Location: Mapbox Poland
Workplace: Remote
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
WHAT WE DO
The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping.
Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment.
- Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation
- Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety
- Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk
As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.
WHAT YOU’LL DO
As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include:
- Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers).
- Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines.
- Build tools for automated quality assurance and data exploration.
- Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms.
- Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic.
- Mentor colleagues and participate in code and design reviews.
- Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends.
WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE
- 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field.
- Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage.
- Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments.
- Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team.
- Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine.
- Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf.
- Growth mindset: Have the humility to accept mistakes, learn and grow from them.
- Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth.
- Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product).
- Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data
WHAT WE VALUE
In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders:
- We value high-performing creative individuals who dig into problems and opportunities.
- We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.
Our annual compensation for this role ranges from $102.000 - $153.000 (salaries are in USD). Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of the role).
By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
Location: Finland; Mapbox Helsinki
Workplace: Remote
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
WHAT WE DO
The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping.
Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment.
- Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation
- Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety
- Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk
As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.
WHAT YOU’LL DO
As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include:
- Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers).
- Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines.
- Build tools for automated quality assurance and data exploration.
- Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms.
- Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic.
- Mentor colleagues and participate in code and design reviews.
- Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends.
WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE
- 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field.
- Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage.
- Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments.
- Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team.
- Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine.
- Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf.
- Growth mindset: Have the humility to accept mistakes, learn and grow from them.
- Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth.
- Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product).
- Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data
WHAT WE VALUE
In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders:
- We value high-performing creative individuals who dig into problems and opportunities.
- We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.
By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
Location: Remote
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
Priority Application Deadline:
November 9, 2026
Location:
This role is remote but must overlap with an
East Africa timezone by at least 3 hours
. We are unable to sponsor or take over sponsorship of employment visas in the U.S. or U.K. at this time.
About this role
The Monitoring and Evaluation (M&E) Associate for Rapid Experimentation will support the execution and analysis of A/B tests across GiveDirectly’s programs, contributing to the use of data to inform program and product decisions. This role is fast-paced and iterative - the team runs frequent, lightweight experiments designed to generate actionable answers quickly, and then uses those learnings to refine and improve programs in real time. This includes:
Supporting the execution and analysis of rapid A/B tests across GiveDirectly projects
, ensuring that experiments are implemented effectively and contribute to learning within and across projects
Ensuring experiments are implemented correctly, measured reliably, and analyzed to produce clear and credible results
, working closely with Programs, Product, Research teams, and external academic partners to align experimental design with program delivery, data collection, and operational realities
Translating findings into actionable insights and well-structured learning products
that serve multiple audiences - internal program and product teams, and external academic partners, ensuring results inform both immediate decisions and longer-term program direction
In practice, this role is about managing a high volume of rapid experiments and turning results into clear, credible evidence that continuously shapes how GiveDirectly’s programs are refined and improved.
Reports to:
Senior Manager, Monitoring and Evaluation
Level
: Associate
Travel Requirement:
This role is based in Rwanda. Travel within East Africa is a regular part of the role, estimated at up to 25% of the time, to support field operations across country programs.Additional international travel may occur for trainings or team convenings, as needed (estimated up to 10%)
What you’ll do:
Execute and manage A/B tests across programs
Conduct power calculations to ensure experiments are both statistically rigorous and feasible to implement within program constraints
Set up pre-specified experimental designs, applying defined experimental groups, outcome measures, and measurement timelines
Review experiment setups prior to launch and flag execution and measurement risks that may affect interpretability
Ensure experiments are well-coordinated and executed as designed, aligning implementation with research plans and integrating smoothly into program delivery across Programs and Product teams
Work at a fast pace across a portfolio of 2–3 live A/B tests at any given time, designed to generate actionable answers quickly and feed rapid iteration of programs and products
Ensure accurate measurement and high-quality data for experiments
Collaborate with external Principal Investigators (PIs) to ensure measurement approaches and data collection are aligned with research design and implementation realities
Ensure experimental outcomes are captured accurately and consistently by applying established indicator and measurement approaches
Prepare and manage datasets that are clean, well-structured, and ready for analysis using survey, administrative, and product data
Identify and flag data quality risks (e.g., missingness, inconsistencies, measurement error) that could affect the validity of experimental conclusions
Conduct targeted literature reviews to ensure measurement approaches are grounded in evidence and aligned with best practices
Analyze experimental data and interpret results to inform decisions
Generate reliable and decision-ready analyses of experimental data from A/B tests
Assess the magnitude and direction of effects and highlight what the results do and do not suggest, noting key limitations
Ensure results are clearly understood and appropriately interpreted, given data quality, sample size, and implementation considerations
Translate results into actionable insights and learning across experiments
Translate experimental results into clear, actionable recommendations to guide program and product decisions for individual country programs, and for the direction of GiveDirectly’s programming as a whole
Structure results and key learnings so they can be reused to inform future experiments and program design
Prepare concise learning products (e.g., memos, summaries) that serve multiple audiences, including internal Programs and Product teams, and external academic partners, ensuring findings are clearly communicated for both technical and non-technical stakeholders
Prepare and clean de-identified datasets for sharing with external PIs and academic partners, ensuring data is structured, well-documented, and ready for independent analysis
Contribute to cross-country discussions to ensure learnings from experiments are shared and applied across contexts, and maintain clear documentation so experiments are easy to track, understand, and build on over time
What you’ll bring:
Exceptional alignment with
GiveDirectly Values
and active demonstration of our core competencies: emotional intelligence, problem-solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve.
Bachelor’s degree (or equivalent) in Economics, Statistics, Public Policy, or a related quantitative field
2–4 years of experience working with data in applied settings (e.g., experimentation, evaluation, analytics, or program learning), ideally in development, tech, or operations-focused roles
Solid understanding of experimental design and causal inference concepts (e.g., randomization, treatment/control groups, units of randomization, statistical power, bias) and how to apply them in real-world program contexts
Experience using R, Python, or Stata to clean, manipulate, and analyze data, including working with multiple data sources (e.g., survey or administrative data)
Experience collaborating with cross-functional teams (e.g., programs/operations, product, or research) and external partners to implement projects and solve problems
Fluency in English required
Comfort working at pace - able to manage multiple workstreams simultaneously, make progress with imperfect data, and iterate quickly based on emerging findings
Ability to interpret results beyond statistical significance and communicate clear, actionable insights to both technical and non-technical audiences
Compensation
At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy
here
.
Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.
Kenya
Base Salary:
$46,930
Bonus at Target Performance:
10%
Rwanda
Base Salary:
$38,560
Bonus at Target Performance:
10%
UK
Base Salary:
£52,920
Bonus at Target Performance:
10%
Annual Benefits Stipend:
£2,760
United States
Base Salary:
$81,000
Bonus target:
10%
Annual Benefits Stipend:
$21,393
This role is fully remote, with a preference for candidates to be based in Kenya or Rwanda. If you’re located elsewhere, we’ll share an estimated salary benchmark for your country during the hiring process. You can find the full list of countries we’re currently able to hire in
here
.
Why work at GiveDirectly?
At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:
A supportive team that works hard and cares hard
A robust health benefits plan (exact details will vary by country)
Flexible paid time off that staff is encouraged to take
Allowances for desk set-up and learning and development
#LI-REMOTE
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Location: London, England, United Kingdom
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About Fanatics Markets:
Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow — from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets.
Overview:
This Staff Software Engineer role is an individual contributor position with technical leadership and significant ownership across our full stack: the web application customers use to interact with our product and the backend systems that power it. You'll combine hands-on engineering with responsibility for shaping architecture, setting technical direction, and enabling engineers across teams to deliver effectively.
Whether your deepest expertise is in frontend or backend engineering, you'll apply that strength across the platform while making meaningful contributions on the other side of the stack. Joining a product at an exciting early stage, you'll help define its technical foundations, identify the highest-impact engineering challenges, and turn ambiguous problems into clear plans that balance customer needs, delivery speed, and long-term reliability.
Your impact will extend beyond the systems you build. You'll lead complex initiatives spanning teams, mentor engineers, and establish practices that improve engineering quality and effectiveness. You'll also shape our approach to AI-assisted development while building systems that can handle millions of events daily.
On the engineering side, we're pioneering the use of AI as a code collaborator. We need engineers who have gone beyond experimentation — who actively use Claude Code, Codex, GitHub Copilot, or similar tools to ship production code faster while maintaining exceptional quality standards, and who can help others adopt these workflows responsibly and effectively.
Responsibilities:
Set technical direction for major areas of the Markets platform, aligning architectural decisions with product strategy and guiding their implementation across teams
Lead the design and delivery of complex, scalable systems and customer experiences, contributing hands-on in React, Next.js, and TypeScript or backend services in Go, while making meaningful contributions across the stack
Identify and resolve ambiguous engineering problems spanning team or system boundaries, turning them into clear proposals, delivery plans, and measurable outcomes
Own critical initiatives end-to-end, from discovery and technical specifications through implementation, instrumentation, deployment, monitoring, and iteration
Partner with product, design, platform, and infrastructure teams to make informed tradeoffs across customer experience, accessibility, performance, security, reliability, and delivery speed
Define architecture and integration patterns for frontend applications, backend APIs, and event-driven systems, with particular attention to correctness in markets, orders, and transactions
Guide the design of experimentation capabilities, including feature flags and A/B tests, so teams can validate ideas quickly and safely
Anticipate scaling constraints, reliability risks, and technical debt; build alignment on pragmatic improvements and drive them through to completion
Raise engineering standards through design reviews, code reviews, testing strategies, observability, and safe deployment practices
Mentor engineers and develop technical leaders, helping teams make sound decisions and solve problems independently
Establish and evolve standards for AI-assisted development, including appropriate use cases, review expectations, security safeguards, and validation strategies
Measure and improve engineering effectiveness, sharing tools and practices that increase delivery speed without compromising quality
Lead through influence in an early-stage product environment, creating clarity, unblocking teams, and establishing ways of working that support growth
Qualifications:
Substantial experience building and operating highly scalable production systems, with demonstrated impact at Staff level or equivalent scope, including technical leadership across teams or major platform areas
Deep expertise in either user-facing web applications built with JavaScript/TypeScript and React or backend services built with languages such as Go, Java, or Python, alongside the ability to reason across the full stack. If you're frontend-strong, you don't need to arrive fluent in Go, but you should be comfortable engaging with backend architecture and system tradeoffs
A track record of setting technical direction and delivering complex initiatives from ambiguous requirements through to measurable production outcomes
Strong architectural judgment, including the ability to assess tradeoffs, establish clear system boundaries, and evolve systems as product requirements and scale change
Experience shaping React architecture, component-driven development, and modern state management using tools such as Next.js, TanStack Query, Tailwind, or Zustand; or deep backend experience with data modeling, distributed systems, and event-driven architecture using technologies such as Postgres and Kafka/PubSub
Deep knowledge of your primary language's features, idioms, and best practices, with experience establishing standards adopted beyond your immediate team
Strong understanding of performance, reliability, and security, including responsive design and accessibility on the frontend or scalability, observability, data integrity, and failure handling on the backend
Experience defining API contracts and collaborating across product, platform, and infrastructure teams to deliver reliable systems
Experience shaping CI/CD pipelines, testing strategies, and safe deployment practices across services or applications
Demonstrated ability to lead through influence, build alignment across teams, and communicate technical decisions clearly to engineers and non-technical stakeholders
A track record of mentoring engineers, strengthening technical decision-making, and increasing the effectiveness of others
Demonstrated experience using AI tools such as Claude Code, Codex, Cursor, or Copilot to ship production code, with sound judgment about their limitations and appropriate validation
Specific examples of improving development workflows, with evidence of their impact on delivery speed, quality, or engineering productivity
A team-first approach, with the judgment to move between strategic technical work and hands-on delivery according to the needs of the product
Ability to create clarity in a high-growth environment where priorities evolve and decisions must be made quickly
Strong cross-functional collaboration skills, including experience aligning teams and navigating dependencies within large enterprise environments
You don't need to tick every box — deep strength in one area, demonstrated technical leadership, and a willingness to learn go a long way.
