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.
Summary
GiveWell's senior research staff are the key decision makers for hundreds of millions of dollars in grantmaking, and we think growing that team is one of the most important things we can do to increase our impact. We're seeking one or more Senior Recruiters to help us do that.
Finding senior research staff is a hard problem for a couple reasons:
The talent pool for GiveWell researchers basically doesn’t exist as a defined group. You can’t go to one type of program, industry, or a few obvious competitors to build a reliable pipeline. The people who succeed here come from a wide range of backgrounds — economics PhDs, policy analysts, management consultants, medical doctors, neuroscientists, primate biologists, etc. — and the roles don't have clean analogues elsewhere. What they share is a set of hard-to-measure cognitive skills and quantitative fluency that doesn’t show up reliably on resumes.
Our process is very competitive. The offer rate for senior research roles is less than one in a thousand.
We want you to figure out where to find strong candidates, improve our assessment process, and do the hands-on work of sourcing, screening, and closing offers. You'll work very closely with our research leadership team. We're most excited about finding someone who helps us make better decisions about finding great talent — and hire them faster.
The role
You'd work closely with our manager, research recruiting and the team to own recruiting for some of our
Researcher
, Program Officer,
Senior Researcher
, and Senior Program Officer roles. A few problems we’ll want you to think about:
After candidates apply, is our assessment process effective?
Our offer rate for senior roles is below 0.1%. That might mean we’re extremely selective. It might also mean we’re losing good candidates somewhere in the funnel. You’ll dig into our data and find answers (How well do early screening scores predict work trial performance? What are the most common rejection reasons, and are they signal or noise? How did past hires actually turn out?). You’ll help us develop good heuristics about what to do in situations when candidates’ signals are mixed.
Where do we even find good candidates?
The ideal GiveWell researcher doesn’t come from one degree program, industry, or competitor. You’ll think about where to look and go after them. And you’ll continually develop new pipelines with creative methods (running structured referral conversations with our researchers, scouring conference guest lists, using sourcing tools creatively, or maybe vibe-coding your own).
How can we use data to make better decisions?
Right now, we don’t have great visibility into which sourcing channels, process changes, or pipeline stages are driving results. You’ll track data, run analyses, and help us make evidence-based decisions about where to put effort. In some cases, you might find out that we don’t have the right data architecture to answer important questions, so you’ll build it.
What are ways our hiring process could be much better?
This is harder to describe because it covers ~every strategic and tactical question we face. We want you to be thinking about all of it. Things like: Are we overweighting particular qualities and losing promising candidates without noticing? How could we run experiments on our hiring processes (randomization, A/B testing, sourcing campaigns) that actually give us useful information?
You’ll also do a fair amount of bread-and-butter recruiting work: screening applications, writing outreach emails, and interviewing candidates. We think that sort of work will keep you close to the data and help you develop strong pattern recognition.
About you
You’re excited about GiveWell's mission and methods.
You think GiveWell is doing something special, not just generically “doing good.” You can explain what makes GiveWell different.
You’re careful and truth-seeking with your beliefs.
For example, if a hiring manager says we need to find “scrappy” people, you’re likely to ask “Why do you believe that?” or “What does scrappy mean?” instead of uncritically agreeing. You’re quick to update your beliefs by picking up new information and asking sharper questions. You can probably tell us about times when you’ve changed your mind about important things.
You're unusually curious and analytical.
When you get invested in a question, you keep trying to find the right answer after many other people would have stopped. You ground your beliefs in data when possible and hedge appropriately when you’re not confident.
You have very high standards.
We have a high competence bar for our research team, and you’ll need to uphold that and own your decisions about applications that do and don’t meet our bar.
You’re entrepreneurial and high agency.
You figure things out. You have a history of solving problems. You’re very resourceful. You’re more likely to make the mistake of moving too fast than moving too slow. You'd rather try something imperfect and learn from it than wait for a perfect plan.
You're direct.
You say what you actually think even when it's uncomfortable.
You’re good at communicating in writing.
You're concise, clear, and you don't hide behind jargon. You probably enjoy an effective memo.
If you think people who know you well would agree that many of the qualities above describe you, we’d like you to apply.
Qualifications
We care much more about the qualities described above than any specific background. That said, some things that might help:
Experience in recruiting, talent operations, research operations, or a generalist role at a mission-driven organization
Comfort with data — spreadsheets and basic quantitative analysis
Strong written communication
Experience working closely with executive-level leadership
Familiarity with global health, development economics, effective altruism, or adjacent fields is a plus but not required
Recruiting experience is welcome but not required. Some of the best people in comparable roles at peer organizations came in without it. And we’ll support you if you want to move on to other things at GiveWell after making progress on our research recruiting. There's always a place here for generalists who are good at solving hard problems, and we have a history of developing high performers into different roles across our org.
Key Questions
What are some of the reasons I might not like this role?
GiveWell has a unique approach to hiring,
and it’s possible that you’ll dislike it. For example, we tend to lean heavily into work trials and finding empirical evidence about the candidates we hire. We are rigorous in how we evaluate candidates, and hold really high standards, which can lead to longer hiring rounds with more steps than what is typical elsewhere. We’re extremely quality focused and would rather hold out for the right candidate than settle on someone who’s “mostly right.”
You’ll need to deeply understand our work and culture to succeed.
We want you to be able to speak with candidates about our work and what makes GiveWell special, and provide useful input to hiring managers when we’re developing assessments and evaluating candidates.
You will be expected to hunt, not just farm.
While we receive a high volume of inbound applicants, we are looking for recruiters who effectively source and attract candidates, not just wait for them to trickle in.
You’ll be collaborating with leaders with high expectations.
We’re a founder-led, performance-driven culture and you’ll be collaborating with our executive team regularly in this role. Strong partnerships will depend on you building trust, leading with curiosity, and reliably delivering results.
You’ll be running hiring rounds from start to finish.
We consider this a full-lifecycle role, which means you should be comfortable with things like scheduling, building out roles in Greenhouse, and day-to-day coordination with candidates. While you might have support from more junior colleagues, you’ll be expected to capably manage your own pipelines.
What does growth look like in this role?
