Задачи:
— Вести технический SEO-бэклог: проводить аудит и доработку существующих разделов и шаблонов, внедрять и исправлять микроразметку на действующих страницах, устранять проблемы с индексацией, дублями, редиректами и скоростью.
— Сопровождать продуктовую разработку от старта до релиза.
— Писать SEO-требования к продуктовым ТЗ и макетам продуктов: семантическая верстка страниц и виджетов, роутинг, шаблоны метаданных для автоматически генерируемых страниц, микроразметка и другие требования.
— Улучшать техническое состояние сайта: работать с индексацией и рендерингом SPA/SSR, кодами ответов, sitemap и Core Web Vitals, проверять SEO-часть релизов.
— Консультировать соседние команды: находить решения на стыке SEO, продукта, редакции и коммерции.
— Анализировать индексацию, видимость и трафик, оценивать эффект внедрений, приоритизировать SEO-бэклог.
— Вести базу знаний: SEO-гайдлайны, готовые ТЗ по типам страниц, продуктов и виджетов.
Требования:
— Релевантный опыт в техническом SEO и подтвержденные кейсы технических внедрений на крупных проектах с измеримым результатом.
— Сильная техническая база в SEO: знание того, как Google и Яндекс сканируют, рендерят и индексируют JS-сайты (SSR/CSR, исходный HTML).
— Умение работать с каноникализацией, редиректами, schema.org / JSON-LD и Core Web Vitals.
— Знание специфики новостных проектов: Google News и Discover, свежесть контента, live-страницы, монетизация.
— Понимание микросервисной архитектуры и HTTP (заголовки, кеширование, условные запросы), а также опыт написания ТЗ для разработчиков (семантическая верстка, микроразметка, роутинг и другие технические требования).
— Умение работать с данными и принимать решения на их основе.
— Будет плюсом знание спорта.
Условия:
— Удалённая работа с возможностью посещать офис в центре Москвы.
— Гибкое начало и окончание рабочего дня.
— ДМС со стоматологией по всей РФ с первого рабочего дня.
— Персональный годовой бюджет на занятия спортом и оплату коворкинга для сотрудников вне Москвы.
— Оплата отпуска и больничных без потери в деньгах.
— Программа лояльности с сотнями скидок.
— Статус аккредитованной IT-компании.
— Обучение и помощь в развитии: компенсация профильных курсов, доступ к конференциям, регулярные one-to-one и performance review.
— Спортивные команды и клубы по интересам.
Процесс найма:
— Короткое HR-интервью на 20 минут.
— Собеседование с потенциальным руководителем.
— Тестовое задание.
— Финальное интервью с операционным директором и HRD.
Location: Tokyo, Japan
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
We’re looking for an experienced Go-To-Market (GTM) Recruiter in Tokyo to partner closely with our Japan leadership team to attract, engage, and close top talent from an array of backgrounds. In this role, you’ll help build our Japan organization in a high-ownership, high-growth environment. We will look to you to advise and consult with hiring managers and interviewers, proactively source and engage future Notinos, and design a rigorous hiring processes while ensuring a delightful candidate experience.
WHAT YOU'LL ACHIEVE:
- Own the Japan recruiting process for GTM roles, primarily for Solutions Consultants (direct sales) and other GTM roles.
- Operate autonomously across the end-to-end cycle, from direct sourcing and screening through close, while ensuring a thoughtful candidate experience at every step.
- Run role kick-off meetings, define profiles, and align interview plans and scorecards to drive consistent, high-quality decisions.
- Utilize internal hiring metrics and external market data to proactively propose recommendations and solutions to leaders.
- Drive our diversity and inclusion strategy forward, with a heavy emphasis on sourcing and maintaining a well-balanced and diverse top-of-funnel candidate slate.
- Build and nurture future talent pipelines for priority Japan GTM roles.
- Establish trusted partnerships with the Japan leadership team to ensure Notion hires the right talent at the right time to achieve the company’s ambitious goals.
- Ensure scalable, structured hiring plans for all roles with a strong sense of urgency and agency, while building repeatable processes and creative solutions that help the recruiting team scale for years to come.
- Inspire candidates throughout all stages of the interview process, and build a customized close for each candidate.
- Collaborate closely with peers and cross-functional partners, including Recruiting Coordinators, HRBPs/People Partners, Compensation Partners, Recruiting Operations, Executive Operations Partners, and Revenue Operations.
