Location: Tromsø, Norway
Join the global community that enhances and elevates the experience of the most prestigious luxury brands in the world! CXG, a leading customer experience agency servicing premium and luxury brands, is looking for mission-based Customer Experience Evaluators who are existing luxury brand customers.
As a Freelance Luxury Brand Evaluator, you can perform several evaluations per month and provide your valuable feedback via a questionnaire. Your assignments will be as diverse as our luxury clients and industries, ranging from fashion and high-end jewelry to cosmetics, luxury watches, automotives, and more. Your evaluations may involve visiting a store, returning a purchase, buying a product online, or making an appointment with a store.
Please note:
Applicants should not have worked for luxury retail brands to ensure the integrity and objectivity of the evaluations.
Your feedback can influence brand strategies and help shape a brand's strategy, making this an opportunity for you to have a meaningful impact on the luxury market.
Responsibilities:
Conduct discreet evaluations of your favorite luxury brands in-store, online, or sometimes both.
Provide objective feedback about your experiences.
Choose assignments that align with your profile and interests.
Complete questionnaires after each evaluation.
Comply with all given project objectives and special requirements from the luxury brand we represent
How to Apply:
To become an evaluator with us, follow these simple steps:
Register on
live.cxg.com
and receive an email with your credentials.
Log into our platform and tell us more about yourself. Once this is done, our team will verify your profile and contact you.
Check the ‘welcome package’ and pass the general certification.
You’re now ready! You are now available for assignments and can browse and apply for any opportunities that interest you.
About CXG:
CXG is a global customer experience agency servicing premium and luxury brands. Our 12 offices around the world are able to service 70 countries. We are a team of 220+ customer experience experts and a network of over 80,000 evaluators worldwide. Learn more about what we do at
www.cxg.com
.
Enjoy the flexibility of working from our mobile application where you can search and apply for missions, take certifications, submit surveys, and much more, all on the go.
Contact us for more information!
Requirements
Must be 21 years or older.
Existing client of premium and luxury brands.
Not contractually engaged with any retail brands, to maintain integrity.
Punctual, organized, detail-oriented, reliable.
Observant, passionate about customer experience.
No prior experience needed, we look for honest feedback from real customers.
Location: Uppsala, Sweden; Örebro, Sweden; Linköping, Sweden; Jönköping, Sweden
Join the global community that enhances and elevates the experience of the most prestigious luxury brands in the world! CXG, a leading customer experience agency servicing premium and luxury brands, is looking for mission-based Customer Experience Evaluators who are existing luxury brand customers.
As a Freelance Luxury Brand Evaluator, you can perform several evaluations per month and provide your valuable feedback via a questionnaire. Your assignments will be as diverse as our luxury clients and industries, ranging from fashion and high-end jewelry to cosmetics, luxury watches, automotives, and more. Your evaluations may involve visiting a store, returning a purchase, buying a product online, or making an appointment with a store.
Please note:
applicants should not have worked for luxury retail brands to ensure the integrity and objectivity of the evaluations.
Your feedback can influence brand strategies and help shape a brand's strategy, making this an opportunity for you to have a meaningful impact on the luxury market.
Responsibilities:
Conduct discreet evaluations of your favorite luxury brands in-store, online, or sometimes both.
Provide objective feedback about your experiences.
Choose assignments that align with your profile and interests.
Complete questionnaires after each evaluation.
Comply with all given project objectives and special requirements from the luxury brand we represent
How to Apply:
To become an evaluator with us, follow these simple steps:
Register on
live.cxg.com
and receive an email with your credentials.
Log into our platform and tell us more about yourself. Once this is done, our team will verify your profile and contact you.
Check the ‘welcome package’ and pass the general certification.
You’re now ready! You are now available for assignments and can browse and apply for any opportunities that interest you.
About CXG:
CXG is a global customer experience agency servicing premium and luxury brands. Our 12 offices around the world are able to service 70 countries. We are a team of 220+ customer experience experts and a network of over 80,000 evaluators worldwide. Learn more about what we do at
www.cxg.com
.
Enjoy the flexibility of working from our mobile application where you can search and apply for missions, take certifications, submit surveys, and much more, all on the go.
Contact us for more information!
Requirements
Must be 21 years or older.
Existing client of premium and luxury brands.
Not contractually engaged with any retail brands, to maintain integrity.
Punctual, organized, detail-oriented, reliable.
Observant, passionate about customer experience.
No prior experience needed, we look for honest feedback from real customers.
Location: Trondheim, Norway; Klett, Norway
Join the global community that enhances and elevates the experience of the most prestigious luxury brands in the world! CXG, a leading customer experience agency servicing premium and luxury brands, is looking for mission-based Customer Experience Evaluators who are existing luxury brand customers.
As a Freelance Luxury Brand Evaluator, you can perform several evaluations per month and provide your valuable feedback via a questionnaire. Your assignments will be as diverse as our luxury clients and industries, ranging from fashion and high-end jewelry to cosmetics, luxury watches, automotives, and more. Your evaluations may involve visiting a store, returning a purchase, buying a product online, or making an appointment with a store.
Please note:
Applicants should not have worked for luxury retail brands to ensure the integrity and objectivity of the evaluations.
Your feedback can influence brand strategies and help shape a brand's strategy, making this an opportunity for you to have a meaningful impact on the luxury market.
Responsibilities:
Conduct discreet evaluations of your favorite luxury brands in-store, online, or sometimes both.
Provide objective feedback about your experiences.
Choose assignments that align with your profile and interests.
Complete questionnaires after each evaluation.
Comply with all given project objectives and special requirements from the luxury brand we represent
How to Apply:
To become an evaluator with us, follow these simple steps:
Register on
live.cxg.com
and receive an email with your credentials.
Log into our platform and tell us more about yourself. Once this is done, our team will verify your profile and contact you.
Check the ‘welcome package’ and pass the general certification.