GiveWell’s growing, and you’re going to help shape that. Your growth will be tied directly to the impact created by the people you help hire. Beyond day-to-day recruiting, you’ll have the opportunity to work on more strategic projects, including shaping our overall hiring approach and improving our employer brand. In this role you’ll also have significant exposure to executive leadership and many corners of our business. The talent acquisition team is doubling in 2026, which means there are clear opportunities for mentorship and potentially growing into a team leader.
What does this interview process entail?
We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. Past versions have looked like:
Simulating a hiring manager intake conversation
Walking through a sourcing strategy for a hard-to-fill role
Reviewing a job description or process and offering a critique
Writing a candidate outreach email or internal communication
We'll share more specific details if we invite you to move forward, but our current plan is:
Screen with a member of the Talent Acquisition team
Career history interview with the Manager, Talent Acquisition
Work trial, which will include live conversations and written work
Values interview with VP, People
Final conversation with Manager, Talent Acquisition
References
Team structure
This role sits on GiveWell's People team and reports to our Manager of Talent Acquisition. Day-to-day, you'd work in close partnership with our Research Program Director, who owns senior research hiring decisions and is part of our Research Leadership Team. You'd collaborate regularly with other members of the People and Research teams on sourcing and candidate evaluation.
We'll likely also want you to attend research team meetings, develop 1:1 relationships with research team members, and potentially join research team-building retreats. We’ll be interested in ~any kind of team embedding that helps you build useful context.
The details
Compensation:
NYC or the San Francisco Bay Area: $149,600
All other U.S. locations: $136,000
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)
Location:
You must be based in the United States and can choose to work remotely, hybrid or in person at one of our offices located in Brooklyn, NY or Oakland, CA.
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:
GiveWell hosts “Visit Weeks” twice a year in our Oakland, California, office and up to two annual departmental retreats. Attending these in-person opportunities will be important to fulfilling the goals of this role. Occasional additional travel may be helpful for conferences or recruiting events.
Visa sponsorship:
We are not currently able to sponsor visas for this role.
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.
We don't want to miss candidates who could do great things at GiveWell. If you're on the fence about applying because you meet some but not 100% of our preferred qualifications, we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. We value our team's diversity in all respects and desire to maintain a work environment free of harassment or discrimination. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org.
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
.
seniorUnited States + International (Remote); You must be based in the United States and can choose to work remotely, hybrid or in person at one of our offices located in Brooklyn, NY or Oakland, CA
Location: New York City, NY | Seattle, WA; 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
The Growth team's job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. Growth Data Scientists partner closely with growth product managers, engineers and marketers on experimentation, opportunity sizing, strategic analysis, metrics and personalization.
We're hiring for two focus areas within this posting. Tell us in your application which one fits you best, or if you're excited about both:
Growth generalist:
a strong generalist across marketing and product who drives experimentation, opportunity sizing, marketing measurement and strategic analysis.
Personalization:
building and evaluating the models and experiments that pick the right message, offer or product experience for each user, across lifecycle marketing, onboarding and in-product experiences.
We work in an AI-native way. Much of our analysis, reporting and experiment work is done with Claude as a collaborator, and we expect you to push that further.
Responsibilities
Across both focus areas, you will:
Design and analyze A/B tests and quasi-experiments across activation, retention and monetization, and turn the results into a clear call on what to ship
Define systems of metrics and guardrails that tie short-term wins to long-term value
Present analyses and recommendations to technical and non-technical audiences, leading with the decision and keeping the numbers in support
In the Growth generalist focus, you will also:
Size opportunities and make the case for what Growth should work on next
Measure the incrementality of paid and lifecycle marketing with holdouts, geo experiments and other causal methods, and turn the results into budget and channel recommendations
Tie acquisition and lifecycle programs to long-term value (LTV, CAC and payback)
In the Personalization focus, you will also:
Build and ship targeting and personalization models that decide which users get which message, offer or experience, working closely with growth product managers and engineers
Design the tests that evaluate and iterate on our personalization strategy, including holdouts, bandits and off-policy estimates where A/B tests aren't practical
You may be a good fit if you have
7+ years of experience in data science, with significant time on growth, marketing, lifecycle or personalization problems
Deep expertise in experimental design and causal inference, including A/B testing at scale, holdouts and quasi-experimental methods when randomization isn't available
Experience analyzing growth funnels: acquisition, activation, retention and monetization
Proficiency with Python and SQL
Clear written communication, and a track record of recommendations that changed priorities or what a team built
A bias for action and comfort in ambiguous, fast-moving environments
An interest in Anthropic's mission of building safe and beneficial AI
For the Growth generalist focus, we're also looking for:
Experience measuring marketing: incrementality testing, holdouts or geo experiments, and LTV/CAC for paid or lifecycle programs
For the Personalization focus, we're also looking for:
Hands-on experience building and shipping machine learning models that drive user-facing decisions (targeting, ranking, recommendation or personalization)
Strong candidates may also have
Experience defining activation metrics and lifecycle measurement for a product-led business
Experience with experimentation platforms and meta-analysis across experiment portfolios
Background at consumption-based, multi-product companies serving both consumers and enterprises
Experience using LLMs or coding agents in your own analytical workflow
Experience with marketing mix modeling, geo experiments or synthetic controls
Experience running contextual bandits, uplift models or similar decision systems in production
Experience with lifecycle or CRM personalization (email, push, in-product messaging) and its measurement problems, such as global holdouts and interference between campaigns
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:
$285,000
—
$380,000 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: Berlin, Germany; Helsinki, Finland; Stockholm, Sweden; Tallinn, Estonia
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the Role
We’re building a new Feature Engineering Platform that will be the front door to ML development at global scale. As a Software Engineer on this team, you’ll help build a seamless experience for ML practitioners across the company — from experimentation and exploration to deployment and monitoring.
Our mission is to make machine learning accessible and intuitive without compromising on power or performance. You’ll work on a layered platform that supports both high-level declarative workflows and lower-level imperative APIs, all integrated into the environments our users already work in (like notebooks and internal sandboxes).
What You’ll Do
Build and evolve APIs, SDKs, and platform integrations that power feature engineering workflows.
Help shape user-facing tools to make the platform approachable for all skill levels.
Collaborate across the ML lifecycle — from data ingestion to feature serving — and integrate tightly with our central Data Control Plane.
Contribute to platform reliability, testing, observability, and operational excellence.
