Задачи:
— Проводить занятия по программе Академии в соответствии с учебным планом
— Готовить материалы и практические задания
— Показывать практическое применение AI-инструментов
— Вести проектную работу со студентами от идеи до мини-продукта
— Проверять домашние задания и давать обратную связь
— Вести электронный журнал, отмечать посещаемость и оценки
Требования:
— Среднее или высшее образование в сфере IT или смежных направлениях
— Опыт работы в IT желателен
— Уверенное владение ChatGPT, Claude, Gemini, Perplexity
— Опыт работы с AI-генераторами изображений: Leonardo AI, Midjourney, Firefly, Recraft
— Основы Prompt Engineering и no-code автоматизации: Make, n8n, Zapier
— Знакомство с AI-видео и озвучкой: Runway, CapCut, ElevenLabs, HeyGen
— Понимание API, базовых интеграций и основ Python в Google Colab и Replit
— Умение объяснять сложное простым языком и увлечь аудиторию
Условия:
— Офлайн-работа в филиале в Уральске, ул. Алии Молдагуловой, 25
— Занятия 2 раза в неделю по 2 часа 50 минут в вечернее время
— Оплата от 4 000 ₸ за пару
— Возможность совмещать преподавание с основной работой
— Гибкий график
— Частичная занятость
Responsibilities Partner with Product Managers and Engineers throughout product discovery, from identifying problems and opportunities to defining and validating solutions. Translate user feedback, business goals, product requirements, and technical constraints into thoughtful product improvements.
Location: London
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 in London, UK.
You will carry a book of 40-60 mid-market and emerging accounts - companies in the <$1B range, closing 25-40 deals a year at $40k-$100k and building toward larger standard deal sizes as our packaging moves upmarket. You work in a pod with a dedicated Mid-Market Engagement Manager on a shared book, with a comp plan designed to maximize earnings and customer value.
We are architecting the best GTM team in all of AI. If you want to grow, run fast, and sell with a leading-edge frontier AI company with room to grow your career, please apply.
WHAT YOU'LL DO
- Run a high-velocity full-cycle motion: 25-40 closed deals a year across inbound and outbound
- Qualify hard and fast - your book is big, your calendar is the scarce resource, orientation to clear ROI and value orientation is a must
- Push deal size up: committed-volume, use-case expansion plays that turn $30k starts into $100k+ repeatable motions
- Turn product signals (usage spikes, team signups, credit burn) into pipeline
- Work with your pod's Engagement Manager so new customers hit consumption targets and your held-back commission unlocks
WHAT YOU'LL NEED
- 3+ years of full-cycle closing experience in SaaS/AI with a quota record above 100%
- Velocity evidence: 20+ closed deals a year, multi-channel prospecting, disciplined qualification
- Native AI-tool fluency - you already sell with AI in your workflow, not despite it
- Writing and demo skills strong enough to carry a deal without a solutions engineer
- Coachability with a track record: name the coaching that changed your numbers
STRONG CANDIDATES MAY ALSO HAVE
- Sold to creative or marketing teams
- PLG or usage-signal selling experience
- BDR-to-AE promotion in your history - we like people who earned the chair
COMPENSATION
OTE $270K - $300K (50/50 base to variable). Offers equity.
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
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Location: Mexico
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, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be.
No two days are the same, but as a Deployment Strategist you can expect to:
- Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents.
- Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close.
- Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team.
- Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life.
- Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact.
- Scope out potential applications in new industries and expand our AI solutions across different sectors globally.
- 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 teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap.
- Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers.
- Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes.
Requirements
- 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred.
- Experience in product development, delivery, and change management
- Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners.
- Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams.
- Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions.
- A proven track record of taking ownership of complex, ambiguous projects and delivering results.
- Adaptability to work across different customer environments, industries, and technical use cases.
- Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks.
- Ability to creatively map enterprise use cases and workflows to AI systems
LOCATION
This role is remote-first, so it can be executed from anywhere in Mexico, with a preference of Mexico City. Expect regular travel for customer onsite. Fluency in English and Spanish and a deep understanding of the regional and cultural nuances is required.
#LI-Remote
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: Argentina
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, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be.
No two days are the same, but as a Deployment Strategist you can expect to:
- Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents.
- Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close.
- Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team.
- Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life.
- Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact.
- Scope out potential applications in new industries and expand our AI solutions across different sectors globally.
- 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 teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap.
- Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers.
- Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes.
Requirements
- 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred.
- Experience in product development, delivery, and change management
- Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners.
- Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams.
- Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions.
- A proven track record of taking ownership of complex, ambiguous projects and delivering results.
- Adaptability to work across different customer environments, industries, and technical use cases.
- Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks.
- Ability to creatively map enterprise use cases and workflows to AI systems
LOCATION
This role is remote-first, so it can be executed from anywhere in Argentina, with a preference of Buenos Aires. Expect regular travel for customer onsite. Fluency in English and Spanish and a deep understanding of the regional and cultural nuances is required.
#LI-Remote
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: Colombia
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, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be.
No two days are the same, but as a Deployment Strategist you can expect to:
- Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents.
- Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close.
- Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team.
- Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life.
- Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact.
- Scope out potential applications in new industries and expand our AI solutions across different sectors globally.
- 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 teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap.
- Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers.
- Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes.
Requirements
- 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred.
- Experience in product development, delivery, and change management
- Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners.
- Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams.
- Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions.
- A proven track record of taking ownership of complex, ambiguous projects and delivering results.
- Adaptability to work across different customer environments, industries, and technical use cases.
- Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks.
- Ability to creatively map enterprise use cases and workflows to AI systems
LOCATION
This role is remote-first, so it can be executed from anywhere in Colombia, with a preference of Bogota. Expect regular travel for customer onsite. Fluency in English and Spanish and a deep understanding of the regional and cultural nuances is required.
#LI-Remote
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.
Develop and execute territory account plans to achieve quota responsibilities for your team and the region through direct selling and partners.Â. Drive a best-in-class sales methodology framework which includes rigorous qualification and navigation of complex Federal deals.Â.
REMOTE / FREELANCE 🎮 Ищем фрилансеров, 3D Motion Designer(middle\senior) для производства рекламных креативов 🎯 Что предстоит делать: — 3D рекламные креативы для мобильной игры. Упор на кастомный геймплей + небольшое количество катсцен, все на игровом контенте — работа над левел-дизайном, VFX, анимациями;
Location: Москва
Мы новое подразделение Сбера, занимающееся созданием инструментов и решений для внутренней безопасности с помощью AI. Наши задачи направлены на развитие AI-агентов, создание RAG, запуск локальных инстансов LLM и их файнтюнинг. Наши планы имеют широкий спектр - начиная от разработки DL-моделей для скоринга, поведенческого моделирования и заканчивая графовыми нейронками для выявления скрытых связей.
Ищем Middle/Senior Data Scientist, который будет разрабатывать AI-агентов, адаптировать LLM под специфику задач, строить RAG-системы. Если ты хочешь иметь возможность погрузиться в глубины LLM и Deep Learning, пробовать новые методы к файнтюнингу LLM, строить AI-агентов, то мы ждем тебя в нашу команду.
Обязанности
* cоздание и развитие решений с задействованием LLM-агентов (полноценные мультиагентские системы)
* cоздание RAG-систем
* разработка и поддержка ML/DL моделей, включая их обновление и адаптацию к меняющимся условиям и требованиям бизнеса
* дообучение и адаптация открытых LLM
* создание системы мониторинга качества моделей и контроль их эффективности.
Требования
* оконченное высшее образование
* опыт работы от пяти лет в коммерческой разработке на позиции Data Scientist / ML Engineer с подтверждённым опытом вывода моделей в продакшен
* понимание математики классического ML и архитектуры нейросетей (PyTorch/TF)
* уверенное понимание архитектуры трансформеров, опыт работы с LLM API и локальными моделями через PyTorch / Hugging Face
* уверенный Python (чистый код, ООП, знание numpy/pandas/scikit-learn) и понимание принципов микросервесной архитектуры (Asyncio, FastAPI)
* опыт создания агентов на LangChain/LangGraph
* знание основных концепций промпт-инжиниринга и использования Structured Outputs и Function Calling
* опыт проектирования и развития RAG-систем (Multi-stage Retrieval, Dense + Sparse/BM25, Rerankers, Chunking strategies)
* опыт развертывания локальных open-source моделей (Llama, Mistral, Qwen, DeepSeek и др.) в продакшн-окружении и настройки высокопроизводительного инференса LLM с помощью vLLM
* опыт проведения Fine-tuning LLM-моделей (PEFT, LoRA/QLoRA)
* настройка мониторинга data drift и model decay, а также валидация моделей
* навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом
* опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов
* инструментальное владение AI для анализа, генерации и автоматизации.