SKILLS YOU'LL NEED TO BRING:
- You have at least 5 years of recruiting experience, preferably in a high-growth, in-house environment. Agency background is also welcome if you have full-cycle IT/SaaS sales hiring experience.
- You have a track record of directly sourcing, qualifying, and closing exceptional GTM talent (e.g. Sales, Customer Success, Pre-Sales, Professional Services) based in Tokyo.
- You can partner with, manage, and influence leadership stakeholders effectively. You have coached and guided hiring managers and interviewers through the full recruiting process.
- You have built diverse candidate pipelines and helped hiring managers build inclusive teams.
- You have outstanding communication and interpersonal skills in both English and Japanese (written and spoken fluency in both are required.)
- You have a relentless focus on delivering a high-touch, high-quality recruiting experience, while respecting candidates’ and hiring managers’ time.
- You can multitask and prioritize in a fast-paced, ever-evolving environment.
- You’re a team player with an optimistic attitude, and you’re comfortable wearing many hats in a smaller organization.
NICE TO HAVES:
- You have owned the end-to-end hiring process at global SaaS companies.
- You have managed roles and candidates across regions outside of Japan.
- You’re a Notion power user!
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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: United Arab Emirates
Paid Social Manager (Meta Ads) — Remote
About us
SF Marketing Agency is a performance marketing agency based in Dubai. We run paid social, automation and lead generation for B2B and B2C businesses (SMB and mid-market) in the UAE and English-speaking markets.
We're looking for someone who wants to work hard, learn fast and get very good at Meta Ads, inside a team that uses AI in its daily work.
What you'll do
Set up and launch Meta Ads (Facebook/Instagram) lead generation campaigns for agency clients
Run 5+ client ad accounts at the same time
Check ad accounts daily: budgets, statuses, policy flags and restrictions, account health
Manage and optimise live campaigns: test audiences, offers and creatives
Track and analyse CPL, CPQL (cost per qualified lead), CPA (cost per acquisition / order), CTR and CPM
Prepare performance reports for the internal team
Brief designers and copywriters on creatives, and edit or assemble simple creatives yourself
Use AI tools every day: creating and testing creatives, writing ad copy, analysing data, automating routine tasks
Set up Meta Pixel, Conversions API and UTM tracking
Requirements
English: Upper-Intermediate (B2) or above, written and spoken
2+ years of hands-on Meta Ads experience in lead generation (agency experience is a strong plus)
Case studies that prove your results: ad spend → leads → CPL/CPA
You've brought down CPL or CPA on live accounts, and your case studies show how
Experience running 5+ ad accounts at once
Hands-on setup of Meta Pixel, Conversions API and UTM tracking
Hands-on use of AI tools (ChatGPT, Claude or similar) for creatives, copy, analysis and automation
Design skills: comfortable in Canva, Figma or Photoshop, with a good eye. You can fix a creative yourself or give a designer clear feedback
Self-driven: you test ideas on your own and don't wait for instructions at every step
Nice to have
Google Ads or TikTok Ads
CRM tools (GoHighLevel or similar), GTM, GA4
Terms
Full-time, remote
Working hours overlap with Dubai (GMT+4): you must be based between GMT+1 and GMT+7
Pay: base from $1,200/month + performance bonus tied to client results (CPL/CPA targets) + quarter bonus for company targets.
Employment type and payment method: discussed individually
How to apply
Everything in English. Applications in any other language will not be reviewed.
Your CV
Your case studies (ad spend → leads → CPL/CPA)
A short note: why you, and which accounts you run now
УдалённоUnited Arab Emirates; Working hours overlap with Dubai (GMT+4): you must be based between GMT+1 and GMT+7
Location: Limassol, Cyprus
Freedom24 is a trusted online broker with expertise in the US, European, and Asian stock markets, registered in Cyprus, and offers a broad range of services in the financial markets.
Freedom Team is a union of highly qualified professionals on the market, bursting with vibrant energy and pioneer ideas. All of us are goal-oriented with a strong belief in teamwork power built on the strength of each of us. We work in a high-paste environment and within cross-functional teams. We are dedicated to achieving the best possible result, and no one thinks he doesn’t make a change.
We’re looking for a hands-on advertising expert to grow customer acquisition across search engines and AI chat platforms, with AI agents and automation at the core of campaign management.