Qualifications
Solid engineering background, ideally in platform, data, or ML-adjacent teams.
Comfortable working with backend systems, APIs, and ideally some exposure to distributed compute (e.g. Spark, Flink).
Empathy for users and interest in building abstractions that remove friction.
Curious and collaborative mindset — eager to learn from others and contribute broadly.
Experience with ML tooling, or data pipelines is a plus.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: London; New York; Edinburgh; Paris; Toronto; Montreal
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
As a Member of Technical Staff in the Safety for Agents team, you will make a meaningful impact on the development of better, fairer, more trustworthy, and more secure Large Language Models (LLMs). Your primary focus will be on data generation, post-training algorithms, and evaluation methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams.
This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management.
It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions to these, and a desire to dive into messy data and results. You will be on a small team with a lot of autonomy and decision-making power, responsible for making the next generation of LLMs better for society as a whole.
Please Note: The existing team work in offices in London, Edinburgh, Paris, Toronto, and New York, but we also embrace being remote-friendly! For this role you need to have ~50% working day overlap with UK/EU timezone (e.g. US East is fine) but there are otherwise no restrictions on where you can be located for this role.
Key responsibilities:
- Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.
- Extremely strong software engineering skills.
- Strong expertise in designing and conducting data collection tasks, including working with human annotators.
- Experience analyzing datasets with respect to their quality, biases, and suitability for training ML models.
- Hands-on experience training large language models (LLMs) on distributed training infrastructures.
- Familiarity with evaluating and improving the generalizability and robustness of ML systems.
- Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).
- Excellent communication skills to collaborate effectively with cross-functional teams and present findings.
- One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: London, United Kingdom
Workplace: hybrid
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all. Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning. We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success. Our world-leading network and state-of-the-art institutions power the up skilling of our students worldwide.
Summary of role:
We are seeking a proactive and detail-oriented Paralegal to support our legal team with a broad range of legal and administrative tasks. This is an excellent opportunity to work within a collaborative, fast-paced environment, contributing to key legal processes including KYC/onboarding, company secretarial matters, and ad hoc legal projects.
Responsibilities:
Responding to KYC and onboarding queries from banks, corporate service providers, insurers, and auditors
Reviewing and proofreading legal documents to ensure accuracy and consistency
Assisting with company secretarial duties, including:
Drafting meeting minutes
Registering share transfers and resolutions
Maintaining and updating group structure charts
Conducting due diligence on group entities where required
Liaising with corporate service providers
Supporting legal counsel on ad hoc projects and tasks
Managing and maintaining data rooms
Providing general file management and administrative support
Requirements
Essential
Qualifications/Education:
LLB degree or completion of the GDL
Strong academic background
Skills & Knowledge:
Excellent attention to detail
Strong organisational and workload management skills
Ability to work in a fast-paced environment
Ability to work under pressure and meet tight deadlines
Proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook)
Experience:
Minimum of 2 years’ experience as a Paralegal
Desirable
Qualifications/Education:
Legal Practice Course (LPC)
Skills & Knowledge:
Experience in litigation and/or corporate law
Experience:
Experience within a corporate department of a law firm or an in house legal team
What we offer:
The role is primarily remote, with occasional office attendance as required.
Hybrid working -
most roles offer hybrid or flexible arrangements to support work life balance.
Contributory Pension Scheme -
5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions.
Season Ticket Loan (T&C's apply) -
spread the cost of your commute with an interest-free travel loan.
Training & Development opportunities (T&C's apply) -
access to short courses via FutureLearn and Group-wide professional development programmes.
Staff Discount Scheme -
via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc
Employee Assistance Programme -
confidential support for your wellbeing, whenever you need it.
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Our data privacy policy can be viewed
here
.
Location: London, United Kingdom
Workplace: hybrid
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all. Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning. We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success. Our world-leading network and state-of-the-art institutions power the up skilling of our students worldwide.
Summary of role:
We are seeking a proactive and detail-oriented Paralegal to support our legal team with a broad range of legal and administrative tasks. This is an excellent opportunity to work within a collaborative, fast-paced environment, contributing to key legal processes including KYC/onboarding, company secretarial matters, and ad hoc legal projects.
Responsibilities:
Responding to KYC and onboarding queries from banks, corporate service providers, insurers, and auditors
Reviewing and proofreading legal documents to ensure accuracy and consistency
Assisting with company secretarial duties, including:
Drafting meeting minutes
Registering share transfers and resolutions
Maintaining and updating group structure charts
Conducting due diligence on group entities where required
Liaising with corporate service providers
Supporting legal counsel on ad hoc projects and tasks
Managing and maintaining data rooms
Providing general file management and administrative support
Requirements
Essential
Qualifications/Education:
LLB degree or completion of the GDL
Strong academic background
Skills & Knowledge:
Excellent attention to detail
Strong organisational and workload management skills
Ability to work in a fast-paced environment
Ability to work under pressure and meet tight deadlines
Proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook)
Experience:
Minimum of 2 years’ experience as a Paralegal
Desirable
Qualifications/Education:
Legal Practice Course (LPC)
Skills & Knowledge:
Experience in litigation and/or corporate law
Experience:
Experience within a corporate department of a law firm or an in house legal team
What we offer:
The role is primarily remote, with occasional office attendance as required.
Hybrid working -
most roles offer hybrid or flexible arrangements to support work life balance.
Contributory Pension Scheme -
5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions.
Season Ticket Loan (T&C's apply) -
spread the cost of your commute with an interest-free travel loan.
Training & Development opportunities (T&C's apply) -
access to short courses via FutureLearn and Group-wide professional development programmes.
Staff Discount Scheme -
via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc
Employee Assistance Programme -
confidential support for your wellbeing, whenever you need it.
We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search.
GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
Our data privacy policy can be viewed
here
.
Location: Hong Kong
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
About The Team
We are a passionate team of highly skilled engineers and top-tier designers based in Hong Kong. We develop diverse games for the
Nex Playground
, covering genres like arcade, action, rhythm, puzzle, and educational. Our hit titles include
Starri
,
Bluey
,
Mirrorama
,
Cookie Monster
, and
Tumbobots, Doodle Heads, Elmo Says,
etc.
