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)
Countries we can hire from:
GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we’d encourage you to check back and apply again for a role you’re eligible for.
Visa sponsorship:
We are not currently able to sponsor visas for this role.
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.
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 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 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than
430,000 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
interview
with GiveWell’s co-founder and CEO Elie Hassenfeld.
Additional information
We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell’s
Privacy Statement for Applicants
. By completing an application exercise, you acknowledge and assent to
GiveWell’s Work Trial Policy
.
Location: Brazil
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
*This is a remote role and can be performed anywhere in Brazil/Colombia*
The Role
We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for a frontier AI lab client. You will work directly with the client's researchers and engineers, turning inbound requests and post-training goals into concrete technical proposals and data/environment specifications, and then owning the technical execution: building the quality and verification systems that ensure what we deliver meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift.
Most of this work is bespoke and custom, built for one client's evolving needs.You'll typically stay attached to a single frontier lab client so you can build real context and a working relationship with their team, with flexibility to support other accounts when needed. Because bespoke work is judged on both turnaround time and quality, both matter equally here.
This role is designed for candidates with experience
building
and
improving
deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation. You'll operate in one or more of the following capability areas:
Coding and software engineering agents (repositories, unit tests, debugging, tool use, code reviews, long-horizon workflows)
RL environments and verifier-based training (tasks, rewards/verifiers, trajectories, evaluation harnesses)
Multimodal data and reasoning (text + images + documents + tables/charts; optional audio/video)
STEM reasoning (math, physics, chemistry, bio, engineering – solution verification and error analysis)
Modern embodied AI / VLM-driven agents (vision-language(-action) models, embodied task suites, tool/sensor/action abstractions, long-horizon interaction data)
What You'll Do
1) Own data and environment quality from an AI researcher perspective
Respond to inbound requests from the client and translate ambiguous, evolving research goals into a technical proposal and clear data requirements: target skills, failure modes, difficulty calibration, coverage, and success metrics.
Provide the technical feasibility assessment, assumptions, acceptance criteria, and evaluation requirements needed to scope the contract or statement of work.
Define what “good” looks like by creating detailed rubrics, counterexamples, and boundary cases (what to include vs. exclude).
Perform deep, detail-oriented audits of produced data: spot subtle errors, reward hacking opportunities, leakage, ambiguity, inconsistent assumptions, and distribution shifts.
Drive iterative improvements using evidence: group failures (for example, by semantic similarity) to find the underlying gap, then turn that into concrete instructions for the production team — better few-shot examples, explicit counterexamples, clearer guidance on what's causing rejections.
2) Design and build datasets and RL environments for your capability area(s)
Contribute to or lead the design of:
Task suites (single-step and long-horizon workflows)
Ground-truth signals (verifiers, unit tests, structured checks, reward functions, automatic validators)
Environment interfaces (APIs, tool schemas, state abstractions, database schemas, simulator-like dynamics)
Depending on your mapped capability area(s), you may focus on:
Coding / SWE agents: data reflecting real development work (codebase navigation, bug localization, patching, tests, code reviews, CI-like constraints, refactors, security fixes).
Multimodality: tasks that test true multimodal reasoning (chart reading, document QA, UI understanding, diagram-based STEM reasoning, OCR-aware tasks).
STEM: tasks with verifiable solutions (symbolic checks, reference solvers, numerical validation, step consistency, unit sanity).
Modern embodied AI / VLM-driven agents: interaction data and environments for vision-language(-action) models.
3) Build robust validation, denoising, and synthetic data systems
Build project-specific verification systems that combine deterministic checks, model-based evaluators calibrated against gold sets, and targeted human review.
Implement automated validation and filtering to achieve frontier-grade signal-to-noise: deduplication, decontamination, leakage checks, consistency checks, difficulty and diversity controls.
Develop synthetic data generation and augmentation pipelines where appropriate: programmatic task generators, controlled perturbations, scenario templating, simulator-/tool-driven rollouts.