Preferred Qualifications:
Previous experience shaping technical foundations in early-stage or high-growth startup environments
Experience with real-money transaction systems, including financial correctness, auditability, and regulatory requirements
Experience developing technical roadmaps or leading architectural changes adopted across multiple teams
Background in building developer tools or improving engineering productivity at scale
Experience establishing AI-assisted engineering practices across teams
Contributions to open-source projects or the technical community
BSc in Computer Science or a related field
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connections and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
Ready to build the future of sports trading? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend.
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Berlin Office; Bosnia; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; Montenegro; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece
Workplace: Remote
The AI orchestration of your wildest imagination.
n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:
- Cultivated a community of more than 650,000 active developers and builders
- Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
- Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register.
We’re in a defining moment of an incredible journey. Come and build with us.
🎯 Your main goal will be to identify and reduce security risks across n8n's product and internal systems, using threat modelling, hands-on security expertise, and cross-functional collaboration to help teams design, build, and operate more secure systems.
You'll join our growing security team at a pivotal stage, acting as a trusted security partner to teams across the business. You'll help us build a move from reactive security management to a proactive, scalable security practice.
Here's what you'll be driving:
THREAT MODELLING, RISK ASSESSMENT & SECURITY DESIGN
- Conduct threat modelling and risk assessments across product features, AI agents, cloud infrastructure, corporate IT, internal applications, and data systems, identifying vulnerabilities and recommending practical mitigations.
- Partner with Engineering, Cloud, IT, and Data teams to review security designs, define actionable security requirements, and influence the implementation of appropriate controls.
- Help teams embed security into their development processes through secure coding guidance, design reviews, documentation, and security tooling that enables them to identify and address risks independently.
VULNERABILITY MANAGEMENT & COORDINATED DISCLOSURE
- Participate in the security triage rotation, assessing incoming vulnerability reports, validating findings, and prioritising remediation based on severity and business impact.
- Collaborate with engineering teams to coordinate vulnerability remediation, verify fixes, and support secure patch and release processes.
- Help manage our vulnerability disclosure and bug bounty programmes, including engagement with security researchers, coordinated disclosures, and GitHub Security Advisories.
SECURITY OPERATIONS & INCIDENT READINESS
- Help establish and improve logging, detection, and protective monitoring capabilities across our infrastructure, corporate systems, and internal applications.
- Develop and improve incident response processes, runbooks, and exercises to strengthen our ability to detect, investigate, and respond to security incidents.
- Work closely with system owners to identify security gaps, prioritise remediation, and verify that implemented controls effectively reduce risk.
CUSTOMER TRUST & COMPLIANCE ENGINEERING
- Support SOC 2 compliance by helping establish continuous control monitoring, automated evidence collection, and processes that make security assurance part of everyday operations.
- Collaborate with Sales, Solutions Engineering, and Customer Success to respond to customer security assessments and build reusable resources that streamline future requests.
- Partner with Legal, Finance, IT, and other stakeholders to assess security risks, improve security policies and controls, and strengthen trust with enterprise customers.
We're hiring two Security Engineers with complementary strengths, so you don't need to be an expert in every security domain.
REQUIREMENTS
MUST-HAVES
- 🔍 Threat Modelling & Risk Assessment: You have hands-on experience assessing real-world systems, identifying security risks, determining defensible severity levels, and recommending practical controls that teams can implement.
- 🛠️ Technical Security Expertise: You can validate security findings, reproduce vulnerabilities, develop proof-of-concepts, and write code or automation when needed to demonstrate risks or improve security processes.
- 🔐 Security Engineering Experience: You've worked hands-on in infrastructure, product, or application security within a product-focused organisation, with a strong understanding of how modern systems are designed and secured.
- 🤝 Cross-functional Influence: You're comfortable acting as an internal security consultant, advising teams, challenging technical decisions constructively, and influencing stakeholders without direct authority.
- 🎯 Risk Remediation & Ownership: You've helped secure systems you don't directly own, translating security findings into actionable requirements and working with responsible teams to ensure effective remediation.
- 🤖 AI & LLM Fluency: You're comfortable using LLM-assisted tooling and understand its limitations, security implications, and potential failure modes.
- ✍️ Clear Communication: You can explain complex security risks, document technical findings, and provide practical guidance that engineers and non-technical stakeholders can confidently act on.
You also bring deep expertise in at least two of the following areas:
- 💻 Application Security: You've developed security checks, engineering guardrails, tooling, or guidance that helps product teams build and ship secure software.
- ☁️ Platform Security: You have experience securing a major cloud provider and Kubernetes environments, including areas such as sandboxing, multi-tenancy, or identity.
- 🔑 Corporate Security: You've worked on identity and access management, endpoint security, employee access lifecycles, or data access controls across corporate environments.
- 🚨 Security Monitoring: You've implemented logging, protective monitoring, or security detection capabilities that support effective investigation and incident response.
- 📋 Security Assurance & Compliance: You've supported SOC 2 or ISO 27001 from an engineering perspective, including implementing technical controls or automating compliance evidence collection.
NICE-TO-HAVES
- 🐛 Vulnerability Disclosure: You've helped operate bug bounty or coordinated vulnerability disclosure programmes, including publishing security advisories such as GHSAs or CVEs.
- 🧠 AI & Agent Security: You have experience assessing or securing LLM-powered applications and AI agents, including risks related to permissions, tool access, prompt injection, or sensitive data.
- 🏢 Corporate IT Tooling: You're familiar with platforms such as Okta, Azure, or Drata and their role in securing corporate systems and supporting compliance.
- 🌍 Open-source Ecosystems: You've worked with open-source or source-available products, contributed to security communities, or are already familiar with n8n.
- 🎯 Penetration Testing: You have practical penetration testing experience and can independently identify, demonstrate, and help remediate security vulnerabilities.
- 🌱 Early-stage Security Experience: You've been an early security hire or helped establish security practices in a startup or rapidly scaling organisation.
Why join us?
At n8n, you'll help shape security at a defining stage of our growth. We're building a security practice that goes beyond reacting to vulnerabilities, and you'll play a key role in how we identify risks, influence engineering decisions, and establish security practices that scale with the business.
You'll work across a broad range of challenges, from securing AI-powered product features and our source-available automation platform to improving corporate security, strengthening incident readiness, and making compliance more automated. You'll have direct exposure to teams across the company, the opportunity to influence important technical decisions, and the autonomy to turn your expertise into measurable security improvements.
Sound like a challenge you're excited to take on?
Apply now — and help us build the future of secure automation.
n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
We can sponsor visas to Germany; for any other country, you need to have existing right to work.
Our company language is English.
You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).
Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.
BENEFITS
- Competitive compensation 💸 – We offer fair and attractive pay.
- Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
- Work/life balance 🏖️ – We work hard but ensure you have time to recharge:
- Europe: 30 days of vacation, plus public holidays wherever you are.
- US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
- Health & wellness 🩺 –
- Europe: We provide benefits according to local country norms.*
- US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
- Future planning 💰 –
- Europe: We provide pension contributions according to local country norms.*
- US: 401(k) retirement plan with a 4% employer match.
- Financial security 🛡️ –
- Europe: We provide benefits according to local country norms.*
- US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
- Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
- A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
- Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.
- Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.
- Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.
*Country and/or State specific details provided in your employment agreement.
Location: Distributed
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: London, Munich, Amsterdam, Paris, Lisbon
About the Department
The Specialist Solutions Engineering team at Cloudflare is a group of trusted technical advisors who partner with our customers to solve their most complex security and performance challenges. We work hand-in-hand with the sales organization to navigate the entire customer journey, from initial discovery and solution design to proof-of-concept and implementation. We are passionate about technology and dedicated to helping our customers understand and leverage the full power of Cloudflare's global network to achieve their business critical objectives.
About the Role
As a Senior Solutions Engineer Specialist, you will be a pivotal technical expert and strategic advisor, focusing on the Cloudflare One product suite. You will partner with our sales team and engage directly with our customers to architect and demonstrate how our SASE platform can solve their unique security, performance, and reliability needs. Your expertise will be crucial in guiding prospects through complex technical evaluations, ensuring they have the confidence to adopt Cloudflare as a core component of their IT and security infrastructure.
This role requires a blend of deep technical curiosity, strong communication skills, and a genuine passion for helping customers transform their network and security architecture. Candidates are expected to actively use AI tools in their day-to-day life for research, preparation, automation, or customer engagement.
Responsibilities
Serve as a trusted technical advisor
to our customers, helping them architect the optimal solution for their business needs using the Cloudflare One product suite.
Stay at the forefront of AI-era security challenges
by developing expertise in how enterprises govern and secure AI tool adoption, including Shadow AI visibility, data loss prevention for AI applications, MCP server access controls and Agentic AI Governance.
Guide qualified prospects
through the solution design and proof-of-value stages, effectively demonstrating the key capabilities and value of the Cloudflare One portfolio.
Collaborate with sales partners
to consistently achieve pipeline generation and revenue goals.
Analyze customer IT landscapes
and security requirements to develop robust architectures that support their strategic objectives.
Clearly articulate the benefits
and technical differentiators of the Cloudflare One product portfolio against competing solutions.
Enhance customer retention
by identifying, capturing, and communicating product gaps or feature requests to internal product and engineering teams.
Collaborate with Product Teams
by being the voice of our customers by sharing insights, trends, and product gaps to help shape the product suite and solution roadmap.
Qualifications
Successful candidates are curious, customer-focused, and have a passion for learning. We are looking for individuals with a strong background in technical sales or systems engineering who can effectively communicate complex concepts to both technical and executive audiences.
Key Qualifications:
5+ years of experience in a customer-facing technical role such as Technical Sales, Solutions/Systems Engineering, or a related field.
Active adoption of the use of AI tools in professional day to day workflows and knowledge on AI security concepts relevant to enterprise customers: Securing employee AI tool usage, Governing AI application access, and understanding the data leakage risks posed by generative AI tools
Demonstrated experience presenting technical solutions and communicating the value of network and security transformation to senior-level executives.
Deep understanding of the modern cybersecurity landscape, including common threats (e.g., malware, ransomware, phishing, botnets) and mitigation strategies.
Fundamental knowledge of customer network and application architectures, including hybrid environments leveraging public clouds (Azure, AWS, GCP).
Solid grasp of SASE concepts and Zero Trust networking architectures.
Hands-on experience with one or more of the following: Secure Web Gateway (SWG), CASB, DLP, DNS security (including DNS over HTTPS), Identity Provider (IdP) integration (SAML, OTP), and SIEM/log analytics platforms.
Desirable Skills, Knowledge, and Experience:
Fluent in English (written & spoken), Russian and/or Hebrew
Proficiency with networking fundamentals, including routing, subnetting, VPNs, and SD-WAN concepts.
Understanding of AI agentic architecture and the security requirements and challenges in implementation at scale.
Familiarity with client operating system fundamentals and software distribution methods.
Knowledge of the competitive landscape for CDN, WAF, DDoS mitigation, and Zero Trust Network Access (ZTNA) solutions.
Direct experience with Cloudflare's Zero Trust solutions (Access, Gateway, Browser Isolation) is a significant plus.
Strong project management skills, with the ability to work to deadlines and prioritize effectively among competing goals.
Compensation
For Spain based hires: Estimated annual salary is between €79,000 - €124,000.
For Germany based hires: Estimated annual salary is between €116,000 - €182,000.
For Netherlands based hires: Estimated annual salary is between €111,000 - €174,000.
For Portugal based hires: Estimated annual salary is between €74,000 - €117,000.
For France based hires: Estimated annual salary is between €102,000 - €161,000.
This role is labelled CSP Position 3-1 and has a coefficient of 170, as per the SYNTEC Collective Bargaining Agreement.
Equity
This role is eligible to participate in Cloudflare's equity plan.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Tokyo, Japan
Location: Japan (Tokyo)
Type: Contractor (12 months to start)
Hours: 40 hours/week
Role Summary:
We’re looking for a contractor based in Japan to support the development and growth of OpenAI’s student community efforts in Japan and Korea.
This role will focus on building strong relationships with students and campus communities, supporting locally relevant community activations, surfacing meaningful student stories and insights, and helping establish the foundations for sustained student engagement over time.
About the Team
OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity.
The Community team focuses on finding exceptional power users of our tools and turning real usage into stories and signals that shape both product direction and how the world understands OpenAI. We do that by learning directly from users, then working together to package up insights and use cases into formats that can travel: playbooks, webpages, launch assets, event series and clear “here’s how people actually use this” guidance.
About the Role
ChatGPT and OpenAI’s broader tools can help students learn, create, build and solve problems in new ways. But for many, discovering meaningful ways to use AI can still feel like navigating a black box without an instruction manual.
The OpenAI community exists to bridge that gap by working directly with the people using our technology every day.
Our role sits across three core areas:
- Build direct relationships and channels with student leaders and their communities
- Amplify how these cohorts are actually using AI, enabling peer-to-peer learning and accelerating adoption through real examples
- Channel insights and feedback from these communities into our product and research teams
Our current student engagements serve as a key entry point for building long-term relationships with students and priority campuses—helping us identify emerging power users and support growing communities through authentic, student-led engagement.
The goal is for every participant to leave not only with an “I wonder if…,” but with the confidence to build with AI—and a community to learn alongside.
This role will report to the Community Lead, APAC and work closely with cross-functional stakeholders and our external agency partner to support the growth of OpenAI’s student community efforts primarily in Japan,and selected engagement efforts in Korea.
In this role, you will:
- Support the development and growth of OpenAI’s student community efforts in Japan, with opportunities to support relevant engagement efforts in Korea
- Identify, recruit, and onboard students to participate in our global OpenAI Student Collective program
- Build partnerships with student clubs and campus communities to host Labs
- Build and maintain strong relationships with students, hosts, and campus partners
- Coordinate communications, scheduling, logistics, and event execution; resolve issues and remove blockers
- Represent OpenAI on Campus
- Develop and maintain dashboards and systems to track events, performance, and program scale - including student participation and event engagement.
- Collaborate cross-functionally with internal teams to ensure alignment and follow-through.
- Source, review, and curate stories and use cases across events and online communities
- Publish progress updates and monthly recaps, highlighting key insights, risks, and opportunities
- Collaborate with the Community team to improve, maintain community resources, including guides, templates and checklists.
Qualification
Must have:
- 5 years experience building, managing or growing communities, ideally student or campus-based communities.
- Excellent execution skills, with the ability to operate in ambiguous, fast-moving environments.
- Ability to manage multiple workstreams at once, from onboarding and event coordination to story capture and reporting..
- Experience coordinating across multiple stakeholders and driving follow-through.
- Strong communication skills and the ability to build trust quickly with students, partners and internal teams.
- Comfort with tools like Slack, Google Docs / Sheets, Airtable or similar workflow systems.
- Willingness to travel for student community activations across Japan, and occasionally Korea where relevant
- Japanese language proficiency
Bonus:
- Active participation in tech and AI communities, with a strong understanding of how these ecosystems operate beyond top-line metrics
- Strong interest in AI and familiarity with how the space is evolving, including emerging product and agent experiences.
- Experience working with agencies and external partners.
- Strong relationships with student communities, clubs or universities in Japan and Korea
- Korean language proficiency
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology and personalized insights help people optimize recovery, sleep, training, and overall health. As we continue to expand globally, ensuring our products meet evolving environmental regulations is critical to delivering innovative hardware to members around the world.
We’re looking for a Senior Global Environmental Compliance Specialist to lead WHOOP’s global environmental product compliance. In this role, you’ll own the strategy, execution, and continuous evolution of our environmental compliance framework, ensuring our products meet global regulatory requirements throughout the product lifecycle while enabling rapid innovation and worldwide market access.
RESPONSIBILITIES
- Ensure WHOOP’s products meet environmental compliance standards in all current and planned global markets, including regulations such as RoHS, REACH, California Proposition 65, SCIP, POPs, battery, and packaging requirements.
- Lead regulatory reporting, product declarations, and data submissions to ensure timely and accurate compliance across global markets.
- Partner with Hardware, Operations and other cross-functional teams to ensure environmental compliance requirements are considered throughout product development, from concept through end of life.
- Collaborate with Global Supply Management and suppliers to communicate evolving regulatory requirements, collect compliance documentation, and improve supplier readiness.
- Monitor the global regulatory landscape, assess business impact, and provide recommendations that proactively address emerging environmental requirements.
- Develop and improve compliance processes, documentation, and operational procedures that scale with WHOOP’s product portfolio.
- Manage environmental compliance data and documentation within compliance management systems, identifying opportunities to improve efficiency through automation.
- Develop and maintain Bio-compatibility testing standards as appropriate for wearable products. Ensure the team understands requirements applicable to each product and incorporates appropriate bio-compatibility tests early in development.
- Partner with cross functional teams to satisfy Extended Producer Responsibility (EPR) obligations across global markets, including WEEE, Battery, and Packaging waste management registration, data reporting, and Producer Responsibility Organization (PRO) management.
- Support company initiatives related to voluntary environmental standards and sustainability programs.
QUALIFICATIONS
- Required: Bachelor’s degree in Engineering or Science. Preferred: Materials focused degree or research.
- At least 5 years of experience managing global environmental compliance for consumer electronics, wearables, or other hardware products.
- Strong working knowledge of global environmental regulations, including RoHS, REACH, TSCA, California Proposition 65, SCIP, POPs, battery, and packaging requirements.
- Experience managing environmental compliance data, documentation, and regulatory reporting using compliance management systems such as Greensoft or equivalent tools.
- Demonstrated ability to interpret complex regulations and translate them into practical engineering and operational requirements.
- Experience partnering across Engineering, Supply Chain, Operations, Quality, and Legal to drive compliance throughout the product lifecycle.
- Excellent project management, communication, and organizational skills, with the ability to manage multiple priorities in a fast-paced environment.
- Experience supporting voluntary environmental standards or sustainability certification programs.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Your job is to make sure every payout and transaction lands with the right person.
We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform.
This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch.
We are now looking for a
Backend Engineer (Golang)
to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one.
This role will be based in
London
,
UK
as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin.
What you'll do:
Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers.
Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout.
Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times.
Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer.
Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter.
Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team.
Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event.
Our expectations:
3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production.
1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly.
A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one.
Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar).
Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability.
Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality.
Nice to have
Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud.
Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path.
Background in Kotlin, Java, Python, or Node.js alongside Go.
Familiarity with cloud infrastructure (AWS, GCP).
Experience working across multiple brands, regions, or regulatory regimes.
What we value
A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output.
Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them.
A track record of owning a project or feature end to end, especially in fast-paced environments.
Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together.
An adversarial instinct. The best fraud engineers enjoy thinking like the attacker.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Hong Kong
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Hong Kong
The Role
We’re looking for a QA Manager to own end-to-end quality across hardware, firmware, PlayOS, and game experiences for Nex Playground. This is a role for someone who enjoys hands-on testing and debugging while also shaping test strategy, release criteria, and the overall quality bar.
Your mission is to ensure every hardware revision works seamlessly with PlayOS and our games—delivering a stable, responsive, compatible, and delightful experience in real-world conditions. You’ll partner closely with the engineering team and game cells to identify risk, prevent regressions, and support confident release decisions.
Key Responsibilities
Hardware compatibility & system validation
Own validation for hardware bring-up and ongoing compatibility across hardware revisions, PlayOS versions, and game builds.
Develop and maintain risk-based test plans across EVT, DVT, and PVT—or equivalent development stages—including:
boot, update, rollback, and recovery flows
input, tracking, peripherals, and connectivity
long-session stability, power cycles, and intermittent failures
storage integrity and save-data behavior
Maintain a clear compatibility matrix covering hardware revisions, PlayOS versions, firmware versions, and game builds.
Partner with engineering teams to isolate hardware–software issues and verify fixes.
Firmware quality & release gating
Own the test strategy for firmware and PlayOS updates, including upgrade and downgrade paths, interrupted updates, failure scenarios, sleep/wake behavior, backgrounding, resume, and recovery.
Define manual validation and integrate automated checks into OTA release workflows where appropriate, covering installation, staged rollout, rollback, interruption handling, and recovery.
Establish quality gates, entry and exit criteria, and evidence-based go/no-go recommendations for hardware and firmware releases.
Assess release risk, track critical issues, and ensure regressions are understood before rollout.
Performance, reliability & real-world readiness
Validate system compatibility across PlayOS and game releases, including input, tracking, performance, save data, and update-related regressions.
Define and validate measurable quality targets such as frame-rate stability, responsiveness, latency, memory usage, thermal behavior, and crash-free sessions.
Execute long-run, stress, and recovery testing to identify memory leaks, degradation over time, and intermittent failures.
Test representative user environments, including network variability, display configurations, device states, user flows, and edge conditions.
Automation & tooling
Build and maintain reliable automated regression coverage across device, firmware, OTA, system-integration, and game-compatibility workflows where appropriate.
Integrate high-value automated checks into release workflows and make failures easy to diagnose.
Develop lightweight tools and scripts that accelerate setup, validation, data collection, and troubleshooting.
Communication, vendor management & cross-functional leadership
Produce actionable bug reports with clear reproduction steps, environment and build details, logs, impact, and supporting evidence.
Drive defect triage and prioritization with engineering and product partners, particularly during release cycles.
Manage external vendors, including scope, capacity, priorities, deliverables, acceptance criteria, quality standards, and performance.
Communicate quality status and release risk clearly, helping teams make informed tradeoffs and decisions.
Champion consistent testing practices and raise the quality bar across teams through influence and collaboration.
Key Requirements
Strong hands-on QA experience in system-level testing, firmware or OS validation, or hardware–software integration.
Demonstrated ability to design risk-based test strategies and execute thorough exploratory testing.
Experience validating firmware or OTA update flows, including failure handling, rollback, and recovery.
Experience investigating performance, reliability, and intermittent issues using logs, traces, crash data, and other diagnostic evidence.
Ability to create maintainable automated tests, tools, or scripts in at least one programming or scripting language.
Experience coordinating external QA partners or vendors and holding deliverables to clear quality standards.
Clear written and verbal communication, sound judgment, and strong cross-functional collaboration.
Nice-to-have
Experience with consumer electronics, hardware bring-up, EVT/DVT/PVT, or manufacturing test concepts.
Experience with game or platform QA, graphics and performance profiling, input or motion-tracking systems, or observability tooling.
Familiarity with Android or Linux debugging, ADB, CI/CD systems, device logs, traces, and crash dumps.
Experience building test infrastructure, managing device labs, or validating staged software rollouts at scale.
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Amsterdam, Netherlands
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The EMEA Mid-Market international team is responsible for building the international ads engine outside of the US, onboarding & growing advertisers to achieve their marketing objectives with proven solutions and at pace globally. This is an opportunity for you to be part of the team that expands the Reddit footprint: design the strategy, develop a high performing sales team and bring the magic of Reddit into new markets! We're looking for sharp, positive and motivated self-starters to help us build this team from the ground up! In addition to laying the foundation of the team
We're introducing a new role into our Mid market team that is end to end responsible to grow our book of business, managing both the pre and post sales journey of our clients. You will be responsible for your own book of Business, taking full ownership of strategic conversations, implementation & optimisations to grow the accounts. You will build & maintain a relationship at both client direct & agencies to meet their business objectives using Reddit's advertising suite. You will work closely with the wider Mid Market DACH Team to define best practices, treatments and process improvements that allow for more sustainable growth, efficiency or scale.
This role is required to work in person from our Amsterdam office.
Core Responsibilities
:
Act as the CEO of your book of business, and take full ownership of strategic bets, revenue forecasting, and ensuring operational rigor.
Generate advertising revenue from assigned clients via ad agencies and advertisers directly, ensuring their needs are met and exceeded
Responsible for revenue quota of assigned book of business each quarter
Develop and execute strategic sales plans to meet and exceed revenue targets.
Own client meetings from agenda to final presentation, instilling confidence and setting all interactions up for success by appropriately setting client expectations, identifying outcomes, and communicating clear next steps
Act as the primary point of contact for clients to communicate major platform updates, releases, changes, and/or opportunities that will deepen or expand the relationship
Provide strategic, proactive, and consultative advice to clients in order to uplevel and grow the relationship; Identify areas of additional opportunity within existing client relationships, including new lines of business, and move them through to close
Communicate feedback on our sales processes, narratives, and products in order to advocate for customers and improve the team's effectiveness and efficiency
Implement & optimize campaigns ( with the help of account strategists) to meet our clients’ advertising objectives through performance-driven or awareness campaigns
Pull and analyze data to compile compelling and actionable insights to move your clients' businesses forward.
Recognize and represent client needs and asks to cross-functional stakeholders
Proactively and continually identify areas of improvement
Qualifications:
9+ years of relevant experience in online media sales (platform experience preferred)
Strong understanding of the media landscape across the DACH region
Client-facing experience in advertising sales, account management, or paid social campaign management
Experience in monitoring marketing campaign performance, and make manual optimizations or strategic recommendations as needed
Experience in Pulling and analyzing data to compile compelling and actionable insights to move your clients' businesses forward.
Fluent in English & German
Users-first orientation
Positive outlook, team player
Demonstrated high achievement against sales targets
Motivated self-starter who thrives in unstructured environments
Solid understanding of customer marketing funnel and traditional marketing ecosystem
Experience working with Excel/Gsheets and delivering actionable insights
Understanding of digital measurement, tracking fundamentals and mobile measurement partners
Tenacious and entrepreneurial approach to working through product, process, and client challenges
Demonstrated ability to cultivate strong relationships with external partners
Benefits
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Private Pension plan with Employer-matching
100% employer-sponsored group medical plan
Income Replacement Programs
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Limassol, Cyprus; Warsaw, Mazowieckie, Poland
Workplace: hybrid
This role leads the IT Asset Management function at Capital.com, delivering it against the strategy and priorities set by the VP of IT Operations. You turn a fragmented setup into a function that actively delivers trusted data and services to the rest of the business, so teams can decide and act on reliable information rather than chase records. You own the IT asset register (Software and SaaS, on-premise solutions, the development stack and hardware, etc.) together with the automation and data services built on top of it, and you are the trusted source of data on assets and spend. You lead a small multidisciplinary team and partner closely with Vendor Management, Security, Finance and IT Operations.
What You Will Do:
Lead the IT Asset Management function and deliver it against the strategy and priorities set by the VP of IT Operations.
Deliver data and services to other functions as the outcome: capture their needs, then build and run the services that meet them, rather than collecting data for its own sake.
Own the IT asset register across Software and SaaS, on-premise solutions, the development stack and hardware, keeping it complete, accurate and trusted.
Operate one trusted source of data on assets and spend, and build the Asset Management automation on top of it.
Keep controls on asset data lightweight and non-duplicated, so trusted data drives real decisions across teams.
Lead asset-driven budgeting and regular reporting, and provide data services to the Finance department.
Partner with Vendor Management to optimise procurement and with Security to detect and reduce Shadow IT.
Direct integration with Atlassian services (Jira, Confluence, Jira Assets and JSM) and the asset data platform (data warehouse plus BI layer).
Lead integration of purchased solutions to standard, support through change, and clean offboarding (data archival and migration, access removal, service-account disposal, documentation).
Line-manage and develop the team, setting direction, priorities and quality bars.
Who You Will Work With:
Vendor Management and Procurement: on spend and procurement optimisation, and on the vendor and contract data that feeds the register.
Security and IAM: on Shadow IT detection, access and SSO data.
The Finance department: budgeting, reporting and spend visibility, delivered as a service.
IT Operations and SysAdmins, and Data / Analytics or central Data Engineering: on data sources and delivery of the asset data platform.
Service and Business Owners across the company: to capture needs and deliver the data and services they rely on.
What You Bring:
Proven experience building process systems and keeping them lightweight in a regulated environment; you hold the balance between simplification and control.
A track record of delivering against an agreed strategy and roadmap while bringing your own judgment to reach the outcome, not just following a brief.
Deep experience working with large data sets, with a clear grasp of why each item is collected and what decision it serves.
A record of delivering data services that other departments actually use, not just producing reports.
Strong understanding of a service model: a function that builds services for others while running its own operations.
Experience building and then operating data warehouses for applied use.
Experience in hybrid infrastructure (on-premise plus cloud).
Excellent stakeholder skills: you can negotiate with business people and with engineers and stay credible to both.
Nice to Have:
SQL (PostgreSQL and/or BigQuery); you need not build pipelines yourself but should specify, direct and sanity-check them.
Python and API integration familiarity.
Experience managing an IT Asset Management (ITAM / SAM) function in a large company.
Familiarity with BI tools (Looker, Metabase, Tableau or Grafana) and IAM tooling (Okta).
Fintech, brokerage or banking experience.
What you will get in return:
Competitive Salary:
We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
Work-Life Harmony:
Join a company that genuinely cares about
you
—because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
Annual Performance Bonus:
Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance.
Generous Time Off:
Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
Employee Referral Program:
Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
Comprehensive Health & Pension Benefits:
From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
Workation Wonderland:
Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
Volunteer Days:
Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
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 detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst (Speech & Voice AI)
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)
Hourly Pay Rate: $28/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, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Spanish (Mexico)
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
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.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
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 role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
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 detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst (Speech & Voice AI)
Hiring in: Onsite (Bay Area, 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)
Hourly Pay Rate: $28/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, Bellevue, Redmond, Seattle, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Spanish (Spain)
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
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.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
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 role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
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 detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst (Speech & Voice AI)
Hiring in: Onsite (Bay Area, 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)
Hourly Pay Rate: $28/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, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in English (UK)
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
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.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Job Reference: #L1-CC1
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 role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Location: Warszawa, Poland; Madrid, Spain; Belgrade, Serbia; Bucharest, Romania; Vilnius, Lithuania; Rīga, Latvia; Almaty, Kazakhstan; Tallinn, Estonia; Tbilisi, Georgia; Yerevan, Armenia
Workplace: fully
🧠 Tech Level: Senior
🗣 Language Proficiency: Requires fluent Russian, as part of the team communication is conducted in Russian
🧾 Employment type: Full time
🌍 Candidate Location: Poland,
other EU countries, Armenia, Georgia, Kazakhstan
🕐 Working Time Zone: CET
🚀 Start: asap
🧭 Planned Work Duration: Preliminary 3 months with potential for extension
👥 Customer Description:
The customer is a global mobility and urban services platform offering ride-hailing, intercity travel, delivery, and task assistance.
🧩 Project Description:
Data-collection platform spanning a worker mobile application, back office, and backend services.
⚙️ Project Phase:
Ongoing
👨💻Project Team:
frontend, 2 backend, QA, product manager
💡 Hard Skills / Must Have:
• Functional, integration, API, and end-to-end testing across onboarding, task processing, data capture, review, earnings, and payouts
• Testing TTL, expiry, reassignment, quotas, targeting, financial flows, privacy, consent, retention, and erasure
• Experience testing financial flows, such as accruals, balances, batch payouts, and reconciliation with third-party payout providers; understanding of data privacy requirements, including consent management, data retention, and erasure.
• Experience testing integrations with internal and third-party services, such as authentication, CRM and push notifications, payout partners, LLM providers, and cloud storage (S3).
• Strong understanding of microservices, event-driven and asynchronous architectures, including retries, timeouts, idempotency, duplicate events, and eventual consistency.
• REST/gRPC API testing and automation with Postman
• Automated testing with Playwright, Cypress, Appium, or similar frameworks
• Troubleshooting using logs, metrics, traces, databases, message queues, SQL/MySQL, Kafka, Grafana, Kibana, and CloudWatch
• Ability to validate consistency across the mobile app (Kotlin), WebView, back office, backend APIs, and distributed services, and troubleshoot partial failures and partner/service outages.
• CI/CD, Docker, AWS, distributed-service testing, test strategy, release validation, and production issue analysis
✨ Hard Skills / Nice to Have:
• Experience testing media capture and upload on mobile devices (photo, voice, video, text), including device fragmentation, permissions, poor or unstable networks, resumable uploads, and on-device validation.
• Experience testing ML/LLM-powered features and validating AI-generated outputs.
📌 Responsibilities and Tasks:
• Own test strategy, test planning, and release sign-off for the platform
• Test mobile media capture and upload under real-world device and network conditions
• Verify task lifecycle, quotas, submissions, review workflows, segmentation, and isolation
• Validate financial, compliance, consent, erasure, and audit flows
• Build and maintain end-to-end and API automation in CI, including load testing
🧪 Technology Stack:
Kotlin, Playwright/Cypress/Appium, Postman, REST/gRPC APIs, SQL (MySQL), Kafka, Grafana, Kibana, AWS (S3, CloudWatch), Docker, CI/CD
📞 Interview stages:
• English check (15 minutes)
• Internal technical interview (1-1,5 hour)
• Client interview (1 hour)
• Client interview – cultural fit (45 minutes)
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What we offer
Model: B2B contract with Bonapolia - one contract, one monthly invoice
Rate: negotiated per candidate seniority and client budget
Payment: monthly invoice, paid on the same schedule the client pays us (usually 30 days)
Contract written under your country's law
We handle the client-side paperwork: MSA, NDA, invoicing
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About Bonapolia
Bonapolia is a family-owned IT staff augmentation team based in Lisbon. We build engineering teams for product companies and IT consultancies across Europe and the US.
More at
bonapolia.com
Location: Worldwide
Workplace: remote
We are looking for a Data Analyst to join our team.Requirements:Solution-oriented mindset;Understanding specifics of iGaming / Fintech;Knowledge of mathematical statistics and hypothesis testing;SQL (complex queries + optimization);Python (general principles + libraries for data analysis);Experience with Airflow, DBT, ClickHouse (DAGs + MVs);Experience with building reports in BI systems.Responsibilities:Solving business problems using data;Collecting and processing data from various sources (ClickHouse, PostgreSQL);Building batch data pipelines using Airflow and DBT;Building core dashboards and models for self service analytics in BI systems (Metabase);Formulating hypotheses and conducting A/B tests with subsequent evaluation of results;Identifying insights and making recommendations for product improvements.We offer:High salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.
УдалённоМожно работать из любой страны
УдалённоFinland; Mapbox Helsinki
УдалённоEast Africa timezone by at least 3 hours
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.
London, United Kingdom - Deliveroo; We work across three companies and several time zones, so we move fast, but we succeed together; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
Hong Kong; Nex employees may be expected to collaborate with colleagues across different time zones
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, Los Angeles, Washington DC, Boston
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, Bellevue, Redmond, Seattle, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
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, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
seniorWarszawa, Poland; Madrid, Spain; Belgrade, Serbia; Bucharest, Romania; Vilnius, Lithuania; Rīga, Latvia; Almaty, Kazakhstan; Tallinn, Estonia; Tbilisi, Georgia; Yerevan, Armenia; 🕐 Working Time Zone: CET
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