This is a place to collaborate with passionate developers, unleash your creativity, and deepen your engineering skills. You will participate in 1-3 game projects every year, as a game engineer who works on both engineering and product design.
What You Will Do
Software Engineering:
Build game architecture, UI/UX, gameplay logic, motion control algorithms, and internal tools.
Product Design:
Participate in game design, rapid prototyping, and iterate based on playtesting feedback.
Tech Research:
Explore new technologies and share knowledge with the team to drive collective growth.
Leadership:
(For Senior level) Lead project development, collaborate across disciplines, make key technical decisions, and track progress.
Who We Are Looking For
Growth Mindset:
Humble and eager to learn. Active in side projects (open-source softwares, indie games etc.) is a plus.
Innovation:
Creative and loves exploring fresh ideas.
Audience Focus:
Interested in creating family-friendly games for kids, parents, and seniors. (Being a parent is a plus!)
Passion for Quality:
You care deeply about details and aim for world-class quality.
Engineering Best Practices:
You write clean, maintainable, and robust code.
Tech-Savvy:
Broad interest in technology (App dev, Web, Databases, UI/UX, Animation).
Optimization:
Skilled in optimizing memory, GPU, CPU and shader usage.
Unity Expertise:
Familiarity with Unity. Experience shipping high-quality games is a bonus.
Troubleshooting:
Able to fix compilation and runtime errors effectively.
Prototyping:
Able to build rapid prototypes in Unity.
Tool Creation:
Experience building Unity tools (e.g., level editors, data visualizers).
Communication:
Clear expression of technical details. Experience teaching or mentoring others is a plus.
Leadership:
(For Senior level) Proven ability to lead a team to deliver high-quality results.
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
The Chinese Growth Center drives growth across Chinese-speaking markets. This role sits close to the center of decision-making, supporting the Head of CGC directly on high-priority cross-functional initiatives.
The immediate focus is the practical application of AI in business operations — identifying where AI can drive real productivity gains, and making it actually happen. Beyond the AI workstream, this role will evolve to cover other strategic initiatives over time.
This is a role for someone who takes ownership end-to-end. You will be expected to get your hands dirty, move fast, and deliver — not just coordinate.
What You’ll Be Doing
Drive the full lifecycle of AI initiatives hands-on — from scoping and tool research to solution design, testing, and rollout
Work across teams to embed AI tools into real business workflows and track measurable outcomes
Identify blockers early and solve them proactively, without waiting to be directed
Stay current on emerging AI tools and synthesize findings into repeatable best practices for the team
Own progress tracking and delivery management for key initiatives, keeping milestones on track and quality high
Build lightweight dashboards and reporting to keep the Head of CGC informed and decisions moving
Pick up new initiatives quickly, build context fast, and deliver in ambiguous or fast-changing situations
Surface collaboration friction across teams and drive alignment where needed
What We Look For In You
Bachelor's degree or above
Deep AI User, with practical experience using AI tools (e.g. ChatGPT, Claude, Cursor, Midjourney) — able to speak to specific use cases and outcomes
Strong ownership and hands-on ability to work steadily under pressure, managing multiple workstreams in parallel and still deliver quality
Clear communicator who is able to collaborate and convey work process well to various stakeholders
Proficiency in English as a working language, and fluent in Mandarin in order to service Mandarin-speaking clients (as required in the role)
Nice to Haves
Experience in internet, content, e-commerce, or growth-related roles
Background in cross-functional project management or initiative delivery
Hands-on with Prompt Engineering or workflow automation tools (Make, Zapier, n8n)
Familiarity with Chinese-speaking market dynamics and user behavior
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Team
We sit on the front lines of OKX's security and compliance mission. Our charter is to build the flexible, scalable, and intelligent AI systems that detect and prevent identity fraud, account takeover, and large-scale organized abuse — in real time and at the scale of a global financial platform. We own the core identity-risk capabilities that decide, millions of times a day, whether an account can be trusted: identity trust signals, behavioral risk modeling, relationship and cluster intelligence, and face, liveness and document verification. We work shoulder-to-shoulder with Product, Risk, Compliance, and Engineering to turn the hardest adversarial problems in crypto into production-grade defenses that protect good users and the open financial system.
About the Role
We are looking for a Senior AI Engineer to design, build, and own key identity-risk and trust models at OKX. You will build models that combine identity verification results, device and geo data, and user behavior into trust and risk signals, and use graph and clustering methods to uncover organized, industrialized fraud. This is an end-to-end, research-to-production role: you will own algorithms in your domain and ship models into real-money, high-risk, large-scale production environments.
You will be a hands-on technical contributor who works closely with Product, Risk, and Compliance, and who helps raise the technical bar of the team. Your domains span:
Identity trust & risk modeling
— fusing verification scores, device, geo, and behavioral data into identity-quality and trust signals.
Cluster & relationship intelligence
— graph and clustering methods to identify account farms, mass registration, and coordinated attacks.
Behavioral risk modeling
— behavioral features and sequence models for account takeover and abnormal-session detection.
Biometric & multimodal signals
— face embeddings, liveness/anti-spoofing, DeepFake and injection defense, document forgery and AIGC detection, used as inputs to identity trust and the risk layer.
AI agents
— applying agentic AI to scale investigation, detection, and operational defense.
What You'll Be Doing
Build identity trust & risk models:
Design and ship coarse-to-fine risk models that fuse face/liveness/document verification scores, device, IP and geo signals, and behavioral data, for high-concurrency real-time decisioning.
Uncover organized
fraud
with graph & clustering:
Build entity graphs across accounts, devices, faces, documents and templates, and apply community detection, clustering, and GNN methods to detect fraud rings and large-scale abuse.
Develop behavioral features & sequence models:
Engineer real-time and offline behavioral features, and build sequence models to detect account takeover, bot/script behavior, and abnormal sessions.
Leverage biometric & multimodal signals:
Turn biometric features (face embeddings, face quality, liveness and anti-spoofing results) and document-forgery and DeepFake signals into reliable identity-trust inputs for risk decisions, including biometric similarity for cross-account linkage and duplicate-identity detection. Work with the face, liveness, and document teams, or build models yourself.
Drive execution & collaboration:
Deliver measurable results while managing ambiguity; partner with backend, product, infrastructure, risk, and compliance teams to integrate models into the production decision chain. Own metric definitions, the balance between false positives and missed fraud, pass rate, monitoring, and drift handling.
