Location: South Africa; Egypt; Ethiopia; Morocco; Jamaica; Philippines
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Role Type: Full-time
Engagement: Independent Contractor
About the company
Our client is a fast-growing cybersecurity firm specializing in the intersection of AI governance and advanced threat protection. Operating as both a strategic partner for enterprise CISOs and a go-to-market engine for security startups, the team provides a sophisticated suite of solutions including agentic workflow security, browser-based GenAI DLP, and automated pentesting. They focus on helping organizations across the UK and Europe navigate the modern threat landscape by implementing guardrails for emerging technologies while streamlining compliance for frameworks like DORA and ISO 27001.
This innovative company bridges the gap between cutting-edge security technology and real-world enterprise needs. By vetting and deploying elite solutions—ranging from deception-based honeypots to intent-based email security—the team ensures businesses remain resilient against next-gen risks. With a high-performance culture centered on hands-on execution and technical excellence, they offer a unique environment where employees can work at the forefront of AI security and European market expansion.
Job Summary
As enterprises rush to deploy GenAI and agentic AI workflows, the need for robust security has never been higher. This company acts as the specialist bridge between cutting-edge AI security innovators and the global enterprises that need them. We are looking for a high-energy, independent Mid-Level SDR to join a growth-stage team with established processes. This is a high-volume, high-reward role designed for someone who thrives on the phones and wants to transition into a closing role within 4 to 6 months.
Key Responsibilities
Execute high-volume outbound prospecting, making 100-300 calls daily via a dedicated dialing platform.
Identify and qualify new business opportunities to maintain a target of 7 qualified meetings per week (minimum 20 completed meetings per month).
Own the front-end of the sales cycle, including lead sourcing, territory planning, and pipeline management.
Utilize LinkedIn Sales Navigator and Microsoft Office to research and engage key decision-makers in the cybersecurity and AI space.
Manage a territory independently, ensuring a consistent flow of qualified leads for the sales team.
Requirements
Experience:
Proven track record in SaaS or Tech sales.
Skills:
Expertise in lead sourcing, qualification, and territory planning.
Tools:
Mastery of Microsoft Office and LinkedIn Sales Navigator is a must.
Communication:
Fluent in English with strong verbal and written communication skills.
Driven Personality:
A self-starter who is comfortable with high-volume dialing and performance-led targets.
Nice-to-Haves
1+ year of previous SDR experience with demonstrable success metrics, ideally within the cybersecurity sector.
Familiarity with Apollo.io.
Multilingual capabilities in German, Spanish, or French.
Benefits
🌎 Fully remote role with flexible working hours
🚀 Work with high-growth international companies
🎯 Performance-based bonuses and incentives
🧠 Ongoing training, mentorship, and sales development support
Задачи:
- Пресейлы с потенциальными клиентами
- Подготовка эстимейтов и пропоузалов на скоуп работ
- Прохождение клиентских интервью для старта проектов
- Ведение технической части в проектах: помощь разработчикам в построении изначального решения
- Контроль выполнения работ инженерами и попадание в сроки в соответствии с эстимейтами
Требования:
- Опыт на позиции AI архитектора или аналогичной роли
- Широкий опыт работы с клиентами (преимущественно со стартапами)
- Опыт подготовки оценок для проектов, организация работы и контроль попадания в сроки
- Важен бекграунд в backend разработке, знание Python на уровне senior, опыт с современными библиотеками и фреймворками (особенно FastAPI), опыт проведения код-ревью
- Коммерческий опыт с GenAI, интеграции AI решений в приложения (LLM, RAG, ИИ-агенты и др.)
- Знание популярных инструментов для интеграции AI/LLM в приложение (например, Hugging Face Transformers, LangChain, OpenAI Python SDK, PydanticAI, LlamaIndex, Microsoft AutoGen, Ollama и др.)
