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 is seeking a Senior Livelihoods Researcher to help us identify and fund the most cost-effective ways to improve living standards among the global poor. You will have an outsized influence on our funding decisions and help us improve lives on a global scale.
Our livelihoods team is organized around thematic verticals, which includes cash transfers, broader social protection programs, education programs, and support for small and medium sized businesses in low-income countries. Across the portfolio, we try to maximize the social return on our investment, which we measure as the increase in relative consumption per $. We value consumption gains more highly among poorer populations, which has meant most of our grantmaking to date has focused on programs which support deprived populations within low-income countries (mostly in sub-Saharan Africa).
As a Senior Livelihoods Researcher, you’ll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell’s grantmaking decisions. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment.
We’re open to a wide variety of professional development pathways depending on your preferences and our needs.
The role
You will be joining a small grantmaking team to contribute to our ambitious research agenda on livelihoods. You’ll sift through the countless questions we could try to answer, and honing in on those that matter most. You’ll also communicate externally about your work and advise other researchers on the team.
You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell livelihoods team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. In the course of your work, you might approach questions like these:
What effect do rural trailbridges have on the consumption of nearby communities?
What are long-run effects of unconditional cash transfers and ultra poor graduation programs on recipients?
What would happen to prices and markets if we took cash transfer and ultra poor graduation programs to scale?
How should GiveWell value interventions which try to reduce the variance of consumption (as opposed to increasing the average)?
Several countries in sub-Saharan Africa have seen large scale-ups in donor-funded livelihoods programs over the last 30 years but very little movement in poverty headcount rates and median consumption per capita. Why?
Team structure
Our research department has over 60 people, and is currently organized into eight teams:
Five of the teams (Water, Nutrition, Malaria, Vaccines, and Livelihoods) focus on specific areas of grantmaking.
The New Areas team focuses on interventions in domains that are new to GiveWell.
The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work.
The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing.
Team values
We think our research team has unique qualities:
We care deeply and centrally about finding and sharing truth.
Truth-seeking is one of our
core values
. We post
our mistakes
and we prize our team members who keep our culture of free-flowing feedback strong.
We are independent.
We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs.
We don’t waste time.
Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions.
Lean research team = huge personal impact.
In 2026,
our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future.
We work well together.
Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly.
About you
We expect the Senior Livelihoods Researcher to have
A quantitatively oriented advanced degree (e.g., in economics, statistics, public policy or related fields)
Substantial professional experience in the livelihoods landscape (broadly defined). This could include experience in academic research and/or in program implementation or funding.
We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality:
GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact.
You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny.
You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s.
You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels.
You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks.
You love a
gnarly problem
. You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned.
You constantly assess whether you and the team are working on the most important things.
If you’re interested in working on GiveWell’s research team but don’t have livelihoods expertise, consider applying to our generalist
Senior Researcher
role.
The details
Compensation:
We set salaries using a location-based tier system. Our pay for this role:
NYC or the San Francisco Bay Area: $308,000.
All other U.S. locations: $280,000
International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage.
Benefits:
Our
benefits
include:
Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
Four weeks of paid time off per year
16 weeks of fully paid parental leave
Ergonomic home workstations or coworking space memberships
Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff)
Countries we can hire from:
GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for.
Visa sponsorship:
The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas.
Why we work this way:
Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals.
Flexibility:
We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another.
Travel:
Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend quarterly whole-org and department retreats to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting family or other obligations.
Start date:
We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date.
Miscellaneous details:
Please apply to only one Senior Researcher posting.
If you have deep expertise in this area, this pod-specific role is the right fit. If not, there's no need to apply here — our generalist Senior Researcher role is designed for strong researchers who don't have a single specialization, and you don't need to apply to both. Applying to the generalist role won't put you at any disadvantage!
Please note that our hiring process consists of the same work trials for the following roles: Researcher, Senior Researcher, Senior Cross-Cutting Researcher, Senior Livelihoods Researcher, Senior Malaria Researcher, Senior New Areas Researcher, Senior Nutrition Researcher, Senior Vaccines Researcher, and Senior Water Researcher. If, within the last year, you applied and were rejected for one of these roles, you should hold off on applying to the other roles, unless explicitly asked to do so by a member of our team. If you're interested in all of these roles, please just apply once and note in your application that you'd like to be considered for the other roles, too.
After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our
FAQs page
!
We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible.
We have a strong preference for full-time applicants, but we sometimes consider applications for part-time work on a case-by-case basis.
If we settle on an application deadline, we’ll write it in bold here. If you’re on our website job posting and don’t see a deadline, there is no deadline. If you’re reading this on an external job board and don’t see a deadline, you should double-check on our
website
.
