiming to deploy our voice AI technology at the most Strategic customers in the market against their most challenging problems. All the while you’ll be able to leverage support from the rest of ElevenLabs to accelerate. You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them.   No two days are the same, but you should expect to: - Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points. - Build and lead a team of forward deployed engineers within the region. - Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions. - Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations. - Guide customers on best practices for implementing our voice and audio AI models to maximize their effectiveness. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models. - Build and deliver compelling demos of our voice and audio AI technology to new and existing customers. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions. - Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.   REQUIREMENTS - Executive Stakeholder Engagement: Proven experience engaging and influencing C-suite and VP-level stakeholders, both internally and at customer or partner organizations. - People Leadership: Demonstrated ability to hire, develop, and manage high-performing technical teams while fostering a collaborative and results-driven culture. - Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building. - Excellent communication and problem-solving skills, especially in terms of ability to summarize complex technical concepts and using logic in pursuing optimal solutions. - Technical aptitude to quickly understand our voice and audio AI models and their applications. - Strategic and Commercial Awareness: Ability to align technical strategy with business objectives, with an understanding of deal structures, go-to-market motions, and revenue impact. - Nice to have: Partner Ecosystem Development - Experience identifying, building, and nurturing relationships with system integrators, resellers, and technology partners to drive market growth. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: USA (Remote); Canada (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. We’re looking for a Senior Security Engineer to help protect the Sui ecosystem. You’ll uncover vulnerabilities, build monitoring tools, and assess economic risk across DeFi protocols. Working closely with external protocol teams and Mysten’s own DeFi products, including DeepBook, you’ll help address risks before they become incidents and strengthen security across the ecosystem Responsibilities - Build and run continuous monitoring of the Sui DeFi ecosystem for security and economic risk: oracle issues, misconfigurations/bad economic parameters, solvency and bad-debt exposure under price shocks, liquidation capacity against on-chain liquidity depth, accounting-versus-positions reconciliation, invariants. - Extend security team tooling, both precise static analysis tooling and proprietary agent skills. - Measure and drive compliance with the DeFi security recommendations across supported protocols: run the recurring compliance cycle, fill the protocol report card, validate security claims (audits, custody, upgrade governance, oracle dependencies) against on-chain reality, track remediation commitments, and escalate when a protocol regresses or fails to disclose an incident. Partner with the ecosystem and finance owners of the process. - Hunt for critical vulnerabilities in the highest-TVL Sui protocols and get them fixed before they are exploited: full-package audits, variant analysis across forks, pre-execution review of multisig upgrade payloads, and forensics after incidents anywhere in the ecosystem. - Be the security team's point of contact for external DeFi teams and for Mysten's own DeFi products such as DeepBook: due diligence, incident coordination, and post-mortems that feed back into the recommendations and the monitors. - Write it down: findings, reports, and runbooks that a protocol engineer can act on and a non-technical stakeholder can understand, with every claim traceable to bytecode, chain state, or data. Minimum Qualifications - Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. - 3+ years of hands-on experience in security engineering, smart contract security, or DeFi risk engineering, with a track record of building tools that ran in production and of finding real vulnerabilities (audit findings, bug bounty reports, published research, or incident work). - Strong understanding of DeFi mechanics and their failure modes: lending markets (LTV, liquidation thresholds and bonuses, close factors, bad debt), AMMs and concentrated liquidity, perpetuals, liquid staking, oracles (staleness, confidence, TWAP, multi-source aggregation), flash loans, and MEV. - Proficiency in TypeScript and Python, and comfort with Rust. Ability to write SQL over large datasets and to work with blockchain indexers and data warehouses. - Experience reading smart contract code at source or the bytecode or disassembly level, or evident ability to learn it quickly. Move experience is a plus, not a requirement; Solidity or Rust smart contract experience transfers. - Rigor: you verify claims against bytecode and chain state, build known-clean checks into your tools, and say what you did not verify. - Strong written and verbal communication, including the ability to influence external teams you have no formal authority over - Interest in the web3 space is required. Preferred Qualifications - Sui and Move experience: the object and capability model, package upgrades and version gates, programmable transaction blocks, the Sui GraphQL and gRPC APIs. - Knowledge of the recent DeFi exploit history on Sui and other chains: named incidents, oracle compromises, and the defect classes behind them. - Experience building analysis or monitoring tools with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling must do the work. - Static or dynamic program analysis experience: taint analysis, call graphs, symbolic execution, fuzzing, formal verification. - Quantitative or economic modeling experience: stress testing, liquidity modeling, risk parameters for lending markets. - Publications, conference talks, CVEs, or bug bounty rankings. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: Remote; Seattle, WA; London; New York, NY; San Francisco, CA 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 across North America and London — we also have offices in NYC, San Francisco, Seattle, and London. We're building a tool that makes content creation easy and accessible for all types of creatives. Our users love it. Runway has an actively engaged and growing community of passionate artists and creators worldwide. And we're scaling the systems behind our support team so we can keep delivering delightful experiences as that community grows. We're looking for a Support Systems Engineer who ships production code, not tickets and specs: someone who takes a fix from proposal to merged PR themselves. This role reports directly to the Head of Customer Experience. WHAT YOU’LL DO - Own the AI support agent, our ticketing system and other Support tools end to end: authentication (JWT), response logic, routing, escalation paths and tone, tested in staging before it sees live traffic - Ship daily product changes that remove ticket volume. Recent example: extending automatic refund eligibility to one-click credit purchases, accidental upgrades and month-based proration on annual terms - Build and maintain internal CX tooling as real software, not one-offs: scripts, jobs, dashboards, admin surfaces - Run QA and evals with real test suites and pass/fail rubrics, plus monitoring and alerts for outages, bugs and volume spikes - Own releases: staged rollouts, a regression suite before every ship, clear rollback criteria, a writeup when something reaches production - Build the CX reporting the org runs on: volume, deflection, CSAT, reply and resolution time, escalation accuracy, agent spend. You own the correctness and availability of the queries. - Build and stage the guardrails on refunds, account changes and anything touching money or PII, including the audit trail - Keep the knowledge base accurate and structured for the agent to parse, and manage the handoff into the ticketing system - Keep the CX roadmap and the coverage model current, sequenced against priorities set by the Head of CX, so gaps show up before they bite - Run the day-to-day with our AI platform vendor: weekly working session, joint roadmap, issues filed with reproductions - Carry signal across teams: Product and Engineering on bugs and rollouts, Customer Education on self-serve, community on Discord and the forums, GTM and Analytics on routing and reporting WHAT YOU’LL NEED - 5+ years in Customer Experience, Support Engineering or Support Operations, with real time spent writing code - You ship production code in codebases you didn't write: read TypeScript, trace logic through someone else's service, put up a PR that survives review. Our stack is TypeScript and Node.js on AWS - Hands-on experience building and tuning AI or LLM-powered support workflows: prompt and context engineering, routing, escalation design, evals - SQL experience. You own the reporting, so you shouldn't be waiting on Analytics for it - Code-level experience with a billing or payments API: invoices, prorations, refunds. A large share of consumer tickets live here - Git, PR review, CI, staging and feature flags as your default way of working - Real QA and eval experience: you can define rubrics, build test suites and calibrate against what good looks like - Judgment about where a fix belongs, in code, in the agent or in the knowledge base - A track record carrying signal between support, product and other functions and turning it into action - Comfort managing your own work in a fast-moving environment, high ownership and high autonomy - Genuine interest in AI, creative tools or both WHAT SETS YOU APART The most successful person in this role treats the agent and the systems around it like a product they own. They watch where it fails, ship the fix and check whether it worked. They build reporting people actually use. And they show up with improvements no one asked for yet. FOR YOUR APPLICATION During our interview process, you'll have several chances to get acquainted with the Runway product and use all the features our team has built, and that starts now. As part of your application, instead of a cover letter, we ask that you try out the Runway product, specifically build a custom workflow. 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, 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: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Staff Software Engineer (Commercial Platform) - Location: Espoo, Finland - Department: Business Automation - Reports to: Senior Engineering Manager - Employment type: Permanent - Workplace model: Hybrid, 3 days a week at the office - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Staff Software Engineer, you will own the architecture behind how customers discover, order, receive and pay for ICEYE's SAR imagery and monitoring insights.. You will decide how several existing backend systems become one platform, and you will see that migration through to production. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Build the platform at the heart of ICEYE's data business: it's how customers buy and receive our imagery and insights, and it will drive the Data business's revenue for years to come. - Own the technical architecture and migration plan for bringing several existing backend systems together into one unified platform behind ICEYE's monitoring intelligence products. - Make the key architecture and data-model decisions and hands-on drive them through execution across multiple engineering teams. - Deliver the platform's first production milestone together with the team within the first quarter of 2027. Then lead the migration of the remaining live products onto it without disrupting customers. - Set the technical standards other engineers build against as the platform consolidation continues. - Bring a point of view on where AI-assisted engineering practices genuinely help the team, and help others apply them. - Partner directly with product and engineering leadership to keep the migration aligned as priorities evolve. WHAT WE'RE LOOKING FOR - Backend production engineering experience in Go, or deep enough backend expertise in a similar language to ramp quickly. - Hands-on experience with PostgreSQL and event-driven, message-based architectures. - Production experience with a major cloud provider (AWS preferred). - Practical