Create documentation and data cards: dataset intent, known limitations, recommended use, and evaluation linkage.
4) Use evaluations and training runs to prove impact
Design and run evals that reflect the client's intended usage.
Produce analysis that connects data to outcomes: pre/post comparisons, error breakdowns, ablations that identify which data attributes drive lift.
When needed, run in-house fine-tuning or RL-style experiments (or partner with research) to demonstrate that the data/environment improves model behavior in measurable ways.
5) Collaborate effectively with large production teams without being ops-heavy
Give technical direction to the distributed expert network producing the data, by providing clear specs, examples, edge cases, and fast feedback loops based on audits and quantitative signals.
You own technical translation, acceptance criteria, evaluator and verifier design, quality diagnosis, and the technical release recommendation. The Strategic Project Lead owns production execution, staffing, throughput, project cost, and recovery.
You are expected to be highly engaged in reviewing and improving outputs from large annotation/creation efforts, but not primarily responsible for hiring, staffing, or people operations — that sits with the SPL.
Communicate directly with the client on technical findings, quality risks, and recovery options. Align changes to scope, schedule, or external commitments with the account and delivery owners.
Who We're Looking For
4–5 years of experience building or improving deep learning systems where data quality mattered materially (training, post-training, evals, or agentic systems).
Strong intuition for the “data ingredients” that drive model improvements: what to collect, what to filter, what to synthesize, and how to measure.
Ability to communicate clearly with researchers and engineers: turning research objectives into concrete specs, and turning messy outputs into actionable insights.
Comfortable being the direct technical point of contact for a client, including explaining setbacks or trade-offs when things don't go as planned.
Demonstrated ability to be extremely detail-oriented in diagnosing subtle data quality issues and failure modes.
Solid programming ability with a bias for shipping: Python proficiency required; comfort with SQL/structured data workflows strongly preferred; for coding-focused work, proficiency in a major language (e.g., C++, Java, Go, Rust, JS/TS) is a plus.
Comfort designing quality systems: rubrics, validation scripts, gold sets, sampling strategies, statistical checks, slice-based evaluation, human-in-the-loop review loops grounded in measurable criteria.
Direct experience with a frontier AI lab is not required, and is uncommon in the LATAM market — what matters most is hands-on engineering depth and the ability to operate with ambiguity.
Strong pluses
RL or post-training experience (any of: RLHF/RLAIF, verifier training, reward modeling, RL fine-tuning, environment design).
Experience with agentic evaluation (tool use, multi-step workflows, long-horizon tasks, trajectory analysis).
Multimodal expertise (document understanding, charts, diagrams, OCR, UI/vision grounding; audio/video optional).
STEM depth (math/physics/engineering) with an eye for verifiability and rigorous correctness.
Modern embodied AI / VLM-driven agent experience (vision-language(-action) models, interaction datasets, embodied evals, long-horizon grounding, tool/sensor/action interfaces).
Systems thinking: ability to “simulate” an application's API/data schema and design tasks that realistically reflect real-world constraints and workflows.
Why Turing
Work directly with a frontier AI lab, at the cutting edge of post-training and RL environment design, embedded in a real research relationship rather than a rotating set of anonymous tasks.
Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence.
High autonomy and fast iteration, with a Strategic Project Lead handling scaling and resourcing so you can stay focused on the technical approach and quality bar.
Talent-dense team, where you'll find rapid iteration and an exceptional learning curve.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
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: 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: Dhahran, Saudi Arabia
Eram Talent is seeking a proactive and detail-oriented MIS / Data Analysis Coordinator to join our team. As a renowned Talent Acquisition Consultancy, we focus on delivering excellent staffing solutions across multiple industries. The MIS / Data Analysis Coordinator will be responsible for managing Management Information Systems (MIS), conducting data analysis, and generating insightful reports to support strategic business decisions.