You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions.
About GiveWell
GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish all the work, reasoning, and uncertainties behind our funding decisions. Our
giving funds
enable donors to contribute to the most impactful and cost-effective programs our researchers identify.
GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 150,000 donors have given over $2.6 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than
340,000 lives
.
GiveWell is most well-known for recommending a small number of
Top Charities
, which currently support
seasonal malaria chemoprevention
,
insecticide-treated nets
,
vaccine incentivization
, and
vitamin A supplementation
. However, most of our research capacity and grantmaking is devoted to
cost-effective opportunities outside of those programs
.
GiveWell
grants
have:
Helped governments
navigate changes to the funding landscape
and implement high-impact health programs, like
HIV/syphilis screening and treatment
for pregnant people in Zambia and Cameroon.
Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the
Clinton Health Access Initiative’s Incubator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we
funded a program
to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program.
Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like
healthcare support and malnutrition treatment
in northern Cameroon.
Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support
treatment of clubfoot
and to
evaluate the program
.
Tested our
assumptions and refined our understanding
through further research and data collection, including
improved estimates of disease burden
and studies on
the effect of water chlorination on mortality
and
the impact of a tree-planting program on farmers’ income
.
We make our reasoning public and transparent so others can challenge it (sometimes we even
pay people to point out our errors
). We go to unusual lengths to check our assumptions and assess our impact, including
funding research
to address our uncertainties and gathering
independent monitoring and evaluation data
about the programs we support. We
change
our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s
recent interview
with GiveWell’s co-founder and CEO Elie Hassenfeld.
Additional information
We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell's
Privacy Statement for Applicants
. By completing an application exercise, you acknowledge and assent to
GiveWell's Work Trial Policy
.
Location: Remote Canada; Remote USA
Workplace: Remote
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
Remote Exception: Docebo is a hybrid workplace requiring 3 days a week in our offices. However, due to the niche skill set required for this role, we have opened this role to remote candidates as an exception to our standard policy.
THE ADVENTURE AHEAD 🚀
As a Senior Customer Success Manager, you are the ultimate architect of the customer journey, turning complex business goals into reality through our AI-powered platform. You won’t just manage accounts; you will be a visionary consultant, using empathy and innovation to transform training into a true superpower for global brands. By mastering the art of the "Raving Fan," you will directly influence the future of learning and ensure our customers don't just succeed—they thrive.
THE DAY-TO-DAY 📅
- Champion Retention: Own the lifecycle of your portfolio by proactively reducing churn and driving deep product adoption that leads to long-term loyalty.
- Inspire Innovation: Educate and excite customers with industry best practices and creative solutions that turn their business hurdles into success stories.
- Act as a Trusted Advisor: Cultivate deep-rooted relationships as a customer advocate, ensuring every touchpoint across their journey is seamless and high-impact.
- Master the Tech: Become an elite product expert, confidently explaining technical nuances and delivering high-level presentations that showcase our platform's value.
- Engineer Success KPIs: Partner with customers to define, configure, and monitor key performance indicators that prove the tangible value of their investment.
- Fuel Growth: Collaborate across Sales and Account Management to identify upsell opportunities, ensuring our customers always have the right tools to scale.
- Build Advocacy: Identify and nurture customer champions who are eager to share their success stories through Docebo’s global marketing initiatives.
YOUR SUPERPOWERS ⚡
- The Seasoned Pro: You bring 5-9 years of experience in SaaS, specifically managing renewable books of business and driving customer satisfaction.
- Technical Fluency: You have a solid grasp of enterprise systems (SSO, CRM, HRIS) and a foundational understanding of HTML, CSS, and Javascript.
- L&D Expertise: You possess a deep knowledge of LMS administration, instructional design principles, and the latest trends in the learning and development space.
- The Strategic Consultant: You use logic, data analysis, and wisdom to make sound, timely decisions and find innovative solutions for complex problems.
- Empathetic Communicator: You excel at building rapport and demonstrate a high degree of empathy while balancing the needs of the customer with business objectives.
- Data-Driven Mindset: You have a strong ability to analyze usage metrics and key data points to drive meaningful executive conversations and strategy.
- Culture Catalyst: You maintain an upbeat, positive mindset and thrive in a collaborative environment where you share knowledge freely.
BONUS POINTS 🌟
- Platform Mastery: Previous experience specifically within HR or LMS technologies and proficiency in Salesforce CRM.
- Versatile Experience: A background as a Customer Success Specialist or Business Consultant in a fast-paced tech environment.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
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.