- Знание и опыт с CI/CD, DevOps, MLOps
- Если есть экспертиза в конкретном домене в AI (Healthcare, Video, etc.), будет огромным плюсом
- Разговорный английский язык на уровне не ниже B2 (Upper-Intermediate)
- Локация кандидата должна быть вне РФ и вне РБ
Условия:
- Удалённый формат работы
- Гибкий рабочий график, фулл-тайм
- Задачи на стыке бизнеса и современных AI-технологий
- Возможность получить широкую экспертизу в разнообразных доменах бизнеса
- Влияние на развитие продуктов и на технические решения
- Заключаем договор формата b2b (с ИП, валютный расчётный счёт)
Задачи:
- Пресейлы с потенциальными клиентами
- Подготовка эстимейтов и пропоузалов на скоуп работ
- Прохождение клиентских интервью для старта проектов
- Ведение технической части в проектах: помощь разработчикам в построении изначального решения
- Контроль выполнения работ инженерами и попадание в сроки в соответствии с эстимейтами
Требования:
- Опыт на позиции AI архитектора или аналогичной роли
- Широкий опыт работы с клиентами (преимущественно со стартапами)
- Опыт подготовки оценок для проектов, организация работы и контроль попадания в сроки
- Важен бекграунд в backend разработке, знание Python на уровне senior, опыт с современными библиотеками и фреймворками (особенно FastAPI), опыт проведения код-ревью
- Коммерческий опыт с GenAI, интеграции AI решений в приложения (LLM, RAG, ИИ-агенты и др.)
- Знание популярных инструментов для интеграции AI/LLM в приложение (например, Hugging Face Transformers, LangChain, OpenAI Python SDK, PydanticAI, LlamaIndex, Microsoft AutoGen, Ollama и др.)
- Знание и опыт с CI/CD, DevOps, MLOps
- Если есть экспертиза в конкретном домене в AI (Healthcare, Video, etc.), будет огромным плюсом
- Разговорный английский язык на уровне не ниже B2 (Upper-Intermediate)
- Ваша локация должна быть вне РФ, вне РБ
Условия:
- Удалённый формат работы
- Гибкий рабочий график, фулл-тайм
- Задачи на стыке бизнеса и современных AI-технологий
- Возможность получить широкую экспертизу в разнообразных доменах бизнеса
- Влияние на развитие продуктов и на технические решения
- Дружную команду экспертов, обмен знаниями и тех.рост
- Заключаем договор формата b2b (с ИП, валютный расчётный счёт)
УдалённоГеография найма не уточнена
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Задачи:
— писать чистый, простой, поддерживаемый и тестируемый код
— проектировать, реализовывать и поддерживать облачные сервисы и API
— мониторить, устранять неполадки и отлаживать приложения
— участвовать и проводить код-ревью
— следить за новыми технологиями и фреймворками
Требования:
— степень бакалавра или магистра в области компьютерных наук, инженерии или смежных дисциплин
— глубокий опыт работы с Go
— опыт работы с другими языками программирования будет плюсом
— глубокие знания в проектировании REST-сервисов
— опыт работы с системами мониторинга, логирования и трассировки
— опыт работы с GenAi будет плюсом
— опыт работы с SQL и NoSQL базами данных
— хорошие знания лучших практик программирования и шаблонов проектирования
— опыт использования систем и инструментов для автоматизации развертывания, масштабирования и управления контейнеризованными приложениями в продакшене
— хорошее понимание алгоритмической сложности, структур данных и концепций многопоточности
— знание AWS Cloud Services будет плюсом
— интерес к бенчмаркингу и оптимизации
— опыт участия в open source проектах будет плюсом
— сильные командные навыки, ориентация на решение проблем и желание развиваться
Условия:
— привлекательный пакет вознаграждения
— интеллектуально стимулирующая рабочая среда
— постоянное личное развитие и международные возможности обучения
— привлекательный пакет релокации и поддержка для плавного переезда для вас и вашей семьи
Процесс найма:
— онлайн техническое задание
— вводный чат с рекрутером
— домашнее задание по роли
— финальное интервью
Location: Montenegro; Slovenia; Slovakia; Moldova; Romania; Poland
The position is open for a global, publicly traded AdTech market leader. The company's platforms handle over 1 trillion requests per day, operating within a highly optimized real-time cloud architecture across dozens of servers and processing terabytes of data daily.