You’re now ready! You are now available for assignments and can browse and apply for any opportunities that interest you.
About CXG:
CXG is a global customer experience agency servicing premium and luxury brands. Our 12 offices around the world are able to service 70 countries. We are a team of 220+ customer experience experts and a network of over 80,000 evaluators worldwide. Learn more about what we do at
www.cxg.com
.
Enjoy the flexibility of working from our mobile application where you can search and apply for missions, take certifications, submit surveys, and much more, all on the go.
Contact us for more information!
Requirements
Must be 21 years or older.
Existing client of premium and luxury brands.
Not contractually engaged with any retail brands, to maintain integrity.
Punctual, organized, detail-oriented, reliable.
Observant, passionate about customer experience.
No prior experience needed, we look for honest feedback from real customers.
Location: Toronto, Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About The Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re seeking an enthusiastic Staff Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our NoSQL data pipeline services.
This is a full-time position based out of Fivetran's Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration.
Technologies You’ll Use
Java
NoSQL Databases (MongoDB, Amazon DynamoDB, Azure Cosmos DB, Elasticsearch, Firebase)
Relational Databases (Db2 z/OS, CockroachDB)
GCP, Azure, AWS
Bazel, Github
Claude Code, ChatGPT Codex
What You’ll Do
Write and deliver code reliably, along with automated tests (unit and integration).
Optimize critical parts of the code.
Lead team projects. Identify risks and break down projects into tasks for one or more engineers with effort estimates.
Drive innovation by experimenting with new technologies and problem solving approaches.
Independently create technical designs for major features while actively seeking feedback.
Write common components to be used within the team or department.
Mentor engineers on improving all aspects of their code, according to established coding practices.
Resolve customer issues in collaboration with customer support.
Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring.
Use AI coding agents to automatically generate code for use cases such as incident resolution, feature development, testing, and investigations.
Skills We’re Looking For
Expert in Java development
Experience developing reliable software with high-volume data management under strict SLAs
Experience working with popular cloud platforms (e.g. AWS, GCP, Azure)
Expert in database internal architecture (e.g. you can explain how a database internally responds to particular events and requests)
Knowledge of popular NoSQL databases (e.g. MongoDB, Amazon DynamoDB)
Knowledge of and appreciation for clean code practices
Leverages and keeps up with the frontier of agentic AI development
Optional Bonus Skills
Experience working with MongoDB and/or Amazon DynamoDB change data capture
Experience developing data integration tools (ETL or ELT)
Experience identifying and optimizing performance bottlenecks in distributed systems
#LI-HYBRID #LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$167,548
—
$209,435 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote - India
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as our next Senior Engineering Manager , Twilio’s Segment team.
About the job
As a Senior Engineering Manager on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll guide the team in designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP).
Responsibilities
In this role, you’ll:
Own and deliver robust, high-scale routing experiences for Data platforms & pipelines for Twilio Segment.
Champion team growth and success, prioritizing mentorship and individual development.
Architect and operate always-available, complex distributed systems in cloud environments.
Guide technical decisions, articulating trade-offs between cost, performance, and reliability.
Advocate for agile processes, continuous integration, and robust automation.
Translate complex technical strategies into actionable plans for diverse stakeholders, including Product Managers and Architects.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
14+ years of engineering experience with a 5+ year proven track record managing software teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Proven experience managing multiple workstreams within the team.
Demonstrated commitment to driving an AI-centric engineering mindset and providing mentorship on leveraging AI-enabled development platforms.
Technical depth in distributed systems, high-scale ingestion, and cloud-native architecture.
Hands-on experience with high-scale messaging/streaming systems and processing engines (several thousand events/sec).
Excellent communication, problem-solving, and operational excellence skills.
Desired:
Demonstrated experience identifying, prototyping, and deploying GenAI/LLM solutions to solve real-world engineering or data processing challenges.
Expert programming experience in Go or similar object-oriented languages.
Proficiency with datastores, distributed caching, and container technologies (Docker/Kubernetes).
Experience with modern CI/CD pipelines and observability tools (Datadog, Grafana, Prometheus).
Familiarity with AI/ML technologies.
Experience managing and operating AWS infrastructure
Experience working in a geographically distributed team.
Location
This role will be remote, and based in India (only in Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi).
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: United States + International (Remote)
GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find.
The role
Senior Program Officers are the leaders of GiveWell's grantmaking. In this role, you'll take primary responsibility for a significant grantmaking portfolio, setting its strategy and sifting through the many opportunities we could fund to focus on those that matter most. Your decisions will inform the allocation of hundreds of millions of dollars to dozens of grantees. You'll also communicate externally about our work and mentor and advise other members of the team.
You will build and lead a grantmaking portfolio that brings rigor and creativity to GiveWell's hardest funding problems. You'll combine rigorous review of empirical evidence, cost-effectiveness modeling, strong grantee relationships, ground-truthing of how programs are actually delivered, discussions with subject matter experts, understanding of the broader context, and your own judgment to decide what to fund, how to structure it, and when to build something new. In the course of your work, you might approach questions like these:
How should we balance exploring and seeding new, smaller opportunities with funding cost-effective opportunities at scale today?
When the best opportunity doesn't exist yet, how do we create it, whether through co-design, seeding an implementer, or shaping broader incentives?
What is the best direction for our portfolio, and are we correctly prioritizing the programs and grantees we fund?
Where are the highest-impact opportunities to expand the portfolio while improving its cost-effectiveness?
How can we triangulate empirical evidence against expert opinion and other qualitative features, like a grantee's organizational track record?
Do a grantee's reported outputs reflect real coverage, quality, and adherence to evidence-based practices on the ground?
What research can we fund today that could substantially improve our grantmaking five years from now?
How much uncertainty are we willing to accept before making a grant, and which questions do we need to answer first?