What You'll Do
Design and develop strategies and product enhancements for the global P2P business (ex-Hong Kong) to align with business growth objectives and drive their implementation.
Establish effective growth strategies by integrating real business scenarios with data analysis; gain in-depth understanding of global P2P market characteristics, address user needs and pain points across each market, and enhance product usability and overall user experience.
Build a user risk control and quality management system, establish standardized user operations mechanisms, identify high-risk user profiles through effective risk control strategies, and drive the refinement and upgrade of risk control models.
Maintain strong data sensitivity and establish a comprehensive business funnel data analysis framework; stay current with industry and market trends, continuously produce analytical reports and actionable strategies, and provide guidance for product upgrades and business direction.
为非香港全球P2P业务设计和制定符合业务发展的策略和技术功能，并推进落地执行；
建立有效的业务增长策略，能够结合业务实际场景和数据分析进行综合应用；同时深入了解全球P2P市场的特性，解决每个市场用户需求和痛点，打造产品易用性和用户体验；
搭建用户风控和质量管理体系，建立标准化的用户运营机制，通过有效的风控策略识别出高危用户特征，驱动风控模型完善与升级；
对数据保持敏感性，建立完善的业务漏斗数据分析体系，能够快速了解行业市场动态，并持续输出分析报告和对应打法，为产品升级及业务方向提供指导性意见
Who You Are
Bachelor's degree or above; candidates with 7+ years of experience in internet finance, blockchain, or digital currency-related industries are preferred, as are those with extensive operations management experience and exposure to multiple global markets.
Proficiency in both Chinese and English as working languages.
A strong hunger to grow, excellent industry acuity, deep frontline business involvement, highly proactive with ideas, drive, and the ability to execute.
Strong logical thinking with exceptional strategic, analytical, and problem-solving skills; outstanding communication and coordination abilities, strong teamwork, a high sense of responsibility, and the ability to perform well under pressure.
本科以上学历，7年以上互联网金融、区块链、数字货币相关行业从业经验者优先，有丰富的运营管理经验者优先，有全球诸多市场工作经验者优先；
中文、英文都能作为工作语言；
保持饥饿感，优秀的行业敏感度，深入业务一线，主动性强，有想法有动力且可落实；
逻辑思维能力强，具备很强的策略思考、分析和问题解决能力，突出的沟通协调能力、团队协作能力，责任感和抗压能力强
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.
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: United Kingdom; Moldova
We need someone who understands data deeply and uses Python to wrangle it — not a platform engineer, not a pure pipeline builder, but a data specialist who's comfortable with research, investigation, and the unglamorous work of making messy energy market data actually usable.
You'll spend significant time on tasks like: mapping BM units to power plants and fuel types, reconciling legacy data formats with current ones, ensuring consistency between different Elexon message types, and cleaning time-series data (outliers, gaps, overlaps). Some of this requires genuine investigation — cross-referencing sources, making judgment calls, documenting edge cases. There's no API that solves these problems for you.
Python is your primary tool (Pandas, Numpy, standard libraries) to minimise manual effort, but you should be comfortable that some detective work is unavoidable. If you find satisfaction in truly understanding a dataset's structure and quirks — rather than just piping data through and hoping for the best — this role is for you.
Data Mapping and Research
• Map BM units from Elexon to their corresponding power plants, substations, and fuel types — combining API data, public registers, and manual research
• Map substations to ETYS zones and grid supply points
• Build and maintain reference/master datasets that link identifiers across disparate sources (Elexon, National Grid ESO, TEC register, etc.)
• Document mappings, assumptions, and known limitations clearly for downstream users
Data Reconciliation and Consistency
• Reconcile legacy data formats with current formats (e.g., historical operational data stored in different schemas or granularities)
• Ensure consistency between different Elexon message types — understand the market data structure well enough to know why BOALF, BOD, and DISBSAD might not perfectly align and how to handle it
• Investigate discrepancies between data sources and determine authoritative values
Data Cleaning and Quality
• Clean time-series data: detect outliers (price spikes, meter errors), fill gaps appropriately, resolve overlapping or duplicate timestamps
• Develop reusable Python-based cleaning routines that can be applied across datasets
• Understand why data quality issues occur (settlement reruns, late submissions, format changes) not just patch them
Pipeline Development (Supporting the Above)
• Write and maintain Python data grabbers for energy market APIs
• Build dbt models to transform raw data into clean, analysis-ready datasets
• Orchestrate workflows via GitHub Actions
• Design PostgreSQL schemas that reflect your understanding of the domain
Requirements
•
Strong Python skills for data work
— you're fluent with pandas, comfortable writing clean, testable code, and can build reusable data processing logic. This is not an Excel role.
