Location: USA (Remote); Canada (Remote)
Workplace: Remote
Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value.
Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact.
We’re looking for a Senior Security Engineer to help protect the Sui ecosystem. You’ll uncover vulnerabilities, build monitoring tools, and assess economic risk across DeFi protocols. Working closely with external protocol teams and Mysten’s own DeFi products, including DeepBook, you’ll help address risks before they become incidents and strengthen security across the ecosystem
Responsibilities
- Build and run continuous monitoring of the Sui DeFi ecosystem for security and economic risk: oracle issues, misconfigurations/bad economic parameters, solvency and bad-debt exposure under price shocks, liquidation capacity against on-chain liquidity depth, accounting-versus-positions reconciliation, invariants.
- Extend security team tooling, both precise static analysis tooling and proprietary agent skills.
- Measure and drive compliance with the DeFi security recommendations across supported protocols: run the recurring compliance cycle, fill the protocol report card, validate security claims (audits, custody, upgrade governance, oracle dependencies) against on-chain reality, track remediation commitments, and escalate when a protocol regresses or fails to disclose an incident. Partner with the ecosystem and finance owners of the process.
- Hunt for critical vulnerabilities in the highest-TVL Sui protocols and get them fixed before they are exploited: full-package audits, variant analysis across forks, pre-execution review of multisig upgrade payloads, and forensics after incidents anywhere in the ecosystem.
- Be the security team's point of contact for external DeFi teams and for Mysten's own DeFi products such as DeepBook: due diligence, incident coordination, and post-mortems that feed back into the recommendations and the monitors.
- Write it down: findings, reports, and runbooks that a protocol engineer can act on and a non-technical stakeholder can understand, with every claim traceable to bytecode, chain state, or data.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 3+ years of hands-on experience in security engineering, smart contract security, or DeFi risk engineering, with a track record of building tools that ran in production and of finding real vulnerabilities (audit findings, bug bounty reports, published research, or incident work).
- Strong understanding of DeFi mechanics and their failure modes: lending markets (LTV, liquidation thresholds and bonuses, close factors, bad debt), AMMs and concentrated liquidity, perpetuals, liquid staking, oracles (staleness, confidence, TWAP, multi-source aggregation), flash loans, and MEV.
- Proficiency in TypeScript and Python, and comfort with Rust. Ability to write SQL over large datasets and to work with blockchain indexers and data warehouses.
- Experience reading smart contract code at source or the bytecode or disassembly level, or evident ability to learn it quickly. Move experience is a plus, not a requirement; Solidity or Rust smart contract experience transfers.
- Rigor: you verify claims against bytecode and chain state, build known-clean checks into your tools, and say what you did not verify.
- Strong written and verbal communication, including the ability to influence external teams you have no formal authority over
- Interest in the web3 space is required.
Preferred Qualifications
- Sui and Move experience: the object and capability model, package upgrades and version gates, programmable transaction blocks, the Sui GraphQL and gRPC APIs.
- Knowledge of the recent DeFi exploit history on Sui and other chains: named incidents, oracle compromises, and the defect classes behind them.
- Experience building analysis or monitoring tools with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling must do the work.
- Static or dynamic program analysis experience: taint analysis, call graphs, symbolic execution, fuzzing, formal verification.
- Quantitative or economic modeling experience: stress testing, liquidity modeling, risk parameters for lending markets.
- Publications, conference talks, CVEs, or bug bounty rankings.
Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information.
Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers.
To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!
Location: Remote; Seattle, WA; London; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Open to hiring remote across North America and London — we also have offices in NYC, San Francisco, Seattle, and London.
We're building a tool that makes content creation easy and accessible for all types of creatives. Our users love it. Runway has an actively engaged and growing community of passionate artists and creators worldwide. And we're scaling the systems behind our support team so we can keep delivering delightful experiences as that community grows.
We're looking for a Support Systems Engineer who ships production code, not tickets and specs: someone who takes a fix from proposal to merged PR themselves. This role reports directly to the Head of Customer Experience.