This role involves collecting, processing, and validating data, developing automated reports, and working closely with various departments to provide data-driven insights. The ideal candidate will have strong analytical skills, expertise in data management tools, and the ability to communicate complex information effectively.
Key Responsibilities
Generate reports to track progress and inform decision-making
Develop and implement plans to support organizational objectives
Monitor and track budgets to ensure financial accountability and transparency
Coordinate and facilitate YP training sessions, plan and execute events, and provide administrative support to the VP's office
Prepare financial reports and provide insights to support data-driven decision-making
Perform data analysis tasks to optimize processes and inform business decisions
Ensure compliance with data governance and security policies.
Provide training and support to teams on MIS and data analysis tools.
Assist in improving data collection procedures and systems.
Requirements
Bachelor’s degree OR Diploma degree in Data Analysis, Data Science, or Business Analytics or MIS.
2+ years of experience in Data Analysis, Data Science, or Business Analytics
Proficiency in MS Excel, SQL, and data visualization tools like Power BI or Tableau.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work independently and manage multiple priorities.
Familiarity with data governance and data quality standards.
Experience with database management and reporting tools.
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: 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
.
Location: Hong Kong, Hong Kong SAR; 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, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE.
We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features.
About the Team
Trading Services Engineering team powers OKX's core trading infrastructure — the systems that keep millions of users trading reliably, 24/7, at global scale. You'll build the backbone that other engineering teams depend on.
What You'll Be Doing
Design and build high-availability, low-latency distributed services that power core trading flows
Own service reliability end-to-end: architecture, performance tuning, monitoring, and incident response
Partner with Product and cross-functional engineering teams to translate trading requirements into scalable system design
Drive technical best practices through code reviews, design reviews, and mentorship of peers
Contribute to Kafka-based messaging architecture and event-driven system design at scale
What You’ll Be Doing
Collaborate with cross-functional teams including Product, Design, and Marketing to drive innovation and execution
Design and implement high availability, high-performance distributed services
Contribute to technology best practices and perform code reviews for peers
What We Look For In You
Bachelor's degree in Science, Technology, Engineering, or Mathematics
Demonstrated experience adopting AI tools in the engineering workflow, able to evaluate and integrate AI capabilities into day-to-day development
Hands-on experience in Microservice/API development using Java/SpringBoot/SpringCloud
Strong knowledge of multi-threading and distributed architecture, and understanding of messaging frameworks such as Kafka
Proficient in relational database design and development
Comfortable working in a cloud-based Linux environment
Proven experience in automated testing and continuous integration
Knowledge of integrating with 3rd party software via APIs/SDKs
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
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
As an Infra Product Manager, you will be responsible for the design, development, and lifecycle management of Web3 cross-business infrastructure products, with a focus on core components such as central data services, market data systems, labeling systems, asset category management, and algorithm platforms for Wallet, DEX and other businesses. You will collaborate closely with engineering, data, and business teams to ensure products meet the performance, security, and scalability requirements of Web3 businesses. This role demands strong product thinking, technical depth, and insight into the Web3 industry to help the team build an efficient and reliable Web3 Infra system.
What You’ll Be Doing
Central Data Services Management
: Oversee the design of central data services for Web3 cross-business domains, including data collection, integration, storage, querying, and distribution. Ensure real-time data accuracy, security, and support for complex business needs and multi-platform environments.
Market Data System Development and Optimization
: Contribute to the product design and iteration of a universal market data system, delivering real-time market data (e.g., price, trading volume, liquidity metrics). Support API and front-end integration while optimizing system performance for high-concurrency scenarios.
AI Trading Products
: Able to design DEX AI Trading Products based on trading strategies, meme tokens, smart money signals, and leverage the latest AI technologies (AI Agent, LLM etc.)