•
Solid SQL skills
— complex queries, window functions, CTEs in PostgreSQL
•
Experience with messy, real-world data
— you've done reconciliation, cleaning, or mapping work before and understand it's not always automatable
•
Methodical and detail-oriented
— you notice inconsistencies and want to understand root causes
•
Good documentation habits
— you know that undocumented mappings and assumptions are technical debt
•
Self-directed
— you can own ambiguous problems, do your own research, and communicate findings clearly
Nice to Have
• Experience with energy, utilities, or market data (any geography)
• Familiarity with UK energy markets, Elexon data, or grid operations
• dbt experience for transformation pipelines
• Exposure to time-series data challenges (irregular timestamps, gaps, restatements)
Highly Desirable — Agentic AI Coding Experience
We value candidates who can build software using agentic AI coding systems. This is fundamentally
different from using code completion tools or chat-based assistants.
Not What We're Looking For
• Platform/infrastructure engineers who prefer to stay above the data layer
• People who expect clean, well-documented data as input
• Those uncomfortable with research, ambiguity, or "manual" investigation work
Practicalities
• Remote-first with async collaboration (Slack, GitHub, documented decisions)
• Core overlap with UK business hours expected (at least 4 hours daily)
• Competitive compensation based on location and experience
Benefits
Plenty of opportunities for learning and professional growth
B2b contract with a paid vacation
Location: Los Angeles, United States; California City, United States
About LBC Mortgage
At LBC Mortgage, we are committed to delivering exceptional lending solutions and personalized service to our clients. As we continue to grow, we are looking for an experienced and detail-oriented Commercial Mortgage Underwriter to join our team.
Position Overview
The Commercial Mortgage Underwriter will be responsible for analyzing and evaluating commercial loan applications, assessing financial risk, and ensuring compliance with company and investor guidelines. The ideal candidate has strong experience in commercial lending, excellent analytical skills, and the ability to work efficiently in a fast-paced environment.
Responsibilities
Review and analyze commercial mortgage loan applications and supporting documentation
Assess borrower creditworthiness, financial statements, tax returns, cash flow, and collateral
Perform risk analysis and make sound underwriting decisions
Ensure loans meet internal policies, investor requirements, and regulatory guidelines
Work closely with loan officers, processors, and management throughout the loan process
Prepare clear and detailed underwriting summaries and recommendations
Identify potential risks and propose mitigating solutions
Maintain strong communication with all parties involved in the transaction
Qualifications
Minimum 2+ years of commercial underwriting experience
Strong understanding of commercial real estate lending and underwriting guidelines
Ability to analyze complex financial documents and credit profiles
Excellent attention to detail and organizational skills
Strong communication and problem-solving abilities
Ability to manage multiple files and deadlines simultaneously
Experience with residential mortgage underwriting is a plus
What We Offer
Competitive compensation
Career growth opportunities
Supportive and professional work environment
Opportunity to work with a growing and dynamic team
If you are a motivated professional with commercial underwriting experience and a passion for the mortgage industry, we would love to hear from you.
УдалённоLos Angeles, United States; California City, United States
Location: Los Angeles, United States; California City, United States; Orange, United States
About LBC Mortgage
LBC Mortgage
is a Los Angeles–based mortgage company with over
20 years of industry experience
. Our
Private Lending Division
is rapidly growing and focused on funding real estate investor loans nationwide, including Fix & Flip, Bridge, DSCR, and Ground-Up Construction.
We are looking for an experienced
Senior Hard Money Underwriter
who can independently underwrite complex deals, support junior underwriters, and ensure strong credit and collateral decisions while keeping the pipeline moving quickly.
Key Responsibilities
Independently underwrite and approve
Hard Money / Private Money loans
(Fix & Flip, Bridge, DSCR, Ground-Up, Cash-Out, etc.)