Advance applied R&D:
Experiment with graph learning, multimodal fusion, and AI agents; stay current with academic and industry advances and translate them into practical defenses.
Raise the technical bar:
Contribute to design reviews, share applied-AI best practices, and mentor junior engineers.
What We Look For
5+ years
of hands-on experience building risk-control, fraud-detection, or identity-trust models, including significant experience deploying ML systems into production.
Graph & clustering expertise:
Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection.
Behavioral modeling:
Solid experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines.
Deep AI/ML expertise:
Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems.
Strong technical & coding skills:
Strong coding ability (e.g., Python, SQL) and the system-level thinking to design end-to-end solutions with high availability and low latency.
Adversarial mindset:
Understanding of how fraudsters adapt, and how to evaluate and iterate defenses against evolving attacks.
Collaboration:
Strong communication skills, with experience working across engineering, product, and risk teams.
Education:
Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field.
Preferred Qualifications
Experience in identity verification, KYC/KYB, AML, face-payment or payment risk control, or biometric security.
Hands-on experience with face recognition, liveness/anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics.
Experience with graph databases or graph computing (e.g., Neo4j, GraphX) and real-time graph features.
Knowledge of data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake).
Familiarity with MLOps best practices: monitoring, retraining, and continuous improvement of production models.
Experience with LLMs and AI agents.
Experience working in fast-paced technology companies or security-critical environments.
Research publications, patents, or open-source contributions in relevant AI fields.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Germany; Spain; United Kingdom; Mexico; Austria; Belgium
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and eCommerce.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This allows you to collaborate closely with international teams, contribute directly to business growth, and build a long-term global sales career.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a Senior Sales Development Representative (SDR) who is a fluent German speaker with 5+ years of outbound sales experience. This is a high-impact remote SDR role focused on prospecting, qualifying leads, and generating new business opportunities within the German-speaking market.
You will engage with key decision-makers, build strong pipelines, and play a critical role in driving revenue growth across the DACH region.
Key Responsibilities
Conduct high-volume outbound prospecting (cold calls, emails, LinkedIn outreach) in
German and English
Identify and qualify potential clients within the DACH region
Book qualified meetings and product demos for Account Executives
Develop tailored outreach strategies aligned with regional market nuances
Build and maintain a strong pipeline of opportunities
Accurately track activities and manage leads using CRM systems (e.g., HubSpot, Salesforce)
Collaborate with marketing and sales teams to refine messaging and targeting
Consistently exceed KPIs (meetings booked, pipeline generated, conversion rates)
Requirements
5+ years of experience in Sales Development, Lead Generation, or Outbound Sales
Fluency in German (C1/C2 level) and strong English communication skills
Proven experience targeting or selling into DACH markets
Strong track record of meeting or exceeding outbound sales targets
Experience with CRM platforms (HubSpot, Salesforce) and sales engagement tools
Excellent communication, objection-handling, and negotiation skills
Highly self-motivated and results-driven
Experience in SaaS, Tech, or B2B services is highly preferred
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: USA
Workplace: remote
Jito builds the Market Layer of Solana, the infrastructure that powers real markets on-chain. We started by building foundational network infrastructure: execution systems, capital markets, and incentive mechanisms that process billions in daily transaction value. Our products (Jito Block Engine, BAM, and JitoSOL) are market leaders and core to how Solana's economy operates.
Now we're moving up the stack. You’ll help build JTX, the trading app designed to capture the next generation of on-chain volume — not simply by adding more features or competing on fees, but by creating the platform serious traders genuinely want to use every day.
This is a product challenge that goes far beyond shipping functionality. It requires deep attention to speed, trust, feel, workflow, and user obsession at every level of the experience. The hardest part isn’t measuring what traders want — it’s building a product so intuitive and powerful that they choose it instinctively.
We're a small, profitable company with product-market fit. That means:
High ownership: Every team member drives significant technical decisions and shapes our product roadmap.
Fast execution: We ship rapidly and iterate based on real-world feedback. Progress, not motion.
Technical excellence: We tackle complex problems with elegant, scalable solutions.
Sustainable growth: Strong financials and proven market fit enable us to focus on long-term impact.
We offer competitive compensation, significant equity, and the opportunity to work on problems that matter.
About the Position
We're building JTX, a next-generation trading app that brings the speed, power, and sophistication of Solana’s market infrastructure directly to traders. This is a true 0-to-1 product effort focused on creating an experience that serious on-chain traders actually want to use — fast, intuitive, high-performance, and deeply connected to the mechanics of the market itself.
You’ll work alongside the team behind some of the leading infrastructure powering billions in daily transaction value on Solana, translating complex systems and market behavior into a seamless trading experience for users. Whether it’s shaping workflows, refining interfaces, improving execution visibility, or helping define the product from the ground up, this role will have a direct hand in building what trading on Solana looks like next.
If you've spent time thinking about how markets actually work on Solana and want to build the product layer on top of that, this is the role.
What You'll Do
Design and build core systems for our new product from scratch
Build low-latency, high-reliability services that interact directly with Solana's transaction and block building pipeline
Own critical infrastructure: order routing, execution, real-time market data, and position management
Implement security at every layer, from transaction signing to user data protection
Work closely with the product and infrastructure teams to ship fast and iterate based on real user feedback
Make significant architectural decisions as an early member of the team
What We're Looking For
5+ years of software engineering experience, with meaningful time spent on distributed systems
Strong systems programming skills. Rust preferred, but deep experience in C/C++, Go, or similar is fine
Track record building reliable, low-latency systems in production
Security-first mindset. You think about attack surfaces, key management, and failure modes before writing code
Familiarity with Solana's runtime, transaction lifecycle, and market microstructure (MEV, block building, execution quality) is a strong plus
Comfortable operating with high autonomy and incomplete information. This is a 0-to-1 product, not a mature codebase
Relevant Background
If you have experience in any of the following, you may be a good fit:
Trading systems or exchange infrastructure
DeFi protocol engineering
Fintech backend systems (payments, custody, execution)
High-frequency or low-latency systems
Security engineering
Location: British Columbia
Workplace: remote
ABOUT YOU
We are looking for a Technical Service Operations Lead (TSO Lead) who is operationally driven, collaborative, analytical, and a strong communicator to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to help coordinate incident response alongside cross-functional teams, identify trends and patterns in production issues, improve how we communicate with partners during incidents, and drive continuous improvement through post-incident reviews.