DeFi
Native:
Have a solid understanding of Web3, including its core concepts, underlying blockchain technologies, and emerging ecosystems such as DeFi, NFTs, DAOs, and Layer 2 solutions. Stay closely informed about the latest industry trends, market dynamics, and technological developments, with the ability to quickly assess and adapt to new protocols, products, and narrative shaping space.
Onchain Data and Smart Contract Analysis
: Conduct research on smart contracts, understand how Dapps and protocol works, design and improve product infra performance based on the protocol underlying mechanics, make sense of the onchain data whenever necessary.
Algorithm Development and
Improvement
: Design and iterate an algorithm to support on-chain data analytics, trading signal discovery, and risk control scenarios. Manage the integration, testing, and deployment of algorithm models to ensure efficiency and reliability of outputs. Collaborate with data analysts and data scientists to integrate machine learning or on-chain analytics models, elevating the intelligence of Infra products.
What We Look For In You
Education
: Bachelor’s degree or above in Computer Science, Software Engineering, or a related field.
Work Experience
: At least 5 years of experience as a Product Manager. Preference for candidates with Web3 industry experience or expertise in infrastructure products (e.g., data services, labeling platforms, algorithm platforms).
Technical Skills
:
Experience with blockchain fundamentals, including smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies.
Familiar with onchain and web3 ecosystems, a genuine passion for the crypto industry and proactive engagement with the community are highly valued.
Proficiency in product management and system-design thinking is strongly preferred.
Proficiency in AI technology, Agent, LLM, and AI application experience is a huge plus.
Basic knowledge of algorithm platforms; familiarity with machine learning models or data analytics workflows is preferred.
Soft Skills
:
Excellent communication and collaboration skills, with the ability to effectively bridge business and technical teams.
Strong user-oriented mindset, capable of designing products based on user pain points.
Robust problem-solving skills and the ability to make quick decisions in uncertain environments.
Fluent in English and Chinese.
Nice to Haves
Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies.
Experience with on-chain trading and an understanding of on-chain opportunity discovery processes.
Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space.
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!
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
#LI-MX1
#LI-ONSITE
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: 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 Opportunity
As an Infra Product Manager, you will be responsible for the design, development, and lifecycle management of Web3 cross-business infrastructure products, with a focus on core components such as central data services, market data systems, labeling systems, asset category management, and algorithm platforms for Wallet, DEX and other businesses. You will collaborate closely with engineering, data, and business teams to ensure products meet the performance, security, and scalability requirements of Web3 businesses. This role demands strong product thinking, technical depth, and insight into the Web3 industry to help the team build an efficient and reliable Web3 Infra system.
What You’ll Be Doing
Central Data Services Management
: Oversee the design of central data services for Web3 cross-business domains, including data collection, integration, storage, querying, and distribution. Ensure real-time data accuracy, security, and support for complex business needs and multi-platform environments.
Market Data System Development and Optimization
: Contribute to the product design and iteration of a universal market data system, delivering real-time market data (e.g., price, trading volume, liquidity metrics). Support API and front-end integration while optimizing system performance for high-concurrency scenarios.
AI Trading Products
: Able to design DEX AI Trading Products based on trading strategies, meme tokens, smart money signals, and leverage the latest AI technologies (AI Agent, LLM etc.)
DeFi
Native:
Have a solid understanding of Web3, including its core concepts, underlying blockchain technologies, and emerging ecosystems such as DeFi, NFTs, DAOs, and Layer 2 solutions. Stay closely informed about the latest industry trends, market dynamics, and technological developments, with the ability to quickly assess and adapt to new protocols, products, and narrative shaping space.
Onchain Data and Smart Contract Analysis
: Conduct research on smart contracts, understand how Dapps and protocol works, design and improve product infra performance based on the protocol underlying mechanics, make sense of the onchain data whenever necessary.
Algorithm Development and
Improvement
: Design and iterate an algorithm to support on-chain data analytics, trading signal discovery, and risk control scenarios. Manage the integration, testing, and deployment of algorithm models to ensure efficiency and reliability of outputs. Collaborate with data analysts and data scientists to integrate machine learning or on-chain analytics models, elevating the intelligence of Infra products.