Review full loan packages including borrower profile, entity structure, credit, liquidity, and exit strategy
Analyze collateral, appraisals, comps, market conditions, rehab budgets, and timelines
Calculate and validate
LTV, ARV, LTC
, and deal profitability
Identify risk factors early and provide clear recommendations to leadership
Issue approvals, conditions, and exceptions in line with company guidelines
Collaborate with Loan Officers, Processors, and Closing teams to ensure fast turn times
Assist in training, mentoring, and supporting junior underwriters
Participate in improving underwriting processes, policies, and efficiency
Ensure loan files meet internal requirements and compliance standards
Requirements
4+ years of Hard Money / Private Money underwriting experience
(required)
Strong expertise in
ARV underwriting
, rehab budgets, and investor deal analysis
Proven experience underwriting
Fix & Flip and Bridge loans
at volume
Strong knowledge of appraisals, title, insurance, entity documentation, and real estate investor structures
Ability to work independently and make confident credit decisions
Strong communication skills with internal teams, brokers, and borrowers
Highly organized with strong attention to detail and deadline management
Preferred Qualifications
Experience underwriting
Ground-Up Construction loans
Experience underwriting
DSCR / rental portfolio loans
Background in mortgage underwriting is a plus
Familiarity with Encompass, Calyx, or other loan origination systems
Why Join LBC Mortgage
Stable company with 20+ years in the lending industry
Rapidly growing Private Lending Division with strong deal flow
Competitive compensation based on experience
Remote flexibility
Opportunity to grow into
Underwriting Manager / Credit Lead
role
High-impact position with direct influence on loan quality and performance
seniorLos Angeles, United States; California City, United States; Orange, United States
Location: Los Angeles, United States; California City, United States
LBC Mortgage is expanding its lending division and is actively seeking an experienced
Hard Money Loan Officer
to join our high-performing team.
We are looking for a driven, knowledgeable sales professional with direct experience in
Hard Money / Private Lending
. This is a results-focused role designed for someone who understands investor financing and knows how to close deals efficiently.
About LBC Mortgage
LBC Mortgage is a well-established mortgage brokerage committed to delivering tailored financing solutions to real estate investors and borrowers. As we continue to grow our lending portfolio, we are building a strong team of professionals who understand the urgency, complexity, and opportunity within the Hard Money space.
Key Responsibilities
Work directly with real estate investors seeking hard money financing
Structure and present loan solutions based on LTV, ARV, and deal strength
Manage the full loan lifecycle from lead intake to funding
Build and maintain strong relationships with investors and referral partners
Consistently meet and exceed monthly production goals
Required Qualifications
Proven experience in
Hard Money lending
(required)
Strong understanding of real estate investment transactions
Ability to analyze deals and assess risk quickly
Excellent communication, negotiation, and closing skills
Self-motivated and performance-driven
What We Offer
Competitive compensation structure
Uncapped commission potential
Strong operational and underwriting support
Growth opportunities within a respected mortgage brand
Access to consistent deal flow
If you are experienced in hard money lending and ready to grow within a dynamic mortgage company, we would love to connect.
Apply today and join the LBC Mortgage team!
Los Angeles, United States; California City, United States
Location: Los Angeles, United States; California City, United States
LBC Mortgage is expanding its lending division and is actively seeking an experienced
Hard Money Account Executive
to join our high-performing team.
We are looking for a driven, knowledgeable sales professional with direct experience in
Hard Money / Private Lending
. This is a results-focused role designed for someone who understands investor financing and knows how to close deals efficiently.
About LBC Mortgage
LBC Mortgage is a well-established mortgage brokerage committed to delivering tailored financing solutions to real estate investors and borrowers. As we continue to grow our lending portfolio, we are building a strong team of professionals who understand the urgency, complexity, and opportunity within the Hard Money space.
Key Responsibilities
Work directly with real estate investors seeking hard money financing
Structure and present loan solutions based on LTV, ARV, and deal strength
Manage the full loan lifecycle from lead intake to funding
Build and maintain strong relationships with investors and referral partners
Consistently meet and exceed monthly production goals
Required Qualifications
Proven experience in
Hard Money lending
(required)
Strong understanding of real estate investment transactions
Ability to analyze deals and assess risk quickly
Excellent communication, negotiation, and closing skills
Self-motivated and performance-driven
What We Offer
Competitive compensation structure
Uncapped commission potential
Strong operational and underwriting support
Growth opportunities within a respected mortgage brand
Access to consistent deal flow
If you are experienced in hard money lending and ready to grow within a dynamic mortgage company, we would love to connect.
Apply today and join the LBC Mortgage team!
Los Angeles, United States; California City, United States
Location: Abidjan, Côte d'Ivoire
About Intellect
At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Africa.
We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle.
We're seeking to partner with Clinical Psychologists, and Counsellors to be part of a community working collaboratively to bring greater mental health access to the public to provide mental health coaching.
Why Join Us?
Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect
Competitive compensation & attractive perks
Minimal admin burden — we handle scheduling, billing, client matching
Regular supervision & CPD included
Diverse client base — from local employees to regional/global Fortune 500 companies
Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership
You will be a practitioner on our telehealth platform 'Intellect', where your role is to support our clients' mental health and personal growth based on the individual needs and goals. This is delivered primarily through scheduled 60-minute video sessions on our platform.