If you feel like you’re a good fit for us and we are a good fit for you, go ahead and check this position out.
Responsibilities
AI & Automation
Build and optimise AI agents to manage bidding settings, budgets, keywords and negative keywords.
Use LLMs to analyse search queries, identify growth opportunities, detect wasted spend and generate ad variations.
Connect advertising platforms, analytics and internal data through APIs to automate campaign analysis, reporting and actions.
Test and monitor automated workflows, with clear limits and approval rules for campaign changes.
Search Engines & AI Chat Platforms
Own the planning, launch, optimisation and scaling of paid search campaigns across search engines.
Explore and test customer acquisition through AI chat platforms, including paid advertising formats where available.
Launch and optimise remarketing campaigns, with audiences, exclusions and messaging tailored to each stage of the customer journey.
Write and test clear, relevant ad copy adapted to each platform, audience and user intent.
Measurement & Performance
Improve conversion tracking, offline conversion integration and attribution across channels.
Use experiments and conversion value to guide bidding, budget allocation and campaign optimisation.
Identify which campaigns attract valuable customers and scale successful approaches.
Requirements
Hands-on experience building or implementing AI agents, LLM-based workflows or automation solutions in advertising, marketing or analytics.
Strong experience independently managing paid search campaigns, with a proven record of improving performance and scaling results.
A solid understanding of bidding strategies, keyword management, search query analysis and value-based optimisation.
Experience launching and optimising remarketing campaigns and audience strategies.
Working knowledge of analytics, tag management, offline conversions and attribution.
Practical experience with APIs and tools such as Python, JavaScript, SQL or automation platforms.
Strong analytical skills and the ability to turn data into clear decisions and measurable improvements.
Excellent written communication and ad copywriting skills.
Initiative to explore emerging advertising channels, challenge existing processes and take ownership of improvements.
Experience testing advertising or customer acquisition through AI chat platforms is a plus.
Benefits
Ownership of a meaningful area of performance marketing, with scope to influence how the work is done;
The opportunity to build and apply AI-powered solutions in a live advertising environment;
An international team and a preferred office location in Cyprus; remote work may be considered;
Relocation support for you and family members;
Compensation discussed individually, based on your experience and expectations.
Location: Sacramento, United States; Knoxville, United States; Honolulu, United States; Boise, United States; Naples, United States; Irvine, United States
CXG is a global Customer Experience consulting firm specializing exclusively in serving premium and luxury brands.
We partner with premium and luxury brands to transform experiences for meaningful impact. We provide valuable insights and support them in taking actionable steps toward creating seamless customer experiences that deliver more value.
About the Role:
As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury.
• Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments.
• Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide.
What you will be doing:
1. Choose your assignments - align your missions with your personal preferences and profile.
2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home.
3. Observe carefully - check the ambiance, service quality, and overall customer experience.
4. Provide honest feedback - use our platform to share your observations through questionnaires.
Perks of the Role:
• Collaborate with iconic brands across industries.
• Flexible assignments tailored to your interests.
• Compensation for your time and input, with the potential for reimbursement on purchases.
• A user-friendly platform for managing missions and feedback.
How to Join the CXG Community:
1. Register: sign up at
live.cxg.com
and confirm your email.
2. Complete your profile: fill out your details to 100% and get verified.
3. Get certified: pass the General Certification to access missions.
4. Apply for missions: explore assignments with brands that excite you.
5. Start evaluating: begin making a difference in the luxury market.
Compensation:
• Non-Purchase Evaluations: Earn a fee based on mission complexity.
• Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.
About CXG
At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants.
Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback.
Requirements
Must be 18 years or older (21 years or older in the United States).
Current customer of premium and luxury brands.
Not currently under contract with any retail brands, to ensure impartiality.
Punctual, organized, detail-oriented, and reliable.
Observant and passionate about customer experience.
No prior experience is required; we value honest feedback from genuine customers.
Location: Riyadh, Saudi Arabia
The Assistant Horticulturist – Outdoor Gardens supports the day-to-day maintenance, care, and presentation of outdoor gardens, landscapes, and living plant collections. Working under the direction of the Horticulturist – Outdoor Gardens, the role provides practical support in planting, pruning, plant health, irrigation, pest management, and general garden maintenance.