What We Look For In You
Education
: Bachelor’s degree or above in Computer Science, Software Engineering, or a related field.
Work Experience
: At least 5 years of experience as a Product Manager. Preference for candidates with Web3 industry experience or expertise in infrastructure products (e.g., data services, labeling platforms, algorithm platforms).
Technical Skills
:
Experience with blockchain fundamentals, including smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies.
Familiar with onchain and web3 ecosystems, a genuine passion for the crypto industry and proactive engagement with the community are highly valued.
Proficiency in product management and system-design thinking is strongly preferred.
Proficiency in AI technology, Agent, LLM, and AI application experience is a huge plus.
Basic knowledge of algorithm platforms; familiarity with machine learning models or data analytics workflows is preferred.
Soft Skills
:
Excellent communication and collaboration skills, with the ability to effectively bridge business and technical teams.
Strong user-oriented mindset, capable of designing products based on user pain points.
Robust problem-solving skills and the ability to make quick decisions in uncertain environments.
Fluent in English and Chinese.
Nice to Haves
Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies.
Experience with on-chain trading and an understanding of on-chain opportunity discovery processes.
Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space.
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!
#LI-MX1
#LI-ONSITE
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: Warsaw, Poland
Workplace: hybrid
Driving Revenue Growth & Strategic Client Expansion
As a Client Partner, you will play a key role in driving commercial growth and expanding Aleph’s footprint in Poland, directly contributing to revenue generation, portfolio expansion, and long-term strategic client partnerships.
This is a revenue-driven, commercially focused role responsible for owning a book of business, identifying new growth opportunities, and positioning Aleph as a strategic partner within the digital advertising ecosystem.
About Aleph
Aleph is a global leader in digital advertising and fintech, operating across 130+ high-growth markets. We provide the bridge between 55+ of the world’s leading digital platforms and local businesses, combining global scale with deep local execution. With 90+ offices worldwide, we empower our sales teams to drive growth through exclusive partnerships and localized expertise.
✨ Why Build Your Career at Aleph
At Aleph, your work has real impact. You’ll join a fast-growing, innovative, and collaborative team that encourages initiative, creativity, and ownership.
Here’s what makes Aleph unique:
🌍 Global exposure – collaborate with colleagues and clients across multiple countries.
💡 Creative culture – bring bold ideas, test new approaches, and shape strategies.
📈 Career growth – move across teams, take on new responsibilities, and expand your expertise.
🏢 Flexible work culture – we offer flexibility to balance focus and collaboration.
🎁 Well-being & growth – enjoy a benefits package designed to support your personal development and overall quality of life
🎯 What You’ll Do:
Revenue Growth & Portfolio Expansion
Sell Microsoft Advertising solutions to both new and existing advertisers
Proactively generate new leads, build a robust sales pipeline, and maintain accurate CRM records of all sales activities
Consistently achieve sales targets while delivering a high-quality customer sales experience.
Accurately forecast weekly, monthly, and annual revenue performance.
Strategic Client Leadership
Build and maintain a strong network of contacts across key verticals through industry events, outreach, and market engagement.
Engage regularly with new and existing clients to understand campaign objectives, KPIs, and future marketing plans.
Recommend tailored solutions from the product portfolio to help clients achieve their business and marketing goals.
Lead onboarding processes for new clients, including guiding them through legal and compliance requirements.
Market & Cross-Functional Impact
Stay up to date with market trends and competitor activity to identify new business opportunities
Introduce Aleph to new prospects and expand presence across target industries
Collaborate closely with Client Solutions Managers (Account Managers) to ensure smooth campaign launches and execution
Provide timely, actionable feedback to clients to optimize performance and strengthen relationships
🛠 What You Bring to the Table
3+ years of Digital advertising experience, either in Business development, Account management or Ad Sales experience
Comprehension of the local advertising ecosystem, including a comprehensive understanding of key players and stakeholders within the industry
Strong commercial skills (responsible for direct revenue)
Direct experience in paid search advertising, performance advertising and e-commerce
You can work independently and set your own workflows to achieve sales targets
You're fluent in Polish and English.