Senior Program Officers work closely with
Senior Researchers
, an equivalently-leveled, parallel role on our team. Senior Researchers typically set the research agenda for grantmaking areas and tackle the thorniest, most open-ended questions we face, while Senior Program Officers own the grant and portfolio decisions — deciding what we fund and why, and incorporating Senior Researchers' analysis into their decisionmaking. Senior Program Officers have a research mindset, too: they're comfortable digging into a cost-effectiveness model and forming their own view of the evidence.
Team structure
Our research department is currently organized into eight teams:
Five of the teams (Water, Livelihoods, Nutrition, Malaria, and Vaccines) focus on specific areas of grantmaking.
The New Areas team focuses on interventions in domains that are new to GiveWell.
The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work.
The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing.
New Senior Program Officers typically begin on our Cross-Cutting team, where they complete a structured onboarding program with one-on-one feedback on core GiveWell skills like evidence review, cost-effectiveness analysis, and clear research writing. Onboarding usually lasts one to two months.
We generally decide which team a new hire will join by the end of onboarding. Most move onto one of our grantmaking teams (for example, Malaria, Nutrition, Vaccines, or New Areas), and some stay on Cross-Cutting. Placement is based mainly on the research team's needs. In most cases, we won't know at the time of the offer which team someone will join, but if a candidate brings specialized expertise, we may settle on a team sooner. Once placed, team members usually stay on that team long-term.
Team values
We think our research team has unique qualities:
We care deeply and centrally about finding and sharing truth.
Truth-seeking is one of our
core values
. We post
our mistakes
and we prize our team members who keep our culture of free-flowing feedback strong.
We are independent.
We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs.
We don’t waste time.
Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions.
Lean research team = huge personal impact.
In 2026,
our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future.
We work well together.
Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly.
About you
The strongest candidates typically have at least 5-10 years of professional experience, a significant portion of which was in similar or closely-related roles. Many of our senior staff have quantitatively-oriented advanced degrees, but there’s no hard academic requirement — what matters to us is that you’ve used empirical tools to make rigorous, evidence-based decisions under uncertainty, whether you’ve done that in graduate training or hands-on experience.
In addition to relevant experience with the responsibilities listed above, we'll be interested in people with strong track records in any of the following areas:
Funding, building or scaling new programs, initiatives, or organizations.
Using rigorous quantitative analysis and cost-effectiveness modeling to support decisionmaking
Building relationships with diverse stakeholders (you'll work with other funders, research organizations, NGOs, and more, so it will be important for you to have strong skill in this area)
Owning large budgets and/or grant portfolios
Excellent written and verbal communication, with an emphasis on directness and clarity
Setting and iterating on strategy in complex, fast moving environments
It’s a plus, but not required, if you have experience:
Engaging with global health, development, or related fields
Reviewing randomized controlled trials and impact evaluations
Working with governments or multilateral organizations
Gathering first-hand data to inform program design
Managing a variety of grant types, including advocacy and market-shaping initiatives
You can review our staff bios
here
for more practical insight on the backgrounds and experience of our current team.
We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality:
GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact.
You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny.
You get things done, and you'll drop what you're doing when something matters more. You drive work to conclusions efficiently, and when the evidence shifts or a higher-value opportunity appears, you’re eager to pivot.
You're entrepreneurial. When you see a gap, you want to fill it, whether that's designing a new program, finding an implementer, or setting up a new kind of funding mechanism. You make bets under uncertainty.
You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s.
You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels.
You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks.
You love a
gnarly problem
. You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned.
The details
Compensation:
We set salaries using a location-based tier system. Our pay for this role:
NYC or the San Francisco Bay Area: $308,000.
All other U.S. locations: $280,000.
International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency.
Benefits
: Our
benefits
include:
Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
Four weeks of paid time off per year
16 weeks of fully paid parental leave
Ergonomic home workstations or coworking space memberships
Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff)
Countries we can hire from:
GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for.
Visa sponsorship:
The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas.
Why we work this way:
Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals.
Flexibility:
We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another.
Travel:
Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend annual department retreats and twice-annual whole org visit weeks to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting obligations.
Start date:
We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date.
Application deadline:
We don't currently have an application deadline. If that changes, we'll update the posting. We're reviewing applications on a rolling basis, so we recommend applying as soon as possible.
Miscellaneous details:
Please note that our hiring process relies on some (not all) of the same work trials that we use in our Researcher and Senior Researcher roles (including team-specific Senior Researcher postings). If you applied to one of these roles within the last year, you should hold off on applying to others unless our team reaches out directly. If you're interested in multiple roles, please just apply once and note in your application that you'd like to be considered for the other roles, too.
After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our
FAQs page
!
We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible.
We have a strong preference for full-time applicants, but we sometimes consider applications for part-time work on a case-by-case basis. We aren’t interested in reviewing applications for contract or project-based work at this time.
If we settle on an application deadline, we’ll write it in bold here. If you’re on our website job posting and don’t see a deadline, there is no deadline. If you’re reading this on an external job board and don’t see a deadline, you should double-check on our
website
.
You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions.
About GiveWell
GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish all the work, reasoning, and uncertainties behind our funding decisions. Our
giving funds
enable donors to contribute to the most impactful and cost-effective programs our researchers identify.
GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 150,000 donors have given over $2.6 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than
340,000 lives
.
GiveWell is most well-known for recommending a small number of
Top Charities
, which currently support
seasonal malaria chemoprevention
,
insecticide-treated nets
,
vaccine incentivization
, and
vitamin A supplementation
. However, most of our research capacity and grantmaking is devoted to
cost-effective opportunities outside of those programs
.
GiveWell
grants
have:
Helped governments
navigate changes to the funding landscape
and implement high-impact health programs, like
HIV/syphilis screening and treatment
for pregnant people in Zambia and Cameroon.
Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the
Clinton Health Access Initiative’s Incubator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we
funded a program
to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program.
Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like
healthcare support and malnutrition treatment
in northern Cameroon.
Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support
treatment of clubfoot
and to
evaluate the program
.
Tested our
assumptions and refined our understanding
through further research and data collection, including
improved estimates of disease burden
and studies on
the effect of water chlorination on mortality
and
the impact of a tree-planting program on farmers’ income
.
We make our reasoning public and transparent so others can challenge it (sometimes we even
pay people to point out our errors
). We go to unusual lengths to check our assumptions and assess our impact, including
funding research
to address our uncertainties and gathering
independent monitoring and evaluation data
about the programs we support. We
change
our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s
recent interview
with GiveWell’s co-founder and CEO Elie Hassenfeld.
Additional information
We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell's
Privacy Statement for Applicants
. By completing an application exercise, you acknowledge and assent to
GiveWell's Work Trial Policy
.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're seeking a Platform Hardware Security Engineer to design and implement security architectures for bare-metal infrastructure. You'll work with teams across Anthropic to build firmware, bootloaders, operating systems, and attestation systems to ensure the integrity of our infrastructure from the ground up.
This role requires expertise in low-level systems security and the ability to architect solutions that balance security requirements with the performance demands of training AI models across our massive fleet.
Key responsibilities
Design and implement secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers)
Architect attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer
Develop measured boot implementations and runtime integrity monitoring
Create reference architectures and security requirements for bare-metal deployments
Integrate security controls with infrastructure teams without impacting training performance
Prototype and validate security mechanisms before production deployment
Conduct firmware vulnerability assessments and penetration testing
Build firmware analysis pipelines for continuous security monitoring
Document security architectures and maintain threat models
Collaborate with software and hardware vendors to ensure security capabilities meet our requirements
Minimum qualifications
Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone)
Strong understanding of cryptographic protocols and hardware security modules
Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation
Proficiency in low-level programming (C, Rust, Assembly) and systems programming
Knowledge of firmware vulnerability assessment and threat modeling
Track record of designing security architectures for complex, distributed systems
Experience with supply chain security
Ability to work effectively across hardware and software boundaries
Knowledge of NIST firmware security guidelines and hardware security frameworks
Preferred qualifications
8+ years of experience in systems security, with at least 5 years focused on firmware and hardware security (firmware, bootloaders, and OS-level security)
Experience with confidential computing technologies and hardware-based TEEs
Knowledge of SLSA framework and software supply chain security standards
Experience securing large-scale HPC or cloud infrastructure
Contributions to open-source security projects (coreboot, CHIPSEC, etc.)
Background in formal verification or security proof techniques
Experience with silicon root of trust implementations
Experience working with building foundational technical designs, operational leadership, and vendor collaboration
Previous work with AI/ML infrastructure security
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dammam, Saudi Arabia
Eram Talent is seeking a detail-oriented and analytical Financial Analyst to join our team in Saudi Arabia. The successful candidate will play a vital role in analyzing financial information, preparing reports, and supporting business decisions to drive the company's financial performance and growth. This position requires strong analytical skills, attention to detail, and the ability to work collaboratively across departments.
Key Responsibilities
Provide financial and commercial analysis to support senior management decision-making.
Review and analyze affiliate board materials and prepare management briefings.
Conduct financial analysis, due diligence, and investment evaluations.
Review impairment assessments and acquisition-related financial analyses.
Support financial reporting and IFRS compliance requirements.
Coordinate with internal stakeholders and subject matter experts on affiliate-related matters.
Ensure compliance with corporate governance policies and frameworks.
Prepare reports, presentations, and recommendations for senior management.
Mentor and support junior team members as required.
Requirements
Bachelor's Degree in Accounting or Finance.
Professional certification such as CPA, CA, or CFA.
Minimum 10–15 years of relevant experience in finance, accounting, financial analysis, consulting, or corporate advisory roles.
Strong knowledge of International Financial Reporting Standards (IFRS).
Experience in financial analysis, financial reporting, and corporate governance.
Excellent verbal and written communication skills in English.
Proven ability to prepare and present reports to senior management.
Strong stakeholder management and influencing skills.
Ability to manage multiple priorities and work independently.
Experience working in a multicultural environment.
Preferred Industry Experience
Oil & Gas
Petrochemicals / Chemicals
Industrial Sector
Power Generation
Preferred Qualifications
MBA or other advanced business degree.
Big 4 accounting or consulting firm experience.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly.
We're looking for an engineering manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.
You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly.
This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across
Claude.ai
, Claude Code, and API.
Responsibilities
Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale
Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response
Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt
Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities
Shape the roadmap with product and design, not just execute against it
Drive the compliance and platform-readiness work your customers require, partnering with security and legal
Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team
Minimum qualifications
4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools
Are comfortable executing at a fast pace to meet the expectations of our customers
Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable
Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations
Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth
Preferred qualifications
Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools
Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements
Experience building integrations, permissions, billing, or pricing infrastructure
Familiarity with data residency and sovereignty requirements across global regions
Startup experience, particularly in scaling enterprise platforms from early adoption to broad deployment
Experience in working with research to improve domain specific model capabilities
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco
Workplace: Hybrid
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Marketing team shapes how the world sees and experiences Attio. We think strategically, move fast, and obsess over quality — from acquisition to brand to product marketing. We experiment constantly, craft clear narratives, and focus relentlessly on what drives growth.
We're hiring a Senior/Lead Product Marketing Manager to join a small team with outsized impact.
Attio is defining the future of go-to-market. PMM delivers the message to the world. You'll shape how Attio shows up to our core audiences, from early-stage founders to the operators running today's category leaders. The work spans customer storytelling, product launches, and sales enablement, three levers that take a great product and turn it into a market-defining one.
You'll work directly with our founders, EPD, Sales, and Marketing. If you're looking for a builder role that owns meaningful outcomes for customers, we'd love to meet you.
WHAT YOU'LL DO
- Lead product launches end-to-end. Own positioning, messaging, and GTM strategy for new products and features. Ship launches that land with customers and move the business.
- Develop product-focused content. Build the pages and posts on attio.com http://attio.com that bring our product story to life, and partner with Support to give customers the education they need to get the most out of Attio.
- Bring customer stories to life. Create a steady library across the audiences that matter most, in whatever format the story deserves: case studies, video, web, social, or something we haven't tried yet.
- Arm Revenue to win deals. Build the training, collateral, and enablement that helps Sales close new business and Success grow existing accounts.
- Partner with EPD. Translate what we build into clear customer outcomes, and bring market signal back into how we build it.
- Champion the customer. Be the in-house expert on who we sell to, why they buy, and what they need next.
- Sharpen our competitive edge. Know the market cold: where Attio wins against legacy CRMs, where the new wave of challengers is going, and where the openings sit for our product and positioning.
WHAT YOU’LL BRING
- 6+ years of relevant experience in product marketing.
- You're a great writer. Whether it's positioning, web copy, a script, or a case study, you make every word count.
- You have great taste. Even if you're not a designer by trade, you know what great looks like and can articulate a vision to produce beautiful work.
- A bias for speed. You own projects from start to finish and move fast with teams to deliver high-quality results.
- Builder mindset. You'll join a small but mighty team at Attio. You'll define playbooks, not inherit them.
- Fluent in AI. We expect you to know how to use AI to work smarter and ship better.
You’ll stand out if you have:
- Produced beautiful work across a variety of formats, especially video and web
- Prior experience at a design-led company
WHAT WE OFFER
- A competitive range of $145,000-$240,000 (leveling to be determined during interview process)
- Equity in an early-stage tech company on an incredible trajectory
- 25 days holiday plus local public holidays
- Apple hardware
- Medical, dental, and vision coverage through Sequoia One
- 401K
- Enhanced family leave
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
WHAT DOES THE HIRING PROCESS LOOK LIKE?
Initial conversations
- 30-minute intro with a member of our Talent team
- 30-minute track record interview with our Head of Product Marketing
Core interviews
- Case study session with our Head of Product Marketing and Product Marketing Manager
- A set of working sessions exploring your approach to cross-functional relationships, marketing taste, and values alignment
Final stage
- 30-minute closing conversation with a member of our leadership team
- Offer call (if it’s a mutual fit)
Location: New York
Workplace: Hybrid
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Marketing team shapes how the world sees and experiences Attio. We think strategically, move fast, and obsess over quality — from acquisition to brand to product marketing. We experiment constantly, craft clear narratives, and focus relentlessly on what drives growth.
We're hiring a Senior/Lead Product Marketing Manager to join a small team with outsized impact.
Attio is defining the future of go-to-market. PMM delivers the message to the world. You'll shape how Attio shows up to our core audiences, from early-stage founders to the operators running today's category leaders. The work spans customer storytelling, product launches, and sales enablement, three levers that take a great product and turn it into a market-defining one.
You'll work directly with our founders, EPD, Sales, and Marketing. If you're looking for a builder role that owns meaningful outcomes for customers, we'd love to meet you.
WHAT YOU'LL DO
- Lead product launches end-to-end. Own positioning, messaging, and GTM strategy for new products and features. Ship launches that land with customers and move the business.
- Develop product-focused content. Build the pages and posts on attio.com http://attio.com that bring our product story to life, and partner with Support to give customers the education they need to get the most out of Attio.
- Bring customer stories to life. Create a steady library across the audiences that matter most, in whatever format the story deserves: case studies, video, web, social, or something we haven't tried yet.
- Arm Revenue to win deals. Build the training, collateral, and enablement that helps Sales close new business and Success grow existing accounts.
- Partner with EPD. Translate what we build into clear customer outcomes, and bring market signal back into how we build it.
- Champion the customer. Be the in-house expert on who we sell to, why they buy, and what they need next.
- Sharpen our competitive edge. Know the market cold: where Attio wins against legacy CRMs, where the new wave of challengers is going, and where the openings sit for our product and positioning.
WHAT YOU’LL BRING
- 6+ years of relevant experience in product marketing.
- You're a great writer. Whether it's positioning, web copy, a script, or a case study, you make every word count.
- You have great taste. Even if you're not a designer by trade, you know what great looks like and can articulate a vision to produce beautiful work.
- A bias for speed. You own projects from start to finish and move fast with teams to deliver high-quality results.
- Builder mindset. You'll join a small but mighty team at Attio. You'll define playbooks, not inherit them.
- Fluent in AI. We expect you to know how to use AI to work smarter and ship better.
You’ll stand out if you have:
- Produced beautiful work across a variety of formats, especially video and web
- Prior experience at a design-led company
WHAT WE OFFER
- A competitive range of $145,000-$240,000 (leveling to be determined during interview process)
- Equity in an early-stage tech company on an incredible trajectory
- 25 days holiday plus local public holidays
- Apple hardware
- Medical, dental, and vision coverage through Sequoia One
- 401K
- Enhanced family leave
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
WHAT DOES THE HIRING PROCESS LOOK LIKE?
Initial conversations
- 30-minute intro with a member of our Talent team
- 30-minute track record interview with our Head of Product Marketing
Core interviews
- Case study session with our Head of Product Marketing and Product Marketing Manager
- A set of working sessions exploring your approach to cross-functional relationships, marketing taste, and values alignment
Final stage
- 30-minute closing conversation with a member of our leadership team
- Offer call (if it’s a mutual fit)
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Inference organization serves Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add. We're looking for a Staff engineer to be the technical lead for Inference Developer Productivity: the team that makes every engineer in the org dramatically more effective at building, testing, and shipping inference software.
This is a senior IC role with broad technical ownership. You'll set technical direction for the team's toolchains, workflows, and feedback loops, and you'll be the one making the hard calls on architecture, prioritization, and tradeoffs across heterogeneous accelerator platforms. You'll pair with the team's Engineering Manager, who owns hiring and people development, while you own the technical roadmap and drive the work. You'll also partner closely with Anthropic's central Infrastructure org, where company-wide developer productivity lives, to make sure Inference's multi-accelerator reality is well served without duplicating effort.
This role is for someone who has been the technical anchor on a platform or infrastructure team before, who thinks in systems and feedback loops, and who gets real satisfaction from the moment another engineer stops fighting their environment and starts shipping.
Key responsibilities
Set technical direction for Inference Developer Productivity, owning the architecture and roadmap for toolchains, dev environments, and CI/CD across GPU (CUDA), TPU, and Trainium platforms
Be the technical owner of accelerator toolchain management: compilers, drivers, libraries, frameworks, kept current, compatible, and well-tested so Inference engineers focus on model serving instead of environment archaeology
Design and build infrastructure for efficient accelerator usage during development, including devbox environments, pre- and post-land validation automation, and shared tooling that reduces the cost of working across heterogeneous hardware
Define and instrument productivity metrics for the Inference org, building the dashboards and alerting that surface regressions early (smoke tests red for extended periods, build times creeping up, toolchain breakages) and drive them to resolution
Proactively hunt down bottlenecks, toil, and friction across Inference engineering workflows, then design and build the systems that eliminate them
Act as the technical counterpart to Anthropic's central Infrastructure org, aligning on shared developer productivity initiatives, contributing Inference-specific requirements, and making the call on build vs. adopt
Mentor engineers on the team through design review, code review, and direct collaboration, raising the technical bar without owning headcount
Minimum qualifications
8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team
Deep background in systems engineering, build/test infrastructure, or ML infrastructure, with the ability to go hands-on with toolchain issues, CI/CD pipelines, and developer workflow optimization
Experience owning toolchains or development environments for compute-intensive workloads (ML training or inference, HPC, large-scale distributed systems)
Real depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and genuine appetite to learn the others
A track record of defining and using engineering metrics to drive improvement: you've built dashboards, set SLOs on developer workflows, or led initiatives that measurably improved engineering velocity
Experience driving technical alignment across organizational boundaries, advocating for your team's needs while contributing to shared infrastructure
Strong written and verbal communication, and the ability to influence technical direction without formal authority
Preferred qualifications
Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale
Background building or running shared development environments (devboxes, remote development, ephemeral environments) for hardware-dependent workflows
Experience with CI/CD systems at scale, particularly for workloads involving accelerator hardware
Familiarity with Kubernetes-based development and job scheduling environments
Prior tech lead experience on a developer productivity or platform engineering team at a fast-growing AI/ML company
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's API is the foundation that customers, developers, and our own products build on, and it is scaling fast. We're hiring a Technical Program Manager to drive the scaling and core efficiency programs for the API stack, working at the intersection of the API and the infrastructure it runs on (compute, databases, networking, and inference).
Today this work spans many teams and many simultaneous programs, with no single person focused on cohesion across them. You'll be the center: the person who connects isolated workstreams into one coherent roadmap, makes cross-org dependencies visible before they become blockers, and creates clarity on who owns which decisions. Success looks like an API stack that scales efficiently and predictably, with programs that land because someone is accountable for the whole picture.
Responsibilities
Drive scaling and core efficiency programs for the API stack from architectural direction through sequenced, deliverable execution
Run multiple large programs simultaneously across infrastructure, networking, and the API layer
Act as the connective tissue between API, infrastructure, database, networking, and inference teams, owning cross-org dependencies end to end
Establish decision-making clarity: who owns what, where trade-offs get made, and how isolated streams roll up into one program view
Surface risks, progress, and trade-offs to engineering leadership with the right altitude and cadence
You may be a good fit if you
Have 7+ years of technical program management experience, with a track record of successfully delivering complex, cross-functional programs
Have experience with API platforms, distributed systems, and core infrastructure programs and can engage meaningfully with the engineers who design and operate them
Have driven scaling, performance, or efficiency programs for high-volume production systems, including the tradeoffs across performance, reliability, and cost
Have coordinated programs spanning many partner organizations, managing cross-team dependencies, commitments, and escalations at the working level
Are highly organized and can manage multiple parallel workstreams effectively across distributed teams
Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations, including where decision ownership is unclear
Have excellent written and verbal communication skills, with the ability to influence without authority
Are passionate about Anthropic's mission and interested in the challenges of operating AI infrastructure safely and reliably
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London
Workplace: Hybrid
Why Technology at loveholidays?
At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away.
Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset.
Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this.
The impact you'll have:
Reporting to the CPO, you will build and own a capability that loveholidays has never had before: a dedicated function that connects market intelligence to proposition development, and proposition development to commercial outcomes.
This is a new role. You will define what the loveholidays proposition should look like over a three to five year horizon: what we sell, to whom and in which markets. You will own the process of getting new propositions to market, from first validation through to launch. And you will maintain the competitive edge of our existing proposition as we scale across Europe.
You will work at the intersection of commercial strategy, customer insight and platform delivery. Your ability to translate market understanding into clear requirements for product and engineering teams, and to drive cross-functional momentum behind launches, will be central to our growth.
Your day-to-day:
Product proposition pipeline
- Translate company strategy, our vision and competitive intelligence into clear proposition expansion opportunities
- Build a deep understanding of different customer segments: their needs, motivations and the perceived and real value of our proposition to them, getting hands on with research and experiencing the product to create deep empathy and knowledge and share that broadly across the business.
- Track competitor business model and proposition shifts alongside broader market trends, and bring that intelligence into the business in a way that influences decisions
- Build business cases for new products and segments; drive initial validation with user research, platform teams and commercial leads; champion them with the relevant exec and commercial leaders
- Define what the loveholidays proposition should look like over a three to five year horizon and translate that vision into clear proposition and experience requirements for platform and commercial teams
Go-to-market
- Own go-to-market for new products and segments, coordinating across commercial and platform teams to ensure everything is in place for launch
- Define the value position and segmentation approach for each launch
- Own the assessment of initial launch performance and drive the iterations required to hit product-market fit, before handing over to our core and international operating teams to trade independently
Your skillset:
- You have significant experience in product marketing, proposition development or a closely related discipline, ideally within a consumer-facing digital business.
- You are a strong strategic thinker: you can break down complex market dynamics and translate them into a clear, well-reasoned point of view that earns buy-in across the organisation.
- You understand customers at a level that goes beyond research decks. You know how to build real insight and how to apply it to proposition decisions.
- You are an exceptional communicator, written and verbal. You can make a complex argument simple and a simple argument compelling.
- You know how to work in a matrixed organisation. You lead through influence and build momentum behind things you don't directly control.
- You have a data-driven mindset. You bring evidence to your thinking and your strategies
- You are hands-on. You can move between setting direction and doing the work, depending on what the moment requires.
Perks of joining us:
- Company pension contributions at 5%.
- Individualised training budget for you to learn on the job and level yourself up.
- Discounted holidays for you, your family and friends.
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum.
- Ability to buy and sell annual leave.
- Cycle to work scheme, season ticket loan and eye care vouchers.
At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.
The interview journey:
1. Intro to loveholidays with a member of the Talent team - 30 mins
2. 1st stage interview with CPO - 45 mins
3. 2nd stage - Culture and Values interview with CPO & CMO - 45-60 mins
4. Onsite Presentation - Present a product strategy case study to our CPO and other key stakeholders, followed by business stakeholder meets - 120 mins
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE:
We are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor.
This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical.
WHAT YOU’LL DO
- Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform
- Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation
- Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics
- Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why
- Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting
- Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production
WHAT WE’RE LOOKING FOR
- Strong backend engineering skills in Python, Go, or similar
- Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance)
- Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code
- Comfort working across the stack from frontend to backend
- Experience with observability and alerting in systems where failures have real operational consequences
- Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow
NICE TO HAVE
- Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context
- Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions
- Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language
- Experience integrating with third-party enterprise systems (WMS, ERP, or similar)
- Background in robotics or real-time systems where execution state and side-effects need to be managed carefully
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE:
We are looking for a Software Engineer to own the device software and data pipeline for our UMI data collection devices - handheld gripper systems used by human operators to demonstrate manipulation tasks. The data they produce is used to train our robots, so the quality of what you ship determines the quality of robots we deploy.
This is a deeply technical, hands-on role. You will write production-grade device software, build reliable sensor fusion and recording pipelines, and own the validation tooling that keeps our training datasets clean. You will work closely with hardware, AI, and data collection teams.
WHAT YOU’LL DO:
- Develop and maintain device software across the full episode lifecycle: session initialisation, per-sensor stream management, episode recording, and graceful shutdown
- Integrate and synchronise sensor streams - wrist and head cameras, 6-DOF pose trackers, gripper aperture encoders, and optionally force/torque sensors - into temporally-aligned, policy-consumable trajectories
- Define and maintain the data contract between UMI devices and the AI team: stream formats, episode packaging, metadata schemas, and the interface between raw recordings and training pipelines
- Build and maintain data validation tooling that detects dropped frames, timing jitter, pose tracking loss, image quality degradation, and sensor faults before corrupt episodes enter the training dataset
- Own operator-facing device software: status indication, start/stop/cancel episode controls, and clear feedback when a session needs to be retried
- Support field data collection sessions - deploying devices to operators, validating data quality in situ, and iterating quickly when issues surface during collection
- Debug integration failures on device hardware: camera driver issues, bus bandwidth saturation, tracker calibration drift, compute thermal throttling, and storage write failures mid-episode
WE’RE LOOKING FOR:
- Experience in embedded or device-level software in a robotics or sensing context - writing code that runs on the device, not just talking to it
- Proficiency in C++ and/or Python for real-time sensor drivers, inter-process communication, and data recording pipelines
- Solid understanding of multi-modal sensor synchronisation - timestamps, hardware triggers, clock drift - and the practical consequences of getting it wrong for downstream ML
- Familiarity with camera pipelines and the difference between what a sensor reports and what actually lands on disk with correct timing
- Strong instincts around data quality and dataset hygiene - you are uncomfortable shipping episodes with frame drops, tracking loss, or misaligned streams
- Proven ability to debug on real hardware: you read logs, attach profilers, and can diagnose whether a problem is a driver, a bus, or a timing issue
NICE TO HAVE:
- Experience with 6-DOF pose tracking systems (VIO, optical trackers, or similar) and their common failure modes
- Familiarity with ML training data formats and what an AI team actually needs from a recorded episode - understanding the consumer of the data you produce
- Exposure to operator-facing tooling for data collection: session management, per-episode quality summaries, rejection and retry workflows
- Experience scaling device software from a small number of prototype units to many devices operated by non-engineers in the field
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Remote - Europe; Remote, Worldwide
Workplace: remote
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 the essential functions.
OVERVIEW
MAIN PURPOSE OF THE JOB
We are looking for a Tech Linguistic Tester, you will primarily be proofreading and editing content already localized to your native language, making sure you catch any errors in the content, such as: grammar, typos, syntax, punctuation, capitalization, political incorrectness, inconsistencies, and extra spaces between words or characters. You will sometimes be translating content from English to your native language. You will also be checking UIs for functional issues.
Responsibilities:
Write and report relevant bugs and errors using best practices through internal database system.
Ability to undertake and prioritize tasks and issues quickly and efficiently.
Native language skills and cultural awareness of native country.
Good oral and written communication.
Highly organized with attention to detail and a commitment to quality.
QA various products in by accurately following testing instructions and test cases
Discover and report defects (bugs) using client specific bug tracking tools
Evaluate translations in the context of software, mobile apps and documentation.
Be a subject matter expert for linguistic issues in the target language; be able to research and resolve linguistic questions
Adhere to project-specific quality standards, trademarks, style guides and client-preferred checklists and glossaries
Troubleshoot basic problems; be able to communicate effectively and escalate testing issues
Complete assigned tasks in a timely manner and of high quality.
Requirements:
Education:
Bachelor's degree (B. A.) from a college or university in related field, or equivalent combination of education and experience.
Experience:
Native-level or fully bilingual fluency (both spoken and written language) in required language(s)
Up-to-date awareness of current and common technical language usage in the target language
Strong English skills, both written and verbal
Experience with MS applications (Outlook, Word, Excel, PowerPoint);
Ability to navigate networks and websites with different browsers
Basic knowledge of PC-hardware (desktop and laptop)
Basic knowledge of smart phones (iPhone or Android)
Familiarity with Android and iOS operating systems.
3+ years professional translation & localization experience.
Familiarity with native culture and trends.
Avid user of social media with familiarity with Facebook Family of Apps.
Experience with consumer devices that provide utility like messaging, health, fitness, calendar, organization.
Key competencies:
Strong Company & Industry Awareness
Can establish & Develop Processes and procedures as part of a client program.
Strong Problem-Solving skills as to arrive at optimal solution.
Shows excellent Time Management skills
A Plan-Do-Check-Act cycle approach to tasks and workloads
Takes Ownership of deliverables
Other Skills:
Be organized and able to work in a fast-paced environment
Candidates with Localization/QA/translation experience or with advanced computer skills are preferred
Location: Poland; Czechia; Spain
Dentons Business Services EMEA
is the operational backbone of Dentons, supporting the world's largest law firm in delivering exceptional service to clients across Europe, the Middle East, and Africa. As a crucial component of Dentons' global network, our EMEA business services team plays a key role in driving efficiency, innovation, and collaboration.
At Dentons Business Services EMEA, we are committed to excellence in supporting legal professionals with cutting-edge solutions. Our dynamic and diverse team collaborates seamlessly to provide a wide range of services, including finance, IT, human resources, marketing, and more. We pride ourselves on fostering a culture of continuous improvement and adaptability.
Job Purpose
The Senior Legal Engineer plays a key role within the Legal Tech Enablement team, designing and implementing legal technology solutions that improve service delivery across Dentons Europe. The role combines technical expertise with legal process knowledge to deliver automation, workflow optimisation, and innovative tools for lawyers and clients. This is an opportunity to play a visible role in shaping how legal services are delivered across a leading international law firm. The successful candidate will work at the intersection of law, technology, and innovation, leading meaningful change, delivering practical solutions, and helping scale legal tech capability across multiple jurisdictions.
Senior Legal Engineers lead legal engineering projects from concept to deployment, collaborate closely with practice groups to understand requirements, and mentor Legal Engineers and Junior Legal Engineers. They act as subject matter experts and contribute to the strategic direction of legal technology initiatives.
Responsibilities include developing automation solutions, implementing legal technology platforms, improving legal workflows, building custom applications and integrations, and managing relationships with selected technology vendors. The role also involves stakeholder engagement, solution design, user training, and ensuring the quality and scalability of deployed systems.
Some positions may also involve specialised responsibilities in eDiscovery and litigation support.
This role offers opportunities to develop leadership capabilities, deepen expertise in legal technologies, and contribute to the firm’s innovation strategy.
Responsibilities:
Lead end-to-end delivery of legal engineering projects (automation, document assembly, data extraction, custom applications).
Analyse legal workflows with practice groups and design technology solutions to optimise processes.
Build and configure solutions using automation and low-code/no-code platforms.
Prepare technical specifications, implementation plans, and documentation.
Test, troubleshoot, and maintain deployed solutions.
Work closely with partners, lawyers, Technology, and Business Development teams to deliver solutions.
Act as the main point of contact for vendors, managing implementations and training.
Present solution designs, run user testing, and support adoption across teams.
Contribute to the legal technology roadmap and evaluate new tools.
Support business cases, ROI analysis, and proof-of-concept initiatives.
Identify opportunities to scale successful solutions across practice areas.
Mentor and guide Legal Engineers and Junior Legal Engineers.
Foster collaboration and knowledge sharing across the team.
Maintain documentation, monitor solution performance, and implement improvements.
Stay up to date with legal tech developments and share insights with the team.
Requirements
Bachelor’s degree in Law, Computer Science, Engineering, Social Sciences, or a related field.
Advanced degree or certifications in legal tech, innovation, or technology (preferred).
4+ years of experience in legal technology, legal engineering, legal operations, software development, or a related field in delivering legal tech solutions from concept to deployment.
Hands-on experience with workflow automation, document automation, or legal applications.
Experience mentoring junior team members or working in client-facing/consulting roles is a plus.
Strong understanding of legal workflows and service delivery. Ability to assess technical feasibility while keeping user experience and business value in focus.
Experience with legal technology platforms (e.g., document automation, workflow tools, legal AI).
Familiarity with process mapping, software development lifecycle, and testing practices.
Strong analytical and problem-solving abilities.
Lead change management efforts to ensure new tools and workflows are embedded successfully across teamsExcellent communication skills, including the ability to explain technical concepts to non-technical stakeholders. Ability to collaborate across multidisciplinary teams and influence stakeholders. Build trusted relationships with partners and senior stakeholders to identify opportunities and drive adoption of legal technology solutions.
Highly organised, proactive, and comfortable working in dynamic environments.
Mentorship mindset with a collaborative, client-focused approach.
Benefits
Remuneration and benefits package will reflect the successful candidates experience and country where hired.
Uppsala, Sweden; Örebro, Sweden; Linköping, Sweden; Jönköping, Sweden
Trondheim, Norway; Klett, Norway
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