The position also supports plant identification, collection records, Integrated Pest Management (IPM), and the safe use and routine maintenance of horticultural tools and equipment. The role contributes to maintaining safe, healthy, attractive, and high-quality outdoor garden environments.
Key Responsibilities
Support planting, pruning, watering, weeding, mulching, fertilisation, deadheading, staking, and general garden maintenance.
Assist with the establishment, replacement, and maintenance of trees, shrubs, groundcovers, herbaceous plants, and seasonal displays.
Monitor plant health and identify signs of pests, diseases, nutrient deficiencies, water stress, and other environmental issues.
Support the implementation of Integrated Pest Management (IPM), including monitoring, preventative measures, and appropriate control activities.
Assist with soil preparation, amendments, mulching, fertilisation, and other plant-health activities.
Support irrigation and watering activities and report signs of over- or under-watering.
Assist with plant identification, labelling, inventory, and accurate maintenance of plant collection records and databases.
Maintain high horticultural, aesthetic, and presentation standards across outdoor garden areas.
Qualifications
Bachelor's degree in Horticulture, Botany, Plant Sciences, or a related discipline.
Additional training or certification in horticulture, plant identification, IPM, irrigation, or related areas is advantageous.
Experience
Minimum
3 years of relevant professional experience
in outdoor horticulture, garden management, or landscape maintenance.
Practical experience in planting, pruning, plant establishment, irrigation, soil preparation, fertilisation, mulching, and general plant care.
Experience maintaining a range of trees, shrubs, groundcovers, herbaceous plants, and seasonal displays.
Experience identifying common plants, pests, diseases, and environmental or plant-health issues.
Experience supporting IPM programmes and routine plant-health monitoring.
Experience with plant labelling, inventory, collection records, and basic horticultural databases is desirable.
Practical experience using and maintaining common horticultural tools and equipment.
Previous experience in a botanic garden, public garden, arboretum, nursery, major landscape, or comparable horticultural environment is preferred.
Core Competencies
Practical horticultural and plant-care skills
Plant identification and basic plant-health assessment
Understanding of Integrated Pest Management principles
Safe use and care of horticultural tools and equipment
Attention to detail and horticultural presentation standards
Accurate record-keeping and organisational skills
Задачи:
— проектирование и развитие игровых механик и систем;
— анализ существующих механик и поиск точек для улучшения;
— работа с экономикой, прогрессией, дропом, ресурсами и PvP;
— анализ игровых метрик и поведения игроков;
— поиск потенциальных эксплойтов;
— подготовка задач для разработки;
— ведение и актуализация игровой документации и GDD;
— составление патчноутов;
— сопровождение изменений от идеи до релиза.
Требования:
— системное мышление и понимание MMORPG;
— умение находить причины проблем, а не только их симптомы;
— способность прогнозировать последствия игровых изменений;
— понимание игровой экономики, прогрессии и PvP;
— умение работать с метриками и данными;
— способность находить потенциальные эксплойты;
— грамотное документирование игровых систем и изменений.
Будет плюсом:
— опыт работы с MMORPG и live-проектами, SQL и аналитическими инструментами, проектирование PvP и игровых экономик.
Условия:
— полностью удаленная работа;
— гибкий график;
— небольшая команда и быстрое принятие решений без лишней бюрократии;
— возможность напрямую влиять на развитие и рост проекта;
— конкурентное фиксированное вознаграждение по результатам собеседования;
— свобода в выборе инструментов и подходов для достижения результата.
Отбор:
— первый обязательный этап — тестовое задание;
— без выполнения тестового отклик не рассматривается;
— после тестового — собеседование и обсуждение условий сотрудничества;
— зарплата — по итогам собеседования.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion has been at the cutting edge of AI since before ChatGPT launched. The job of the Model Capabilities team is to keep us there. We own the model layer of Notion AI: integrating frontier models as they ship, keeping inference reliable and economical at scale, and building new capabilities that other teams take advantage of.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Bring new frontier models into production quickly, making them available for our users and our engineers.
- Make inference reliable: better error categorization, self-healing retries, and cross-provider failover.
- Own observability for the model layer, driving down both time to detection and time to fix.
- Build new model-level capabilities and help product teams adopt them.
- Act as connective tissue across Notion's AI teams: find the gaps, unblock people, and make sure fixes land with the right owner.
SKILLS YOU'LL NEED TO BRING:
- Comfort with a moving frontier: The model landscape changes monthly. You keep up with it, form your own view of what's real, and stay pragmatic about what's worth adopting now.