Условия
* инновационные, амбициозные проекты и задачи, которые развивают: всегда есть возможность прокачать свои навыки в работе и профессионально расти
* среда для обмена знаниями – высокая экспертиза внутри команды;
* сплоченная команда, работающая над общими задачами и умеющая хорошо отдыхать
* нашу культуру создают сами сотрудники – мы их слышим и помогаем создавать и поддерживать корпоративные комьюнити по интересам
* стабильная заработная плата и годовой бонус
* полностью офисный формат работы. Современный IT-офис вблизи Москва-Сити в пяти минутах от метро "Кутузовская", с фитнес залом
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* подписка Прайм с возможностью совместного использования на трёх близких
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* вознаграждение за рекомендацию друзей в команду Сбера.
What you’ll do: Own backend architecture across two large-scale microservice platforms (30+ and 25+ services) — from system design and API contracts to data flow and inter-service communication. Drive performance and scalability — identify bottlenecks, design caching strategies, optimize database queries, and ensure the platform handles growing load.
Location: Tel Aviv, Israel
Workplace: hybrid
About Spin.AI
Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud.
SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/
Position Summary:
Spin.AI is looking for a Director of Product Management to lead our security product portfolio and take it to the next level. You will own two strategic, fast-growing products - our Browser Security solution and our SaaS DLP solution - and be the driving force behind their success in the market.
This is an end-to-end leadership role: you will define the product vision, own the roadmap, stay ahead of the competitive landscape, and work hand-in-hand with engineering teams to turn strategy into products customers love. Above all, you will lead these products to scale - growing adoption, revenue and market position.
If you are a business-minded product leader with deep security expertise who thrives in a fast-paced, high-growth environment, we want to talk to you.
Role and Responsibilities:
Product Vision, Strategy and Roadmap:
Own the product vision and long-term strategy, aligned with market trends, customer needs, and business objectives.
Conduct market research, competitive analysis, and customer interviews to identify product opportunities and define the product roadmap.
Collaborate with the executive team to prioritize features, releases, and investment areas.
Customer Insight and Requirements:
Work closely with customers, sales, marketing, and other stakeholders to understand their needs, pain points, and desired outcomes.
Translate customer requirements into detailed product requirements, user stories, and acceptance criteria.
Collaborate with engineering and design teams to ensure the feasibility and usability of product features.
Product Development and Execution:
Collaborate with cross-functional teams, including engineering, design, quality assurance, and operations, to develop and deliver high-quality products on time and within budget.
Lead agile product development processes, including sprint planning, backlog grooming, and release management.
Conduct regular product reviews, track progress, and address any issues or obstacles that arise during the development cycle.
Market and Competitive Analysis:
Stay up-to-date with cybersecurity industry trends, market dynamics, and competitive landscape.
Conduct competitive analysis to identify differentiation opportunities and inform product positioning and pricing strategies.
Monitor customer feedback and market demands to continuously improve and evolve the product offerings.
Product Launch and Go-to-Market:
Partner with marketing and sales on go-to-market strategy, including positioning, messaging, pricing and sales enablement.
Support product launches, customer demonstrations, webinars and training sessions.
Product Performance and Optimization:
Monitor product performance and key metrics, analyze user feedback, and identify areas for improvement and optimization.
Collaborate with customer success teams to gather customer insights, track product usage, and gather feedback for future iterations.
Work with engineering teams to prioritize and address bug fixes, enhancements, and feature requests.
Qualifications:
7+ years of experience in product management roles at security companies.
Proven experience leading a Browser Security product.
At least one role leading a product at a fast-growing startup.
Experience leading the integration of multiple products into a unified platform or offering - a strong plus.
Strong understanding of cybersecurity concepts, technologies and market trends, familiarity with DLP and SaaS security - a strong plus.
Very strong business orientation - the ability to connect product decisions to revenue, growth and customer value.