Strong incident management experience, ITIL knowledge, and observability/monitoring expertise are essential, along with experience in technical operations, SRE, or NOC environments supporting high-availability platforms (payments, e-commerce, SaaS, or gaming). The ability to communicate clearly and effectively in English — both written and verbal — across technical and executive audiences will be key to your success in this role.
If you're passionate about driving operational excellence and platform reliability at scale and love ensuring the reliability and uptime of commerce and payment solutions that game developers and players depend on, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Serve as Incident Commander for major incidents — coordinating cross-functional response teams, driving investigation, making escalation decisions, and ensuring incidents are resolved within SLA targets.
Own all incident communications: draft and send clear, timely updates to senior leadership, Customer Success, and partner/customer contacts throughout the incident lifecycle, and manage customer-facing status page updates (status.xsolla.com).
Facilitate blameless Post-Incident Reviews (PIRs) for major incidents — leading root cause identification, assigning corrective actions with clear owners and deadlines, and tracking them to closure.
During non-incident periods, proactively analyze incident trends, recurring issues, and production bugs — identify patterns, create Problem tickets, and report findings and recommendations to product and engineering teams on a regular cadence.
Enforce the incident management framework across the organization, including the severity model, priority matrix, SLA targets, escalation procedures, and deployment readiness gates.
Oversee and mentor the Operations Engineer on your shift — coaching on triage, investigation, runbook execution, and documentation quality while conducting regular knowledge transfer sessions to build depth across the service portfolio.
Produce shift handoff reports and deliver regular operational reporting: incident trends, KPI performance (MTTD, MTTA, MTTR), SLA adherence, proactive detection rate, and repeat incident analysis.
Audit service catalogue completeness on a regular cadence and govern JIRA Service Management workflows for incident, PIR, and problem management.
Cover for the Operations Engineer role during absences, breaks, or surge incidents. Participate in weekend on-call rotation for major incidents.
Qualifications & Skills:
6+ years of experience in incident management, SRE, NOC leadership, or technical operations in a production environment supporting high-availability, high-transaction systems.
Experience in the gaming industry is required. Payments or fintech industry experience is a plus.
Proven incident management experience — coordinating multi-team response, making real-time escalation decisions, and communicating with executive stakeholders under pressure.
Excellent written and verbal communication skills in English — ability to draft clear, concise executive updates at 3 AM under pressure, facilitate blameless PIRs, present operational metrics to senior leadership, and communicate incident status to customers and partners with clarity and professionalism.
Strong ITIL foundation — understanding of incident, problem, and change management lifecycles with practical experience implementing or operating ITIL-aligned workflows.
Technical depth across the observability stack — ability to read and interpret logs, traces, and metrics in Datadog (or equivalent: Grafana, Splunk, New Relic). Understanding of APM, SLOs, error budgets, burn-rate alerting, and synthetic monitoring.
Hands-on experience with incident tooling: Datadog, PagerDuty or OpsGenie, JIRA or JIRA Service Management, Slack, and Confluence.
Analytical mindset — ability to identify trends, patterns, and recurring issues from incident data and translate them into actionable recommendations for product and engineering teams.
Experience with SLA/SLO-driven operations where MTTD, MTTA, and MTTR are measured, reported, and improved.
Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive alerting, automated remediation, or self-healing automation.
Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) for critical severities is required.
Nice to Have:
Experience with customer/partner-facing incident communications and status page management.
JIRA Service Management administration experience: workflows, SLA timers, automation rules, queues, and permissions.
Familiarity with Datadog Service Catalog, scorecards, and SLOs — especially burn-rate alerts and multi-window SLOs.
Experience building an operations function from scratch — defining processes, writing runbooks, establishing governance cadences.
Background in Kubernetes, cloud infrastructure (GCP preferred), microservices architecture, or distributed systems.
ITIL certification (Foundation or higher) is a plus but not required.
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Technical Service Operations Lead (TSO Lead), we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with the Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
The listed range is specific to British Columbia and varies based on factors such as location and experience.
Location: Washington, DC
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
As a Federal Partners Account Executive at Anthropic, you'll drive revenue by selling our safe, frontier AI solutions directly to Systems Integrators (SI) and Independent Software Vendors (ISV) in the public sector space. You'll focus on selling directly to partners to ensure Anthropic's AI capabilities are delivered within their own solutions and service offerings. Working closely with GTM, product, and marketing teams, you'll help these partners understand and implement our technology while driving significant revenue growth.
Responsibilities
Win new business and drive revenue for Anthropic by directly
selling to
Systems Integrators and ISVs in the public sector space, owning the full sales cycle from prospecting through close
Identify net-new revenue by selling to SIs with prime contracts, helping them integrate AI into their technology stack and consulting practices to differentiate their offerings, accelerate delivery, and win more competitive bids
Navigate complex technical sales conversations with partners' engineering and product teams
Work with partners' technical teams to ensure successful implementation, adoption and deployment of Anthropic's AI capabilities into their solutions
Coordinate with cloud providers (AWS, GCP) to align technical and commercial aspects of deals
Build deep relationships with key decision makers within partner organizations
Provide market intelligence and partner feedback to product teams to influence our roadmap and feature development
Create and maintain sales playbooks specific to SI and ISV sales motions
Track and forecast sales pipeline specific to the partner segment
You may be a good fit if you have
7+ years of enterprise sales experience selling directly to Systems Integrators and ISVs
Security clearances preferred
Strong track record of closing complex technical sales to partner organizations
Deep understanding of SI and ISV business models, buying processes, and technology evaluation criteria
Experience navigating technical requirements and security standards specific to public sector implementations
Proven ability to exceed revenue targets in partner-focused sales roles
Strong technical acumen and ability to engage with partners' engineering teams
Experience coordinating with cloud providers in complex deal scenarios
Excellent communication skills and ability to present to both technical and business audiences
Strategic thinking combined with hands-on sales execution capabilities
Understanding of public sector procurement processes and how partners operate within them
A passion for safe and ethical AI development, with the ability to articulate its technical value to partner organizations
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
$380,000
—
$450,000 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: Novi Sad, South Bačka, Serbia, EMEA
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 looking for a Staff Program Manager for our Central Engineering Operations team to help us reach our goals and help our Engineering team be the best that it can be!