The engineering team focuses on intense performance optimization, low-latency infrastructure, asynchronous data streaming, and cutting-edge GenAI research and development.
Salary: upto
$5,000 USD / month.
Format:
Full-time. Hybrid (Budva, Montenegro) or 100% Remote globally
Contract Type:
B2B Contract
Responsibilities
Design, scale, and maintain real-time advertising bidding systems (DSPs, RTB Exchanges, and SSP platforms).
Optimize backend services using Java (Spring Boot / WebFlux) and Go (Golang) to meet strict low-latency SLA/SLO targets.
Build and manage data-intensive architectures utilizing high-load storage solutions (Aerospike, ClickHouse) and event-driven messaging (Apache Kafka).
Participate in R&D initiatives involving GenAI, integrating Agentic AI frameworks (LangChain, LangGraph, N8N) for workflow automation and predictive analytics.
Take full ownership of features end-to-end, contributing to the frontend layer (React / TypeScript) for internal tools and dashboards when required.
Requirements
5+ years of commercial software development experience with Java as the primary language.
Deep knowledge of the Spring ecosystem (Boot, Data, MVC, Security, Cloud) and strong practical experience with reactive/asynchronous programming (Spring WebFlux / Project Reactor).
Solid understanding of distributed systems, concurrency, and performance tuning at the JVM level.
Strong verbal English skills at B2 level or higher, with the ability to explain architectural decisions and collaborate directly with a global engineering team during voice calls.
Location outside of the Russian Federation due to contractual and payment restrictions. Candidates from Belarus are eligible only if they possess an active legal entity/IP in Georgia or Europe for international payments.
Commercial programming experience or strong familiarity with Go (Golang).
Hands-on experience with high-load and Big Data tools including Apache Kafka, ClickHouse, and Aerospike.
Real-world experience or deep interest in LLMs and AI orchestration tools such as LangChain, LangGraph, or N8N.
Familiarity with frontend development using ReactJS and TypeScript.
Benefits
Opportunity to work on production infrastructure handling 1 trillion + daily requests.
Work within a team of senior engineers with direct impact on the platform's architecture.
Choice between a fully remote schedule or a hybrid format from the office in Budva, Montenegro.
Stable monthly payments in USD via international B2B contracts.
Location: Almaty, Kazakhstan
Workplace: OnSite
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHO WE ARE LOOKING FOR
Everyone at Higgsfield is an A-player. We’re looking for a Motion Designer who:
- Has exceptional taste in motion, composition, and visual storytelling.
- Can turn ideas, scripts, and concepts into polished, high-impact motion content.
- Moves fast, iterates quickly, and thrives in a high-output creative environment.
- Takes ownership of projects end-to-end and constantly raises the creative bar.
- Understands pacing, transitions, rhythm, and attention-grabbing visuals for digital platforms.
WHAT YOU WILL WORK ON
- Create motion graphics and visual assets for product marketing, social media, and brand campaigns.
- Design high-quality animations, transitions, and visual effects for short-form and long-form content.
- Collaborate closely with Creative Directors, video editors, founders, and growth teams.
- Transform product features and concepts into visually engaging motion pieces.
- Experiment with GenAI workflows to create innovative visual content faster and at higher quality.
- Optimize creative assets for engagement across YouTube, Instagram, X and other social platforms.
YOUR MUST HAVES
- Strong experience with image and video GenAI tools.
- Advanced skills in After Effects, Cinema 4D, Blender, or similar motion design software.
- Strong understanding of typography, composition, animation principles, and visual storytelling.
- Proven ability to deliver creative content end-to-end.
- Sharp sense of visual and marketing culture — able to pitch ideas that hook.
- Understanding of social media formats, trends, and audience engagement.