This is a freelance remote role with the flexibility to decide your business hours. Local candidates are preferred but others can still be considered. This role is a great opportunity to supplement your current job or private practice.
What You'll Do
Provide 1-on-1 telehealth professional or mental health coaching for Intellect’s clients
Focus on sub-clinical cases such as work stress, procrastination, work-life balance etc.
Support your clients in setting up either person or career goals, relationships, etc
Collaboratively work with the internal clinical team by suggesting improvements to the program and the platform.
Requirements
Requirements
Has a Master / Postgraduate Diploma training in Clinican Psychology OR Counselling.
Skilled in coaching techniques and/or evidence-based approaches (e.g. Cognitive Behavioural Therapy, Motivational Interviewing, DBT, SFBT, etc.)
Counsellors must have at least 300 clinical hours post graduation
Candidate must be proficient in English and local language
Candidates with prior experience in EAP, counselling working adults or coaching managerial roles are prioritised.
Location: South Africa; Philippines; Morocco; Mexico; Argentina; Colombia
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
About the Company
Our client is a growing hospitality group managing a portfolio of boutique hotels, charming Bed & Breakfasts, and premium short-term rental apartments. Their focus is on delivering exceptional guest experiences through personalized service, operational excellence, and seamless technology-driven hospitality management.
They are seeking an experienced and highly organized Guest Relations & Bookings Manager to oversee guest communications, reservations, and operational coordination across multiple properties and booking platforms.
Job Summary
As the Guest Relations & Bookings Manager, you will take full ownership of the guest journey — from handling inquiries and reservations to managing guest issues and ensuring smooth check-ins across hotels and short-term rental properties.
This role is ideal for a hospitality professional with strong experience in both traditional hotel operations and short-term rental management systems. You should be confident managing multiple booking channels, resolving guest concerns efficiently, and working independently in a fast-paced remote environment.
Key Responsibilities
Serve as the primary point of contact for guests before, during, and after their stay, ensuring prompt and professional communication across multiple channels.
Manage guest requests including early check-ins, special accommodations, access support, and property-related inquiries.
Handle guest complaints, urgent issues, and after-hours support with professionalism and efficiency.
Coordinate with housekeeping, maintenance teams, local hosts, and on-site hotel staff to resolve operational and guest-related concerns.
Monitor and respond to guest reviews across Airbnb, Booking.com, Expedia, Google Reviews, and other booking platforms.
Manage reservations, calendar availability, and rate synchronization using Guesty and Uplisting.
Oversee listings and inventory across Airbnb, Booking.com, Expedia, and direct booking channels.
Process cancellations, booking amendments, no-shows, and rebooking requests accurately while adhering to company policies.
Prevent overbookings and efficiently manage room and apartment allocations across the portfolio.
Handle OTA disputes, guest claims, and chargeback cases professionally and effectively.
Support pricing optimization and occupancy management using revenue and dynamic pricing tools.
Ensure smooth guest check-ins, turnovers, and day-to-day operational workflows across all properties.
Maintain accurate guest records, reports, reservation documentation, and administrative systems.
Improve and maintain SOPs, operational processes, and automated guest messaging workflows.
Assist with operational improvements and system optimization initiatives to enhance efficiency and guest experience.
Requirements
2+ years of experience in hospitality, guest relations, or booking management.
Proven experience managing both hotels/B&Bs and short-term rental properties.
Advanced hands-on experience with Guesty and Uplisting.
Strong understanding of OTAs including Airbnb, Booking.com, and Expedia Group.
Experience handling OTA disputes, cancellations, and guest resolution processes.
Excellent written and verbal English communication skills.
Highly organized, proactive, and capable of managing multiple properties independently.
Comfortable working fully remote while strictly aligning with UK business hours.
Experience using hotel channel managers such as SiteMinder.
Familiarity with dynamic pricing tools such as PriceLabs or Beyond Pricing.
Experience with hospitality automation tools and workflow optimization.
Background in luxury hospitality, boutique hotels, or premium guest services.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Mexico; Colombia; South Africa; Argentina; Pakistan
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
About the Company
Our client is a high-ticket coaching, consulting, and implementation company working with founders and CEOs of digital marketing agencies scaling toward seven and eight figures. The business provides strategic consulting while also building acquisition systems directly for clients, including funnels, paid media infrastructure, sales systems, automation, and operational workflows.
Job Summary
We are hiring a
Senior GoHighLevel Specialist / Technical Operations Consultant
to own technical builds across client launches and internal systems. This is a hands-on role for someone with deep GoHighLevel expertise, strong automation and integration skills, and real experience building AI-powered workflows.