experience with observability tooling such as LGTM stack, Datadog and OpenTelemetry. - A track record of technically leading an architecture renewal, platform consolidation, or large-scale migration end to end, not just contributing to one. - Proven ability to bring multiple engineering teams and stakeholders to a shared technical direction. - Geospatial or space industry experience is a strong plus that will help you have an impact quickly. If you don't have it, apply anyway: most of our engineers learned the domain here. APPLICATION PROCESS - TA Partner screening call (30 minutes) - Hiring manager interview (1 hour) - Technical interview (2 hours) - Values & Fit interview (1 hour) - Final interview with SVP of Engineering (1 hour) WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is 8,500-10,500 EUR per month (gross), depending on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: 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. This is a future opportunity that may not be immediately available, but we're proactively building our pipeline of exceptional talent. At GitLab, we believe in connecting with outstanding professionals before we have an urgent need, allowing us to move quickly when the right moment arises. If you are excited about co-creating the future as we're building the most comprehensive AI-powered DevSecOps platform, we want to hear from you. Location: San Francisco An overview of this role As a Strategic Account Executive on our AMER Enterprise team, you'll help large, regulated organizations adopt, implement, and expand their use of GitLab’s AI-powered DevSecOps platform. You’ll focus on strategic enterprise prospects and customers, guiding them through complex DevSecOps and software delivery transformations across areas like CI/CD automation, secure development, and infrastructure modernization. In this role, you'll act as a key connector between customer stakeholders and GitLab’s field organization so GitLab is seen as a trusted, long-term partner before, during, and after the sale. In your first year, you’ll be expected to build and manage a healthy enterprise pipeline, create repeatable sales motions, and drive successful rollouts and adoption that translate into measurable results and long-term expansion. What you'll do Support GitLab’s strategic large prospects and customers as a trusted advisor throughout their DevSecOps journey. Drive the full sales cycle in large, complex enterprises, including prospecting, qualifying, developing, and closing new opportunities across your assigned accounts. Provide strong account leadership and direction in both the pre-sales and post-sales process to ensure customers realize value from GitLab’s AI-powered DevSecOps platform. Coordinate closely with Solutions Architects, Customer Success, Support, and strategic channel partners to design and execute account strategies that drive adoption, expansion, and retention. Develop and execute structured account plans based on customer business needs, including opportunity mapping, stakeholder alignment, and multi-threaded engagement across technical and business teams. Ensure successful rollout and ongoing adoption through proactive account management activities, regular business reviews, and clear alignment on customer outcomes. Prepare and deliver accurate activity and forecast reports, and contribute to root cause analysis on wins and losses while sharing lessons learned with account managers, marketing, and technical teams. Act as the voice of the customer by sharing feedback and product ideas, and use a consultative approach to create proposals, quotes, and presentations that clearly link GitLab’s solutions to customer business objectives. What you'll bring A true desire to see customers achieve meaningful outcomes and long-term value from their investment in GitLab. Experience driving complex B2B software sales cycles with large enterprises, ideally in DevSecOps, software development tools, or adjacent SaaS solutions. Proven success selling into large, strategic organizations, with the ability to build trusted relationships with C-level and senior stakeholders across business and technical teams. Able to provide a high degree of account management and control, working under minimal supervision on complex opportunities while maintaining clear communication and alignment. Ability to generate new business and expand existing accounts through consultative, multi-stakeholder sales motions that result in sustainable, long-term partnerships. Experience collaborating with strategic channel partners to develop opportunities, co-sell, and support successful customer adoption. Excellent negotiation, presentation, and closing skills, with effective written and verbal communication that influences internal and external stakeholders. Preferred experience with Git, software development tools, application lifecycle management, or security/application security tools. You share our values and work in accordance with them, use GitLab in your daily work, and are able to travel if needed while following GitLab’s travel policy. About the team The Enterprise Sales team is responsible for driving growth, adoption, and long-term value for GitLab's AI-powered DevSecOps platform with our largest and most strategic customers. As a Strategic Account Executive on the AMER Enterprise team, you'll be part of a distributed, all-remote team that works asynchronously across regions and partners closely with GitLab's sales engineering, marketing, and customer success teams. We value transparency, collaboration, and a consultative approach, and we support one another through shared account planning, regular deal reviews, and knowledge sharing focused on enterprise customers across regulated and large-scale environments. 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 $124,000 — $186,600 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: London Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. 