WHAT YOU’LL DO
- Own the AI support agent, our ticketing system and other Support tools end to end: authentication (JWT), response logic, routing, escalation paths and tone, tested in staging before it sees live traffic
- Ship daily product changes that remove ticket volume. Recent example: extending automatic refund eligibility to one-click credit purchases, accidental upgrades and month-based proration on annual terms
- Build and maintain internal CX tooling as real software, not one-offs: scripts, jobs, dashboards, admin surfaces
- Run QA and evals with real test suites and pass/fail rubrics, plus monitoring and alerts for outages, bugs and volume spikes
- Own releases: staged rollouts, a regression suite before every ship, clear rollback criteria, a writeup when something reaches production
- Build the CX reporting the org runs on: volume, deflection, CSAT, reply and resolution time, escalation accuracy, agent spend. You own the correctness and availability of the queries.
- Build and stage the guardrails on refunds, account changes and anything touching money or PII, including the audit trail
- Keep the knowledge base accurate and structured for the agent to parse, and manage the handoff into the ticketing system
- Keep the CX roadmap and the coverage model current, sequenced against priorities set by the Head of CX, so gaps show up before they bite
- Run the day-to-day with our AI platform vendor: weekly working session, joint roadmap, issues filed with reproductions
- Carry signal across teams: Product and Engineering on bugs and rollouts, Customer Education on self-serve, community on Discord and the forums, GTM and Analytics on routing and reporting
WHAT YOU’LL NEED
- 5+ years in Customer Experience, Support Engineering or Support Operations, with real time spent writing code
- You ship production code in codebases you didn't write: read TypeScript, trace logic through someone else's service, put up a PR that survives review. Our stack is TypeScript and Node.js on AWS
- Hands-on experience building and tuning AI or LLM-powered support workflows: prompt and context engineering, routing, escalation design, evals
- SQL experience. You own the reporting, so you shouldn't be waiting on Analytics for it
- Code-level experience with a billing or payments API: invoices, prorations, refunds. A large share of consumer tickets live here
- Git, PR review, CI, staging and feature flags as your default way of working
- Real QA and eval experience: you can define rubrics, build test suites and calibrate against what good looks like
- Judgment about where a fix belongs, in code, in the agent or in the knowledge base
- A track record carrying signal between support, product and other functions and turning it into action
- Comfort managing your own work in a fast-moving environment, high ownership and high autonomy
- Genuine interest in AI, creative tools or both
WHAT SETS YOU APART
The most successful person in this role treats the agent and the systems around it like a product they own. They watch where it fails, ship the fix and check whether it worked. They build reporting people actually use. And they show up with improvements no one asked for yet.
FOR YOUR APPLICATION
During our interview process, you'll have several chances to get acquainted with the Runway product and use all the features our team has built, and that starts now. As part of your application, instead of a cover letter, we ask that you try out the Runway product, specifically build a custom workflow.
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Developer Advocate at GitLab, you'll help technical audiences understand and use our intelligent orchestration platform where teams and their AI agents ship secure software faster. You'll go deep on the product, especially GitLab Duo Agent Platform and our newer capabilities, and continuously discover real-world workflows that teams care about. You'll turn that hands-on knowledge into demos, blog posts, videos, and presentations, and bring what you learn from customers and the developer community back to GitLab.
This role focuses on showing the product in action and building relationships with customers and the community. You'll help cover events and work across U.S. and Canadian time zones.
What you'll do
Deeply understand GitLab's platform, especially our AI agent capabilities, and continuously find productive, real-world use cases worth showing.
Create product content, including videos, blog posts, presentations, and social clips that show key use cases for GitLab in the user interface and terminal.
Produce video content end to end: script, record, and edit product walkthroughs and demos, and collaborate with GitLab's video team on longer or higher-production pieces.
Deliver product demos and participate in analyst briefings.
Engage with customers through webinars, customer meetings, and other conversations.
Participate in the developer community by engaging on the GitLab forum and Discord, following the conversations happening on social platforms, in newsletters, and at events, and making sure GitLab has a voice in the ones that matter.
Answer technical questions that come through the sales team, and partner with support, sales, and product on developer-facing educational content.