THE DEAL
- Competitive salary in USD.
- On-site role in our Almaty office (we will relocate you from anywhere).
- Full-time position.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHO WE ARE LOOKING FOR
Everyone at Higgsfield is an A-player. We’re looking for a Video Editor who:
- Has exceptional attention to detail and strong creative instincts.
- Can take raw footage and turn it into polished, engaging long-form content.
- Moves fast, iterates quickly, and thrives in a high-output environment.
- Takes ownership of their work end-to-end and constantly raises the bar.
- Understands pacing, storytelling, and retention, especially for YouTube.
WHAT YOU WILL WORK ON
- Edit long-form YouTube videos (product demos, explainers, educational content, storytelling formats).
- Craft compelling narratives through pacing, rhythm, and structure.
- Add motion graphics, b-roll, captions, and sound design to maximize engagement.
- Collaborate closely with Creative Directors, founders, and growth managers.
- Turn rough ideas, scripts, or screen recordings into clean, high-quality final videos.
- Optimize videos for YouTube retention, watch time, and audience engagement.
YOUR MUST HAVES
- Strong experience with image and video GenAI tools.
- Solid editing skills in Premiere Pro or DaVinci Resolve.
- Proven ability to deliver creative content end-to-end.
- Sharp sense of visual and marketing culture — able to pitch ideas that hook.
- High energy, ownership, and adaptability in a fast-paced environment.
- Understanding of social media formats, trends, and audience engagement.
THE DEAL
- Competitive salary in USD.
- On-site role in Almaty office.
- Full-time position.
Location: New York, USA; San Francisco Bay Area, USA; Los Angeles, USA
Workplace: Hybrid
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
ROLE OVERVIEW
Higgsfield AI is looking for a highly commercial, product-minded Senior Account Executive to help scale our product-led growth and enterprise expansion motion during a period of hypergrowth.
This role sits at the intersection of Product, Revenue, Customer Success, and Growth, helping convert product adoption into long-term commercial expansion across strategic accounts. You will work directly with customers already engaging with the platform to drive activation, increase product consumption, grow contract value, and identify new revenue opportunities.
We are specifically looking for someone who understands how modern PLG and usage-based software companies grow — especially within AI, GenAI, API, infrastructure, creator tooling, or credit-based product environments where expansion is driven by product usage, adoption, and customer outcomes.
The ideal candidate has experience working at a PLG-first company, a usage-based SaaS business, or a credit-based GenAI platform where revenue growth came from expanding existing customer relationships, increasing usage, and turning power users into enterprise accounts.
This is a highly cross-functional role that requires strong customer instincts, operational rigor, and comfort operating in a fast-moving startup environment.
KEY RESPONSIBILITIES
PRODUCT-LED REVENUE GROWTH
- Own commercial growth across strategic accounts, with a focus on increasing usage, expanding contracts, and growing long-term account value.
- Partner with customers already engaging with the platform to drive activation, retention, and expansion.
- Identify opportunities for increased product adoption across teams, workflows, and use cases.
- Structure pilots, proofs of concept, renewals, and expansion opportunities.
- Translate customer usage signals into actionable revenue opportunities.
CUSTOMER ENGAGEMENT & SOLUTIONS
- Lead customer discovery conversations to understand workflows, pain points, and business goals.
- Demo and iterate with customers directly in the product.
- Translate AI/GenAI capabilities into clear business value and ROI-driven outcomes.
- Act as a trusted advisor to customers across creative, marketing, growth, and operational teams.
GTM STRATEGY & SCALE
- Help refine Higgsfield’s enterprise GTM motion as the company scales.
- Partner cross-functionally with Product, Engineering, Marketing, and Leadership teams.
- Surface customer insights, product feedback, and market trends to improve adoption and expansion.
- Bring operational structure to account management, forecasting, and revenue tracking.
KNOWLEDGE, SKILLS, AND QUALIFICATIONS
- 8+ years of experience in GTM, account management, growth, customer success, enterprise sales, or solutions engineering roles.