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: 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. About the role Customer Experience Operations is building out the foundation needed to grow and support Professional Services at GitLab. We are looking for a Staff Professional Services Operations Lead to establish scalable operations across PS, supporting planning and resource management, operational tooling and cadences, delivery operations, financial performance, systems partnership, and go-to-market alignment. Reporting to the Director of Customer Experience Operations, you will be a strategic and hands-on partner to PS leadership. You will help move the organization from manual, disjointed processes to connected, reliable, and increasingly automated ways of working. Your work will give leaders better visibility into pipeline, capacity, staffing, delivery economics, and growth and will ensure our teams have what they need to successfully deliver. What you’ll do Mature the PS operating cadence, including forecasting & planning alignment, business reviews, performance reporting, and executive readouts. Establish connected capacity, utilization, and resource management practices across billable and non-billable roles, including skill-based staffing and hiring planning. Improve visibility and deliver insights into project economics, including rate cards, fully loaded costs, burden rates, project margin, fixed-fee budgets, utilization, and revenue recognition. Partner with Finance, Sales, Customer Success, CX Engineering, Solutions Architecture, and Delivery to improve PSA, time-tracking, CRM, reporting, and related tooling. Define requirements and lead process improvements, automations, and efficiency drivers across Professional Services, Operations, and newly integrated services teams. Improve go-to-market alignment by tracking PS attach, connecting PS planning to account and renewal timelines, and enabling earlier PS involvement in deal strategy and account planning. Partner cross functionally to deliver improvements in service catalog, pricing and packaging, SKU governance, and partner or channel delivery models. Document processes, clarify roles and decision rights, and partner with Analytics to build self-service reporting that reduces dependencies of PS leadership for day-to-day execution. What you’ll bring 10+ years’ experience in Professional Services Operations, Services Operations, Revenue Operations, or a related function in a technology or subscription business. Deep understanding of PS business models, including time and materials, fixed-fee, and blended engagements. Experience owning and developing forecasting and planning processes that connect sales pipeline to delivery capacity, staffing, bookings, and revenue. Experience with resource management, utilization, project margin, delivery operations, PSA systems, or services go-to-market operations. Experience leading process and systems improvements across evolving organizations. Strong analytical, business judgment, communication, and stakeholder management skills. A pragmatic, hands-on approach to solving ambiguous operational problems. Hands-on experience with Kantata or a comparable Professional Services Automation (PSA) platform. Ability to translate business requirements into system workflows, data definitions, reporting requirements, and automation opportunities. Deep familiarity with revenue recognition processes and the systems partnership required between Professional Services and Finance. Nice to have Experience integrating two or more services organizations, operating models, or systems or driving operations transformation and maturity. Experience improving PS attach, deal structuring, account planning, or services participation in the sales cycle. Experience with partner, channel, or customer-funded delivery models. Experience working in a distributed or all-remote organization. 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 $139,200 — $235,200 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: Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Solutions Architect supporting a dedicated national security mission program, you will be the customer's trusted technical advisor — helping them understand the value of Claude and how to successfully integrate and deploy it into their technology stack. You'll combine deep technical and cyber domain expertise with customer-facing skills to architect LLM solutions for complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide the customer from technical discovery through successful deployment, much of it on-site in secure environments. Key responsibilities Serve as the dedicated technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption Support the customer building with Claude Code, the Claude API, and Claude for Enterprise Help develop evaluation frameworks to measure Claude's performance for mission-specific use cases Guide technical architecture decisions and integration into the customer's existing stack Coordinate internally across Sales, Product, and Engineering to drive customer success Create and deliver technical content from engineering deep dives to executive briefings Work primarily on-site with the customer's engineering and mission teams in secure government facilities, while maintaining close internal coordination and feedback with Anthropic’s Applied AI and Engineering teams Minimum qualifications Active TS/SCI clearance with Polygraph Prior experience working within US intelligence community agencies as a government civilian or cleared contractor Experience in technical customer-facing roles (solutions architecture, sales engineering, or similar) Exceptional ability to communicate technical concepts to diverse stakeholders, from engineers to executives Hands-on expertise in one or more of the following domains: offensive or defensive cyber operations (including vulnerability research, reverse engineering, and ICS/OT security), cryptography and cryptanalysis, intelligence analysis and ISR (all-source, SIGINT, GEOINT), mission and weapons systems (command and control, space, electronic warfare, autonomy), CBRN and nonproliferation, or accreditation of classified systems (RMF, ATO, cross-domain solutions). Preferred qualifications 5+ years in Solutions Architect, Sales Engineer, Technical Account Manager or equivalent roles Familiarity with common LLM frameworks and tools Background in artificial intelligence, machine learning, or data science Experience designing scalable cloud architectures and integrating with enterprise systems Experience deploying and operating software in air-gapped or classified environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.