Use hands-on product experience to share feedback with product teams and test new features.
Contribute to technical research and analysis of the developer tools landscape.
Travel requirement up to 20% for events and customer meetings.
What you'll bring
Hands-on technical experience. You understand how software gets built, with a focus on everything that happens after code is written, and can talk about it credibly with engineers.
Understanding of artificial intelligence and its use in software development, from coding all the way to production. You have built and operated agentic systems and infrastructure.
The ability to explain technical products clearly. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced.
Fluency in developer social platforms. You know what's interesting to the people we're trying to reach and can participate in the conversation with credibility.
Curiosity and self-direction. You're already finding the next thing worth talking about, following the right people, and noticing opportunities.
Experience engaging with customers, developers, or technical communities.
Ability to work independently and collaborate across sales, engineering, product, and other teams.
About the team
The Developer Advocacy team creates content that shows GitLab in use, engages with customers and the developer community, and brings hands-on product feedback to GitLab teams. The team also contributes technical research and analysis, while partnering with other groups to share its findings.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$115,200
—
$194,400 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Consumer Trading is a full-stack team behind the Consumer experience in Kraken mobile and web applications. Our flagship product allows our clients to instantly buy, sell, convert any combination of stocks, cryptocurrencies and cash. We are constantly working on extending the product suite with new features and improvements.
THE OPPORTUNITY
- Own the connective tissue between marketing and product at Kraken Consumer — a remit with real scope to shape how millions of people discover and return to our products.
- Build something from the ground up: the roadmap, the intake model and the standards for how marketing and product work together are all yours to define.
- Sit at the centre of the acquisition funnel, where small improvements in conversion compound into meaningful growth.
- Unlock new acquisition channels by building the product surfaces they depend on — paid social, search, affiliates and offline campaigns.
- Shape a fast-growing mobile acquisition motion, including in-product social, creator partnerships, community and friend-referral mechanics.
- Own both halves of the lifecycle: bringing new users in, and giving existing users compelling reasons to come back.
- Work in one of the most competitive corners of consumer fintech, where conversion craft and product quality genuinely decide who wins.
WHAT YOU BRING
- Own the marketing product roadmap end to end, and build the process that turns campaign ideas into shipped product work.
- Design and launch tailored campaign experiences — the in-app and web journeys users land in from push, email, social and paid.
- Raise the bar on lifecycle messaging so push and email feel useful rather than noisy, and convert accordingly.
- Own the incentives layer for new and returning users: offers, referral mechanics, recurring deposits and earn-led campaigns.
- Apply user psychology and sharp UX thinking to find where the funnel leaks, then run the experiments that close the gaps.
- Improve landing page and search performance, and build the product foundations that make paid and offline channels measurable and worth the spend.
- Partner with marketing, design, engineering and data as the single point of ownership for growth enablement.
- Define the acquisition and reactivation metrics that matter, and report on them honestly — including when an experiment doesn't land.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Consumer Trading is a full-stack team behind the Consumer experience in Kraken mobile and web applications. Our flagship product allows our clients to instantly buy, sell, convert any combination of stocks, cryptocurrencies and cash. We are constantly working on extending the product suite with new features and improvements.
THE OPPORTUNITY
- Own the connective tissue between marketing and product at Kraken Consumer — a remit with real scope to shape how millions of people discover and return to our products.
- Build something from the ground up: the roadmap, the intake model and the standards for how marketing and product work together are all yours to define.
- Sit at the centre of the acquisition funnel, where small improvements in conversion compound into meaningful growth.
- Unlock new acquisition channels by building the product surfaces they depend on — paid social, search, affiliates and offline campaigns.
- Shape a fast-growing mobile acquisition motion, including in-product social, creator partnerships, community and friend-referral mechanics.
- Own both halves of the lifecycle: bringing new users in, and giving existing users compelling reasons to come back.
- Work in one of the most competitive corners of consumer fintech, where conversion craft and product quality genuinely decide who wins.
WHAT YOU BRING
- Own the marketing product roadmap end to end, and build the process that turns campaign ideas into shipped product work.