You will build pipelines, funnels, automations, AI agents, attribution systems, and integration layers across GoHighLevel and third-party tools. This role is ideal for someone who can find problems, design clean solutions, build independently, and document everything to a high standard.
Key Responsibilities
Build and manage GoHighLevel accounts, pipelines, funnels, campaigns, workflows, and automations.
Create workflow automations using Zapier, Make, direct webhooks, and API integrations.
Build and integrate AI agents using tools such as Cassidy, Custom GPTs, OpenAI, Anthropic, n8n, LangChain, or similar platforms.
Connect GoHighLevel with tools such as Stripe, Slack, Calendly, Fathom, ClickUp, and other business systems.
Design clean attribution systems from ad click to booked call to closed deal.
Troubleshoot technical issues across client accounts and internal systems.
Identify workflow inefficiencies and proactively suggest better technical solutions.
Document every build clearly through SOPs, Looms, process notes, and technical documentation.
Collaborate with media buyers, account managers, technical operators, and leadership teams.
Requirements
3+ years of hands-on GoHighLevel experience, including pipelines, funnels, campaigns, and automations.
3+ years of media buying or technical media operations experience.
Strong experience with Zapier, Make, webhooks, APIs, and custom integrations.
Experience with Meta Pixel, Conversions API, tracking, and lead-generation attribution.
Direct experience building AI agents using Cassidy, Custom GPTs, OpenAI, Anthropic, n8n, LangChain, or comparable tools.
Experience working with B2B digital marketing agencies or agency-side clients.
Ability to read API documentation and solve technical problems independently.
Coding or scripting ability in JavaScript, Python, or TypeScript is strongly preferred.
Familiarity with ClickUp and Slack.
Excellent written and spoken English for internal and client-facing communication.
Strong SOP documentation skills.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Mexico; Argentina; Colombia; Guatemala; Brazil; Costa Rica
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
About the Company
Our client is a US-based, fully remote telehealth and wellness company in its growth stage, specialising in hormone optimisation, peptide therapy, medical weight loss, and wellness therapies. The CEO leads three rapidly growing companies, making this a high-trust, high-impact support role with real ownership and growth potential.
Job Summary
We’re looking for a highly organised Executive / Virtual Assistant to provide direct support to a busy CEO. This role is ideal for someone who has supported founders or C-suite executives before and understands the importance of protecting executive time, managing competing priorities, and handling confidential information with maturity.
You’ll own calendar management, inbox management, travel coordination, personal scheduling, daily admin preparation, and operational follow-through across multiple businesses.
Key Responsibilities
Manage the CEO’s calendar daily, reviewing every invite for accuracy, completeness, and priority.
Own CEO inbox management twice daily, with a target of inbox zero by 10 AM EST and again by 5 PM EST.
Schedule calls and meetings according to a clear scheduling priority framework.
Process SMS requests from the CEO and CEO’s spouse at set times during the day.
Prepare and maintain the daily Admin Meeting agenda using the company’s structured format.
Coordinate end-to-end travel logistics, including flights, hotels, transport, itineraries, calendar blocking, and Trip Files in Google Drive.
Audit the CEO’s calendar six weeks ahead every Friday to identify gaps, conflicts, and upcoming priorities.
Coordinate closely with the CEO’s spouse on family, personal, and household scheduling.
Manage gifting, company purchases, personal appointments, and ad hoc admin tasks.
End each day by clearing lingering emails, compiling the next-day to-do list, and sending content ideas.
Requirements
Proven experience as an Executive Assistant, Virtual Assistant, or CEO Assistant.
Direct experience supporting a founder, CEO, or C-suite executive.
Strong calendar management skills, including time zones, batching, scheduling logic, and protecting executive time.
Excellent inbox management discipline and ability to make decisions confidently.
Strong discretion and confidentiality when handling sensitive personal and business information.
Advanced Google Workspace skills, especially Gmail, Calendar, Drive, Docs, and Sheets.
Experience using Slack for daily communication.
Strong travel booking and itinerary management experience.
Exceptional attention to detail and proactive follow-through.
Comfortable supporting executives across multiple businesses, brands, or projects.
Experience in telehealth, wellness, healthcare, or health-adjacent industries is a plus.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: London
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
Location:
- UK
WHAT YOU’LL DO:
- Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
- Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
- Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
- Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
- Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
- Negotiate pricing and deal terms and work with legal to redline contracts
- Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
- Help define and iterate on our sales playbook - your input will help shape our go to market strategies
- Native French Speaker
How to be successful in this role:
- 5+ years of experience selling complex software to enterprise customers
- A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
- Excellent communication and storytelling skills
- Technical acumen with the ability to establish credibility with technical decision makers.