The mission for the Staff Program Manager, Central Engineering Operations, is to drive operational excellence and improve execution effectiveness across key Engineering and R&D areas. Our Engineering organization is grouped into a number of functional global groups that are utilizing various processes, systems, tools, and KPIs in order to jointly deliver best-in-class data pipelines and drive innovation.
The role focuses on increasing engineering and R&D efficiency and effectiveness in delivering our strategic objectives by leading end-to-end major process and efficiency improvement projects and programs.
As the majority of the processes belong to the software development industry, the role assumes you have broad experience in software development, leading multiple programs, and shipping software from start to finish. You have worked closely with cross-functional teams with design, research, product, and engineering. Preferably, you work at a tech company and are heavily involved in engineering operations, understanding how engineering and R&D processes work under the hood and how to take them to the next level, leveraging data-driven approaches.
We want you to bring your passion for problem-solving, experience in the tech world, and the drive to help us get to the next level, and have some fun along the way.
This is a full-time position based out of our Novi Sad office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
What You’ll Do
Ensure operations and strategy execution work seamlessly and effectively, and streamline engineering and R&D processes to be simple, value-oriented, and scalable.
Lead and manage engineering and R&D process enhancements to set up or improve engineering and cross-departmental processes, and be responsible for transitioning them to operational state (all in coordination with key stakeholders), resulting in documented, repeatable, and measurable processes. This includes end-to-end work from problem definition and data analysis through solution proposal, alignment with R&D leadership, and execution and adoption of the changes.
Partner with engineering group leaders to improve planning, execution, and operational health within their organizations, with a particular focus on increasing the efficiency, stability, and effectiveness in the delivery of their strategic objectives.
Support engineering leadership in quarterly planning, tracking OKRs, and driving execution against strategic priorities in consistent alignment with engineering-wide and R&D policies and practices.
Provide technical leadership and guidance to the team of operations managers to manage engineering initiatives, solve problems, and optimize and automate routine operations, increasing the team's and engineering's value-added time.
Work closely with senior engineers and leadership teams to ensure strict adherence to operational processes. Conduct audits and check-ins to identify areas for improvement and ensure continuous process refinement.
Collaborate with operations managers and cross-functional partners to improve execution, automate workflows, and increase operational efficiency, and also directly contribute to the improvement and support of our internal knowledge management process and information structure in collaboration with other Ops and PMO teams.
Manage R&D-wide initiatives. Coordinate and oversee the preparation, planning, and delivery of engineering updates, events, and R&D-wide initiatives, ensuring alignment with corporate goals.
Drive operational excellence across R&D: spearhead and champion global operational strategies, focusing on optimizing engineering processes to be more efficient, scalable, and aligned with the company’s long-term vision.
Skills We’re Looking For
6+ years of experience in technical/operations management in the technology/software development industry with technical expertise that enables you to define automation requirements, automate operational workflows, and perform data analysis using query languages and AI.
Ability to work directly with senior leadership on programs, including leading R&D-wide (engineering, product, design, security) initiatives from start to finish.
Proven experience in optimizing operations on an Engineering and R&D scale, creating actionable plans, and managing execution to enhance operational effectiveness, efficiency, and scalability across multiple engineering teams and departments, and adhering to various compliance requirements.
You can facilitate discussions with engineering subject matter experts on topics such as System Design, Data Architecture, Infrastructure Management (including cost management), Quality, etc., in the context of engineering operations.
Ability to leverage AI to increase your own productivity and leverage it in the solutions you’re building.
Excellent verbal and written communication and presentation skills with the ability to interact and collaborate with technical and non-technical groups at all levels.
A data-driven and action-oriented mindset with excellent planning, analytical, problem-solving, project/program management, organizational, and leadership skills.
Bonus Skills
Experience driving projects end-to-end, and shipping complex, large-scale software projects with global teams utilizing different SDLCs.
Familiarity with project management tools like Jira and analytical tools like Looker and Sigma.
Experience working at cloud platforms and SaaS companies in the past is a plus.
Familiarity with the following technologies is a plus: Cloud service providers (AWS, GCP, Azure), ETL or ELT, modern data stack.
#LI-DC1
#LI-HYBRID
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: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
Key Responsibilities
Design and optimize high throughput order execution systems with sub-millisecond latency targets
Build real time market data pipelines aggregating order books and price feeds from multiple exchanges
Implement position tracking with exchange reconciliation, risk limits, and multi account support
Develop exchange connectivity using FIX 5.0+, WebSocket, and HTTP/2 protocols
Profile and eliminate latency hotspots using garbage free coding and lock free concurrency
Implement pre-trade risk controls, circuit breakers, and rate limiters
Qualifications
Solid STEM (Science/Technology/Engineering/Mathematics) education background.
5-8 years software development experience, preferably in trading/oms/latency sensitive systems
Strong Java 17+ proficiency with understanding of JVM internals and GC behavior
Hands-on experience with FIX 5.0+, WebSocket, and HTTP/2 protocols
Solid multi-threaded programming and concurrent systems knowledge
Understanding of order lifecycle and market microstructure basics
Strong problem solving skills and attention to detail
Excellent communication and collaboration skills
Ability to work independently and as part of a team in a fast paced environment
Preferred Skills
Cryptocurrency/Digital Assets: Crypto exchange APIs, DeFi, blockchain trading
Execution Algorithms: TWAP, VWAP, iceberg, sniper, or other smart order routing strategies
IPC Technologies: Aeron, Chronicle Queue, shared memory messaging
Proficiency or strong interest in Rust for performance critical systems development
Low latency libraries: Agrona Collections, Protocol Buffers, SBE for high performance serialization
Spring Framework, Netty, Vert.x
Timeseries databases (e.g InfluxDB)
Redis, etcd for caching and coordination
Technical Environment
Languages
: Java 17+, Rust, Python
Protocols
: FIX 5.0+, WebSocket, HTTP/2
Stack
: Spring, Netty, Aeron, Chronicle Queue, Redis, MySQL, InfluxDB
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowance
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Serbia
Workplace: remote
ABOUT YOU
We’re looking for a Senior Backend Software Engineer who thrives on solving complex technical challenges and building distributed systems that scale. You’re someone who’s comfortable working with Go, embraces microservices architecture, and understands how to build robust, event-driven systems used by millions of users.
You have experience working in containerized environments, designing resilient services, and contributing to system design and infrastructure decisions. You take ownership of your code from design to deployment, and enjoy collaborating with cross-functional teams to deliver high-impact, production-ready solutions.
If you’re passionate about building backend systems that are scalable, observable, and fault-tolerant, and you’re excited by the idea of powering innovative products at the intersection of games, commerce, and data, we’d love to hear from you.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Design, build, and maintain backend services that power core products and platforms.
Develop event-driven systems using Go, Kafka, and Temporal (or similar orchestration tools).
Build scalable microservices in containerized environments using Docker and Kubernetes.
Drive architecture decisions that improve performance, resiliency, and maintainability.
Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions.
Own your code in production, monitor, debug, and continuously improve service performance and reliability.
Write automated tests and follow CI/CD best practices to ensure high-quality deployments.
Participate in code reviews, technical discussions, and knowledge sharing across teams.
Qualifications & Skills
5+ years of backend development experience in Go or a similar language.
2+ years of hands-on experience with Kafka or equivalent streaming platforms.
Strong understanding of microservices architecture, distributed systems, and event-based communication.
Experience working with workflow orchestration tools such as Temporal, Cadence, or similar.
Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker).
Solid understanding of observability, monitoring, and performance optimization.
Ability to troubleshoot production issues, analyze system behavior, and drive resolution.
Nice to Have
Experience with cloud platforms (e.g., AWS, GCP, or Azure).
Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases.
Background in gaming, payments, or commerce systems.
Prior experience working on internal platforms or developer-facing tools
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
You will join our Data & Analytics team, which owns two core data domains end to end:
• Public market data — trades, quotes, funding, and full order-book data continuously captured from global crypto exchanges at petabyte scale.
• Proprietary trading data — orders, fills, positions, balances, and settlement activity streamed from internal desks and systems.
We are one team rather than separate engineering and analytics functions. The same people build pipelines, model data, validate its correctness, and answer the business questions it supports. You will see data problems through end to end: from the exchange connection or internal source through to the analysis produced from it.
This is an exciting time to join. We are rebuilding the platform on ClickHouse, Apache Iceberg, and Kafka while continuing to support live trading. The work combines substantial platform design with hands-on ownership of business-critical data.
What You’ll Be Doing
• Build and operate pipelines that bring market and trading data into our platform, including ingestion, parsing, normalization, validation, and storage.
• Build and extend Python- and SQL-based datasets and data models used by trading desks, quants, research, and analytics teams.
• Own data correctness through source reconciliation, data-quality and completeness checks, gap and duplicate detection, backfills, and replays.
• Investigate discrepancies end to end. Trace unexpected numbers through the pipeline to the source and fix root causes rather than symptoms.
• Onboard new exchanges, venues, products, and internal data sources, addressing real-world external-feed behaviour including authentication, rate limits, disconnects, missing history, and schema changes.
• Support data users through query support, data access, APIs, and client libraries.
• Operate what you build, including monitoring, alerting, and incident response for owned pipelines and datasets.
• Contribute to the migration toward ClickHouse, Iceberg, Kafka, and Kubernetes by running new and legacy paths in parallel, reconciling results, and cutting over safely.
• Use AI coding assistants and LLM tooling to improve development, debugging, and data investigation, while applying sound judgement and independently validating outputs.
• Depending on team needs and your strengths, develop deeper expertise in either real-time platform and pipeline engineering or proprietary trading-data datasets and analysis. Both are core to the team.
What We Look For In You
• Bachelor’s degree or above in Computer Science, Engineering, or a related quantitative field.
• 3–5 years of hands-on experience in data engineering, software engineering, or analytics engineering.
• Strong production-quality programming skills in Java, Python, or both.
• Sound data-modelling judgement. You can design schemas that scale with evolving data and use cases, including keys, granularity, partitioning, and schema evolution.
• Ability to reason about query behaviour and performance over large datasets.
• Demonstrated production ownership. You have designed, delivered, and operated a pipeline, service, or dataset that other teams depend on, including its reliability, monitoring, and failure modes.
• Rigour in data correctness. You validate outputs before they reach users, cross-check against independent sources where possible, and treat silent data errors as serious defects.
• Structured problem-solving under uncertainty. You can decompose ambiguous data discrepancies, form and test hypotheses, and reach defensible conclusions while clearly stating assumptions and outstanding verification needs.
• Strong initiative and persistence. You identify gaps, act without waiting for direction, work through difficult problems, and get up to speed quickly on unfamiliar systems and domains.
• Strong communication skills in both Chinese and English.
Nice to Have
• Experience in crypto, market data, trading systems, or trading operations.
• Strong Java systems-engineering capability, including JVM and concurrency fundamentals, profiling, performance tuning, and reliable high-throughput services.
• Strong Python data-engineering capability, including pandas, Polars, PyArrow, or Spark; experience with vectorisation, memory behaviour, and processing datasets larger than memory.
• Experience delivering tested, packaged Python tooling that other teams depend on.
• Depth in trading-data analysis, such as reconstructing positions from fills, balances from transfers, or PnL across settlement or expiry boundaries.
• Experience reconciling derived trading data against authoritative sources and resolving discrepancies between systems.
• Experience with real-time streaming pipelines, ideally Kafka, including ordering, gap detection, checkpoints, restart recovery, and replay.
• Hands-on experience with time-series or analytical databases, including partitioning, retention, and query-performance tuning at scale.
• Exposure to Apache Iceberg, Parquet, Spark, gRPC, Kubernetes, or cloud data infrastructure.
• Experience building connectors to external REST or WebSocket APIs.
Working Model
• Hong Kong, onsite (in-office).
Perks & Benefits
• Competitive total compensation package.
• Learning and development programs and education subsidy for employees’ growth and development.
• Various team-building programs and company events.
• Wellness and meal allowances.
• Comprehensive healthcare schemes for employees and dependents.
• More that we would love to tell you about during the process.
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Singapore
New York City, NY | Seattle, WA; San Francisco, CA
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