- Design and launch tailored campaign experiences — the in-app and web journeys users land in from push, email, social and paid.
- Raise the bar on lifecycle messaging so push and email feel useful rather than noisy, and convert accordingly.
- Own the incentives layer for new and returning users: offers, referral mechanics, recurring deposits and earn-led campaigns.
- Apply user psychology and sharp UX thinking to find where the funnel leaks, then run the experiments that close the gaps.
- Improve landing page and search performance, and build the product foundations that make paid and offline channels measurable and worth the spend.
- Partner with marketing, design, engineering and data as the single point of ownership for growth enablement.
- Define the acquisition and reactivation metrics that matter, and report on them honestly — including when an experiment doesn't land.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: San Francisco, CA • New York, NY
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We are looking for Data Engineering interns who are excited to help scale the systems and pipelines that power decision-making at Figma. As an intern on our data team, you will partner with engineers and analysts to design and build reliable datasets, ensure data quality, and make Figma's data more accessible across the company.
This internship will be based out of our San Francisco or New York Hub.
What you'll do at Figma:
Build, test, and document data pipelines that bring product or business data into Figma’s data warehouse
Help design foundational datasets that are trusted, well-documented, and easy to use
Optimize pipelines for performance and scalability as Figma grows
Partner with cross-functional teammates to understand data needs and deliver solutions
Contribute to the tools and practices that make working with data at Figma easier
With support from a manager and mentor, you’ll own a scoped project from problem definition through implementation, testing, documentation, and sharing the results.
Some projects you could work on:
Develop new ETL jobs to integrate product or business data into our warehouse
Improve the performance and reliability of core pipelines
Build reusable datasets that support experimentation, product and business analytics, or cross-functional stakeholders
Document and simplify complex data workflows for broader use
We'd love to hear from you if you have:
Experience coding in Python or a similar language and writing SQL queries
Experience building or working with data pipelines, ETL, or large datasets
Curiosity about how data systems work and interest in making them more scalable and reliable
Strong communication and collaboration skills
Excitement to learn, get feedback, and grow as a data engineer
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below. Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future.
Internship
$46
—
$46 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Staff Software Engineer (Commercial Platform)
- Location: Espoo, Finland
- Department: Business Automation
- Reports to: Senior Engineering Manager
- Employment type: Permanent
- Workplace model: Hybrid, 3 days a week at the office
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
As a Staff Software Engineer, you will own the architecture behind how customers discover, order, receive and pay for ICEYE's SAR imagery and monitoring insights.. You will decide how several existing backend systems become one platform, and you will see that migration through to production.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Build the platform at the heart of ICEYE's data business: it's how customers buy and receive our imagery and insights, and it will drive the Data business's revenue for years to come.
- Own the technical architecture and migration plan for bringing several existing backend systems together into one unified platform behind ICEYE's monitoring intelligence products.
- Make the key architecture and data-model decisions and hands-on drive them through execution across multiple engineering teams.
- Deliver the platform's first production milestone together with the team within the first quarter of 2027. Then lead the migration of the remaining live products onto it without disrupting customers.
- Set the technical standards other engineers build against as the platform consolidation continues.
- Bring a point of view on where AI-assisted engineering practices genuinely help the team, and help others apply them.
- Partner directly with product and engineering leadership to keep the migration aligned as priorities evolve.
WHAT WE'RE LOOKING FOR
- Backend production engineering experience in Go, or deep enough backend expertise in a similar language to ramp quickly.
- Hands-on experience with PostgreSQL and event-driven, message-based architectures.
- Production experience with a major cloud provider (AWS preferred).
- Practical experience with observability tooling such as LGTM stack, Datadog and OpenTelemetry.
- A track record of technically leading an architecture renewal, platform consolidation, or large-scale migration end to end, not just contributing to one.
- Proven ability to bring multiple engineering teams and stakeholders to a shared technical direction.
- Geospatial or space industry experience is a strong plus that will help you have an impact quickly. If you don't have it, apply anyway: most of our engineers learned the domain here.