- Strong track record of growing customer contracts within SaaS, PLG, usage-based, or AI-native companies.
- Experience at a PLG-first, API-first, or credit-based GenAI company strongly preferred.
- Experience managing expansion motions tied to product usage, credits, seats, or workflow adoption.
- Strong customer discovery, presentation, negotiation, and closing skills.
- Ability to communicate complex AI products to both technical and non-technical stakeholders.
- Highly operational and comfortable working cross-functionally in fast-paced startup environments.
- Strong analytical mindset with the ability to leverage usage data and customer insights to drive growth.
COMPENSATION & BENEFITS
Compensation & Benefits
- We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.
- Base Salary: The anticipated salary range for this role is $125,000 - $220,000 depending on experience, skills, scope, and location.
- Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth.
- Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks.
- The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team.
- Significant ownership, direct impact, and opportunities for professional growth as the company scales.
This is a fully remote role in NY or LA with occasional business travel to our San Francisco office required for team meetings, planning sessions, company events, and other in-person collaboration. If you are based in San Francisco, it is a hybrid role. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. While we work remotely, we value active communication, responsiveness, and close collaboration across teams.
Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHO WE ARE LOOKING FOR
Everyone at Higgsfield is an A-player. We’re looking for teammates who bring:
- High energy, strong commercial instincts, and flawless execution.
- Ownership and accountability to drive deals end-to-end.
- The ability to build trusted relationships with vendors, partners, and enterprise clients.
- Resilience in high-pressure situations and an always-on mindset.
- A balance of sharp analytical skills and natural people intuition.
- Hunger to win and the grit to scale a B2B SaaS business globally.
WHAT YOU WILL WORK ON
- End-to-end sales execution: identify, pitch, negotiate, and close deals with vendors and B2B partners.
- Account management: own relationships post-sale, ensuring adoption, expansion, and long-term success.
- Vendor relations: manage heavy day-to-day communication with vendors, resolving issues, negotiating terms, and ensuring smooth operations.
- Growth partnerships: work with product and leadership to identify opportunities, design tailored solutions, and drive revenue impact.
- Customer success: act as the voice of the customer internally, ensuring feedback flows into product and engineering.
- Processes at scale: build a repeatable playbook for B2B sales and account management as Higgsfield grows.
YOUR MUST HAVES
*(You don’t need to meet every single requirement to be a strong candidate — if you’re excellent in a few of these areas and eager to grow, we’d still love to hear from you.)
- Revenue track record: demonstrable history of consistently achieving and exceeding multi-million dollar revenue targets and scaling sales from early-stage to maturity.
- Proven experience in B2B SaaS sales and/or account management with measurable results.
- Experience managing vendor-heavy relationships at scale.
- Strong negotiation, presentation, and closing skills.
- Exceptional leadership, coaching, and team-building abilities.
- Deep expertise in designing and optimizing B2B sales processes.
- Strong analytical skills with the ability to leverage sales data and metrics for decision-making.
- Excellent English communication skills — both written and spoken.
- Ability to work in a high-growth startup environment.
NICE TO HAVES
- Big3/Big4 consulting experience or equivalent top-tier professional background is a strong plus.
- Experience selling AI, GenAI, or ML products.
- Experience in early-stage, fast-scaling startups.
- Existing network of enterprise clients or vendors in SaaS/AI ecosystems.
- Exposure to upselling, cross-selling, and customer success strategies.
THE DEAL
- On-site role in Almaty / Remote (with global client/vendor interaction).
- Full-time position.
- Competitive salary (USD)
- Opportunity to become the cornerstone of Higgsfield’s sales and account management engine.
Location: Paris
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Job Description
About the role:
As a Data Scientist at Checkout.com http://Checkout.com, you will be embedded within the Identity Verification Team, a critical function focused on building innovative products to verify the identities of individuals and businesses globally.
In this high-impact role, you will be instrumental in the development of next-generation verification features, deploying intelligent, production-ready solutions by leveraging state-of-the-art Generative AI and Computer Vision technologies.