- AI fluency as a practitioner: You use AI tools seriously in your own work and have opinions about where they help and where they don't.
- Production AI systems experience: You've built and operated systems on top of LLM APIs, not just prototyped with them. You understand token economics, streaming, tool calling, context limits, and how each of these fails in production.
- Measurement before conviction: You don't ship a prompt or model change on vibes. You define what "better" means, build or use the evaluation to test it, and are willing to be proven wrong by your own data.
- Cost and performance instincts: You treat latency and dollars as product qualities, not afterthoughts, and you can reason about the tradeoff between them and output quality.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $255,000 – $300,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- 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: Thailand - Remote
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Job Purpose:
The Commercial Territory Account Manager is responsible for driving sales growth and customer engagement within assigned territory. This role is focused on identifying new business opportunities, nurturing existing customer relationships, and driving revenue growth.
Organisation Structure:
Who this role reports to:
Senior Director, Sales
Principal Accountabilities:
Manage a defined book of customers across the full sales lifecycle.
Develop and execute a territory sales plan to meet or exceed revenue targets.
Master MEDDPICC and Command of the Message on all opportunities.
Conduct virtual meetings, product demos, and follow-ups with prospects and existing customers with in-person meetings required depending on the region.
Qualify inbound and outbound leads and progress opportunities through the sales funnel.
Maintain accurate records of all sales activities and customer interactions in salesforce.
Collaborate with the marketing, product, and customer success teams to ensure customer satisfaction and long-term value.
Stay current on industry trends, product updates and competitive landscape.
Contribute to root cause analyses on wins/losses.Communicate lessons learned to the team, including account managers, the marketing team, and the technical team.
Other Responsibilities:
May perform other duties and responsibilities that management may deem necessary from time to time.
Knowledge, Skills and Experience:
Bachelor’s degree in Business, Marketing or a related field (or equivalent experience).
5+ years of overall experience, with 3 years of sales experience or account management experience.
Proven ability to meet or exceed sales targets in a fast-pace sales environment.
Strong communication, negotiation and interpersonal skills.
Comfortable with CRM systems and sales enablement tool.
Self-motivated, goal-oriented, and capable of managing multiple priorities.
Experience working with cross-functional teams.
Experience working within the channel sales model.
Strong live and virtual presentation skills.
Demonstrated success in new business development and prospecting.
Experience building and maintaining adequate sales pipeline to achieve quota.
Key Decisions:
Account Prioritization – Determining which customers or prospects to focus on based on revenue, engagement level, and strategic fit.
Sales Strategy – Developing and executing territory-specific sales plans and outreach strategies.
Pipeline Management – Prioritizing which deals to push forward in the sales cycle based on deal size, probability and closing timeline.
Time and Resource Management – Prioritizing tasks and managing daily/weekly workloads to balance prospecting, client meetings and administrative tasks.
#LI-SH2
#LI-Remote
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Grafana Labs is looking for an
Strategic Account Executive, Growth
who will be responsible for prospecting and growing existing business across the
West region
. You will identify, nurture and close opportunities with existing customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Customer Success team.
What You’ll Be Doing:
Identify new opportunities to expand Grafana usage within a set of current customers
Meet and exceed individual quarterly and annual sales goals
Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management)
Cultivate sales through outbound prospecting and inbound leads
Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise
Become an expert in managing your sales pipeline in Salesforce
Manage quote creation, order processing, and day-to-day customer requests
What Makes You a Great Fit:
5+ Years of Experience in Infrastructure Technology Sales
Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
Energetic, upbeat, entrepreneurial, tenacious team player
Adaptable and with demonstrable experience in high velocity technology companies
Experience using Salesforce
You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually
Bonus Points For:
Familiarity with open source technology is a significant advantage
Experience using Command of the Message and MEDD(P)ICC is ideal
Compensation & Rewards:
In the United States, the OTE (On-Target Earnings) compensation range for this role is $32
0,000 - $340,000.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: San Francisco, CA
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.
We're looking for a Senior Computer Vision Engineer to join our Embodied AI team, focused on 3D scene understanding and semantics. A reconstructed environment is only useful to a robot once it knows what is in it: which surfaces are floor, which objects can be grasped, moved, or opened, where one room ends and another begins. You'll work hand in hand with our Research Scientists to take advances in open-vocabulary perception, 3D semantic labeling, and scene graph construction and turn them into reliable capabilities that embodied AI teams can use in production.