APPLICATION PROCESS
- TA Partner screening call (30 minutes)
- Hiring manager interview (1 hour)
- Technical interview (2 hours)
- Values & Fit interview (1 hour)
- Final interview with SVP of Engineering (1 hour)
WORKING AT ICEYE
At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
- Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions.
- See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Base salary range for this position is 8,500-10,500 EUR per month (gross), depending on experience, and will be negotiated individually.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, we'll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: London
Workplace: Hybrid
About Niantic Spatial
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
About the Role
Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI.
Niantic Spatial's R&D Team in London is seeking a Research Scientist to push the frontiers of Spatial AI, advancing our Large Geospatial Model as a dedicated member of the Embodied AI group. You will invent and develop algorithms and systems that sit at the cross-section of computer vision, machine learning, AI, graphics, and robotics.
We're passionate about discovery, so we're looking for scientists who want to learn, publish, teach, and deploy every new invention.
What You'll Do
- Develop New Spatial Representations - Develop new spatial representations that embodied AI can learn from, train in, and act on.
- Advance Real-to-Sim Pipelines - Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning.
- Solve Emerging Spatial Problems - Solve emerging problems that relate to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems.
- Take Capabilities Through to Evidence - Take new capabilities through to evidence: what changed for the policy, not only what changed in the reconstruction.
- Build Prototypes - Build proof of concept prototypes, initially for internal use, where some will need to run at production scale on customer data.
- Collaborate Across Research and Product - Collaborate closely with researchers, engineers, and product partners to bring novel models to production.
- Publish Your Work - Publish and present your work.
What You'll Bring
- A PhD in computer vision, robotics, graphics, machine learning, or a related field, or equivalent research experience, with a publication record at top venues.
- Substantial expertise in robotics or embodied AI, including experience in sim-to-real transfer, domain randomization, policy evaluation, and simulation-based learning.
- Deep experience with 3D scene representations: Gaussian splatting, neural fields, meshes, point clouds, or implicit representations.
- You have applied generative or diffusion models to 3D data, such as scene completion, inpainting, relighting, or novel view synthesis from sparse capture.
- You have worked on 3D semantics, open-vocabulary scene understanding, or scene graphs.
- Proficiency in Python and Deep Learning libraries such as PyTorch.
- GPU or graphics programming experience, such as custom CUDA kernels, shaders, or differentiable rendering.
- A track record of contributing to widely used open-source research codebases.
Nice to Have
- Proficiency in C++.
Compensation & Benefits
Base salary range of £103,500 to £202,500. Compensation also includes an annual bonus, equity, and a comprehensive benefits package.
Location & Work Model
This role is based in our London office, with three days per week in office.
Inclusive Application
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for.
Equal Opportunity
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
Candidate Privacy
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Hindi speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Hindi speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Hindi, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Hindi and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: United States (Remote)
Global Trade Compliance Manager
Operations · Full-time · Remote (United States) · Hours 9am - 5pm EST
About Nysonian:
Nysonian is one of the fastest-growing consumer portfolios, behind NOBL and Flo Pilates. We grew over 8x in 2025 and are building the next phase of the business across physical products, software, and subscription experiences.
NOBL is a functional travel brand built around a simple idea. Travel products should solve real problems, not just look better. Every feature is designed to eliminate friction from the travel experience, from seamless organization and easy access to tracking, connectivity, and protection.
Flo Pilates brings studio-quality Pilates into the home through connected fitness hardware, content, and subscription experiences.
Across both brands, we are building product ecosystems that deepen the customer relationship beyond the initial purchase and create recurring value over time. We are looking for builders who want ownership, speed, and the ability to shape products at scale.
The Opportunity:
Nysonian is hiring a Global Trade Compliance Manager to to own the company's end-to-end import/export compliance program across all origin and destination markets. This role is responsible for export documentation and compliance out of China, Vietnam, Thailand, and Cambodia, and for import/customs clearance compliance into the UAE, UK, EU, Australia, Canada, the USA, and Mexico — including HS/HTS classification, importer- of-record (or equivalent) obligations, and duty/tariff management in each jurisdiction, to a standard of 100% compliance. The role works closely with the China/Southeast Asia buying and sourcing teams, the Mexico manufacturing facility, customs brokers and freight forwarders in each market, and surety/bond providers, to keep shipments compliant and identify and resolve compliance risk before it becomes a liability.
