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.
Update: We will stop accepting new applications for this role on November 26, 2026.
Summary
GiveWell is seeking a Senior New Areas Researcher to help direct tens of millions of dollars annually to the most cost-effective interventions we can find. You will have an outsized influence on our funding decisions and help us save and improve lives on a global scale.
The New Areas team grantmaking is divided into three workstreams: i) our core cause areas: areas for which we devote a significant amount of time developing subject-matter specific expertise and networks, a thorough research agenda, and a large portfolio of grants (e.g., family planning, maternal and newborn health, tuberculosis and HIV); ii) our emerging cause areas: a broader set of cause areas for which the New Areas team is starting to build its expertise, networks and research agenda, and is making some initial grants (e.g., medical oxygen, applications of AI to global health); and iii) our incubators: supporting the
Clinton Health Access Initiative’s Incubator
and
Evidence Action’s Accelerator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future.
As a Senior New Areas 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 new areas. You'll sift through the countless questions we could try to answer, and hone in on those that matter most. You'll also communicate externally about your work and mentor and advise other researchers on the team.
You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell new areas 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.
What you might work on in your first year:
Tackle thorny research questions in our existing portfolios.
For example: to what extent could programs which distribute oral rehydration solution to reduce diarrheal deaths inadvertently induce exclusively breastfed children to consume poor quality water? How can we estimate the risk of reinfection after a child has completed a course of tuberculosis preventive treatment? How can we account for these concerns in our cost-effectiveness estimates?
Design and oversee learning grants.
You'll help design impact evaluations for new and existing programs, and supervise researchers executing that work — from scoping the research question through to interpreting results and integrating them into our models.
Build our evidence base in new programmatic areas.
This includes synthesising existing research, commissioning new reviews, and in some cases funding primary data collection — with the goal of determining whether a new intervention meets GiveWell's cost-effectiveness bar and is ready for major grantmaking.
Provide research support to grantmakers.
You'll ensure our cost-effectiveness models reflect our best current understanding of the programs we fund — stress-testing assumptions, incorporating new data, and flagging where uncertainty is high enough to warrant further investigation.
The Senior New Areas Researcher will help shape a major annual grantmaking portfolio, own grant investigations end-to-end (from research question through grant recommendation), and represent GiveWell to external counterparts. You'll have significant latitude to propose new areas of work.
Team structure
Our research department has ~70 people, and is currently organized into eight teams:
Five of the teams (Livelihoods, Malaria, Nutrition, Vaccination, and Water) 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 New Areas Researcher to have
A quantitatively oriented advanced degree (e.g., in epidemiology, public health, economics, or a related field).
Substantial professional experience in global health, or an adjacent field (broadly defined). This could include direct experience with program design, monitoring, or evaluation; epidemiology; cost-effectiveness modelling of health interventions; or work in program implementation or funding at a bilateral, multilateral, or NGO. We're especially interested in candidates who enjoy being generalists: you are able to get up to speed quickly on new topics and you feel comfortable task-switching.
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 new areas expertise, consider applying to our generalist
Senior Researcher
role, or our Researcher role if you have limited post-graduation experience.
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, plus a one week organization-wide summer break
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!
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’ll consider applications for part-time work. We aren’t interested in reviewing applications for contract or project-based work at this time.
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 the work, reasoning, and uncertainties behind our funding decisions. Our
giving funds
enable donors to contribute to the most impactful and cost-effective programs our researchers identify.
GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than
430,000 lives
.
GiveWell is most well-known for recommending a small number of
Top Charities
, which currently support
seasonal malaria chemoprevention
,
insecticide-treated nets
,
vaccine incentivization
, and
vitamin A supplementation
. However, most of our research capacity and grantmaking is devoted to
cost-effective opportunities outside of those programs
.
GiveWell
grants
have:
Helped governments
navigate changes to the funding landscape
and implement high-impact health programs, like
HIV/syphilis screening and treatment
for pregnant people in Zambia and Cameroon.
Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the
Clinton Health Access Initiative’s Incubator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we
funded a program
to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program.
Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like
healthcare support and malnutrition treatment
in northern Cameroon.
Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support
treatment of clubfoot
and to
evaluate the program
.
Tested our
assumptions and refined our understanding
through further research and data collection, including
improved estimates of disease burden
and studies on
the effect of water chlorination on mortality
and
the impact of a tree-planting program on farmers’ income
.
We make our reasoning public and transparent so others can challenge it (sometimes we even
pay people to point out our errors
). We go to unusual lengths to check our assumptions and assess our impact, including
funding research
to address our uncertainties and gathering
independent monitoring and evaluation data
about the programs we support. We
change
our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s
interview
with GiveWell’s co-founder and CEO Elie Hassenfeld.
Additional information
We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell’s
Privacy Statement for Applicants
. By completing an application exercise, you acknowledge and assent to
GiveWell’s Work Trial Policy
.
Location: 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.
Update: We will stop accepting new applications for this role on November 26, 2026.
Summary
GiveWell is seeking a Senior Nutrition Researcher to help direct tens of millions of dollars annually to the most cost-effective nutrition interventions we can find. You will have an outsized influence on our funding decisions and help us save and improve lives on a global scale.
Our nutrition grantmaking currently spans three sub-portfolios: Vitamin A Supplementation (VAS), iron supplementation (including iron and folic acid supplementation and large-scale food fortification), and treatment of acute malnutrition (CMAM/wasting treatment). In 2025, we directed $95 million to implementers across these areas, operating primarily in Sub-Saharan Africa and South Asia. We are actively deepening our work across all three areas, by scrutinising program coverage and quality, strengthening our cost-effectiveness models, considering different delivery platforms, and expanding our grantmaking to new geographies. We are also exploring opportunities to expand our grantmaking into interventions adjacent to our existing portfolios, as well as approaches and programs that are entirely new to GiveWell, where the evidence and cost-effectiveness case is compelling.
As a Senior Nutrition 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 nutrition. You'll sift through the countless questions we could try to answer, and hone in on those that matter most. You'll also communicate externally about your work and mentor and advise other researchers on the team.
You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell nutrition 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.
What you might work on in your first year:
Tackle thorny research questions in our existing portfolios.
For example: how should we calibrate our cost-effectiveness estimates to real-world program performance? How do we better understand coverage gaps and program quality across VAS, iron supplementation, and CMAM programs? How can we strengthen the evidence on the impact of VAS and CMAM in modern contexts, when many key trials are decades old but it would be unethical to withhold standard of care in new trials?
Design and oversee learning grants.
You'll help design impact evaluations for new and existing programs, and supervise researchers executing that work — from scoping the research question through to interpreting results and integrating them into our models.
Build our evidence base in new programmatic areas.
This includes synthesising existing research, commissioning new research, and in some cases funding primary data collection — with the goal of determining whether a new intervention meets GiveWell's cost-effectiveness bar and is ready for major grantmaking.
Provide research support to grantmakers.
You'll ensure our cost-effectiveness models reflect our best current understanding of the programs we fund, by stress-testing assumptions, incorporating new data, and flagging where uncertainty is high enough to warrant further investigation.
The Senior Nutrition Researcher will help shape a major annual grantmaking portfolio, own grant investigations end-to-end (from research question through grant recommendation), and represent GiveWell to external counterparts. You'll have significant latitude to propose new areas of work.
Team structure
Our research department is currently organized into eight teams:
Five of the teams (Livelihoods, Malaria, Nutrition, Vaccination, and Water) 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 Nutrition Researcher to have:
A quantitatively oriented advanced degree (e.g., in epidemiology, statistics, economics, public health, nutrition or related fields)
Substantial professional experience relevant to nutrition. We interpret this broadly:
The majority of our work to date has been nutrition programming delivered through the health sector, but we are also interested in other sectors (e.g. agriculture/food systems) that directly affect nutrition outcomes.
Relevant professional experience could include: research roles (e.g. clinical nutrition research; epidemiological or health economics modeling), program roles (e.g. design and implementation, or monitoring and evaluation); funding roles (e.g. grantmaking or impact investing); or other roles in public sector, private sector or non-profit organizations that save and improve lives by addressing malnutrition.
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 nutrition expertise, consider applying to our generalist
Senior Researcher
role, or our Researcher role if you have limited post-graduation experience.
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, plus a one week organization-wide summer break
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!
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’ll consider applications for part-time work. We aren’t interested in reviewing applications for contract or project-based work at this time.
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 the work, reasoning, and uncertainties behind our funding decisions. Our
giving funds
enable donors to contribute to the most impactful and cost-effective programs our researchers identify.
GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than
430,000 lives
.
GiveWell is most well-known for recommending a small number of
Top Charities
, which currently support
seasonal malaria chemoprevention
,
insecticide-treated nets
,
vaccine incentivization
, and
vitamin A supplementation
. However, most of our research capacity and grantmaking is devoted to
cost-effective opportunities outside of those programs
.
GiveWell
grants
have:
Helped governments
navigate changes to the funding landscape
and implement high-impact health programs, like
HIV/syphilis screening and treatment
for pregnant people in Zambia and Cameroon.
Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the
Clinton Health Access Initiative’s Incubator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we
funded a program
to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program.
Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like
healthcare support and malnutrition treatment
in northern Cameroon.
Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support
treatment of clubfoot
and to
evaluate the program
.
Tested our
assumptions and refined our understanding
through further research and data collection, including
improved estimates of disease burden
and studies on
the effect of water chlorination on mortality
and
the impact of a tree-planting program on farmers’ income
.
We make our reasoning public and transparent so others can challenge it (sometimes we even
pay people to point out our errors
). We go to unusual lengths to check our assumptions and assess our impact, including
funding research
to address our uncertainties and gathering
independent monitoring and evaluation data
about the programs we support. We
change
our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s
interview
with GiveWell’s co-founder and CEO Elie Hassenfeld.
Additional information
We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell’s
Privacy Statement for Applicants
. By completing an application exercise, you acknowledge and assent to
GiveWell’s Work Trial Policy
.
Location: Field - New Jersey
At Clover Health, our mission is simple but powerful: to improve every life by delivering care that is high-quality, accessible, and rooted in compassion and innovation. Our Clover Care Services (CCS) team brings this mission to life by offering personalized, proactive support to our members while partnering closely with providers to elevate outcomes across the community. Powered by Clover Assistant, our advanced data-driven platform, we combine technology with the heart of caregiving, empowering patients, supporting providers, and transforming the way care is delivered.
We are seeking compassionate and driven
Lead Physicians
to join our dynamic Clover Home Care team in
Hudson County New Jersey
. This is a unique opportunity to provide comprehensive primary and supportive care directly in the homes of our most vulnerable members, improving both health outcomes and quality of life.
As a Lead Physician, you will:
Oversee the care and outcomes for a patient cohort, managing cases directly and in collaboration with our team of nurse practitioners.
Conduct in-home and telehealth visits for Medicare Advantage members, leveraging our technology (Clover Assistant and EMR) to deliver high-quality, preventive care.
Coordinate with members' interdisciplinary care teams and other providers to create personalized care plans and actively close gaps in care.
Provide clinical leadership and mentorship by guiding and supporting nurse practitioners, fostering professional growth, and ensuring the delivery of high-quality, compassionate care across the Clover Home Care team.
Advance clinical excellence and outcomes by leading quality improvement initiatives, conducting assurance reviews, and collaborating with the Medical Director and Practice Manager to optimize care processes and performance.
You should get in touch if:
You hold an MD or DO degree and are board-certified in Internal Medicine, Family Medicine, or Geriatric Medicine.
You are excited about practicing in New Jersey, we welcome the opportunity to support relocation for exceptional providers looking to make this region their home.
You are (or are willing to become) licensed in New Jersey, with DEA and CDS registrations, we will support you in obtaining these if needed.
You bring a minimum of five years of advanced clinical practice experience, with proven expertise in chronic disease management and a strong commitment to improving the lives of vulnerable senior populations.
You have prior experience in home care (preferred).
You are excited about technology and embrace its use to drive high-quality clinical care and improve member outcomes.
Benefits Overview
:
Financial Well-Being:
Our commitment to attracting and retaining top talent begins with a competitive hourly rate. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
Support for Our Clinicians:
Professional liability (malpractice) coverage, Clover-branded scrubs, Personal Protective Equipment (PPE), mileage reimbursement at the IRS rate, license and certification renewal reimbursement, and WiFi reimbursement for select roles.
Physical Well-Being:
We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
Mental Well-Being:
We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as company holidays, access to mental health resources, and a generous time-off policy.
Full-time employees accrue up to 18 days of vacation per year.
Clover recognizes 10 federal holidays, including New Year's Day, Juneteenth, and Christmas. There are also 4 additional paid holidays, and 1 floating holiday.
Professional Development:
Developing internal talent is a priority for Clover. We offer paid Continuing Medical Education (CME) days, a role-based CME allowance, learning programs, mentorship, and regular performance feedback and reviews.
Additional Perks:
Reimbursement for office setup expenses
Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
Paid parental leave for all new parents
And much more!
About Clover:
We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.
We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.
From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
#LI-ONSITE
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an
E-Verify
company.
Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.
A reasonable estimate of the base salary range for this role is:
$250,000
—
$280,000 USD
Location: Munich, Germany
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 an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Native German speaker with fluent English proficiency
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Singapore
About the Role
The Cloudflare APAC sales organisation operates as one integrated revenue system. Account Executives, Customer Engineers, Partner Account Managers, Business Development Representatives, Customer Experience Managers, Professional Services and Revenue Operations work as a continuous engine — winning, deploying, adopting, expanding, and scaling platform commitments across the full customer lifecycle.
The system is supported by an AI-embedded operating model. The work itself, however, remains human. The role of every seller at Cloudflare is to bring critical thinking, judgment, and trust to customer relationships and outcomes.
In this role, you will be responsible for driving significant growth by landing and expanding a portfolio of assigned customers in your assigned territory. The ideal candidate possesses a strong blend of sales acumen and technical understanding, enabling them to engage effectively with both technical and non-technical buyers. As an Account Executive, you will drive revenue velocity by utilizing foundational sales data layers for accurate forecasting, proactive pipeline management, and consistently exceeding attainment targets.
You are the kind of operator who uses AI as a force multiplier every day, cares more about customer outcomes than job boundaries, and demonstrates curiosity, judgment, and high agency.
Responsibilities
Own and execute a comprehensive territory plan to consistently achieve and exceed sales and revenue targets.
Cultivate long-term strategic relationships with key accounts and partners. Lead executive-level transformation narratives that earn the right to be in the architecture conversation.
Leverage top partners as an extension of the sales team to co-sell alongside where they bring customer relationships, services capability, or procurement leverage. Drive regular forecast & pipeline cadences with top partners.
Understand customer network architectures, the problems that Cloudflare can solve and effectively translate Cloudflare’s solutions to drive successful platform sales, ensuring clients can secure and scale their own AI-driven workloads.
Manage contract negotiations and structure platform-level commercial commitments (multi-year, multi-product, outcome-anchored) rather than point-product deals.
Stay engaged through onboarding, adoption, and the first renewal. Partner with Customer Engineers, Professional Services on a deployment plan with milestones tied to measurable outcomes.
Proactively build and manage a robust sales pipeline by leveraging internal tools, AI-assisted research and pipeline sources (BDR, Channel, Marketing).
Maintain high standards in pipeline discipline, CRM hygiene and forecasting accuracy.
Desirable Skills, Knowledge, and Experience
Bachelor's degree or equivalent work experience.
At least 5 years experience selling technology solutions in the BFSI sector.
Experience selling technology solutions in Financial Services Industry in Hong Kong.
Demonstrated track record of consistently meeting and exceeding multi-million dollar quota targets.
Proficient in discovery, positioning, competitive selling, negotiation, closing, and multi-threaded land and expand strategies.
Strong understanding of computer networking, cloud security technology, and how enterprise infrastructure adapts to automated data workflows.
Exceptional interpersonal communication skills and value selling skills.
Proficiency in modern sales software, customer data environments, and core systems (e.g., Salesforce, Tableau, G-suite).
Thinks critically rather than reacting, exercises judgment under uncertainty, names risks honestly, shows genuine empathy for customers as people, can point to relationships built over time on trust, and demonstrates visible curiosity in how they prepare, sell, and learn.
Willingness to actively engage with AI tools and experiment.
Ability to travel as required.
Cultural fluency for assigned markets; Proficiency in Cantonese is required, as the role involves daily interaction with Hong Kong Clients.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
You’ll lead the Mobile AI engineering team, responsible for making Notion AI genuinely useful on phones and tablets. Mobile is where AI needs to work in the moment: when users are capturing ideas, catching up between meetings, asking questions, or trying to move work forward away from their desk.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE
- Define and evolve the roadmap for Notion’s core mobile AI surfaces, including chat, capture, agent workflows, workspace Q&A, and lightweight creation flows.
- Take new mobile AI ideas from exploration to shipped product, using prototypes, user feedback, and product data to decide what to build next.
- Improve the production quality of mobile AI by identifying instrumentation gaps, reliability risks, and performance bottlenecks before they become user problems.
- Help the team build the right technical foundations for fast iteration across mobile, web, and server boundaries.
SKILLS YOU'LL NEED TO BRING
- Engineering leadership: You have 2+ years managing engineering teams and have helped teams ship high-quality products at scale.
- Hands-on technical leadership: You stay close enough to the code to guide architecture, performance, reliability, and release-quality decisions — and can make small contributions when it helps the team move faster.
- AI product curiosity: You don’t need to be an AI researcher, but you are hands-on with AI tools and curious about how AI changes product development, engineering workflows, and user expectations.
- Execution through ambiguity: You can turn open-ended product bets into clear strategy, sequencing, staffing, and delivery.
- Cross-functional leadership: You work well with across different functions to define problems and ship polished outcomes.
- People leadership: You recruit, coach, and grow engineers, build an inclusive team, and communicate clearly through disagreement.
NICE TO HAVES
- You’ve led teams building AI product experiences involving streaming UX, tool use, voice or multimodal input, evaluation loops, or reliability guardrails.
- You’ve managed teams through 0→1 product development or fast iteration on new product surfaces.
- You have experience with mobile platform concerns such as offline resilience, realtime collaboration, rich-text editing, app performance, or release quality at scale.
- You’ve led teams delivering end-to-end product experiences across mobile, web, and server boundaries.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in New York City, the estimated base salary range for this role is $255k - $290k per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
About the role
AI-powered and agentic developer tools are changing what is possible, creating an opportunity to rethink how engineers write, test, review, ship, and operate software. At Reddit’s scale, that means building tools that are not only more intelligent, but also faster, more reliable, easier to use, and grounded in strong engineering fundamentals.
This role sits at the center of that work: designing and building the platforms, services, systems, and workflows that improve how Reddit engineers develop software. You’ll work across backend systems, infrastructure, developer tooling, and AI-powered workflows to solve problems that affect hundreds of engineers across the company. You’ll collaborate closely with teams that own CI/CD, infrastructure, security, and product systems, as well as engineering teams across Reddit that rely on these tools every day. We’re looking for someone with strong engineering fundamentals, infrastructure experience, product judgment, and a real interest in developer experience and developer productivity.
Some of our present and future challenges include:
Designing and building the next generation of developer tooling, including agentic and AI-powered workflows.
Improving developer velocity, confidence, and service reliability across Reddit Engineering.
Building tools and workflows that make writing, testing, reviewing, and shipping code easier.
Scaling our infrastructure, services, APIs, and processes to serve a growing engineering organization.
Understanding internal users’ needs and turning that understanding into meaningful product and technical improvements.
Building integrations across Reddit’s existing infrastructure, CI/CD, security, source control, deployment, and operational systems.
Investigating, building, and integrating novel technologies where they solve real problems for developers.
You’ll draw on your backend, infrastructure, and platform engineering experience to build developer tooling that is scalable, reliable, easy to use, and valuable to a growing engineering organization. You’ll work directly with engineers across Reddit to understand their pain points, shape solutions, incorporate feedback, and communicate the impact of the team’s work.
What You’ll Do
Work cross-functionally across Reddit Engineering to understand developer needs, quickly prototype solutions, and iterate based on feedback.
Design and build backend systems, APIs, infrastructure, and platform capabilities that improve developer workflows across Reddit.
Build scalable and reliable systems across both AI-powered developer workflows and the core non-AI systems engineers rely on every day.
Lead high-impact projects across Reddit’s developer tooling ecosystem by writing and reviewing code and design docs, aligning stakeholders, and making pragmatic technical tradeoffs.
Build tools and integrations that connect developer workflows with Reddit’s existing infrastructure, CI/CD, security, source control, deployment, and operational systems.
Design and implement maintainable APIs, services, libraries, and platforms that support internal developer tooling at scale.
Improve the team’s tools, processes, and best practices while raising the bar for reliability, usability, scalability, and maintainability.
Mentor engineers and help shape a roadmap that reflects real developer needs and delivers meaningful improvements to Reddit’s engineering organization.
You Have
5+ years of hands-on, post-grad, non-internship professional software development experience, with backend, infrastructure, or platform engineering as a core strength.
3+ years of industry experience working on large-scale distributed systems, including building and improving highly scalable and reliable services.
Strong proficiency with Go, and significant experience with Go in production systems.
Experience designing and implementing maintainable APIs using technologies such as GraphQL, REST, HTTP, or gRPC.
Experience building platforms, developer tools, libraries, frameworks, or internal systems used by other engineers.
Experience with infrastructure, Kubernetes, cloud providers, or other systems that support modern software development and delivery.
Hands-on experience using AI-powered developer tools and workflows, with curiosity and judgment about where these tools can meaningfully improve developer productivity.
A track record of leading large, ambiguous, high-impact projects that require cross-team collaboration, technical judgment, stakeholder alignment, and clear ownership from problem definition through delivery.
A user-focused mindset, with strong empathy for internal engineering users and a focus on usability, reliability, scalability, and quality.
Excellent communication skills, with the ability to influence technical direction and navigate complex requirements across technical and non-technical stakeholders.
Experience mentoring engineers, raising the technical bar, and helping teams make pragmatic tradeoffs.
A self-directed, action-oriented approach. You are comfortable operating in ambiguity, learning quickly, and driving work forward even when the path is not fully defined.
Bonus Points
Experience working in developer experience, developer productivity, internal platforms, or developer tooling.
Experience building tools or workflows for internal engineering users.
Experience building or extending CI/CD systems, and partnering with teams that own build, test, and release workflows.
Experience with GitHub Enterprise Server or large-scale source control platforms.
Experience with Python.
Experience measuring the impact of platform or developer productivity work through experimentation, measured rollouts, analytics, reliability metrics, or qualitative feedback.
Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Remote
About us
OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research.
Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap.
We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle.
Please note:
Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information.
The Secure Development team ❤️
OpenZeppelin is the security partner of choice for the most important protocols in Web3. Our Secure Development team sits at the intersection of building and breaking: we design, implement, and harden production-grade libraries and smart contracts for leading projects across EVM, Starknet, Stellar/Soroban, Arbitrum Stylus, Aptos, and beyond, often as an embedded extension of the client's engineering team.
We work the way the rest of the industry will five years from now. Every developer on the team is a fully AI-native engineer, supported by outstanding internal AI tooling built for every phase of secure development. Developers own their workstreams end-to-end — agents amplify their effectiveness, and peers, security researchers, and external auditors provide rigorous review on every piece of work that ships.
The Canton Network engagement
This role joins an active
24-month, multi-million-dollar commitment
to build the open-source DeFi foundations of the world's most institutional blockchain. You'll deliver production-ready Reference Implementations (privacy-preserving DEX, lending, cross-chain stablecoin settlement, confidential auction launchpad, and more), the OpenZeppelin Contracts Library for Daml that Canton developers will import, and Canton standards implementation.
Within this, you will:
Own features of the OpenZeppelin Contracts Library for Daml end to end, from design through audit: examples include a Timelock, access control, vaults, or token standard support.
Design and implement components of the year-1 Reference Implementations: privacy-preserving DEX, lending protocol, cross-chain stablecoin settlement, and confidential auction launchpad.
Implement and shepherd the OZ Daml versions of CIP-56, CIP-86, CIP-103, future CIPs. Coordinate with Digital Asset on spec evolution and with ChainSafe on middleware alignment.
Present and defend your designs in technical discussions with Digital Asset, the Canton Foundation, and other partners.
Work with OpenZeppelin's security researchers on threat models, audit preparation, and fixes for the components you own.
Use AI systems as core daily tools for research, design, implementation, testing, and security work. Build agents, skills, and workflows, and share what works with the team.
Contribute developer-experience and security feedback upstream into the Canton protocol, Splice, the Daml SDK, and the Splice Wallet Kernel.
Research privacy-preserving DeFi, multi-party authorization patterns, and Canton-specific primitives, and share what you learn with the team.
You have
Production Daml fluency.
You understand templates, choices, controllers/observers/signatories, multi-party authorization, sub-transaction views, and propose/accept patterns as first-class primitives. Running an SV, contributing to Splice internals, governance, or Canton Coin tokenomics.
Canton architecture depth.
You understand the network, not only the code: the Global Synchronizer and private synchronizers, what each party and synchronizer sees in a transaction, smart contract upgrades, and the token standards (CIP-56, CIP-112).
3+ years of smart contract development in production.
This includes hands-on work on Canton or another UTXO-based or privacy-preserving architecture (Cardano, Midnight, Zcash, Aleo, Mina, or similar). You can reason about Canton's privacy boundaries the way an EVM developer reasons about storage slots.
Production DeFi experience.
You have shipped DeFi primitives such as AMMs, vaults (ERC-4626 or equivalent), lending protocols, or cross-chain settlement, and you understand the security pitfalls of each. You know the standard EVM patterns (access control, token standards, lending pools, DEXs), because many Canton standards reuse them.
A security-first mindset.
This is non-negotiable. You build secure code by default, you think adversarially about every line you write, and you find vulnerabilities when you review Daml code. We look for a developer with a security mindset, not a security researcher. Published audits, threat models, or disclosures are a plus.
An AI-native workflow.
Claude Code, Cursor, or equivalent is your daily driver. You know agents, harnesses, and skills, not only autocomplete. You hold AI output to the same standard as a colleague's pull request, and you stay accountable for everything you ship.
Fluency in client-facing communication (English)
Autonomy and proactivity.
Nice to have
Cryptography or financial-engineering background.
Privacy-preserving DeFi rewards both.
Institutional finance and compliance design experience.
Credential gates, multi-party attestation, custody flows, capital-markets microstructure, RWA tokenization, settlement.
Experience running an SV
, contributing to Splice internals, governance, or Canton Coin tokenomics.
Cross-chain interoperability exposure.
Production work with at least one major cross-chain messaging protocol (Chainlink CCIP, LayerZero, Wormhole, Axelar, or similar).
Library / SDK API design taste.
You've built reusable, import-first developer libraries, not just applications. You have opinions on extensibility patterns (hooks, modular components, override points) and on what makes an audited primitive
pleasant
to consume.
Experience applying AI to security work.
You've already used AI as a serious instrument in security workflows: audit assistance, vulnerability research, fuzzing, invariant or spec analysis, static-analysis augmentation, or similar.
Hands-on experience with non-EVM ecosystems.
Starknet, Stellar/Soroban, Arbitrum Stylus, Aptos, Move-based chains.
Open-source contributions
to widely-used libraries in the smart-contract or AI-tooling space.
Logistics
Our interview process is designed to be fast (we target ~30 days from first call to offer) while still giving both sides a clear "yes." The full process consists of:
Recruiter interview (30-45 minutes)
Manager interview (60 minutes)
Team interview (45 minutes)
Leadership Interview (30 minutes)
Paid technical work trial
Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.
Benefits
Meet your teammates at company gatherings around the world 😎
Enjoy the flexibility of fully remote work 🌎
Take the time you need with flexible time off 🏝
Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙
Build your ideal home office with up to $500 in equipment support 🪑
Stay covered with medical insurance 🏥
Keep growing with learning and development opportunities 🧠
Get a monthly stipend for your preferred co-working space 💻
At
OpenZeppelin
, we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us!
Use of AI as part of the recruiting process
As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s
Data Privacy Notice
.
If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's inference fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation.
The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions:
throughput, latency, reliability, and correctness
. We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins.
You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might mean tightening a correctness eval so it catches an output regression introduced by a quantization change. We're looking for performance engineers who treat correctness as part of performance.
Key Responsibilities
Run cross-layer performance investigations across throughput, latency, and reliability, sizing the gap between actual fleet performance and theoretical rooflines, identifying root causes, and quantifying the value of closing them
Own and improve the correctness evaluation pipeline that validates model output quality across hardware platforms, numerics, and serving configurations, and lead the investigation when it catches a regression
Build the observability, dashboards, and modeling tools that make throughput, latency, cost, reliability, correctness, and their interactions legible across the stack
Partner with kernel, serving, routing, autoscaling, and capacity teams to prioritize and land the highest-impact optimizations your analysis surfaces
Ruthlessly stack-rank a large surface area of opportunities by impact and effort, and say no to the ones that don't make the cut
Minimum Qualifications
Hands-on performance engineering experience: profiling, roofline analysis, latency/throughput optimization, and root-cause investigation in complex production systems
Proficiency in Python, with the ability to read, instrument, and contribute to large production codebases you didn’t write
Solid data analysis skills (e.g. SQL, pandas, or similar) sufficient to turn raw telemetry into clear findings
Ability to communicate quantitative results clearly in writing to influence priorities on teams you don't manage
Genuine interest in correctness as an engineering discipline: numerics, evaluation design, regression detection
Preferred Qualifications
Experience with ML systems, especially training or inference infrastructure or general LLM serving stacks. Direct large-scale inference experience is a strong plus
Familiarity with GPU/TPU/accelerator performance concepts (memory bandwidth, kernel overheads, quantization, collective communication). Reasoning about these matters more than having written kernels yourself
Experience with reliability engineering for high-throughput services: autoscaling, load balancing, request routing, tail latency
Experience with model evaluation or numerical regression-detection pipelines
Experience building observability or telemetry for distributed systems
Comfortable having impact through influence and evidence rather than direct ownership
Representative Projects
Trace a 350ms latency gap on a new accelerator platform from end-to-end request timing down to a server scheduling overhead, quantify the win, and land the fix directly or with the owning team
Redesign the correctness eval gate: determine which signals reliably catch real model-output regressions versus noise, and make it the trusted release criterion across hardware backends
Build a FLOPs funnel that breaks down where compute actually goes across the fleet, exposing the gap between achieved throughput and kernel rooflines
Root-cause a numerical divergence between two hardware platforms to a specific kernel change, and define the acceptance threshold going forward
Model the latency–cost impact of changing batch-sizing and utilization targets, and turn the result into the signal the autoscaler uses in production
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$850,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Remote
Workplace: Remote
We are looking for a Sr. Product Data Scientist to join our growing Data team in our Product organization. This is a senior individual contributor role with broad scope across product insights, experimentation, modeling and applied analytics. The ideal candidate is not only technically strong, but also proactive in uncovering opportunities, framing insights, and ensuring leaders have the context they need to make the right calls. We are looking for this individual to bring analytical thought leadership as we continue to rapidly grow and iterate on our product offerings across Talkiatry.
You’ll own projects that range from producing growth and performance analyses that guide strategic and product decisions, to designing and evaluating experiments, to improving patient engagement and clinical efficiency. You’ll be expected to communicate insights proactively, frame results in business terms, and work closely with your core cross-functional teammates (Product, Engineering and Design) as well as stakeholders across Operations, Clinical, and Finance.
ABOUT TALKIATRY:
Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care.
Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 900+ psychiatrists, 400+ therapists, and more than 4 million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America.
Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.
YOU WILL:
Proactive Insights & Storytelling
- Identify growth opportunities for the Product teams by analyzing data and understanding patient behaviors.
- Help Product teams maximize impact, by working wtih PMs and engineers to understand costs and constraints, while looking at underlying data and making reasonable assumptions to size opportunities.
- Identify risks by exploring data and monitoring trends to understand the impact of emerging issues before they become problems.
- Frame analyses and estimates in terms of “so what” for the practice to ensure findings don’t just inform, but influence the team.
- Develop regular deliverables that turn historical data into forward looking guidance for product and operational teams.
- Anticipate questions our teams should be asking and bring forward insights before they’re requested.
Experimentation & Measurement
- Partner with Product and Operations teams to design experiments, define success metrics, and implement robust statistical evaluation frameworks.
- Ensure appropriate statistical power, so results are both valid and actionable.
- Analyze experiment results and establish clear post experiment communication, ensuring learnings (positive or negative) are codified and inform future product or operational decisions.
Applied Analytics
- Lead analyses on patient growth, clinician utilization, marketplace dynamics and more to surface actionable insights to leadership.
- Translate adhoc analyses into repeatable frameworks and scalable reporting so insights don’t stay one-off, but become institutional knowledge.
Collaboration
- Collaborate with Data Engineering and Analytics Engineering teams to define requirements and highlight gaps, so that data pipelines reliably support advanced analytics and modeling.
- Act as a thought partner to Operations, Clinical, and Finance leaders, not just answering questions, but shaping the questions we should be asking.
YOU HAVE:
- 4+ years of experience in data science, analytics, or related fields, with a track record of delivering measurable business impact.
- Advanced proficiency in Python (pandas, scikit-learn, statsmodels and all other common data science packages) and SQL; experience with modern data warehouses (Snowflake, Redshift, BigQuery).
- Strong foundation in experimental design, causal inference, and statistical methods.
- Exceptional communication skills, displaying the ability to frame technical findings in a way that resonates with stakeholders.
- Experience in DBT is a plus, but not required.
- Experience on a Product growth team, where experimentation and opportunity identification were key aspects of the role, is a plus.
- Strong applied experience in data science is essential; a Master’s or PhD in a quantitative field is a plus.
WHY TALKIATRY:
- Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care
- Collaborative environment: be part of building something from the ground up at a fast-paced startup
- Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!
- Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands
- It all comes back to care: we’re a mental health company, and we put our team’s well-being first
Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0.
At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us.
We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.
Location: Chicago, United States
Workplace: fully
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
The Enterprise Account Executive will work as an integral part of the sales team responsible for identifying, building and maintaining sustainable partnerships, driving revenue and pipeline. This role will join a team that connects with C-level decision makers leading companies. You will hunt for new business, own the sales process from start to finish, and own and develop your own territory.
Responsibilities:
· Develop innovative strategies and plans for each target and win new customers to grow the overall value of the territory.
· Engage at multiple levels within each customer account (e.g. CIO, CISO, CFO and CEO) to maximize account engagement and long-term success.
· Build a network of executive relationships across industry, community, business groups, and with key partners and customers to identify opportunities to increase sales.
· Monitor and take the necessary measures to ensure that you develop an adequate pipeline of opportunities via demand generation for consistent growth within your target accounts.
· Stay current and informed on all new campaigns, understanding their objectives and relevance, communicate to your sales team and ensuring that all involved know their roles in the successful campaign.
· Manage existing customers for upsell and cross sell expansion.
· Build pipeline and forecast management, outbound lead generation.
· Up to 50% travel requirement (domestic)
Required Experience:
· 5-8+ of selling high value complex enterprise software solutions into a host of different verticals such as Insurance, Retail Banking and Finance.
· Have met/exceeded direct sales goals of 1.5M+ and operated with an average deal size of $250k+
· Familiarity with the MEDDPICC approach.
· Excellent track record of success in an individual contributor role with a strong net new business component and demonstrable success in growing footprints in existing customer.
Skills:
· Ability to develop a strategic territory plan and create a relevant execution plan to deliver it
· Ability to clearly demonstrate comfort with senior level meetings and presentations in a virtual selling role.
· An ambitious self-starter with high energy and motivation.
· Demonstrated ability to grow deals through Consultative selling and Value-based approach
What we offer:
Work location is Remote, USA. (The ideal candidate resides in the Midwest region of USA)
Ideally in Chicago, IL.
Competitive compensation including stock-based options
Flexible PTO and paid holidays
401(k) with employer matching
Comprehensive Health insurance package including 100% employer-paid medical coverage
Up to 12 weeks of Parental Leave
Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid
Quarterly teambuilding events, leadership luncheons, and companywide “All Hands” meetings
Open door policy and business casual dress code
We celebrate diversity as one of our core values. Join c-a-r-e and lead change initiatives together with us!
The base salary range for this position is $125,000 - $150,000 USD annually. This range represents the base pay TeamViewer reasonably expects to offer for this role and may vary based on job-related factors such as skills, experience, qualifications, location, business needs, and internal equity. In addition to base pay, this role may be eligible for TeamViewer’s company bonus and RSU program. TeamViewer offers eligible employees a competitive benefits package designed to support health, wellbeing, family, and financial security. Benefits may include medical, dental and vision coverage; HSA and FSA options; a 401(k) plan with employer match; life and AD&D insurance; short- and long-term disability coverage; an Employee Assistance Program; voluntary benefits; pet insurance; and employee discounts. Eligibility and offerings may vary by role, work schedule, location, and plan terms.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. Please understand TeamViewer is unable to provide sponsorship for employment or work authorization now or in the future.
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma is hiring for a Manager, Enterprise Sales to shape our sales strategy and collaborate with teams across the company. You aren’t the typical sales leader, and we aren’t the typical design tool company. At Figma we think creatively, lift constraints that block our imagination everyday and we expect you to do the same. With this role you’ll get in at the ground floor in a fast growing sales org. You’ll collaborate with our existing customer base and potential customers in driving meaningful relationships that make valuable contributions to the customer experience and revenue to our bottom line.
Figma is growing and moving fast. Our next team member will have an agile, dynamic mentality, be comfortable embracing change, a true team-player, and love working with our growing footprint of Fortune 1000 customers. You won’t be alone! Figma has an incredible team and you’ll work closely with other groups including Support, Design, Engineering, Product Marketing, Customer Success, and Community. As a Manager, Enterprise Sales, you will lead a team of Account Executives responsible for the engagement, expansion and retention of our rapidly growing customer base. You will report to the Director of Enterprise Sales.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
Lead a team of motivated and diverse individuals to foster an environment of success
Participate in customer and prospect meetings
Assist in continual training and development, including mentorship, hiring and career growth
Help shape and further develop sales processes and initiatives
Interview, hire and train new team members as we scale the business and company
Deliver weekly forecast meetings and advise Account Executives on strategies to help exceed their goals
We'd love to hear from you if you have:
7+ years of SaaS sales experience, including 2+ years managing sales teams
Strong understanding of technical products, market dynamics, and competitive landscapes
Proven ability to thrive in fast-paced, constantly evolving environments
Exceptional coaching, communication, discovery, and presentation skills
Passion for driving customer success, building lasting relationships, and delivering consistent sales results
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$155,500
—
$230,500 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Boston, Massachusetts, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
It's Your Turn.
You've landed on the best square on the board. At Hasbro, we've been making the games that end up on family tables, dorm room floors, and game night wish lists for over 100 years. Monopoly. Scrabble. Clue. Risk. Battleship. Connect 4. Trivial Pursuit. Candy Land. Avalon Hill. Whether you've played them for years or are just discovering them, there's something here to love. Now imagine being the lawyer who helps protect, grow, and shape them.
We're looking for an Attorney to join our Global Games Legal Team supporting Hasbro Games. If you've got great legal instincts, a collaborative spirit, a sense of humor, and a genuine love for the way games bring people together, read on!
As part of our legal team, you'll be a trusted advisor to the people building the next generation of Hasbro's most iconic game brands. That means working across product development, licensing, marketing, emerging tech, entertainment and AI - all in service of games that millions of people around the world know and love. You'll work fast, think on your feet, and never be bored.
Location and Work Arrangement
This role is based at our Boston, MA, United States office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Be the go-to legal advisor for the Hasbro Games business - counseling partners on IP, licensing, advertising, promotions, privacy, regulatory compliance, AI, and emerging tech.
Draft and negotiate a wide range of agreements: IP licenses, game concept submissions, talent and consulting deals, tech and AI agreements, marketing and promotion contracts, and NDAs.
Navigate the fast-moving world of AI tools, digital platforms, and data-enabled products — from IP ownership questions to responsible AI adoption — and translate the complexity into clear, practical guidance for business teams.
Guide game and product development, packaging, and campaigns across TV, print, digital, and social including sweepstakes, contests, and consumer promotions.
Partner with senior leaders and cross-functional teams to anticipate issues, manage risk, and make great ideas happen without getting stuck in Go Directly to Jail territory.
Support licensing deals that extend beloved Hasbro game brands into new worlds - digital experiences, mobile games, live events, collaborations, and beyond.
What You'll Bring
J.D. from an accredited law school, active bar membership in good standing, and 4 - 8 years of legal experience in a law firm and/or in-house - bonus points if that experience touches games, toys, consumer products, or entertainment.
Strong chops drafting and negotiating IP, commercial, and technology agreements.
Real experience with AI-enabled tools and advising on AI and emerging tech including risk and clear communication to non-legal partners.
Solid grounding in copyright, trademark, and rights of publicity; working knowledge of digital, data, and privacy law.
Excellent judgment, clear communication, and creative problem-solving - the kind that finds the “yes and” rather than just the "no."
The ability to manage a full docket in a fast-moving environment - juggling multiple games at once, so to speak.
What Sets You Apart
Patent licensing experience.
An actual love of games? That'll take you far.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$137,200
—
$205,900 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Munich
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU'LL DO
- GTM technical expert: Design and demo Sierra’s incredible Agent product, offering technical solutions to solve for our customer’s needs, and answering technical questions about our solutions.
- Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy.
- Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution.
WHAT YOU'LL BRING
- 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales.
- Past experience in demo building, and presenting, and working with customers or clients in the GTM function.
- Experience in relationship-building with potential customers, including executives and technical leaders.
- Experience in leading the sales process with Enterprise customers.
- Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience
- Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]."
- Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- Experience translating code, technical logic and user requirements to product and engineering requirements.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Bangalore, India
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Brussels, Belgium
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Abu Dhabi, United Arab Emirates
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
seniorГеография найма не уточнена
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.
leadСША; You are excited about practicing in New Jersey, we welcome the opportunity to support relocation for exceptional providers looking to make this region their home; Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity
Munich, Germany
География найма не уточнена
ГибридNew York, New York
УдалённоseniorRemote - United States
УдалённоseniorГеография найма не уточнена
San Francisco, CA | New York City, NY | Seattle, WA
Автоотклики