🎯 How Success Looks
As a Client Partner at Aleph, success means driving real business results for clients while making a measurable impact on the team and the company. You’ll know you’re thriving when:
Clients trust you as a strategic partner, seeing tangible growth and measurable improvements in their campaigns and overall performance.
You consistently hit or exceed your individual revenue and performance targets while contributing to the team’s collective goals.
You identify opportunities for expansion, optimizing strategies and processes to deliver smarter, more efficient campaigns.
You actively bring in new clients and business opportunities, closing deals that fuel both client growth and Aleph’s market expansion
You actively collaborate, share knowledge, and bring innovative ideas that improve outcomes for clients and the team alike.
In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is PLN
120,960
.
In addition to base salary, this role includes a significant performance-based variable component, paid quarterly. The final offer will reflect your experience, skills, and the scope of the role.
🚀 Ready to Make an Impact?
If you’re excited to grow client relationships, drive business results, and shape the future of digital advertising, Aleph is the place to make it happen. Apply today and become part of a team that’s transforming client success locally and globally.
#ALEPH
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
What You’ll Be Doing
Own product strategy and roadmap for the
DEX
Trading
product, covering Token Market, Swap (Aggregator), Bridge, Limit Order, and emerging trading primitives.
Partner closely with the
Growth & Operations
team to ship initiatives that drive user acquisition, activation, retention, and trading volume, turning growth hypotheses into PRDs, prototypes, and launched features.
Identify and prototype
new product opportunities
in DEX, evaluating emerging protocols, narratives, and paradigms (intent-based trading, MEV protection, new L1/L2s, etc.) with
AI-augmented research and competitive scanning
to move faster and broader than manual analysis allows.
Lead end-to-end execution: drive PRDs, prototypes, and supporting documentation with
AI in the loop
for higher velocity and quality, then partner with R&D, UI/UX, QA, and Marketing through to launch.
Define, instrument, and monitor core product KPIs (Volume, MAU, retention, route quality, etc.); run your own data analysis with
AI-assisted
SQL
, exploratory queries, and insight synthesis
to continuously optimize performance.
What We Look For In You
3+ years in product management, with 2+ years on consumer-facing crypto or DeFi products. Strong DeFi experience as a power user or contributor may substitute for part of the PM tenure.
Deep understanding of the DEX stack:
AMMs, order books, aggregation & routing, cross-chain bridges, perpetuals, MEV
, and the trade-offs between them.
Strong data fluency: comfortable writing your own SQL / Dune queries instead of waiting on an analyst.
Power user of modern AI tools
(e.g. Claude, ChatGPT, Cursor, AI coding/data agents) : actively integrates them into daily PM workflows for research, writing, prototyping, and data analysis. Able to demonstrate concrete examples of how AI has accelerated your output.
Strong individual contributor ownership, able to drive projects end-to-end across cross-functional teams without people-management leverage.
Fluent written and verbal communication in English and Chinese.
Bachelor's degree or higher.
Nice to Have
Prior Product Manager at a leading DEX, Aggregator, Perp DEX, or Bridge (Uniswap, Jupiter, 1inch, GMX, dYdX, CoW, Across, etc.), etc.
Demonstrable track record as a heavy DeFi user, published research, sizeable on-chain footprint, governance participation, or recognized protocol contributions.
Familiarity with intent-based architectures, solver networks, TEE, or other emerging DeFi primitives.
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!
Disclaimer: 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.
#LI-MX1
#LI-ONSITE
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: 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 Opportunity
What You’ll Be Doing
Own product strategy and roadmap for the
DEX
Trading
product, covering Token Market, Swap (Aggregator), Bridge, Limit Order, and emerging trading primitives.
Partner closely with the
Growth & Operations
team to ship initiatives that drive user acquisition, activation, retention, and trading volume, turning growth hypotheses into PRDs, prototypes, and launched features.
Identify and prototype
new product opportunities
in DEX, evaluating emerging protocols, narratives, and paradigms (intent-based trading, MEV protection, new L1/L2s, etc.) with
AI-augmented research and competitive scanning
to move faster and broader than manual analysis allows.
Lead end-to-end execution: drive PRDs, prototypes, and supporting documentation with
AI in the loop
for higher velocity and quality, then partner with R&D, UI/UX, QA, and Marketing through to launch.
Define, instrument, and monitor core product KPIs (Volume, MAU, retention, route quality, etc.); run your own data analysis with
AI-assisted
SQL
, exploratory queries, and insight synthesis
to continuously optimize performance.
What We Look For In You
3+ years in product management, with 2+ years on consumer-facing crypto or DeFi products. Strong DeFi experience as a power user or contributor may substitute for part of the PM tenure.
Deep understanding of the DEX stack:
AMMs, order books, aggregation & routing, cross-chain bridges, perpetuals, MEV
, and the trade-offs between them.
Strong data fluency: comfortable writing your own SQL / Dune queries instead of waiting on an analyst.
Power user of modern AI tools
(e.g. Claude, ChatGPT, Cursor, AI coding/data agents) : actively integrates them into daily PM workflows for research, writing, prototyping, and data analysis. Able to demonstrate concrete examples of how AI has accelerated your output.
Strong individual contributor ownership, able to drive projects end-to-end across cross-functional teams without people-management leverage.
Fluent written and verbal communication in English and Chinese.
Bachelor's degree or higher.
Nice to Have
Prior Product Manager at a leading DEX, Aggregator, Perp DEX, or Bridge (Uniswap, Jupiter, 1inch, GMX, dYdX, CoW, Across, etc.), etc.
Demonstrable track record as a heavy DeFi user, published research, sizeable on-chain footprint, governance participation, or recognized protocol contributions.
Familiarity with intent-based architectures, solver networks, TEE, or other emerging DeFi primitives.
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!
#LI-MX1
#LI-ONSITE
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: APAC
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
We are seeking an
AI Infrastructure Engineer
to design and build the foundational systems that power next-generation AI agents. This role sits at the intersection of research and production engineering, focusing on scalable
long-term memory
,
knowledge graph infrastructure
, and robust
context management systems
.
You will transform cutting-edge research concepts (e.g., Context Graphs, GraphRAG, agent memory architectures) into auditable, maintainable, and production-grade infrastructure that enables reliable, stateful AI systems.
What You’ll Be Doing
Architect and implement long-term memory infrastructure for AI agents
, including auditable, versioned, and rollback-capable middleware that supports persistent, stateful reasoning.
Design and own end-to-end GraphRAG and knowledge graph pipelines
, from ingestion and schema design to graph indexing, retrieval optimization, and integration with LLM-based reasoning systems.
Build scalable context management infrastructure
, elevating context from prompt-level techniques to structured, maintainable systems such as Context Graphs that enable long-horizon and cross-session reasoning.
Translate advanced agent research into production-grade systems
, prototyping emerging architectures and establishing best practices for memory, retrieval, and infrastructure reliability.
Ensure reliability, observability, and governance of agent infrastructure
, including traceable memory operations, evaluation frameworks, and safeguards against drift and degradation.
What We Look For In You
PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least
10 years of industry experience
.
Possess a deep expertise in at least one of the following areas:
long-term memory
,
knowledge graphs
, or
context management
.
Nice to Haves
Experience in top-tier AI labs or Tech industry leaders
Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage
Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed
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!
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
Brazil; For applicants from the European Union, please review
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