What You'll Own:
Own end-to-end export documentation and compliance for shipments originating from China, Vietnam, Thailand, and Cambodia, including commercial invoices, packing lists, certificates of origin, and each origin country's export licensing/permit requirements.
Own end-to-end import and customs clearance compliance for shipments into the UAE (Dubai Customs / GCC), UK (post-Brexit customs, EORI), EU (EU customs union, EORI), Australia (Australian Border Force), Canada (CBSA), the USA (CBP), and Mexico (SAT/Aduana).
Manage and maintain HS/HTS code classifications across the full product catalog for NOBL Travel, Flo Pilates, and other Nysonian brands, mapping classifications correctly to each destination market's tariff schedule.
Act as the primary point of contact for the customs clearance process in each market, coordinating directly with local customs brokers, freight forwarders, carriers, and customs authorities to resolve entry issues, holds, and requests for information.
Manage Importer of Record (or equivalent, e.g., EORI holder) responsibilities and obligations in every import market, maintaining 100% compliance with each jurisdiction's customs regulations, bonded entry requirements, and recordkeeping standards.
Monitor and manage customs surety bonds and guarantees where applicable (e.g., the U.S. bond program with Avalon Risk Management), including bond sufficiency, claims, and provider relationships, and lead resolution of any bond or liquidated damages matters.
Lead the response to customs compliance actions and enforcement notices from any origin or destination authority (e.g., CBP liquidated damages notices, requests for information), coordinating internally and with outside counsel or brokers as needed.
Identify and apply free trade agreement and preference programs to reduce duty exposure (e.g., USMCA, EU/UK- Vietnam FTA, ASEAN trade agreements, GCC arrangements, AANZFTA), and assess rules-of-origin risk — particularly for products manufactured in Mexico with components sourced from China, where dual-origin
exposure exists.
Monitor changes in tariff policy, trade agreements, and trade remedy actions (e.g., U.S. Section 301/232, EU CBAM, safeguard duties) across all markets, and translate them into landed-cost impact and mitigation recommendations for leadership.
Partner with the China/Southeast Asia buying teams and the Mexico manufacturing facility to ensure sourcing, bill-of-materials, and country-of-origin documentation support accurate classification and compliant entries in every market.
Build and maintain internal SOPs, recordkeeping systems, and training materials to standardize export and import compliance practices across all origin and destination countries.
Prepare compliance reporting and risk summaries for leadership, flagging open exposures by country (e.g., open enforcement cases, bond claims) and recommended next steps.
Skills & Qualifications:
5+ years of experience in international trade compliance spanning both export (Asia-origin) and import compliance across multiple destination markets, ideally supporting a consumer goods or e-commerce company.
Hands-on experience with HS/HTS classification and customs entry processes across more than one jurisdiction (e.g., US, UK/EU, Canada, Australia, or GCC).
Working knowledge of Importer of Record / EORI-equivalent obligations, customs bonds/guarantees, and customs enforcement actions (e.g., CBP liquidated damages, CF-28/CF-29 notices).
Familiarity with rules of origin under USMCA and other applicable free trade agreements, including multi-country manufacturing scenarios (e.g., China-origin components assembled in Mexico).
Experience working with customs brokers and freight forwarders across multiple countries, and coordinating export procedures with factories/sourcing offices in China, Vietnam, Thailand, or Cambodia.
Strong attention to detail and comfort owning compliance outcomes independently across jurisdictions, with a track record of driving issues to resolution.
Excellent written and verbal English communication skills, with the ability to coordinate across teams and time zones in Asia, the Middle East, Europe, and North America.
Licensed Customs Broker (LCB), CCS/CBIP, or an equivalent international trade compliance certification is a plus but not required.
Compensation
We use a market-based approach to compensation.