- You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
- Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
- Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation & Benefits:
- We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
- Annual salary range: $225,000-$350,000 OTE USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
Responsibilities:
Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations
Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls – and analyze the results in order make actionable recommendations
Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success
Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
Present complex technical analyses and recommendations to both technical and non-technical stakeholders
Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow
You may be a good fit if you have:
7+ years of experience in data science or analytics roles
Deep expertise with Python, SQL, and data visualization tools
Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments
Highly effective written communication and presentation skills
A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
A passion for the company’s mission of building helpful, honest, and harmless AI
Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research.
Key responsibilities
Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair
Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others
Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy
Establish and evolve operational excellence practices (incident response, postmortem culture, on-call)
Support the growth of engineers around you through technical mentorship and coaching
Minimum qualifications
Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems
Ability to build alignment across senior stakeholders and communicate effectively at all levels
Preferred qualifications
7+ years of software engineering experience, including time as a technical lead setting direction for a team
Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency
Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines
Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons
Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads.
Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems
Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)
Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£325,000
—
£485,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We run one of the industry's largest AI compute fleets, spanning multiple cloud providers and datacenters, to train, research, and serve frontier AI models. Those fleets run on Kubernetes, and the Kubernetes Platform team owns the control plane that makes them work.
We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure.
We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow.
Key responsibilities
Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption
Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us
Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on
Build and maintain custom controllers, operators, and CRDs
Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities
Collaborate with cloud providers on required features and escalations
Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures
Minimum qualifications
Significant software engineering experience building and operating production distributed systems
Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++)
Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters
Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes
A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on
Strong written and verbal communication; comfort building consensus with internal stakeholders
Preferred qualifications
Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar
Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents)
Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments)
Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL
Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code
Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF
12+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£325,000
—
£485,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.
Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.
Key responsibilities
Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
Partner across teams to ensure new compute capacity is ingested on time
Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
Collaborate with security owners to ensure clusters are provisioned secure-by-default
Define and drive strategy on cluster scalability, homogeneity and fault tolerance
Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
Support the growth of engineers around you through technical mentorship and coaching
Minimum qualifications
Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
Ability to build alignment across senior stakeholders and communicate effectively at all levels
Preferred qualifications
10+ years of software engineering experience, including time as a technical lead setting direction for a team
Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£325,000
—
£485,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris; Warsaw; Istanbul
Workplace: OnSite
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
TEAM
You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising prototype in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become.
In this role, you'll work across our midcore game portfolio, contributing your artistic skills to titles that have already demonstrated strong core mechanics and real player engagement. Midcore games demand a rich and immersive visual language, from compelling character and environment art to visceral combat feedback and cohesive world-building, and your work will be central to delivering that.
You'll have the opportunity to contribute directly to the growth and visual refinement of our midcore titles, leveraging their existing traction to build truly exceptional player experiences. This is a unique chance to join a project pipeline with established momentum, while still having a significant impact on the creative direction within a dedicated and agile studio environment.
ROLE
- Design UX flows and UI visual assets, working closely with the Game Designer to create intuitive and engaging player experiences
- Contribute as a generalist UI/UX designer, applying strong visual design and art skills across both user experience and interface aesthetics
- Build and maintain the product's UI/UX framework in Figma, ensuring consistency, scalability, and clear design documentation
- Iterate quickly based on feedback, playtesting results, and evolving design needs in a fast-paced development environment
- Prepare and export UI assets for implementation in Unity, collaborating with developers to resolve integration challenges
PROFILE
- 3–5 years of UI art experience in mobile games
- Solid UX design fundamentals with hands-on experience shipping titles
- Proficient in Figma and Photoshop
- Comfortable handling the implementation of UI and assets into Unity.
- Experience building and maintaining UX/UI framework libraries within a game project
- Comfortable using AI tools to accelerate prototyping and asset creation
- Proactive mindset — able to identify product needs, source references, and drive solutions independently
BENEFITS
• Best-in-class compensation
• Other benefits according to the country you reside
УдалённоseniorRemote Canada; Remote USA; Remote Exception: Docebo is a hybrid workplace requiring 3 days a week in our offices; However, due to the niche skill set required for this role, we have opened this role to remote candidates as an exception to our standard policy
seniorГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorMexico; Colombia; South Africa; Argentina; Pakistan
УдалённоMexico; Argentina; Colombia; Guatemala; Brazil; Costa Rica; Strong calendar management skills, including time zones, batching, scheduling logic, and protecting executive time