Excellent analytical and problem-solving skills, with the ability to translate complex technical concepts into user-friendly solutions.
Track record of working closely with engineering teams and delivering high-quality products on time.
Strong leadership, collaboration and communication skills, with the ability to influence executives and cross-functional teams.
Familiarity with agile development methodologies and product management best practices and tools.
Bachelor’s degree in computer science, engineering, business or a related field (or equivalent experience). MBA preferred.
Why join Spin.AI?
This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years.
Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills.
EEO Statement
Equal Opportunity Employer
Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
View The EEO is the Law poster and its supplement.
Disability Accommodation
For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via shushan@spin.ai.
Own the technical strategy and long-term architecture for Smartsheet’s financial systems ecosystem across ERP, procurement, financial planning, payments, billing, tax, revenue processes, integrations, data, automation, and AI.
Directly manage and nurture a named account list and develop territory and account plans for winning and expanding business with the Commercial segment. Own the renewal and retention strategy for your territory, proactively identifying and mitigating churn risk.
You will be responsible for understanding and solving customer pain points through a unique value proposition, focusing on high-impact growth within your territory. By educating key decision-makers on inspiring technology, you will drive the mission forward and ensure customer success.
Требования:
— более 5 лет опыта в области HSE
— 2-3 года на позиции супервайзера/суперинтенданта по строительству лесов
— опыт работы в нефтегазовой отрасли и строительных проектах
— опыт контроля монтажа, модификации и демонтажа лесов
— глубокие знания стандартов безопасности лесов и требований по работе на высоте
— опыт инспекции, маркировки и сертификации лесов
— способность руководить командами и субподрядчиками по лесам
— знание требований PTW, WRP и HSE
— наличие соответствующих сертификатов компетентности/обучения по лесам
— знание английского и казахского языков
— высшее образование и не менее 5 лет профессионального опыта в строительной отрасли.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
Sentry’s AI capabilities span infrastructure, product features, design, and data ingestion. We’re hiring a Senior Technical Program Manager to connect this work across teams, helping them make decisions, manage dependencies, and deliver a cohesive product experience.
Our AI/ML team is building a modular platform for model routing, agent execution, and evaluations. Issues Platform owns customer-facing experiences such as issue details, activity feeds, and notifications. Product Design shapes how these experiences work together, while Ingest provides the underlying data pipeline.
You’ll lead the program across these teams: clarifying ownership, sequencing work, managing integration risks, and coordinating release readiness. You’ll partner with team leads to connect their plans and resolve gaps between roadmaps.
You’ll also improve how engineering changes reach teams across Engineering, Product, and Design, along with Documentation and Support. Your goal is a lightweight process giving partners the information and preparation time they need before changes reach customers.
You’ll join an early TPM team and help shape how the function works at Sentry. Success means helping teams deliver together through technical judgment, clear communication, and practical coordination.
This role is based in San Francisco, with three days per week in the office.
WHAT YOU’LL DO
AI DELIVERY
- Connect roadmaps across AI/ML, Issues Platform, Product Design, and Ingest into a shared delivery plan.
- Sequence platform capabilities, product features, and design work so teams address dependencies before they delay a release.
- Help teams assign accountable owners, resolve open decisions, and communicate commitments.
- Partner with engineering and product owners to define release readiness, including evaluation results, staged rollouts, eligibility, and access requirements.
- Bring ingestion and reliability dependencies into roadmap discussions so teams understand the risks behind delivery commitments.
- Drive risk mitigation with clear owners, contingency plans, and timely escalation.
- Give teams and leadership an accurate view of progress, dependencies, decisions, and risks.
CHANGE READINESS
- Build a lightweight process for identifying changes affecting other teams, notifying partners, and confirming readiness before release.
- Include documentation and support preparation in delivery planning, starting with AI features.
- Establish concise updates showing what is changing, when, and who needs to act.
- Review communication and readiness gaps with the teams involved, then improve the process.
- Keep the effort proportional to the change and remove steps which don’t improve delivery.
HOW YOU WORK
- You help teams bring structure to complex programs with unclear ownership or no established process.
- You listen to different perspectives, make tradeoffs visible, and help teams resolve competing priorities.
- You engage with technical details and connect architectural decisions to delivery risks and product outcomes.
- You raise risks early, propose practical responses, and follow through.
- You adapt processes to teams’ needs and simplify them when the value is unclear.
- You respect team ownership while helping cross-team decisions reach resolution.
- You share information clearly so partners have the context they need to contribute.
QUALIFICATIONS
- Experience leading complex technical programs from problem definition through launch.
- Experience coordinating delivery across multiple engineering teams with separate roadmaps and leadership.
- Technical understanding to review design proposals, discuss architectural tradeoffs with engineers, and identify integration risks and downstream effects.
- A track record of managing dependencies, driving risk mitigation, and adapting plans as conditions change.
- Experience creating or improving processes which teams adopted and sustained.
- Clear written communication, including program updates, decision records, and escalations with explicit next steps.
- Experience building alignment across engineering, product, and design through sound judgment and follow-through.
Relevant experience might come from technical program management, software engineering, or another role involving ownership of cross-team technical delivery.
PREFERRED EXPERIENCE
- Shipping AI/ML or LLM-backed features, including evaluations, quality checks, and staged rollouts.
- Partnering with product design to coordinate design and engineering work.
- Working with data pipelines, ingestion, or streaming infrastructure.
- Building developer tools or technical B2B products.
- Improving release communication across engineering, documentation, and support.
Experience in every preferred area is not required.
TEAM PRINCIPLES
- Make work visible. Keep plans, ownership, decisions, and next steps clear and current.
- Raise risks early. Give teams time to respond before delivery is affected.
- Reduce friction. Build practices which help teams get work done.
- Respect ownership. Support informed decisions and help accountable owners resolve open questions.
- Keep partners informed. Communicate changes to scope, timing, and readiness before they affect others.
The base salary range Sentry reasonably expects to pay for this position is $150,000 to $240,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Makkah, Saudi Arabia; Riyadh, Saudi Arabia; Jeddah, Saudi Arabia; Dammam, Saudi Arabia
Job Description
The
Turbine & Precision Equipment Rigger
is responsible for executing highly critical, heavy, and precision lifting operations during power plant turbine outages and industrial maintenance shutdowns. This role demands exceptional technical expertise to safely handle multi-million dollar rotating equipment, gas/steam turbine components, and delicate machinery within tightly restricted spaces. The successful candidate must strictly adhere to engineered lifting plans, maintain zero-compromise safety standards, and display flawless precision under fast-paced outage timelines.
Key Responsibilities
Rigging Execution:
Safely attach, lift, guide, and position heavy turbine components and associated mechanical equipment in strict compliance with
approved, engineered lifting plans
.
Pre-Lift Assessment:
Thoroughly review critical technical parameters prior to every lift, including total load weight,
exact center of gravity
, designated lifting points, travel path clearances, and final landing arrangements.
Equipment Management:
Select, calculate, and inspect specialized rigging hardware such as synthetic/wire-rope slings, shackles,
spreader beams
, chain blocks, and specialized lifting accessories.
Compliance & Safety Verification:
Audit all lifting tackle before use to verify valid identification tags, current inspection status, and
Working Load Limits (WLL)
.
Precision Maneuvering:
Expertly guide immense structural loads through highly restricted areas and congested plant environments utilizing controlled mechanical methods and precise signaling.
Requirements
Experience:
Minimum of
3 to 5 years of proven experience
as an industrial rigger, with a strong preference for candidates who have completed major
turbine outages, power plant shutdowns, or heavy mechanical maintenance
.
Technical Skills:
Comprehensive knowledge of rigging mathematics, center-of-gravity calculations, crane signals, and rigging hardware capacities.
Certifications:
Valid third-party rigging certifications (such as
TUV, Bureau Veritas, Aramco, or equivalents
) are highly preferred.
Physical Capability:
Ability to work in confined spaces, at heights, and handle the physical demands of 12-hour shifts typical during emergency or scheduled outages.
Soft Skills:
Strong teamwork orientation, high attention to detail, and a strict commitment to safety protocols.
Makkah, Saudi Arabia; Riyadh, Saudi Arabia; Jeddah, Saudi Arabia; Dammam, Saudi Arabia
УдалённоmiddleПротиворечивые условия: Lastly, the provided range is the expected salary for candidates in the U.S