This role also offers performance-based rewards tied to business impact. Your starting compensation will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and company impact.
Why You Will Love Working At Nysonian:
Our Culture
We are founder-led and operate with speed, direct communication, and clear accountability
We believe in exceptional management and invest in tools and opportunities to connect with colleagues
We build products that positively impact millions of people's lives
AI is intentionally embedded in how we work, create, and scale, supporting innovation and impact
Senior leaders are expected to create structure, make decisions, and stay close to execution
Growth & Development
Competitive pay and meaningful opportunities for performance-based advancement
Direct ownership of strategy, systems, execution, and team buildout within your function
Opportunity to build and scale a meaningful part of the business across two hardware-backed consumer brands
Scope and compensation growth tied to performance, role expansion, and measurable business impact
Benefits
Health, Dental and Vision Insurance
Life and Disability Insurance
Paid Time Off
Nine (9) paid holidays per year
Complimentary Nobl & Flo products
Nysonian is an equal opportunity employer.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Hebrew speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Hebrew speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Hebrew, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Hebrew and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Polish speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Polish speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Polish, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Polish and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Portuguese Brazilian speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Portuguese Brazilian speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Portuguese Brazilian , and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Portuguese Brazilian and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Arabic speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Arabic speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Arabic, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Arabic and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Romanian speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Romanian speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Romanian, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Romanian and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Russian speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Russian speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Russian, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Russian and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Turkish speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Turkish speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Turkish, and your judgment shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Turkish and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Spanish (LATAM) speaker to join a confidential, large-scale AI and consumer technology programe for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in Spanish (LATAM), and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model outputs inSpanish (LATAM) and evaluate them for accuracy, naturalness, appropriateness, and overall quality—would a native speaker say it this way? Fact-check each response against the provided source material.
Test the Spanish (LATAM) experience against English: confirm feature parity, complete an end-to-end user journey using non-English input, and verify that the product correctly handles non-Latin scripts, diacritics, right-to-left text, and mixed-language input.
Identify any display issues (text cut off, overflowing, or rendering poorly) and any localization errors—incorrect dates, numbers, currencies, units, or untranslated strings.
Document each issue clearly so a developer can reproduce it—include steps taken, device and OS, locale, build ID, and supporting evidence. Retest after a fix ships to confirm it’s resolved.
Provide native-level insights on navigation and usability, calling out Spanish (LATAM)-specific nuances that only a fluent speaker would notice.
Work on-site in a private, secure area of the Welocalize office; due to the confidential, pre-release nature of the work, remote or work-from-home options are not available.
Assist with other linguistic projects as needed.
JOB REQUIREMENTS
Native-level or fully bilingual proficiency in Spanish (LATAM), written and spoken, with an up-to-date sense of real-world usage across both everyday and technical contexts.
Confident using smartphones and laptops; comfortable working across both iOS and Android.
Strong attention to detail and fair, objective judgment when assessing quality.
Ability to work independently, follow detailed test scripts and guidelines, and clearly explain issues in English.
Previous experience in software/app testing, localization QA, or linguistic evaluation is a strong plus, but not required if you bring the language skills and attention to detail.
Welocalize helps the world’s leading brands reach global audiences—and language testing is at the core of that mission. You’ll work alongside experienced linguists and testers on pre-release technology, in a team that takes quality and precision seriously.
If you’re a native-level Spanish (LATAM) speaker with a keen eye for detail and an interest in how language and technology intersect, we’d like to hear from you.
УдалённоRemote; Seattle, WA; London; New York, NY; San Francisco, CA; Lastly, the provided range is the expected salary for candidates in the U.S
УдалённоseniorRemote, Canada; Remote, United States; and Canadian time zones; The base salary range for this role’s listed level is currently for residents of the United States only
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.
УдалённоseniorUnited Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоseniorUnited States; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
СтажёрГеография найма не уточнена
ГибридГеография найма не уточнена
ГибридLondon
United States (Remote); Excellent written and verbal English communication skills, with the ability to coordinate across teams and time zones in Asia, the Middle East, Europe, and North America