You will be expected to work closely and collaboratively with Product, Development, and Data teams to ensure successful, end-to-end delivery of these solutions, while constantly researching and integrating emerging technologies. A core part of your contribution will be safeguarding data integrity and ensuring compliance, and translating complex data insights into clear, actionable recommendations for stakeholders to support informed, data-driven decision-making across Checkout.com http://Checkout.com.
What you will be doing:
- Drive the design and development of innovative GenAI and Computer Vision-based approaches to solve complex, real-world identity verification challenges.
- Execute deep-dive exploratory data analysis (EDA) and technical discoveries to generate meaningful, novel insights that shape product direction.
- Design, implement, and analyze rigorous experiments and A/B tests to quantitatively measure model performance and directly guide iterative improvements.
- Take full ownership of new model development, managing the end-to-end lifecycle from initial conceptualization and design through to deployment and monitoring in a production environment.
- Actively collaborate with cross-functional teams (Engineering, Product, Risk) across the company to maximize the positive impact of data science initiatives.
- Champion a culture of technical excellence, cross-team learning, and knowledge sharing within the Data organization.
About You:
- Over 5 years of applied experience as a Data Scientist in a data-intensive environment, working with complex, large-scale, and diversified data sets.
- Expert-level Python programming knowledge and demonstrable experience deploying models in a high-traffic production environment.
- Proven experience in GenAI / Computer Vision model experimentation, including the creation and implementation of deep-learning models and scalable GenAI pipelines.
- Exceptional communication skills, with the ability to articulate technical concepts and complex findings clearly to both technical and non-technical audiences.
- Parlez-vous français? Excellent French language skills (written and spoken) are a non-negotiable for this role. You’ll be diving straight into a French-speaking environment from day one.
- A proactive mindset: the drive to challenge existing processes and decisions to continuously improve efficiency and outcomes for everyone.
- Highly curious, able to take initiative, and work with a high degree of autonomy.
- Strong commitment to a data-driven approach, consistently defining clear success metrics and rigorously measuring progress against them.
- Flexible and adaptable, with a strong willingness to rapidly learn and master new technologies and domains.
Bonus Points:
- Solid theoretical and practical knowledge of Computer Vision, Machine Learning, and Generative AI principles.
- Direct experience solving real-world business problems through innovative, data-driven approaches.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Remote - US
About Backblaze
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a
Staff Product Manager
to join our team!
About the Role:
Backblaze’s B2 cloud object storage offers multi-exabyte, S3-compatible, globally available object storage that unlocks app builder innovation across AI neoclouds and traditional hyperscalers at a fraction of the cost from traditional cloud infrastructure hyperscalers. The Staff Product Manager for B2 will work closely with key stakeholders to understand the evolution of cloud storage and the customer problems in the space and determine product strategies and roadmap to address those problems. He or she will work independently to lead the efforts for new feature discovery and delivery and improvements to execute on those strategies. Understanding customer problems through interviews and market research and translating them into requirements is critical.
What You’ll Do:
Drive B2 product strategy and roadmap development through to delivery execution.
Lead the end-to-end product development lifecycle from discovery through delivery in feature development.
Gather and synthesize inputs for discovery and prioritization from internal functions, customers, and partners across the full spectrum of R&D development of feature capabilities, user experience challenges, cost optimization, and technical debt.
Translate complex customer challenges into clear, concise and actionable product requirements in collaboration with Design, Engineering and GTM teams.
Collaborate with Product Marketing to launch and drive adoption of new products and features. Act as a subject matter expert and evangelist for Backblazes solutions solutions, presenting to customers, prospects, partners, and to internal teams.
Establish and track key product metrics (KPIs), using data to guide iteration and growth decisions.
Maintain a deep understanding of the latest advancements in the object storage market across its application in customer use cases and competitive offerings to identify new opportunities and ensure Backblaze’s market leadership position.