This is an applied research role. You'll live at the boundary between a research prototype and a production pipeline: adapting methods so they hold up on messy customer captures, lifting 2D semantic signals into geometrically consistent 3D, defining what "semantically correct" means for a downstream policy, and feeding what you learn back into the research agenda. You understand that the difficult part is often not the core method, but the messy inputs, edge cases, operational constraints, and downstream requirements surrounding it. You care about quality, cost, latency, and reliability, and you know that a system is only successful when people can depend on it. This is a hands-on engineering role for someone who wants to build, ship, and own outcomes. You'll help shape both the technology and the product, while remaining close to the code and the problems our customers are trying to solve.
What You'll Do
- Productionize 3D Scene Understanding Capabilities - Turn research prototypes in open-vocabulary segmentation, 3D semantic and instance labeling, affordance prediction, and scene graph construction into reliable pipeline components and services that operate across varied customer data and environments.
- Own End-to-End Output Quality - Ensure that reconstructed environments carry labels, instances, and relationships that are consistent, complete, and correct enough for downstream simulation and policy learning, and define what "correct enough" means for each customer workflow.
- Bridge Research and Production - Work day to day with the Embodied AI Research Scientist: pressure-test new methods on real customer data, identify where they break, and bring production and customer constraints back into research planning to prioritize the advances that matter most.
- Make Systems Robust to the Real World - Diagnose failures caused by capture quality, scene complexity, scale, calibration, coordinate conventions, and other assumptions that prototypes often leave implicit.
- Build Evaluation and Quality Infrastructure - Create datasets, regression tests, quality gates, and benchmarking tools that help the team measure whether changes improve the system.
- Improve Performance, Throughput, and Cost - Profile and optimize GPU and distributed workloads, reduce unnecessary reruns, and help establish the economics of running reconstruction at scale.
- Work Across the Product Boundary - Partner with Embodied AI product and engineering teams to understand customer requirements and deliver capabilities that fit real training, evaluation, and deployment workflows. Help evolve the representations, tooling, and operational systems that allow reconstructed environments to move reliably into customer applications.
What You'll Bring
- 5+ years of computer vision experience and a bachelor's degree or equivalent,
- Significant experience building and operating production computer-vision, machine-learning, graphics, or data-processing systems.
- Deep hands-on experience with scene understanding: semantic, instance, or panoptic segmentation; open-vocabulary detection and segmentation; or vision-language models applied to perception.
- Experience taking 2D perception into 3D, such as multi-view label fusion, 3D semantic segmentation, instance tracking across views, or scene graph construction over reconstructed geometry.
- Experience delivering reliable computer-vision or 3D systems used by other teams or customers, including the evaluation that proved they worked..
- Practical command of 3D and spatial data, including geometry, camera models, coordinate frames, calibration, and metric scale.
- Strong Python and PyTorch skills, with the ability to work in C++ or other performance-oriented environments when needed.
- Experience with cloud infrastructure, GPU workloads, distributed processing, or large-scale data pipelines.
Nice to Have
- Hands-on experience with 3D reconstruction, photogrammetry, structure from motion, Gaussian splatting, neural rendering, or meshing.
- Experience with SLAM, visual positioning, localization, or large-scale mapping systems.
- Experience with robotics, simulation, or embodied AI applications, in particular how semantic labels are consumed by a policy or a simulator.
- Built evaluation or benchmarking infrastructure for perception or reconstruction systems.
- Experience optimizing large-scale GPU inference workloads for cost, throughput, or latency.
- A publication record or contributions to widely used open-source perception codebases.
- Advanced degree in computer vision, robotics, machine learning, or a related field.
Competencies
- Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it.
- Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular.
- Pragmatic. You have no patience for not-invented-here Syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling.
- Strong systems instincts. You understand that production quality includes reliability, observability, cost, latency, maintainability, and usability—not just algorithmic accuracy.
- Comfort with ambiguity. You can make progress when the problem, data, and requirements are still evolving.
Compensation & Benefits
Base salary range of $229,500 to $255,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
Location & Work Model
This role is based in our San Francisco office, with three days per week in office.
Inclusive Application
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for.
Equal Opportunity
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
Candidate Privacy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: Remote; 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