The Right Fit:
6+ years of Product Management experience in tech businesses, preferably on IaaS and/or SaaS offerings
A proven track record of successfully launching and scaling technical products / platforms in high-growth businesses involving in-depth cross-functional collaboration and leadership across R&D and go-to-market functions
Strong grasp of cloud architecture, APIs, and security and compliance
Proven success in owning product roadmaps, defining MVPs, and driving the complete product life cycle
Strategic thinker who can translate market trends, customer needs, and technical innovations into a clear product vision and actionable roadmap
Deep empathy for customers / users in gathering and synthesizing input and a passion for solving their most pressing security challenges.
Outstanding communication and leadership skills with a collaborative and team-oriented approach to identifying problems, determining potential solutions, and building consensus around your vision with internal and external stakeholders.
Excellent written and verbal communication skills
Experience applying data and metrics to inform product decisions and measure success.
Bonus Point For:
Expertise in cloud storage and computing from hyperscale and neocloud providers, such as AWS, Azure, GCP, GPU clouds, CDNs, etc.
Bachelor's degree in Computer Science, Engineering, or related field
MBA degree
Application development programming experience
Expertise in applying GenAI in solution prototyping and agentic workflow development
Backblaze Perks
RSU grants for full-time employees.
Annual company bonus plan.
Healthcare for family, including dental and vision.
401K.
ESPP program.
Flexible vacation policy.
Maternity and paternity leave.
MacBook Pro for work, plus a generous stipend to personalize your workstation.
Childcare bonus (human children only).
Fertility treatment and support.
Learning and development program.
Commuter benefits.
A culture that supports a healthy work-life balance.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses or credentials, and may vary from the amounts listed below.
The expected salary range for this role is $170,000 - $215,000.
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing.
We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our
Backblaze Employee Privacy Notice.
Location: London
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
- UK
WHAT YOU’LL DO:
- Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
- Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
- Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
- Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
- Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
- Negotiate pricing and deal terms and work with legal to redline contracts
- Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
- Help define and iterate on our sales playbook - your input will help shape our go to market strategies
- Native French Speaker
How to be successful in this role:
- 5+ years of experience selling complex software to enterprise customers
- A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
- Excellent communication and storytelling skills
- Technical acumen with the ability to establish credibility with technical decision makers.
- You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
- Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
- Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
- We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
- Annual salary range: $225,000-$350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Portuguese (Brazil) proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Portuguese (Portugal) language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Turkish language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Spanish language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level German language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate.
This is not a traditional annotation role.
You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines.
We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders.
Project Details
Job Title: Data Labeling Associate
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $34/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement.
What You’ll Do
Evaluate AI model outputs and provide structured, high-quality feedback
Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
Contribute to improving evaluation frameworks, not just executing them
Identify trends in model performance and communicate insights clearly
Participate in team discussions, calibrations, and stakeholder syncs
Partner with leads and cross-functional teams to refine quality standards
Document findings in a clear, concise, and actionable way
What We’re Looking For
Native-level Italian language proficiency
and a
university degree
(Bachelor’s or higher).
B2 or superior level of English.
1–2 years of professional writing experience with strong, structured writing skills
Ability to apply complex writing rules and guidelines consistently
Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience
Strong critical thinking and attention to detail
Ability to make sound judgment calls in ambiguous situations
Naturally curious about AI, technology, and how systems behave
Comfortable speaking up, asking questions, and contributing ideas
Strong written and verbal communication skills
Ability to stay consistent while working with evolving guidelines
Experience in data quality, QA, annotation, or analysis is helpful — but not required
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
Unique Campus Features: Some locations include roof-top nature parks
Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
УдалённоseniorПротиворечивые условия: Candidates from Belarus are eligible only if they possess an active legal entity/IP in Georgia or Europe for international payments
ГибридseniorNew York, USA; San Francisco Bay Area, USA; Los Angeles, USA; Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone
ОфисAlmaty, Kazakhstan
ОфисseniorParis
УдалённоRemote - US
ОфисLondon
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin