Summary

GiveWell is seeking a Senior Water Researcher to help direct tens of millions of dollars annually to the most cost-effective water 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 water grantmaking has historically focused on improving drinking water quality through chlorination — primarily chlorine dispensers and in-line chlorination — in low- and middle-income countries with a high burden of waterborne disease. In 2025, we ran a public Request for Information (RFI) that resulted in 18 pilot grants to 12 implementing partners across six African countries, totaling roughly $20 million. In 2026, we are beginning to pivot from a narrow focus on chlorination toward a broader exploration of the water sector. This includes investigating alternative water quality interventions (e.g., filtration, in-line ultraviolet disinfection, chemical contamination remediation), different clean water delivery models (e.g. diarrheal outbreak prevention and response, safe water enterprises), exploring water access and infrastructure layering with multilaterals such as the World Bank, market shaping for chlorine supply chains and measurement technology, and R&D for hardware and better service delivery models.

As a Senior Water 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 water. 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 water 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:

• How should we calibrate our cost-effectiveness estimates to real-world program performance? 
• How does chlorination compare with alternative water quality methods — such as filtration, in-line UV, and chemical contamination remediation — across different settings? Where, if anywhere, are these alternatives more cost-effective?
• Can GiveWell unlock large amounts of cost-effective room for more funding by partnering with multilaterals (e.g. the World Bank) to layer water treatment onto large-scale piped water infrastructure projects? What are the practical and political constraints?
• To what extent should our portfolio shift between water quality (our current focus) and water access? Are there access-related grantmaking opportunities — for example, supporting direct delivery of clean water, water kiosks, or boreholes paired with treatment — that meet our cost-effectiveness bar?
• How do we improve our estimate of the all-cause mortality effect of chlorination on children under-5? 
• How should we use new funding mechanisms — such as regranting, prizes, and a possible Water Incubator with implementing partners — to identify and scale promising interventions?

The Senior Water 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 over 60 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.

There are currently three people on our water team.

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 2022, we directed about $440 million with a research staff of less than 40 people.
• 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 Water Researcher to have

• A quantitatively oriented advanced degree (e.g., in epidemiology, environmental engineering, environmental health, public health, economics, or related fields).
• Substantial professional experience in the water sector or an adjacent field (broadly defined). This could include experience in water quality, WASH, water infrastructure, environmental health modeling, or in program implementation, evaluation, or funding. We're especially interested in candidates with hands-on familiarity with water systems, epidemiology, or both. We don't expect any single candidate to have deep expertise across all of the areas we're exploring (chlorination, filtration, in-line UV, water access, market shaping, R&D), and we're happy to consider strong researchers whose expertise sits in any subset of these.

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 water 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: $241,000.
• All other U.S. locations: $219,000.
• 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
• 403(b) retirement plan
• Location: GiveWell’s staff work primarily remotely within the U.S. and abroad. This position is eligible to work fully remotely. A successful candidate will need to commit to a work schedule that has some overlap with American working hours and the schedules of key coworkers.
• Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC; or London, UK. We'll cover relocation expenses for candidates who wish to move to any of our physical office locations.
• International work: We are happy to employ staff internationally on a case-by-case basis. 
• 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.
• Visa Sponsorship: If you want to work in the United States and need a work visa, we’ll do our best to sponsor it (and also cover up to 100% of relocation expenses on a case-by-case basis). Please note that government entities ultimately dictate our ability to sponsor visas.
• 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.
• If we settle on an application deadline, we’ll write it in bold here. If you’re on our website job posting and don’t see a deadline, there is no deadline. If you’re reading this on an external job board and don’t see a deadline, you should double-check on our website.
• You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions.

Summary

GiveWell is seeking a Senior Livelihoods Researcher to help us identify and fund the most cost-effective ways to improve living standards among the global poor. You will have an outsized influence on our funding decisions and help us improve lives on a global scale.

Our livelihoods team is organized around thematic verticals, which includes cash transfers, broader social protection programs, education programs, and support for small and medium sized businesses in low-income countries. Across the portfolio, we try to maximize the social return on our investment, which we measure as the increase in relative consumption per $. We value consumption gains more highly among poorer populations, which has meant most of our grantmaking to date has focused on programs which support deprived populations within low-income countries (mostly in sub-Saharan Africa). 

As a Senior Livelihoods Researcher, you’ll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell’s grantmaking decisions. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment.

We’re open to a wide variety of professional development pathways depending on your preferences and our needs.

The role

You will be joining a small grantmaking team to contribute to our ambitious research agenda on livelihoods. You’ll sift through the countless questions we could try to answer, and honing in on those that matter most. You’ll also communicate externally about your work and advise other researchers on the team.

You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell livelihoods team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. In the course of your work, you might approach questions like these:

• What effect do rural trailbridges have on the consumption of nearby communities? 
• What are long-run effects of unconditional cash transfers and ultra poor graduation programs on recipients?
• What would happen to prices and markets if we took cash transfer and ultra poor graduation programs to scale?
• How should GiveWell value interventions which try to reduce the variance of consumption (as opposed to increasing the average)?
• Several countries in sub-Saharan Africa have seen large scale-ups in donor-funded livelihoods programs over the last 30 years but very little movement in poverty headcount rates and median consumption per capita. Why?

Team structure

Our research department has over 60 people, and is currently organized into eight teams:

• Five of the teams (Water, Nutrition, Malaria, Vaccines, and Livelihoods) focus on specific areas of grantmaking.
• The New Areas team focuses on interventions in domains that are new to GiveWell.
• The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work.
• The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing.

Team values

We think our research team has unique qualities:

• We care deeply and centrally about finding and sharing truth. Truth-seeking is one of our core values. We post our mistakes and we prize our team members who keep our culture of free-flowing feedback strong.
• We are independent. We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs.
• We don’t waste time. Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions.
• Lean research team = huge personal impact. Our research team of just over 60 people directs hundreds of millions of dollars annually.
• We work well together. Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly.

About you

We expect the Senior Livelihoods Researcher to have

• A quantitatively oriented advanced degree (e.g., in economics, statistics, public policy or related fields)
• Substantial professional experience in the livelihoods landscape (broadly defined). This could include experience in academic research and/or in program implementation or funding.

We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality:

• GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact.
• You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny.
• You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s.
• You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels.
• You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks.
• You love a gnarly problem. You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned.
• You constantly assess whether you and the team are working on the most important things.

If you’re interested in working on GiveWell’s research team but don’t have livelihoods expertise, consider applying to our generalist Senior Researcher role.

The details

• Compensation: We set salaries using a location-based tier system. Our pay for this role:
• NYC or the San Francisco Bay Area: $241,000.
• All other U.S. locations: $219,000.
• International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage.
• Benefits: Our benefits include:
• Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
• Four weeks of paid time off per year
• 16 weeks of fully paid parental leave
• Ergonomic home workstations or coworking space memberships
• 403(b) retirement plan
• Location: GiveWell’s staff work primarily remotely within the U.S. and abroad. This position is eligible to work fully remotely. A successful candidate will need to commit to a work schedule that has some overlap with American working hours and the schedules of key coworkers.
• Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC; or London, UK. We'll cover relocation expenses for candidates who wish to move to any of our physical office locations.
• International work: We are happy to employ staff internationally on a case-by-case basis. 
• 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.
• Visa Sponsorship: If you want to work in the United States and need a work visa, we’ll do our best to sponsor it (and also cover up to 100% of relocation expenses on a case-by-case basis). Please note that government entities ultimately dictate our ability to sponsor visas.
• 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 note that our hiring process consists of the same work trials for the following roles: Senior Researcher, Researcher, and any of our specialized Senior Researcher roles. If, within the last year, you applied and were rejected for one of these roles, you should hold off on applying to the other roles, unless explicitly asked to do so by a member of our team. If you're interested in all of these roles, please just apply once and note in your application that you'd like to be considered for the other roles, too.
• After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our FAQs page!
• We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible.
• We have a strong preference for full-time applicants, but we sometimes consider applications for part-time work on a case-by-case basis.
• If we settle on an application deadline, we’ll write it in bold here. If you’re on our website job posting and don’t see a deadline, there is no deadline. If you’re reading this on an external job board and don’t see a deadline, you should double-check on our website.
• You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions.

As a Product Marketing Intern at Everlaw, you will play a pivotal role in shaping the future of our product portfolio by leading a strategic investigation into the AI legal tech market. You are a curious, analytical thinker who enjoys diving deep into complex industries, synthesizing technical information, and translating it into actionable business strategy. Your work will directly influence our "Right to Win" in a new market vertical, requiring you to balance high-level strategic research with daily tactical execution. You’ll bring a fresh perspective and a hunger to learn, helping us bridge the gap between product complexity and market-facing simplicity.

You will join the Product Marketing team, a cross-functional group of storytellers and strategists dedicated to bringing Everlaw’s cutting-edge legal technology to life. This role sits within a sub-team that focuses on exploring new frontiers for the Everlaw platform. Our team thrives on collaboration, data-driven decision-making, and a shared passion for helping legal professionals navigate the increasingly complex digital landscape.

Getting started

• We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals.
• We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.

In your role, you'll...

• Conduct a "Right to Win" market analysis to evaluate the AI legal tech market, including TAM/SAM sizing and regulatory trends.
• Perform deep-dive competitive audits against industry incumbents and AI-first disruptors to identify critical feature gaps.
• Develop a "Go/No-Go" recommendation deck and present your findings to C-level executives and the product and marketing leadership team.
• Curate a daily brief to keep the team informed on real-time news and trends in the industry. 
• Build a "Voice of the Customer" library by synthesizing insights from sales calls to help define our unique value propositions.
• Collaborate cross-functionally with Product, Engineering, and Sales to validate technical requirements and market feasibility.

About you

• You are currently pursuing a Bachelor’s degree in Marketing, Business Administration, or a related field.
• You are available for a 8-10 week full-time internship during the Summer 2026 cycle.
• You are a strong researcher with the ability to synthesize large amounts of data into clear, persuasive narratives.
• You are curious about the intersection of technology and law. 
• You are an excellent communicator, both in writing and in high-stakes presentation settings.
• You are proactive and comfortable working in an ambiguous, fast-paced "v1" environment.
• You are a collaborative teammate who values feedback and continuous learning.
• You have a basic understanding of, or a strong desire to learn about, B2B SaaS business models.
• You are authorized to work in the United States without restrictions. Please note that at this time, Everlaw is not sponsoring employment visas for this role.

Benefits

• Competitive Salary: This is a non-exempt role with an estimated hourly rate of $33.00 - $37.00/hr, depending on experience.
• Mentorship: Dedicated 1:1s with experienced PMM leaders and exposure to executive leadership.
• Work that Matters: Your project will directly impact the 2026 product roadmap and company strategy.
• Professional Development: Access to internal training sessions and a "learn-by-doing" approach to high-level product marketing.

Perks

• Oakland HQ: Work from our beautiful, vibrant office in downtown Oakland with a flexible, hybrid-friendly culture.
• Fully Stocked Kitchen: Enjoy catered lunches, a variety of snacks, and premium coffee to keep you fueled.
• Community & Culture: Engage with "Everlawyers" through various ERGs (Employee Resource Groups) and team-building events.
• Wellness Focus: Access to onsite amenities and programs designed to support your physical and mental well-being.

The Role 

We are seeking a talented individual within our Credit COO team, driving business management, PM onboarding, business analytics, and cross-functional initiatives. This role combines strategic planning, operational execution, and data-driven insights to optimize performance, enhance efficiency, and support growth across the business. This role reports into the COO of Credit.

What you’ll do

Business Management

• Act as a partner to the Credit COO & Credit Business, translating business and infrastructure initiatives into detailed plans.
• Develop and own the plan for these growth initiatives and PM builds.
• Identify, recommend and drive actions to enhance the Core business.

PM Onboarding & Lifecycle Management

• Coordinate pre-launch testing, market data, and trading integrations for newly on-boarded PMs.
• Lead onboarding of new PM teams, e.g. market-data entitlements, trading-system connectivity, and counterparty onboarding.

Business & Performance Analytics

• Help Design dashboards on KPIs and business metrics.
• Lead cost/benefit cases for data, analytics and technology spend; track realized savings and ROI.

Project Management

• Lead strategic, cross functional projects across operations, treasury, compliance, and technology—owning end to end delivery and change management, and ensuring these projects are appropriately prioritized in the overall book of work.
• Run high-priority, cross-desk projects and own end-to-end delivery.
• Coordinate with Legal / Treasury to support trading strategies.

Vendor & Data Management

• Own the vendor lifecycle for trading and analytics platforms (contract negotiation, SLA governance, ongoing performance reviews).
• Stay abreast of emerging data/analytics vendors in macro and fixed income and evaluate fit for the platform.

What you’ll bring
What you need:

• 5-7 years in business management / COO or product related role on the Buy-Side (hedge fund, asset manager) or sell-side fixed income business.
• NY Based
• Good Fixed Income or Credit product knowledge.
• Fluency with trading technologies: order & execution-management systems, market-data feeds.
• Advanced analytical toolkit—Excel / VBA a must; Python, SQL or PowerBI strongly preferred.
• Exceptional project-management, prioritization, and stakeholder-influencing skills; comfortable presenting to senior management.
• Highly organized, proactive and able to manage multiple deliverables in a fast-moving market environment.
• Impeccable integrity and discretion when handling sensitive trading and financial information.

Who we are  
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The base pay for this role is expected to be between $150,000.00 and $190,000.00. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

#LI-MM1

IMC Americas, Inc. has multiple openings for Trader (REQ#4461664101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Develop, maintain, and enhance mathematical models, strategies, and trading system components for quantitative proprietary trading in collaboration with developers (10%).
• Independently design and implement changes to trading models, strategies, and systems from end-to-end, including conceiving of proposed changes, creating a testing plan, and performing tests, and implementing changes (15%).
• Analyze, interpret, and model financial, economic, and industry data to optimize trading and maximize revenue generation using existing internal tools (15%).
• Create custom analysis tools for use at the firm to perform research beyond available analysis tools (5%).
• Prepare and present high-quality financial analysis and reports following IMC global guidelines (15%).
• Perform daily operational tasks on the trading desk, ensuring systems are running correctly and escalating as needed to designated contacts (15%).
• Supervise and mentor graduate traders and interns (10%).
• Train graduate traders through the firm's traineeship (5%).
• Contributing to planning and prioritization decisions of future projects on their trading desk (5%).
• Monitoring and managing a trading firm's risk exposure (5%).

Partial telecommuting permitted. Multiple positions available. Requisition Number: 4461664101

Your Skills and Experience

This position requires a Bachelor's degree, or foreign equivalent, in Mathematics, Econometrics, Computer Science, Financial Engineering, Physics, or similarly quantitative and mathematical field and one (1) year of experience in the job offered or a related position.

Must have experience in the following skills:

• Developing, maintaining, and enhancing mathematical models, strategies, and trading system components for quantitative proprietary trading in collaboration with developers;
• Operating trading strategies through a range of market circumstances, having a thorough understanding of risk at any point in time;
• Rolling out and verifying new features on trading strategies;
• Managing a trading firm's risk exposure;
• Using Python and python coding libraries, including Pandas, NumPy, and SciPy to assist in quantitative analysis; and
• Experience trading products and navigating compliance regulations in trading markets. 

Requires FINRA Certifications: (1) SIE and (2) Series 57.

#LI-DNI

ABOUT BEZOS ACADEMY

At Bezos Academy, we believe all children deserve the great start that excellent early education provides, including in under-resourced communities. Our mission is to nurture the potential in every child to become a creative leader, original thinker, and lifelong learner by inventing the solutions needed to scale early childhood education. We are a unique organization that realizes our mission in two distinct ways. First, we operate a multi-state network of schools in under-resourced communities, offering quality Montessori preschool at no cost to families. Second, we invest in creating tools, products, technology, and other solutions designed to reach children well beyond the walls of our schools. We aspire to have a profound, large-scale impact on children ages zero to five.

DESCRIPTION

As the Senior User Experience Researcher (UXR) for a new direct‑to‑consumer initiative at Bezos Academy, you will play a defining role in how we understand parents, families, and early learners. Focusing on parent and caregiver-facing experiences, you will uncover how software and AI can meaningfully support them and early childhood development. You will help build a new venture from the ground up by leading and executing research that directly informs product strategy and feature priorities.

You will work closely with designers, product managers, and curriculum experts to conduct studies, synthesize insights, and create shared clarity across the team. From exploration to launch and iteration, your work will guide what we build, why we build it, and how it comes to life. Your research will help ensure we are giving parents thoughtful, guided support as they navigate the early years of parenthood, with product experiences grounded in how babies, toddlers, and parents learn during the most critical years of brain development. This is an opportunity to lead our user research practices and shape a product alongside a mission‑driven team committed to meaningful impact for families and young children. More than anything, we are looking for someone excited by the opportunity to shape products at the frontier of where technology, learning science, and family life intersect.  

LOCATION

• Seattle, WA
• This role is expected to work in-person with other product team members in our office in the Eastlake neighborhood of Seattle at least two days a week.
• Relocation support is available for those willing to relocate to Seattle, WA

COMPENSATION AND BENEFITS

• This is a full-time, benefits-eligible, salaried position.
• The full salary range for this position in Seattle, WA is $161,000 - $255,000 per year. The upper third of the salary range is typically reserved for employees who have been in the role for multiple years and have demonstrated strong performance over time. Starting salary will vary by qualifications and prior experience.
• This role includes 15 paid days of vacation, 4 days of paid personal time off, 9 paid days of sick (care) time, 9 paid holidays, 5 paid days off for an organization-wide winter break, and additional time off if required by applicable law. Benefits for this role include medical, dental, and vision insurance, life insurance, disability insurance, a 401(k) plan with a 4% employer contribution match, paid parental leave, an employer-matched flexible spending account for dependent care, and more. Please see here for details.

MINIMUM QUALIFICATIONS

• Bachelor’s degree or equivalent experience
• Eight or more years of experience, including experience conducting UX research across mobile (iOS/Android) and/or web experiences, with a focus on consumer products
• Proven track record of leading UX research that directly shapes product decisions in fast-moving, ambiguous environments, with strong judgment around prioritization, rigor, selection of methods, tradeoffs, and developing product recommendations in early-stage work
• Deep expertise in qualitative research (e.g., interviews, diary studies, concept testing, usability) with the ability to integrate quantitative insights as needed
• Familiarity with product counsel to ensure user research and new product development align with legal, regulatory, and compliance requirements
• Skill in influencing cross‑functional partners and leadership, with exceptional written and oral communication
• Experience collaborating closely with designers, product managers, and engineers throughout the design and development process, including early discovery, concept development, iteration and evaluation

PREFERRED QUALIFICATIONS

• Graduate degree in a relevant field
• Experience operating as the sole or lead UX researcher in an early‑stage environment, including helping establish or scale a research practice within a small or growing team
• Experience working with parents and/or studying children ages 0–6 through user research or related fields such as early childhood education, developmental psychology, neuroscience, etc.

Please click here for a full job description. 

Bezos Academy participates in E-Verify and will provide the federal government with employee Form I-9 Information to confirm authorization to work in the U.S. Bezos Academy only uses E-Verify once a candidate has accepted a job offer and completed the Form I-9. If E-Verify cannot confirm that an employee is authorized to work, Bezos Academy will give the employee written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so the employee can begin to resolve the issue before any adverse employment action is taken. For more information about your right to work, please see the Notice of Right to Work.

IonQ is seeking a Staff Researcher, Quantum Computing for Financial Applications and Algorithms to drive the development and strategy of quantum solutions for the financial sector. This senior technical leadership role will be pivotal in defining the roadmap for next-generation quantum finance and security architectures, leveraging IonQ's expertise in hardware and algorithmic innovation. The core focus is on bridging quantum theory, AI/ML, and quantitative finance at scale.

As the ideal candidate, you will own key research initiatives, mentor junior researchers, and directly collaborate with global financial institutions. A critical responsibility is translating complex domain challenges into viable quantum-enabled solutions. This role involves working closely with IonQ’s hardware, software, and research teams to accelerate the realization of quantum advantage in areas like financial modeling, optimization, and cryptography.

Responsibilities:

• Lead IonQ's R&D in quantum algorithms specifically for the finance sector, covering key areas such as portfolio optimization, risk modeling, derivatives pricing, fraud detection, and post-quantum security.
• Define and drive the quantum finance research strategy, establishing long-term technical directions that align with IonQ's overarching product roadmap and partnership objectives.
• Architect and validate quantum algorithmic frameworks suitable for both NISQ (Noisy Intermediate-Scale Quantum) and future fault-tolerant architectures. This includes integrating expertise in quantum information theory, circuit compilation, and error correction.

• Mentor and guide senior researchers and engineers, cultivating a high-impact, results-driven, and collaborative research environment.
• Collaborate cross-functionally with the Quantum Solutions, Product, and Business teams to successfully translate core research outcomes into deployable, real-world applications for enterprise clients.
• Engage strategically with leading financial institutions and regulatory bodies to facilitate the early adoption and shaping of quantum technologies in secure financial computing.
• Establish and nurture collaborations with top universities, national laboratories, and government organizations to significantly expand IonQ's external research ecosystem.
• Publish thought-leading research at premier conferences and in top-tier journals, establishing IonQ's reputation as a global authority in both quantum finance and quantum-secure architectures.
• Advise executive leadership on critical emerging trends in quantum computing, cryptographic security, and AI-driven financial technologies.
  
  

You’d be a good fit with: 

• Ph.D. in Physics, Applied Mathematics, Computer Science, Quantitative Finance, or related field.
• 8+ years of experience in algorithmic research, computational finance, or quantum information, with at least 3 years in a leadership or principal investigator role.
• Deep technical expertise in quantum computing, error correction, compiler optimization, and high-performance computing.
• Proven experience in quantum AI/ML and its applications in finance.
• Advanced understanding of financial modeling, stochastic calculus, risk analytics, and optimization techniques.
• Demonstrated record of publishing, patenting, or deploying cutting-edge quantum or hybrid classical-quantum solutions.
• Strong track record of leading cross-disciplinary teams and influencing technical direction at the organizational level.
• Excellent communication and collaboration skills with both technical and executive audiences.
  
  

You’d be a great fit with: 

• Knowledge in quantitative research
• Experience with use cases typical of banks and hedge funds

Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US.
Travel: Up to 20%
Job ID:  1220

The approximate base salary range for this position is $162,920 - $213,304. The total compensation package includes base, bonus, and equity.

Job Description

We are looking for a Staff Product Designer to join the design team at Tailscale. You will primarily partner with the Network Features team, which owns one of the most technically complex and strategically important surfaces in the product: how traffic finds its destination, how networks are segmented and connected, and how operators control that behavior at scale.

That spans a wide range. On the user-facing side, Admin users orchestrate their networks by configuring settings related to: subnet routing, exit nodes, App Connectors, Services, and DNS. On the infrastructure side, you’ll interface with topics like: traffic steering, high availability, DERP servers, and cloud networking primitives. These are not features with obvious consumer analogues. The users are network engineers, IT administrators, and developers building on top of Tailscale, and the problems they bring are genuinely hard to make simple.

At the staff level, scope is not handed to you. You will define where design attention is needed across this space, lead discovery on problems that don't yet have clear answers, and shape product direction alongside your engineering and PM partners. A significant part of that work is translation: taking abstract technical systems and surfacing the design problems hidden inside them clearly enough that engineers, PMs, and stakeholders can align on what to solve and why. Diagramming, system mapping, and other artifacts that make complexity legible are tools you reach for naturally, not as documentation but as a way of driving shared understanding and unblocking decisions. Your influence will extend beyond your immediate projects, affecting how the broader design team approaches craft, process, and product thinking.

You will report to the product design manager and work closely with a team of five product designers and one design researcher. Most of your time will be spent embedded with the Network Features team, with some involvement in wider design team or product initiatives.

People who do well here are genuinely curious about networking and security, comfortable going deep on technically complex domains, and fluent working asynchronously with highly technical teammates.

Key Responsibilities

• Define where design attention is needed across the network features product space and lead discovery on complex, ambiguous problems that often span multiple features or product areas.
• Translate abstract technical systems into clear problem frames, using diagramming, system mapping, and design artifacts to build shared understanding and drive alignment across engineering, product, and other stakeholders,
• Deliver design solutions end-to-end as needed, whether that means changes to a GUI, a CLI experience, or both, working closely with engineers through implementation and QA.
• Explore forward-looking design questions in spaces that do not yet have clear owners or established answers.
• Partner closely with engineering and PM counterparts to move from ambiguous problem statements to clear, well-reasoned solutions.
• Raise the bar for craft and quality across your team and contribute to how the broader design organization approaches process and product thinking.
• Translate insights from user research, behavioral data, and your own product knowledge into design direction.
• Bring AI tools into your workflow in practical ways, whether for research synthesis, rapid prototyping, or solution exploration, and develop a point of view on where AI-assisted experiences belong in technically complex products.

What We Are Looking For

• 10+ years of product design experience, with meaningful time operating at the staff level or equivalent scope
• Strong portfolio demonstrating experience with technically sophisticated B2B or infrastructure products, and a track record of leading discovery on problems without waiting for scope to be defined
• A developed point of view on users and product direction, with evidence of using that perspective to influence roadmap and strategy across engineering and product teams
• Genuine interest in the networking and security space and comfort engaging with technically complex subject matter
• Strong written communication and an ability to articulate design decisions clearly to both technical and non-technical partners
• Ease working in a distributed, asynchronous environment with highly technical teammates

Nice to Have

• Hands-on experience with Tailscale, or working familiarity with networking concepts such as DNS, VPNs, proxies, or traffic routing
• Hands-on experience with cloud native deployment infrastructure (AWS, GCP, DigitalOcean, etc)
• Experience designing for developer or IT administrator audiences
• Data-informed design practice including behavioral analytics or experimentation
• Fluency with AI tools as part of your design workflow and curiosity about where AI-assisted experiences fit in technical products

As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set.

Job Description

We are looking for a Staff Product Designer to join the design team at Tailscale. You will primarily partner with the Network Features team, which owns one of the most technically complex and strategically important surfaces in the product: how traffic finds its destination, how networks are segmented and connected, and how operators control that behavior at scale.

That spans a wide range. On the user-facing side, Admin users orchestrate their networks by configuring settings related to: subnet routing, exit nodes, App Connectors, Services, and DNS. On the infrastructure side, you’ll interface with topics like: traffic steering, high availability, DERP servers, and cloud networking primitives. These are not features with obvious consumer analogues. The users are network engineers, IT administrators, and developers building on top of Tailscale, and the problems they bring are genuinely hard to make simple.

At the staff level, scope is not handed to you. You will define where design attention is needed across this space, lead discovery on problems that don't yet have clear answers, and shape product direction alongside your engineering and PM partners. A significant part of that work is translation: taking abstract technical systems and surfacing the design problems hidden inside them clearly enough that engineers, PMs, and stakeholders can align on what to solve and why. Diagramming, system mapping, and other artifacts that make complexity legible are tools you reach for naturally, not as documentation but as a way of driving shared understanding and unblocking decisions. Your influence will extend beyond your immediate projects, affecting how the broader design team approaches craft, process, and product thinking.

You will report to the product design manager and work closely with a team of five product designers and one design researcher. Most of your time will be spent embedded with the Network Features team, with some involvement in wider design team or product initiatives.

People who do well here are genuinely curious about networking and security, comfortable going deep on technically complex domains, and fluent working asynchronously with highly technical teammates.

Key Responsibilities

• Define where design attention is needed across the network features product space and lead discovery on complex, ambiguous problems that often span multiple features or product areas.
• Translate abstract technical systems into clear problem frames, using diagramming, system mapping, and design artifacts to build shared understanding and drive alignment across engineering, product, and other stakeholders,
• Deliver design solutions end-to-end as needed, whether that means changes to a GUI, a CLI experience, or both, working closely with engineers through implementation and QA.
• Explore forward-looking design questions in spaces that do not yet have clear owners or established answers.
• Partner closely with engineering and PM counterparts to move from ambiguous problem statements to clear, well-reasoned solutions.
• Raise the bar for craft and quality across your team and contribute to how the broader design organization approaches process and product thinking.
• Translate insights from user research, behavioral data, and your own product knowledge into design direction.
• Bring AI tools into your workflow in practical ways, whether for research synthesis, rapid prototyping, or solution exploration, and develop a point of view on where AI-assisted experiences belong in technically complex products.

What We Are Looking For

• 10+ years of product design experience, with meaningful time operating at the staff level or equivalent scope
• Strong portfolio demonstrating experience with technically sophisticated B2B or infrastructure products, and a track record of leading discovery on problems without waiting for scope to be defined
• A developed point of view on users and product direction, with evidence of using that perspective to influence roadmap and strategy across engineering and product teams
• Genuine interest in the networking and security space and comfort engaging with technically complex subject matter
• Strong written communication and an ability to articulate design decisions clearly to both technical and non-technical partners
• Ease working in a distributed, asynchronous environment with highly technical teammates

Nice to Have

• Hands-on experience with Tailscale, or working familiarity with networking concepts such as DNS, VPNs, proxies, or traffic routing
• Hands-on experience with cloud native deployment infrastructure (AWS, GCP, DigitalOcean, etc)
• Experience designing for developer or IT administrator audiences
• Data-informed design practice including behavioral analytics or experimentation
• Fluency with AI tools as part of your design workflow and curiosity about where AI-assisted experiences fit in technical products

As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set.

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

What You'll Do

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis.
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Who Should Apply

• Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program. 
• Certifications: Bar admission in any jurisdiction strongly preferred.
• Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor. 
• Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs.
• Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.

Why Join the HFC?

• Advance Legal AI Solutions: Apply your legal expertise to address complex, real-world challenges where your judgment shapes advanced AI reasoning and supports critical legal decision-making.
• Professional Development: High-impact legal experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening legal analysis skills, and gaining practical experience with innovative AI tools for the legal field.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location. 

Application Process

1. Apply: We review applications on a rolling basis.
2. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise.
3. Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
4. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.

Your Core Responsibilities

• Collaborate with Traders to evaluate and enhance the performance of IMC’s existing proprietary trading models using advanced mathematical and analytical methods.
• Design quantitative methods to gather and analyze historical market data, trading statistics or new data sources and use the result of that research as the basis for new trading strategies.
• Translate trading strategies into mathematical models, algorithms, and other complex computational programs to realize the combined vision of the trading team.
• Build custom computational data analysis tools to explore new quantitative research ideas; design mathematical models to test, visualize and refine trading ideas before implementation.
• Apply rigorous analytical and quantitative techniques to solve complex problems presented by new and existing proprietary trading strategies.
• Coordinate with developers to implement new and improved quantitative trading models and launch them into production on IMC’s proprietary trading platform.
• Conduct all quantitative trading research, development, and implementations according to internal best practices to keep IMC’s trading ecosystem logical and consistent.

Partial telecommuting permitted. Multiple positions available. Requisition Number: 4453348101

Your Skills and Experience

This position requires a Masters degree, or foreign equivalent, in finance, financial mathematics, financial engineering, computational mathematics or similarly quantitative and mathematical field and six (6) months of experience in the job offered or a quantitative and mathematical role or a related position.

Must have demonstrated experience in each of the following skill(s): 

• Application of analytical and quantitative techniques to solve complex problems
• Design and implementation of mathematical models and algorithms;
• Development and use of computational data analysis tools for research
• Statistical programming techniques and best practices;
• Financial theory, financial mathematics, or financial engineering.

Skills can be gained concurrently or as part of education curriculum, co-op, or internship.

#LI-DNI

Your Core Responsibilities

• Collaborate with Traders to evaluate and enhance the performance of IMC’s existing proprietary trading models using advanced mathematical and analytical methods.
• Design quantitative methods to gather and analyze historical market data, trading statistics or new data sources and use the result of that research as the basis for new trading strategies.
• Translate trading strategies into mathematical models, algorithms, and other complex computational programs to realize the combined vision of the trading team.
• Build custom computational data analysis tools to explore new quantitative research ideas; design mathematical models to test, visualize and refine trading ideas before implementation.
• Apply rigorous analytical and quantitative techniques to solve complex problems presented by new and existing proprietary trading strategies.
• Coordinate with developers to implement new and improved quantitative trading models and launch them into production on IMC’s proprietary trading platform
• Conduct all quantitative trading research, development, and implementations according to internal best practices to keep IMC’s trading ecosystem logical and consistent.

Partial telecommuting permitted. Multiple positions available.

Quantitative Researcher (Requisition ID: 4453347101)

Your Skills and Experience

This position requires a PhD, or foreign equivalent, in Finance, Financial Mathematics, Financial Engineering, Statistics, Computational Mathematics or similarly quantitative and mathematical field.

Must have demonstrated experience in each of the following skill(s):

• Application of analytical and quantitative techniques to solve complex problems;
• Designing and implementing mathematical models and algorithms, including linear modeling, convex optimization, and numerical methods for large-scale data and parameter estimation;
• Developing and using computational data analysis tools for research;
• Statistical programming techniques (including Python or C++) and designing and executing independent quantitative research projects, including formulation of hypotheses, development of models, empirical testing, and clear documentation of results;
• Time series analysis, applied statistics, and theoretical mathematics (such as probability, measure theory/real analysis, and linear algebra);
• Implementing algorithms, conducting data analysis, and building research pipelines using numerical and scientific computing libraries (such as NumPy, pandas, SciPy) and version control (such as Git);
• Experience with time series modeling and forecasting, including stochastic processes and state-space or related frameworks, such as applied to real-world data; and
• Conducting literature reviews and replicating and extending prior work with methodological rigor and reproducibility.

#LI-DNI

• 💰 Competitive Compensation. For this role our salary is targeted at $144,000 -$160,000 per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. 
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave. 
• Paid parental leave
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future
• Fully remote model - #LI-Remote 

The interview overview

Below you'll find an outline of the interview plan for our Market Intelligence & Positioning Specialist, Product Storytelling position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

• 30 min interview with a member of our Talent Team
• 45 minute zoom interview with the Hiring Manager
• Three video interviews with several team members - 2.5 hours

AIR’s Employment & Economic Opportunity Program is seeking a Quantitative Researcher to work on research projects to improve education, training, and workforce opportunities for youth and adults. This position will support a portfolio of federally, state, and philanthropically funded research and evaluation projects focused on education, workforce development, and economic opportunity, including large‑scale studies, evaluations, and analytic initiatives serving federal agencies, states, and national partners. 

The Researcher will play a key role in the design, execution, data analysis, and dissemination of rigorous applied research. The role is well‑suited for a collaborative researcher who combines strong analytic skills with the ability to translate complex findings into clear, actionable products for diverse audiences.

This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s U.S. office locations. This does not include U.S. territories. 

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

The role

You will be joining a small grantmaking team to contribute to our ambitious research agenda on malaria. You’ll sift through the countless questions we could try to answer, and honing in on those that matter most. You’ll also communicate externally about your work and 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 malaria team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. In the course of your work, you might approach questions like these:

• How should GiveWell’s portfolio of investments change in response to new technologies and shifts in government or funder priorities?
• How does expanding the use of newly-developed insecticides in nets affect cost-effectiveness? 
• What is the potential cost-effectiveness of novel interventions such as attractive toxic sugar baits at scale across contexts? 

Team structure

Our research department has over 60 people, and is currently organized into seven teams:

• Five of the teams (Water, Livelihoods, Nutrition, Malaria, and Vaccines) focus on specific areas of grantmaking.
• The New Areas team focuses on interventions in domains that are new to GiveWell.
• The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work.
• The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing.

Our malaria team has three subteams: two of them focus on grantmaking in vector control and chemoprevention, respectively, and the third is focused on cross-team research questions. You might sit on any of the three teams.

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 2022, we directed about $440 million with a research staff of less than 40 people.
• 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 Malaria Researcher to have

• A quantitatively oriented advanced degree (e.g., in epidemiology, statistics, economics or related fields)
• Substantial professional experience in the malaria landscape (broadly defined). This could include experience in epidemiological or health economics modeling, and/or in program implementation or funding.

We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality:

• GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact.
• You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny.
• You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s.
• You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels.
• You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks.
• You love a gnarly problem. You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned.
• You constantly assess whether you and the team are working on the most important things.

If you’re interested in working on GiveWell’s research team but don’t have malaria expertise, consider applying to our generalist Senior Researcher role.

The details

• Compensation: We set salaries using a location-based tier system. Our pay for this role:
• NYC or the San Francisco Bay Area: $241,000.
• All other U.S. locations: $219,000.
• International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage.
• Benefits: Our benefits include:
• Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
• Four weeks of paid time off per year
• 16 weeks of fully paid parental leave
• Ergonomic home workstations or coworking space memberships
• 403(b) retirement plan
• Location: GiveWell’s staff work primarily remotely within the U.S. and abroad. This position is eligible to work fully remotely. A successful candidate will need to commit to a work schedule that has some overlap with American working hours and the schedules of key coworkers.
• Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC; or London, UK. We'll cover relocation expenses for candidates who wish to move to any of our physical office locations.
• International work: We are happy to employ staff internationally on a case-by-case basis. 
• 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.
• Visa Sponsorship: If you want to work in the United States and need a work visa, we’ll do our best to sponsor it (and also cover up to 100% of relocation expenses on a case-by-case basis). Please note that government entities ultimately dictate our ability to sponsor visas.
• 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:

• 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.
• If we settle on an application deadline, we’ll write it in bold here. If you’re on our website job posting and don’t see a deadline, there is no deadline. If you’re reading this on an external job board and don’t see a deadline, you should double-check on our website.
• You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions.

The role

Our research team is seeking Project Managers who will provide critical support to the team to maximize the impact of a program portfolio of life-saving and poverty-alleviating programs. This is primarily a project management role, providing key support to GiveWell researchers during their research and grant investigations.

Responsibilities include:

• Project management of research and grantmaking plans. Project Managers are project management experts who manage the execution of research and grantmaking workflows.Project Managers make sure that a high volume of complex projects stay on track, our systems and tools are maintained and improved, and timelines are met. They bring excellent judgment for when to follow established processes and when to adapt them to their work. This could include:
• Keeping team trackers up to date and understanding how projects fit into broader team goals.
• Managing project timelines and deadlines, flagging risks and adjusting timelines as needed based on competing team priorities.
• Creating investigation templates and other tools to aid the research team in following consistent, high standards.
• Effective communication and coordination with internal and external contacts. Project Managers must clearly and effectively communicate with project contributors, internal teams, and external stakeholders about the projects they are managing. They will regularly interact  with external stakeholders, including grantees, with progressively more autonomy in those interactions. Project Managers facilitate smooth information flow and collaboration, including ensuring all parties have the information needed to do their jobs well. This could include:
• Writing and sending messages to grantees and other external contacts to request information, explain our process, or request feedback.
• Generating call agendas and tracking and communicating clear follow-up steps.
• Communicating the status of research projects to internal teams and ensuring smooth handoffs on fundraising and funding logistics. 
• Noticing unusual situations and flagging them to stakeholders early.
• Maintaining high attention to detail and accuracy. Project Managers are expected to maintain high standards for all work outputs, from system maintenance to content production. They ensure precision and reliability in data, documents, and processes. This could include:
• Ensuring that public-facing documents clearly cite sources and include important information for communicating our research and decision making.
• Updating team trackers with the most current information, so that teams and leadership can make decisions based on accurate and up-to-date project details.
• Assigning and following up on outstanding tasks in a timely manner, so the status of projects and next steps are clear.
• Maintaining organized and complete project files, ensuring information is accessible and usable for the broader team.
• Proactive problem-solving. Project Managers actively identify inefficiencies, bottlenecks, and areas for improvement within operational processes and systems, and propose and implement effective solutions to enhance workflows and overall team effectiveness. This could include:
• Creatively helping teams plan and execute on their top priorities, and assisting in re-prioritizing when needed.
• Improving guidance, templates, and processes that would better suit the team’s needs.
• Handling straightforward issues independently, and flagging more complex challenges early to managers or other team members, offering options for how to address them.

About you

We are growing and changing quickly, so above all we seek a team player who is flexible, organized, and eager to proactively seek out ways to support the team so that we can do more work, better. 

In addition, we expect you will be characterized by many of the below qualities. Exceptions may be made for excellent applicants who do not meet these criteria:

• You have a bachelor's degree (or higher) and 2 to 5 years experience in project management or operational support. 
• You are skilled at planning and managing projects, including identifying and focusing on the most decision-relevant aspects of a project and communicating effectively with teammates. You are known for proactively moving work forward – anticipating what’s needed, raising risks early, and creating momentum for the team.
• You enjoy creating order out of disorder, especially when there are many overlapping pieces and stakeholders.
• You are obsessed with details and love checking things off of your list, and you’re energized rather than overwhelmed by knowing there will always be more to tackle.
• You consider the big picture, asking questions like: is this project appropriately formulated and the best use of my time? How might we allocate our time more efficiently? Do we have the capacity to complete our goals?
• You clearly communicate what you believe and why, as well as what you are uncertain about.
• You are comfortable working in a document-heavy culture, where careful writing, clear documentation, and well-maintained systems enable effective collaboration.
• You ask a lot of questions, and are curious, rather than defensive, when interrogating your own or others’ work.
• You are respectful, effective, and efficient in your interactions with colleagues as well as external parties.
• You are passionate about helping improve global health and alleviate global poverty as much as possible.

Why this role might not be a good fit:

This Project Manager role is primarily focused on project management and operational excellence. We want to be transparent about some situations where candidates may struggle or be unsatisfied:

• You view project management as a stepping stone. This is a project management role, not a pathway into research or other functions at GiveWell. If you're primarily interested in becoming a researcher or working in another capacity, this position likely isn't the right fit. We're looking for people who are genuinely energized by excellent project management and operational support and would like to grow within this function.
• You're attached to specific systems or methodologies. In addition to some of the usual project management systems, we also use a number of custom workflows tailored to our research needs. If you're deeply committed to implementing particular project management frameworks (like Agile, Scrum, or some other specific PM software) rather than adapting to what makes sense for the project at hand, you may find this frustrating. We need people who focus on operational goals first and can flexibly use, adapt, or improve processes as tools to get there.
• You prefer lower-volume work or dislike task switching. Project Managers juggle many concurrent projects with competing deadlines in a fast-paced environment. If you prefer focusing on one project at a time or like the feeling of having wrapped up a project and having “nothing on your list,” the intensity and volume of this role may not suit your working style.
• You dislike a document-heavy culture. GiveWell uses extensive written documentation, and Project Managers are expected to navigate and contribute to that culture. If you find it frustrating to read through detailed documents, extract the key information, and keep track of many written threads at once, this role may feel overwhelming. Success here requires comfort with written communication and the ability to manage a large volume of documentation.
• You have significantly more experience than we're seeking. This role is designed for people with 2-5 years of relevant experience. If you have substantially more experience (e.g., 7+ years in project management or operations) or advanced credentials like a PhD, you may find the role's level and scope don't match your career stage. We want to ensure the position offers appropriate growth and challenge, and candidates with significantly more experience often find it doesn't meet those needs.

Details

• Compensation:
  • NYC or the San Francisco Bay Area: $113,000
  • All other U.S. locations: $102,500
  • UK or Canada: We'll convert the non-New York/Bay Area U.S. salary into local currency using historical USD exchange rates.
• Location: GiveWell’s staff work primarily remotely within the U.S. and abroad.
  • Offices: You are welcome but not required to work from our offices in Oakland, California, Brooklyn, NYC, or London, UK.
  • International applicants: For this role, we can currently only hire team members based in the UK, Canada, or the United States who have prior work authorization. We cannot support visas for this role at this time.  
  • 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.
• 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
  • Four months of fully paid parental leave
  • Ergonomic home workstations or coworking space memberships
  • 403(b) retirement plan
• Travel: Research team members are sometimes required to attend international site visits and conferences; on average 1-2 per year, with additional travel (including internationally) 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 plan to work with staff who have family or other obligations.
• Visa sponsorship: We are not currently able to sponsor visas for this role.
• Start date: We’d like a candidate to start as soon as possible after receiving an offer.

Hiring Process

After the initial application, our application process uses a mixture of interviews and work trials, the first of which is anonymized before grading. 

The work trials in our process allow us to better understand how applicants’ skills will translate to the work we do and allows you to learn more about our work. They also reduce bias in our hiring process — we’re better able to hire candidates with nontraditional backgrounds who nonetheless excel in our trials.

Our typical interview process for this role includes the following stages, though we may adjust based on the specific needs of the search:

• Initial application: Our application asks for basic information about you and why you are applying, as well as a number of questions designed to help us assess your fit for the role. We request that you include a resumé. We do not plan to review other materials, like cover letters or letters of recommendation, so we encourage you not to submit these.
• Spreadsheet take-home assignment: You'll complete a capacity-planning exercise similar to the work Project Managerss do when helping teams organize projects and timelines. This should take no more than 90 minutes.
• Initial interview: If you move forward, we’ll invite you to a 25-minute call with someone from our recruiting team to talk through your thought process on the spreadsheet assignment and dig into any questions they have about your background.
• Work history interview: You will have an interview with 1-2 people from our hiring team. In one, you’ll meet with the two hiring managers for this role to talk about your own work experience and you’ll get a chance to ask any questions you have.
• Coordinating an RFP work trial: This will be a set of live role-playing meetings with our hiring team, accompanied by about 30 minutes of at-home preparation and 80 minutes of post-meeting work. This exercise should take approximately 2.5 hours total and you will be compensated at a flat rate of $115.
• Values interview: In the final interview, you’ll meet with someone from our research team and discuss your own and GiveWell’s values.
• Reference checks: The final step in our process is to request and contact two references. If possible, we prefer for at least one reference to be a former or current manager.

You will receive communication about whether you are advancing after each stage of the process. We strive to respond to applications within two weeks across all stages of the process; however, we expect a large volume of applications for this particular position and may not be able to achieve our desired response times. Let us know if you have specific circumstances (e.g., a competing offer or tighter timeline) that could impact timing. 

Please note that this role was previously titled "Program Associate." The position itself remains unchanged — we updated the title to "Project Manager" to better reflect the nature of the work.

If you have questions about the process before you begin, feel free to reach out to us at careers@givewell.org.

Summary

GiveWell is seeking exceptional Researchers to help direct hundreds of millions of dollars annually to the most cost-effective global health and poverty alleviation programs. You’ll have an outsized influence on our funding decisions and help us save and improve lives on a global scale.

You’ll execute ambitious research agendas, answer complex questions, and inform high-impact grantmaking decisions by combining rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment.

Researchers will have the opportunity to develop into Senior Researcher or Senior Program Officer roles, leading research agendas or owning complex grantmaking portfolios. We’re open to a wide variety of professional development options depending on your preferences and our needs.

The role

You’ll join a small grantmaking team to execute ambitious research agendas, sifting through the countless questions we could try to answer and honing in on those that matter most. Your decisions will inform the allocation of hundreds of millions of dollars to dozens of grantees.

Your practical work will combine empirical evidence review, cost-effectiveness modeling, discussions with subject matter experts, and developing your own judgment. In the course of your work, you might approach questions like these:

• What should we believe about the impacts of improved water quality on all-cause mortality?
• What is the impact of building footbridges in rural communities?
• How can we model the general equilibrium effects of cash transfers?
• How should we prioritize programs that reduce poverty relative to programs that reduce deaths?
• How should we think about the opportunity cost of other actors’ contributions to programs we fund?
• How should we account for high levels of uncertainty in our cost-effectiveness estimates?
• How do we use effects from trials conducted 30 to 40 years ago to predict impacts today?

Responsibilities include:

• Analyzing interventions (e.g., vaccine demand generation, vitamin A supplementation, seasonal malaria chemoprevention) at various levels of depth to refine our view about the cost-effectiveness of a particular intervention and recommend either deprioritization or further work. Researchers review existing empirical evidence about intervention impacts, build models, speak with subject matter experts about particular interventions, and use their judgment to come up with a bottom line. Examples of this work are available on our intervention reports page.
• Building cost-effectiveness models to estimate the costs and benefits of a particular intervention. These models take into account a wide variety of considerations, including: one's prior estimate for an intervention's impact, the strength of the evidence, the size of the effects, the similarity between the context in which an intervention was studied and will be implemented, negative and/or offsetting effects, and how funding this intervention would affect decisions by other actors (e.g., local government, donor governments). See more on our page about our cost-effectiveness models.
• Reviewing specific grantmaking opportunities. We receive and solicit requests for funding on an ongoing basis. Researchers investigate each of these opportunities to determine whether or not they should receive funding. Reviewers discuss each grant opportunity with the applying organization, consider its plans and assess the likelihood it will achieve them, estimate the cost-effectiveness of a grant and forecast its likelihood of success. When necessary, they solicit feedback from outside experts (e.g., academics, government officials) about the opportunity.
• Tackle thorny research questions with creative approaches. We often need to answer questions that don’t have clear answers in published academic journals or other data sources (see some examples above), but which nevertheless matter significantly to our bottom-line funding decisions. You’ll come up with creative approaches to answer these questions, and your work will often influence the funding decisions of many of GiveWell’s research subteams.
• Building relationships with experts relevant to our work, for example, academics who specialize in interventions we are reviewing (e.g., malaria, malnutrition treatment, in-line water chlorination), leaders and program staff at organizations we are considering for funding, and program staff at foundations who are also evaluating where to allocate funds.
• Publishing reports and blog posts on our website. Transparency is a core value of ours and we aim to publish as much supporting information regarding our conclusions as we can. Researchers write up our findings and reasoning for publication on our website or summarize key points from their work in blog posts.

What is career development like?

After gaining experience on the team, Researchers have the opportunity to develop into Senior Researchers, who lead the development of our research agendas. Senior Researchers may then pursue a few pathways for career development based on their preferences and GiveWell’s needs. Some choose to develop wider and more autonomous research agendas as individual contributors, while others take on people management responsibilities. Another potential pathway is to transition into a Program Officer or Senior Program Officer position, in which you’d own a high-impact, cost-effective grantmaking portfolios by deepening your expertise, growing your networks, and understanding the broader context within a specific grantmaking area. Senior Program Officers think through questions like:

• How should we balance exploring and seeding new, smaller opportunities with funding cost-effective opportunities at scale today?
• How can we triangulate empirical evidence against expert opinion on other qualitative features, like organizational track record?
• What is research we can fund today that could substantially impact our grantmaking five years from now?
• How much uncertainty are we willing to accept before making a grant? What key research questions do we need to answer before making a grant, and which ones can we deprioritize or answer later?

Team structure

Our research department has ~60 people, and is currently organized into eight teams:

• Five of the teams (Water, Livelihoods, Nutrition, Malaria, and Vaccines) focus on specific areas of grantmaking.
• The New Areas team focuses on interventions in domains that are new to GiveWell.
• The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work.
• The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing.

In most cases, we hire Researchers without knowing which subteam they’ll eventually sit on. We aim to expose new researchers to different types of work and parts of the team over several months to inform their eventual subteam placement. (We might settle on a subteam more quickly if new hires bring specific, specialized expertise.)

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. Our ~60-person team directs hundreds of millions of dollars annually.
• 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.

Details

• Team: You'll join one of our grantmaking teams (see our org structure here) and report to a Senior Researcher or Senior Program Officer.
• Compensation:
• NYC or the San Francisco Bay Area: $184,500
• All other U.S. locations: $167,500
• International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency.
• Location: GiveWell’s staff work primarily remotely within the U.S. and abroad. This position is eligible to work fully remotely.
• Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC; or London, UK. We'll cover relocation expenses for candidates who wish to move to any of our physical office locations.
• International work: We are happy to employ staff internationally on a case-by-case basis. A successful candidate will need to commit to a work schedule that has some overlap with American working hours and the schedules of key coworkers.
• 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.
• Visa Sponsorship: If you want to work in the United States and need a work visa, we’ll do our best to sponsor it (and also cover up to 100% of relocation expenses on a case-by-case basis). Please note that government entities ultimately dictate our ability to sponsor visas.
• Benefits: Our benefits include:
• Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
• Four weeks of paid time off per year
• 16 weeks of fully paid parental leave
• Ergonomic home workstations or coworking space memberships
• 403(b) retirement plan
• 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.
• Application deadline: We don't currently have an application deadline. If that changes, we'll update the posting. We're reviewing applications on a rolling basis, so we recommend applying as soon as possible.

About you

Our typical hire for this role has a master's degree in a quantitative field (e.g., economics, policy, public health) with a few years of relevant experience, or a PhD in a quantitative field with limited post-graduation experience. We're willing to make exceptions for applicants who don't have advanced degrees but demonstrate equivalent depth of expertise.

We expect you will be characterized by many of the below qualities. We encourage you to apply if you would use the majority of these characteristics to describe yourself:

• You are passionate about helping improve global health and alleviate global poverty as much as possible.
• You are highly skilled at critically analyzing and synthesizing empirical research and understanding how a body of evidence may apply to real-world problems.
• You are able to plan an efficient approach to exploring complicated questions, including identifying and focusing on the most decision-relevant aspects of a project.
• You consider the big picture, asking questions like: is this project appropriately formulated and the best use of my time? What is GiveWell getting wrong in our research?
• You clearly communicate what you believe and why, as well as what you are uncertain about.
• You ask a lot of questions, and are curious, rather than defensive, when interrogating your own or others’ work.
• You are able to execute research that holds up under scrutiny from others and over time.
• You are respectful, effective, and efficient in your interactions with colleagues as well as external parties.

Other notes

• Please note that our hiring process consists of the same work trials for the following roles: Senior Researcher, Senior Malaria Researcher, and Researcher. If, within the last year, you applied and were rejected for one of these roles, you should hold off on applying to the other roles, unless explicitly asked to do so by a member of our team. If you're interested in all of these roles, please just apply once and note in your application that you'd like to be considered for the other roles, too.
• Please note that this role was previously titled "Senior Research Associate." The position itself remains unchanged.
• After application review, our hiring process consists of a short application exercise, two compensated work trials, and several short interviews. You can see more details about our hiring process on our FAQs page!
• You don't need to submit a cover letter with your application—we only want your resume/CV and answers to the application questions below.
• We don’t offer informational calls at this stage, but please email us at careers@givewell.org with any questions not answered here!

Summary

GiveWell is seeking exceptional Senior Researchers to help us direct hundreds of millions of dollars annually to the most cost-effective global health and poverty alleviation programs. As part of our lean research team, you will have an outsized influence on our funding decisions and help us save and improve lives on a global scale.

You’ll create and lead ambitious research agendas, answer complex questions, and inform high-impact grantmaking decisions by combining rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment.

Some Senior Researchers may eventually choose to transition into an equivalently-leveled Senior Program Officer role to lead a large grantmaking portfolio, while others choose to stay focused on leading significant research agendas. We’re open to a wide variety of internal development options depending on your preferences and our needs.

The role

Senior Researchers are the intellectual leaders of GiveWell’s work. In this role, you’ll join a small senior team in setting ambitious research agendas, sifting through the countless questions we could try to answer and honing in on those that matter most. Your decisions will inform the allocation of hundreds of millions of dollars to dozens of grantees. You’ll also communicate externally about our work and mentor and advise other members of the team.

You will shape a research agenda that brings rigor and creativity to the thorniest questions GiveWell faces. You’ll execute that agenda by combining thorough review of empirical evidence, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. In the course of your work, you might approach questions like these:

• What should we believe about the impacts of improved water quality on all-cause mortality?
• What is the impact of building footbridges in rural communities?
• How can we model the general equilibrium effects of cash transfers?
• How should we prioritize programs that reduce poverty relative to programs that reduce deaths?
• How should we think about the opportunity cost of other actors’ contributions to programs we fund?
• How should we account for high levels of uncertainty in our cost-effectiveness estimates?
• How do we use effects from trials conducted 30 to 40 years ago to predict impacts today?

After gaining experience on the team, Senior Researchers pursue a few pathways for career development based on their preferences and GiveWell’s needs. Some choose to develop wider and more autonomous research agendas as individual contributors, while others take on people management responsibilities. Another potential pathway is to transition into a Senior Program Officer role, which is a lateral move—we don’t conceptualize the Senior Researcher role as a training ground for program work. All of GiveWell's Senior Program Officers are also researchers with strong technical training and a penchant for sketching out a model when they’re not sure how to approach a problem.

Senior Program Officers typically own high-impact, cost-effective grantmaking portfolios by deepening their expertise, growing their networks, and understanding the broader context within a specific grantmaking area. They think through questions like:

• How should we balance exploring and seeding new, smaller opportunities with funding cost-effective opportunities at scale today?
• How can we triangulate empirical evidence against expert opinion on other qualitative features, like organizational track record?
• What is research we can fund today that could substantially impact our grantmaking five years from now?
• How much uncertainty are we willing to accept before making a grant? What key research questions do we need to answer before making a grant, and which ones can we deprioritize or answer later?

Team structure

Our research department has over 60 people, and is currently organized into eight teams:

• Five of the teams (Water, Livelihoods, Nutrition, Malaria, and Vaccines) focus on specific areas of grantmaking.
• The New Areas team focuses on interventions in domains that are new to GiveWell.
• The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work.
• The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing.

In most cases, we hire Senior Researchers without knowing which subteam they’ll eventually sit on. We aim to expose our new senior team members to different types of work and parts of the team over several months to inform their eventual subteam placement. (If you bring specific, specialized expertise, consider applying to one of our specialized Senior Researcher positions). 

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. Our research team of just over 60 people directs hundreds of millions of dollars annually.
• 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

Senior Researchers must have quantitatively-oriented advanced degrees and substantial relevant experience using empirical tools to make rigorous, evidence-based decisions in the real world. Practically, our senior research staff typically has 5-10 years of post-grad work experience prior to joining GiveWell. We're happy to consider applicants who do not have advanced degrees, but we'll look for a commensurate amount of relevant experience. You can review our staff bios here for more practical insight on the backgrounds and experience of our current team.

We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality:

• GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact.
• You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny.
• You 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.

The details

• Compensation: We set salaries using a location-based tier system. Our pay for this role:
• NYC or the San Francisco Bay Area: $241,000.
• All other U.S. locations: $219,000.
• International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage.
• Benefits: Our benefits include:
• Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
• Four weeks of paid time off per year
• 16 weeks of fully paid parental leave
• Ergonomic home workstations or coworking space memberships
• 403(b) retirement plan
• Location: GiveWell’s staff work primarily remotely within the U.S. and abroad. This position is eligible to work fully remotely.
• Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC; or London, UK. We'll cover relocation expenses for candidates who wish to move to any of our physical office locations.
• International work: We are happy to employ staff internationally on a case-by-case basis. A successful candidate will need to commit to a work schedule that has some overlap with American working hours and the schedules of key coworkers.
• 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.
• Visa Sponsorship: If you want to work in the United States and need a work visa, we’ll do our best to sponsor it (and also cover up to 100% of relocation expenses on a case-by-case basis). Please note that government entities ultimately dictate our ability to sponsor visas.
• 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.

Miscellaneous details:

• Please note that our hiring process consists of the same work trials for the following roles: Senior Researcher, Senior Malaria Researcher, and Researcher. If, within the last year, you applied and were rejected for one of these roles, you should hold off on applying to the other roles, unless explicitly asked to do so by a member of our team. If you're interested in all of these roles, please just apply once and note in your application that you'd like to be considered for the other roles, too.
• After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our FAQs page!
• We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible.
• We have a strong preference for full-time applicants, but we sometimes consider applications for part-time work on a case-by-case basis. We aren’t interested in reviewing applications for contract or project-based work at this time.
• If we settle on an application deadline, we’ll write it in bold here. If you’re on our website job posting and don’t see a deadline, there is no deadline. If you’re reading this on an external job board and don’t see a deadline, you should double-check on our website.
• You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions.

The Role

We are opening a 3–6 month Early Career program within our AI R&D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems.

We are looking for Early talents to support research in:

• Reinforcement learning for agents and reasoning models
• Building reinforcement learning environments
• Efficient model distillation and evaluation

Your responsibilities will include:

• Assist in designing and running experiments to train LLMs and speculators for them
• Help analyze experimental results and document findings
• Write and maintain code for data mining, processing, and model evaluation
• Collaborate with the team to explore new methods in the selected research direction
• Participate in technical discussions and discuss future steps of research
• Advanced methods for efficient speculative decoding
• Inference optimization techniques

We expect you to have:

• Strong knowledge of computer science and machine learning fundamentals
• Experience with Python and familiarity with deep learning frameworks
• Ability to write clean, efficient code
• Strong problem-solving skills and a willingness to learn quickly
• Good communication skills in English
• Permitted to work in the job’s location

Nice to have:

• Previous experience with NLP/reinforcement learning/AI agents projects
• Familiarity with current LLM concepts
• Enrollment in or completion of a degree in Computer Science, AI, or a related field
• Contributions to open-source projects

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals
• Hands-on experience with real customer workloads and production systems
• Remote work flexibility and a collaborative, supportive team environment
• Opportunity to be considered for a full-time role after the Early Talent Program

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role 

We are looking for a Director, Machine Learning Research (Product) — a senior, customer-facing ML research leader who will keep Nebius at the forefront of modern machine learning and translate cutting-edge advancements into product direction, platform capabilities, and measurable customer success. You will be a machine learning researcher first, with a strong ML and data foundation, operating at the intersection of Product, Engineering, and Strategic Customers.

In this role, you will continuously deep dive into the evolution of state-of-the-art ML pipelines — including training, inference, fine-tuning, evaluation, data workflows, and tooling — and convert those insights into clear product requirements and priorities, practical reference architectures for real-world workloads, and a credible, forward-looking technical point of view that strengthens Nebius both internally and within the broader ML community.

This role is US- remote.

Your responsibilities will include: 

• Drive forward-looking ML research to shape Nebius’ AI platform and PaaS roadmap, translating frontier developments into clear product direction and priorities.
• Convert state-of-the-art ML pipeline insights into actionable requirements, reference architectures, benchmarks, and gap analyses.
• Partner cross-functionally with Product, Engineering, and ML teams to align platform capabilities with emerging ML workloads and best-practice stacks.
• Build strategic collaborations with universities, research labs, and the broader ML ecosystem to accelerate innovation and credibility.
• Establish quality standards for ML-enabled services, including evaluation rigor, reproducibility, reliability, and responsible ML practices.
• Engage strategic customers to understand complex ML scenarios and translate them into clear functional and non-functional requirements.
• Provide senior technical leadership during evaluations, architecture reviews, and escalations, ensuring customer realities inform platform decisions.
• Articulate and communicate a clear vision for AI-enabled applications and the infrastructure stack required to support them, influencing both technical and executive audiences.  

We expect you to have: 

• 10+ years of experience in machine learning research and/or applied ML (industry, academia, or hybrid), with a strong track record of staying current with the research frontier.
• 5+ years operating as a senior technical leader (Staff/Principal/Director-level), shaping direction across multiple teams and stakeholders.
• Proven ability to translate research insights into tangible product or platform impact, including requirements, roadmaps, reference architectures, and evaluation standards.
• Experience engaging strategic customers or external partners in deep technical discussions, converting ambiguous goals into clear, actionable requirements.
• Demonstrated collaboration with universities or research labs through joint projects, partnerships, supervision, publications, or advisory roles.
• Strong technical communication record, including internal knowledge-sharing, external talks, writing, or publications that establish credibility. 

It will be an added bonus if you have: 

• Experience working with ML at scale, including large training runs, high-throughput inference, or performance-sensitive pipelines, even if not directly owning the infrastructure.
• Familiarity with modern ML ecosystems and tooling (e.g., PyTorch and distributed training/serving stacks) and their application in real-world production workflows.
• Experience defining, implementing, or improving evaluation practices, including benchmarking, model quality metrics, offline and online evaluation, and reproducibility standards.
• Prior experience in a field-facing technical leadership role (e.g., Field CTO, Principal Architect, Technical Advisor), partnering closely with GTM and Product teams.

What we expect you to have (skills & traits)

• ML researcher mindset: ability to evaluate new ideas critically, reproduce/validate claims, and separate signal from hype.
• Strong foundation in machine learning and data (modeling, training dynamics, evaluation, dataset considerations, experimentation practices).
• Ability to translate deep technical concepts into clear product implications and customer-ready guidance.
• Comfort operating in a highly cross-functional environment and influencing without direct ownership.
• Strong written and verbal communication: technical docs, product-facing narratives, workshops, and executive-level discussions.

• We offer competitive salaries, ranging from $200k- $300k base equity + quarterly performance bonuses.

About the Role

We are looking for a Senior UX Researcher to join our rapidly growing Product org. You will help shape the future of the Fivetran data pipeline platform for businesses large and small. Our ideal candidate has a balance of research rigor and business focus. We value those that hit the ground running, leading by example on projects and collaborating well cross-functionally. You will be diving deep into the daily lives of our customers and applying that understanding to everyday product design decisions. 

As you talk with our team, your portfolio should contain case studies that demonstrate strong storytelling skills, use of effective research methodologies, and clear impact of your previous work.

Fivetran has a positive, diverse, and supportive culture. We appreciate Researchers who are curious, humble, think deeply, speak clearly, and thrive on collaboration and feedback. If this sounds like a good fit for you, send us a hello with links to your work and experience. On day one, this role will report to the Director of UX Research.

This is a full-time position based in our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team

What You’ll Do:

• Plan, manage, and execute on user research programs across focused product areas
• Collaborate with design, product, and analytics to build research projects that align with stakeholder needs as well as user needs.
• Guide product and design on the research methodology, question framing, and other best practices for self-run studies.  
• Identify emerging customer and user needs to support the development of new products.
• Synthesize learnings from past research and analytics data to tell compelling stories and lead ideation sessions.

Skills We’re Looking For:

• A strong experience with mixed method qualitative and quantitative research.
• A strong portfolio featuring examples of your work, your research philosophy, and the outcomes/results.
• Entrepreneurial and self-motivated with a bias toward action – there’s tons of greenfield opportunity here, and you’ll need to lean into the ambiguity and lead projects to completion.
• Ability to craft engaging presentations with engrossing stories that influence your peer stakeholders.
• A strong desire to learn about our user and how our product impacts their success.
• Experience in the data industry

Nice to Have:

• Experience with various survey methods, analysis, visualizations and relevant data tools like SQL.
• Experience using AI to plan studies, synthesize feedback, and work more efficiently.

#LI-HYBRID #LI-KM3

The UX Research (UXR) Team leads critical research efforts at Smartsheet. Our goal is to empower our Product Design partners with the insights they need to make well-informed design decisions. We also use our insights and perspective to inform cross-functional product development and alignment. We're a highly motivated, detail-oriented group with a passion for products, people, and bigger-picture insights.

Researchers at Smartsheet come from a diverse range of traditional and non-traditional backgrounds. We apply a wide range of research methodologies, human-centered design practices, and principles of human cognition to create engaging, valuable, and intuitive user experiences for our customers. As a member of the User Experience team, you'll shape the future of work.

This full-time position reports to the UX Manager and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.

You Will:

• Drive Strategic Impact: Impact the product at the feature level while broadening influence by applying insights holistically across an entire experience and pillar.
• Execute End-to-End Research: Identify tasks and activities without guidance, and work with the team to prioritize research questions and create a research roadmap. Adapt research methodologies, shifting effectively between rapid, 'scrappy' approaches and comprehensive, in-depth studies, as necessitated by the specific research questions.
• Uplevel Insights: Provide recommendations that increase the knowledge of the team beyond a single project, moving from tactical to strategic insights.
• Influence Strategy: With guidance, start to influence product priority and strategy in addition to near-term design and product improvements.
• Apply Appropriate Methodologies: Use multiple generative and evaluative research methods to answer product and design questions, while articulating the limitations of different methodologies.
• Leverage Quantitative Data: Utilize descriptive and inferential statistics to analyze behavioral and survey data, identifying significant trends and patterns that inform product decisions and measure user sentiment at scale.
• Collaborate and Lead: Proactively establish yourself as the go-to research person for your product team and develop positive, trust-based relationships with partners.
• Drive Business Intuition: Contribute to the team's overall customer intuition and leverage competitive insights to propose features that enhance the product's edge.

You Have:

• Proven Research Experience: 3-5 years of experience in UX research or a related field.
• Methodological Expertise: Experience with multiple generative and evaluative methods and the ability to draw appropriate conclusions from varied data types.
• Statistical & Technical Proficiency: Familiarity with descriptive and inferential statistics, with practical experience using R or Python to manipulate and analyze large datasets, including telemetry/behavioral logs and complex survey results.
• Communication Skills: Ability to understand the needs of different audiences and adapt presentations and communication styles accordingly.
• AI Literacy: An understanding of how AI tools process and synthesize data, including risks such as bias and hallucinations.
• A Bachelor's or Master's degree in a related field (e.g., Psychology, Human-Computer Interaction, Journalism, Anthropology, Communication, Design, etc.) or equivalent practical experience.
• Must be legally eligible to work in the US on an ongoing basis.

The Role

Quantitative research is a key driver of innovation at CTC and one of the pillars upon which our firm is built. As a Quantitative Researcher, you’ll operate near the tip of the spear in a collaborative, dynamic environment. This includes close partnership with other researchers, traders, and engineers on quantitative problem-solving, trading strategy generation, back-testing, statistical analysis, and system design. Our environment of collaborative innovation and intellectual curiosity allows us to share in our victories while continually challenging ourselves to stretch the limits of our creativity. Take advantage of this opportunity to apply the scientific method to business problems as part of one of our Quant teams at CTC! 

We prioritize team matching at the outset of our hiring process, thoughtfully considering which of our two teams (Vol Overlay or Delta Force) offers the best fit for each candidate’s strengths and interests while also aligning to the firm’s highest priority needs. 

What We’re Looking For   

We are seeking a Quantitative Researcher who can seamlessly blend academic rigor with practical application in our fast-paced trading environment. This individual will partner with our Trading and Technology teams to strengthen, scale, and evolve the firm's trading capabilities. The ideal candidate will possess a unique combination of analytical prowess, programming skills, and eye for business, driving innovation and results in quantitative finance. 

Responsibilities 

• Analyze market data to come up with economic and microstructure hypotheses 
• Build predictive and explanatory models to describe financial markets 
• Add revenue by applying thorough research processes to real life business problems 
• Contribute to ongoing improvement of research and trading infrastructure 

Qualifications 

• PhD in Science or Engineering fields (e.g. Statistics, Mathematics, Applied Mathematics, or Operations Research) 
• Proven ability to conduct independent, high-quality research 
• Exceptional ability to communicate complex ideas and research results, both in writing and verbally 
• Unwavering commitment to quality, coupled with a drive for delivering commercial outcomes. 
• Demonstrated expertise in applying quantitative modeling techniques to large, complex datasets 
• Strong track record of publications in an industry setting 
• Advanced Python programming skills 

Nice to Have 

• Proficiency in C++ 
• Experience in financial markets 
• Experience using NumPy and Pandas libraries 
• Experience with the software development lifecycle 

Overview

Instacart’s Shopping Experience team is focused on making it effortless for people to discover, plan, and shop the food that fuels their lives. We’re building intuitive, trustworthy experiences that help customers find inspiration, make healthier choices, and get from idea to checkout with confidence.

We’re looking for a Senior Product Manager to lead our Health product area. In this role, you will shape the vision, strategy, and roadmap for how Instacart helps customers discover and shop food that honors dietary needs and helps them achieve their health goals.

You’ll partner closely with design, research, engineering, data science, and go-to-market teams to translate deep user empathy into delightful, impactful products. This is a highly visible, zero-to-one opportunity—ideal for someone who thrives in ambiguity, rolls up their sleeves to execute, and loves building startup-style products within the scale of Instacart.

You’ll join a focused pod within Shopping Experience with 6 engineers, 1 data scientist, 1 designer, and 1 user researcher, and collaborate across a broader group of product managers in the organization. The features you ship will be used by millions of customers every week, giving you the chance to drive meaningful outcomes at scale.

We’re a remote-friendly, fast-moving team that values clear communication, ownership, and collaborative problem solving to serve customers better every day.

About the Job

• Own the end-to-end product strategy and roadmap for Health within Shopping Experience, driving zero-to-one bets from discovery through scaled launch and iteration.
• Partner with design and research to deeply understand customer needs across inspiration, dietary filters, and health-forward discovery; translate insights into simple, elegant product experiences.
• Define success metrics and run a rigorous experimentation program (A/B tests, multivariate tests) to improve core outcomes such as engagement, conversion, and retention.
• Work cross-functionally with engineering, data science, operations, partnerships, legal, and privacy to deliver responsibly built features at scale, balancing speed with quality and compliance considerations.
• Build alignment across diverse stakeholders, communicate tradeoffs and decisions with clarity, and ruthlessly prioritize to maximize customer and business impact in a fast-paced environment.

About You

You combine customer obsession with data-driven decision making, communicate crisply across functions, and are energized by turning ambiguity into clear, measurable outcomes.

Minimum Qualifications

• 6+ years of product management experience building consumer products, including ownership of end-to-end user experiences from discovery through launch and iteration.
• Proven track record shipping zero-to-one products with measurable impact (for example: improved conversion, retention, or engagement) and scaling them to broad adoption.
• Hands-on experience collaborating with product design and user research to convert insights into clear PRDs, prototypes, and shipped features.
• Data fluency with experimentation and analytics (for example: defining success metrics, partnering on A/B tests, interpreting results; SQL proficiency or equivalent analytics tooling experience).
• Experience operating in highly cross-functional environments, influencing without authority, and aligning multiple stakeholder groups to a clear roadmap.
• Bachelor’s degree in a relevant field (such as Computer Science, Engineering, Design, Business, or a related discipline) or equivalent practical experience.

Preferred Qualifications

• Experience in health, nutrition, wellness, or other regulated consumer product spaces.
• Background in e-commerce, marketplaces, personalization/recommendation systems, search, or content experiences.
• Startup or “startup within a startup” experience leading products from zero-to-one in high-ambiguity, fast-moving environments.
• Familiarity with third-party integrations relevant to health (for example: recipes, nutrition data, or health data platforms).
• Exceptional storytelling and communication skills, including the ability to drive alignment across executive and cross-functional audiences.

#LI-Remote

IMC is looking for an Accounting Manager to join the US Accounting team. The Finance team operates closely with our Trading and Technology teams to manage the liquidity required to run a high-performance organization.

Key Responsibilities

• Take ownership of the monthly close process by delivering consistent and accurate closings.
• Prepare monthly journal entries and reconciliations for multiple entities.
• Assist and back up in the accounts payable, accounts receivable, and treasury management functions.
• Analyze account fluctuations at the entity level on a monthly and ad-hoc basis.
• Identify automation opportunities within the accounting and finance functions to implement improvement initiatives and support efficiency improvements.
• Manage inter-company recharges and allocations.
• Update and maintain procedural documentation.
• Collaborate with mid-office, procurement, and financial planning and analysis teams to produce reliable and timely reporting.
• Facilitate process improvement to reduce closing cycle time.
• Document and deliver support for various regulatory and financial audits.
• Assist with annual audit and work with external audit team.
• Ensure timely, accurate completion of related special project and analysis work and other ad hoc tasks as requested by other senior members of finance.

Required Qualifications

• Bachelor’s degree in accounting or finance; CPA certification preferred
• 5+ years of experience in the financial services or technology industry
• Series 27 and experience with broker dealer regulatory reporting a plus
• Experience with Workday preferred
• High proficiency in Excel required, AI tools experience a plus
• Strong attention to detail and effective communication skills (oral and written) at all organizational levels
• Strong interpersonal, organizational, problem-solving, and timemanagement skills
• A proactive attitude and an out-of-the-box thinker who is comfortable working in a fast-paced environment

The role

At HelloFresh, our mission is to change the way people eat - forever. From our 2011 founding in Europe’s vibrant tech hub Berlin, we’ve become the global market leader in the meal kit sector and inspire millions of energised home cooks across the globe every week.

Our operation planning team, located in Berlin and New York, is critical to what we do. From operation and supply chain optimization to forecasting, we work on challenging problems and have a high output of building and releasing features and engines that make our business thrive and deliver real financial impact.

As an Applied Scientist in Operations Researcher (OR), you will work together with a global, cross-functional team that is transforming supply chain management, from menu planning and procurement to production and logistics. In this role, you will play a vital part in enhancing and expanding our algorithmic planning capabilities. Your contributions will directly impact the efficiency and performance of our business operations.

What you’ll do

• Design, implement and evolve optimization models and decision-support tools for high-impact planning problems in the supply chain (e.g. assortment/menu structure, capacity, sourcing, fulfillment and network trade-offs, priorities will follow business needs).
• Drive adoption of globally developed optimization capabilities: localize assumptions, validate outputs against operational reality and coordinate staged roll-outs with stakeholders and engineering.
• Partner with engineering to productionize solvers, services and workflows; ensure ownership, runbooks, and monitoring are clear after launch.
• Build and maintain data pipelines and, where useful, dashboards so inputs, outputs, and KPIs stay transparent and we can iterate with measurable feedback.
• Spot gaps early: translate messy reality into robust, data-backed formulations and pragmatic solutions that hold up at scale.
• Collaborate across product, engineering, data, and commercial teams; represent the US planning perspective in global OR discussions so shared roadmaps stay fit for purpose.
• Champion a shared, optimization-aware, data-driven way of planning — without losing sight of simplicity and trust from business users.

What you’ll bring

• Master’s or PhD in Operations Research, Mathematics, Industrial Engineering, Management Science, or a closely related field.
• Deep knowledge of mathematical optimization and core OR methods (e.g. mixed-integer programming, decomposition and sound use of heuristics where appropriate).
• Hands-on experience with industrial solvers such as Gurobi, CPLEX, or comparable (commercial or open-source).
• Senior-level track record: Either 5+ years of relevant professional experience applying OR/optimization in industry, or a PhD plus 3+ years of post-PhD applied work, demonstrating shipped models or tools and clear ownership of outcomes.
• Strong Python and SQL for modelling, experimentation, and working with large operational datasets; familiarity with BI tools (e.g. Tableau) is a plus.
• Excellent written and verbal communication; you can explain trade-offs, build trust, and align priorities across levels.
• Autonomy and judgment: you prioritise under ambiguity, run several meaningful threads in parallel, and keep quality high as scope grows.

You’ll get…

• Competitive hourly rate, 401K company match that vests immediately upon participation, & team bonus opportunities
• Generous PTO and flexible attendance policy 
• Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
• Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)   
• Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+
• Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

What You’ll Do:

As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $180,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

As a Staff AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $190,000 - $240,000 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

As a Principal AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $270,000.00 - $340,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

What You’ll Do:

As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $180,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

Job Title: AI Researcher (AI-Oriented Knowledge Systems)

Location: Piscataway, NJ

The estimated salary range for this role is $85,000 - $145,000 depending on experience. 

Responsibilities

Core Research Directions: Responsible for one or two of the following areas:

Knowledge Extraction & Structuring

• Research techniques for extracting structured knowledge from multi-source heterogeneous data (documents, web pages, databases, conversation logs)
• Design automated pipelines for entity recognition, relation extraction, and event detection
• Develop knowledge quality assessment and cleaning mechanisms to filter noise and conflicting information
• Explore LLM-assisted knowledge extraction methods, balancing automation efficiency with manual validation costs
• Research incremental knowledge extraction strategies to support continuous knowledge base updates and expansion

Knowledge Organization & Representation

• Design knowledge graph schemas and ontologies to build structured frameworks for domain knowledge
• Research Knowledge Embedding techniques to achieve fusion of knowledge and vector spaces
• Develop multi-level knowledge representation systems supporting coarse-to-fine granularity knowledge navigation
• Explore knowledge fusion and alignment techniques to resolve entity disambiguation and conflict resolution from multi-source knowledge
• Research knowledge version management and provenance mechanisms to ensure knowledge traceability

Knowledge Retrieval & Augmentation

• Optimize RAG (Retrieval-Augmented Generation) systems to improve retrieval accuracy and answer quality
• Research hybrid retrieval strategies combining vector search, keyword search, graph traversal, and other approaches
• Develop retrieval re-ranking algorithms to enhance Top-K result relevance
• Design retrieval-generation collaborative optimization mechanisms to reduce hallucinations and erroneous citations
• Explore retrieval feedback learning to continuously optimize retrieval strategies based on user behavior

Knowledge Reasoning & Question Answering

• Research knowledge graph-based reasoning techniques supporting multi-hop reasoning, logical reasoning, and causal reasoning
• Develop Complex QA systems supporting multi-condition and multi-step question answering
• Explore fusion methods combining LLMs with symbolic reasoning, leveraging advantages of both neural and symbolic approaches
• Design interpretability frameworks for reasoning processes, supporting answer provenance and reasoning chain visualization
• Research knowledge gap detection and active learning mechanisms to identify coverage blind spots in the knowledge base

Knowledge Update & Maintenance

• Design knowledge timeliness management mechanisms supporting knowledge expiration detection and automatic updates
• Research knowledge conflict detection and resolution strategies for handling contradictory information fusion
• Develop knowledge base health monitoring systems tracking coverage, accuracy, freshness, and other metrics
• Explore human-feedback-driven knowledge iteration mechanisms
• Research knowledge compression and summarization techniques to optimize storage efficiency and retrieval performance

Job Requirements

Basic Qualifications

• Master’s degree or above in Computer Science, Artificial Intelligence, Information Management, or related fields
• 3+ years of AI-related research or development experience with hands-on experience in knowledge graphs, RAG, or QA systems
• Publications in top-tier conferences (ACL, EMNLP, SIGIR, WWW, NeurIPS, etc.) preferred

Technical Skills

Programming & Engineering

• Proficient in Python with expertise in data processing and large-scale text processing techniques
• Familiar with mainstream NLP frameworks (spaCy, NLTK, HuggingFace Transformers, etc.)
• Experience with graph databases (Neo4j, NebulaGraph, JanusGraph, etc.)
• Familiar with vector databases (Milvus, Chroma, Weaviate, FAISS, etc.)

AI Expertise

• Deep understanding of core NLP technologies: entity recognition, relation extraction, text classification, semantic similarity
• Familiar with the full lifecycle of knowledge graph construction and application
• Proficient in RAG technology stack with hands-on experience in retrieval optimization, re-ranking, and answer generation
• Prior experience in vertical domain knowledge system construction and knowledge-driven LLM application deployment (e.g., healthcare, legal, finance, technology) preferred
• Familiar with multi-modal knowledge processing (text + image + table + structured data)

Data Processing

• Familiar with large-scale data processing technologies (Spark, Flink, Dask, etc.)
• Experience in data governance such as data cleaning, deduplication, and standardization preferred
• Familiar with common data formats and protocols (JSON, XML, RDF, OWL, etc.)

Research Capabilities

• Ability to conduct independent technical research, owning the full process from problem definition to solution deployment
• Strong literature review and summarization skills with ability to quickly absorb cutting-edge research findings
• Experimental design and evaluation capabilities, able to design proper comparative and ablation studies

Soft Skills

• Strong interest in the intersection of knowledge engineering and AI, keeping up with latest domain developments
• Excellent communication and collaboration skills, able to work efficiently with engineering and product teams
• Systems thinking ability to approach knowledge system design from an overall architecture perspective

#LI-EB1

#GS

Job Title: AI Researcher (Agentic AI System Architecture)

Location: Piscataway, NJ

The estimated salary range for this role is $85,000 - $145,000 depending on experience. 

Responsibilities

Core Research Directions, responsible for one or two of the following areas:

Harness Architecture Design & Implementation

• Research and design Agent execution framework, providing standardized runtime environment for intelligent agents
• Implement tool call orchestration mechanism, supporting unified abstraction for function calling, API integration, and external system interaction
• Build execution sandbox environment to ensure safety and controllability of Agent operations
• Design task decomposition and planning engine, supporting automatic breakdown of complex goals and execution path optimization
• Implement execution state tracking and anomaly recovery mechanisms to ensure reliability of long-running tasks

Memory System Architecture Development

• Design hierarchical memory architecture, covering storage and retrieval mechanisms for working memory, short-term memory, and long-term memory
• Research memory compression and summarization techniques, enabling efficient storage of massive interaction history while preserving key information
• Build context-aware memory system, supporting multi-dimensional memory association based on time, task, and user
• Develop memory retrieval augmentation mechanisms, achieving deep integration of RAG and Agent memory
• Explore memory forgetting and update strategies, balancing memory capacity with information timeliness

Multi-Agent Collaboration Architecture

• Research multi-Agent system architecture, design communication protocols and collaboration mechanisms between Agents
• Implement role specialization and task allocation algorithms, supporting orchestration of expert Agents, coordinator Agents, executor Agents, and other roles
• Build consensus achievement and conflict resolution mechanisms to handle decision disagreements among multiple Agents
• Design Agent social behavior norms, simulating communication, negotiation, and feedback patterns in human team collaboration
• Explore emergent behavior and collective intelligence, researching self-organization and adaptive capabilities in multi-Agent systems

General Architecture Capabilities

• Design Agent evaluation and benchmarking system, establishing quantitative capability metrics
• Build Agent behavior interpretability framework, supporting decision process tracing and attribution analysis
• Research Agent safety alignment mechanisms to prevent risks such as unauthorized operations, harmful outputs, and goal drift
• Track cutting-edge Agentic AI research and translate academic achievements into engineering practice

Job Requirements

Basic Qualifications

• Master’s degree or above in Computer Science, Artificial Intelligence, Cognitive Science, or related fields
• 3+ years of AI-related research or development experience, with hands-on experience in Agentic AI and LLM application architecture
• Publications in top-tier conferences (NeurIPS, ICML, ACL, EMNLP, etc.) are preferred

Technical Skills

Programming & Engineering

• Proficient in Python, familiar with asynchronous programming, concurrency control, and performance optimization
• Familiar with mainstream LLM frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, etc.)
• Experience in large-scale distributed system design and implementation
• Familiar with containerization technologies such as Docker and Kubernetes

AI Expertise

• Deep understanding of Transformer architecture and large model principles
• Familiar with Prompt Engineering, Function Calling, Tool Use, and related technologies
• Experience in RAG system development, familiar with vector retrieval, text Embedding, re-ranking, and related techniques
• Understanding of reinforcement learning fundamentals; experience with RLHF, DPO, and related methods is a plus

Architecture Design

• Capable of system architecture design, able to independently complete technical solution design for complex modules
• Familiar with design patterns and software engineering best practices
• Good habits in technical documentation writing

Research Capabilities

• Ability to conduct independent technical research, responsible for the entire process from problem definition to solution implementation
• Strong literature reading and summarization skills, able to quickly absorb cutting-edge research achievements
• Capability in technology selection and evaluation, able to make reasonable decisions among multiple solutions

Soft Skills

• Strong passion for AI technology, keeping up with the latest developments in the Agentic AI field
• Excellent communication and collaboration skills, able to work efficiently with engineering teams
• Critical thinking ability, capable of objectively evaluating and iteratively optimizing technical solutions

Preferred Qualifications

• Contributions to Agent framework open-source projects (e.g., LangChain, AutoGen, LlamaIndex)
• Production-level Agent system deployment experience with 10,000+ daily task processing
• Familiarity with cognitive science and human decision-making theory, able to apply them to Agent architecture design
• Research experience in Embodied AI or robotics
• Familiarity with Graph Neural Networks, Knowledge Graphs, and related project experience
• Entrepreneurial experience or experience building AI products from 0 to 1

#LI-EB1

#GS

About the Role

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 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

Reddit is hiring a Staff Product Security Engineer to make the secure path the easiest path for engineers and AI agents. You'll lead the design and delivery of secure frameworks, paved paths, and workflow-native controls that eliminate recurring vulnerability classes before they reach production. As AI-assisted development accelerates code velocity faster than manual review can absorb, this role exists to close that gap structurally — through guardrails, automation, and platform-level prevention that scale with the engineering org.

What You'll Do

• Build and evolve secure frameworks, guardrails, and library-level controls that make common vulnerability classes harder to introduce.
• Design security controls for AI-assisted development — including reusable rule packs and skills that shape how engineers and coding agents generate, review, and ship code.
• Embed security into the workflows engineers already use.
• Drive product security reviews for new launches and major architectural changes.
• Identify and eliminate systemic security debt.
• Shape strategy, influence architecture, and drive execution across teams.

What We're Looking For

• 8+ years of experience in software engineering, product security, or application security, with at least 2 years operating at a staff level of scope and impact.
• Proficiency in one or more languages (Go, Python, JS/TS).
• Experience designing, building, and operating production-quality systems and developer-facing platforms.
• Experience building secure frameworks, libraries, or guardrails that improve security across many teams at once.
• Demonstrated ability to integrate security into developer workflows: CI/CD, code review, release processes, and internal platforms.
• Clear communicator who can explain technical detail and business impact to both engineers and leadership.
• Comfortable in fast-moving environments where AI-assisted development is reshaping how software is built and reviewed.
• Experience with vulnerability discovery and remediation pipelines, including bug bounty or researcher-reported findings.
• Track record of mentoring engineers and raising the technical bar across a security or platform engineering org.

Preferred Qualifications

• Experience securing AI/LLM systems, agentic workflows, or AI-assisted development tooling.
• Familiarity with authentication/authorization systems, cloud-native platforms, and how to secure them.

#LI-Remote

We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders.

This role is hybrid, based out of Santa Clara, CA.  

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.”
• You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life.
• You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon.
• Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions.
• Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements.

What We Need

• Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager).
• Your field insight will help shape our roadmap, our features, and the way we show up for developers.
• Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow.
• Experience with embedded systems, FPGA Architecture or AI accelerators. Familiarity with hardware/software co-optimization is often critical for efficient inference at the edge.
• Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management.

What You Will Learn

• How to explore and push the boundaries of AI performance on custom silicon and help developers do the same.
• What it’s like to build the future from scratch, working alongside teams creating hardware, software, and everything in between.
• To master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale.
• An understanding of why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Working as a coder at Hudson River Trading (HRT) means working on a small, highly productive, and efficient team. You may see "trading" in our name and assume you'll be relegated to some dark corner to code for the "business," but that could not be further from the truth! 

At HRT, an automated trading firm based in NYC, the code you write *is* our business, so it is everyone's job to make sure our developers have everything they need to do their jobs well.

As a member of the AI Tools team, you will be responsible for increasing productivity across the company by integrating the newest AI tools into our users’ workflows. Whether it’s for a Python developer writing a web app, a C++ developer speeding up order execution, a researcher investigating trade signals, or even Business Development meeting with vendors - we are focused on deploying what works.

This is an exciting opportunity to help build and define the AI tooling ecosystem at HRT. You will have to navigate the rapidly evolving options in this space, and adapt them to our own internal systems. You might be fixing auth one day, comparing vendors the next, and coding a new MCP the third. 

Responsibilities

• Help us develop software that improves productivity for every office and department at HRT while using the latest technologies and techniques in software engineering and the broader AI tooling ecosystem.
• HRT has many high-impact areas where we are integrating AI tools; here’s what you could work on:
• Writing a custom MCP wrapper around internal resources.
• Fine-tuning a new code completion model.
• Deploying a new coding assistant across all developer and researcher environments.
• Developing evaluations and iterating on an autonomous coding agent.
• Collaborating with security to improve AI sandboxing.
• Presenting and educating users on best practices.

Profile

• You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs.
• Experience deploying and maintaining applications. You’ve managed an application from the design phase through the production phase.
• You’re comfortable with defining direction in an environment of ambiguity and uncertainty. The AI tooling space changes rapidly.
• You really like to work with people who challenge you and make you better at what you do.
• In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things AI and computer-related.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Python experience is required, daily use of most recent standards preferred.
• C++ and JavaScript (TypeScript, React) experience a plus.
• Experience with the AI tooling ecosystem (use coding assistants/agentic workflows, ideally have built your own customizations).
• Superior design, debugging, and problem solving skills.
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies.  

Research Engineers at HRT work on a wide variety of projects. Examples include:

• Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals.
• Building world-class research tooling to speed up Algo Developers’ research iteration.
• Aiding the development and deployment of very large deep learning models for HRT’s live trading.
• Improving HRT’s monetization systems which turn our predictions into profitable trades.
• Evaluating sim vs. live differences to improve the fidelity of our simulations.
• Building systems to monitor and manage live trading.
• Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies.
• Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) – you’ll interact with markets across the world!

Responsibilities

• Design, develop, and maintain robust, performant, and scalable software systems.
• Optimize existing codebases for performance, reliability, and efficiency.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
• Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms across trading teams. Because we don’t work in a pod environment, REs on different trading teams are expected to share technology and ideas.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms.
• Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)
• Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

For more info about interviewing at HRT, see this blog!

HRT is seeking quantitative researchers to join our effort in developing mid-frequency systematic trading strategies. Candidates will apply rigorous statistical methods on a wide range of datasets and implement trading models based on novel predictions of market behavior, all while leveraging HRT’s world-class research and trading infrastructure.

Successful candidates will be part of a growing effort and have the opportunity to contribute to all aspects of strategy development, including alpha generation, portfolio construction/optimization and trade execution algorithms. Researchers are responsible for not only prototyping and conducting research into various strategy components, but also writing code to productionalize their ideas; thus, interest and experience in programming are essential.

HRT employees enjoy a collegial and non-siloed environment; candidates will work closely with other researchers to develop new ideas and refine existing trading models.

Skills

• 3+ years of prior work experience in stat-arb required
• Degree in a quantitative or technical discipline (e.g. statistics, computer science, physics, mathematics, economics)
• Exceptional academic credentials
• Demonstrated ability to conduct research using large noisy real-world datasets
• Exceptional attention to detail and desire to understand issues deeply
• Outstanding work ethic and ability to thrive in a fast-paced environment
• Strong numerical programming skills, including proficiency in Python for data analysis and machine learning. Experience with C++ a plus

The estimated base salary range for this position is $175,000 to $300,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development team. Algorithm Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models. 

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. You can expect to apply your advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies.

Profile

• You’re excited to apply your research expertise to identify new opportunities in worldwide markets  
• You enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently
• You are a critical thinker who can learn and implement new skills in a fast-changing environment

Qualifications

• You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2026
• Fluency in Python
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
• Brilliant analytical and problem-solving skills
• Ability to work creatively and independently on long-term technical problems

The estimated base salary for this position is 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts.

Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made.

Qualifications

• Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc.
• Experience translating methods between areas of application is highly valued.
• LLM experience is valuable, but not necessary.
• Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

The Role:   

We are looking to hire a Quantitative Researcher to join our Research & Data Analytics team. In this role you will contribute to generating original research and building internal research & analytics capabilities. As a valued member of the team, you will also employ our exclusive private markets data, along with macro trends and emerging themes in the space to generate unique content and insights for our clients, prospective clients, internal partners, and the public. This is an impactful role that will help build and shape Forge’s Research & Analytics functions.  

Location: This role requires a hybrid work schedule, with 2-3 days per week in our Soho, NY office to foster collaboration and teamwork.  

Responsibilities:  

• Utilize strong programming and data science skills to conduct unique research in support of our Data, Products and Marketing efforts  
• Work closely with team members and across Forge to identify, measure and communicate the trends and forces moving and shaping the venture-backed / pre-IPO equity market  
• Assist in the development of private market indices. Support index rebalancing and answer client queries related to index management and methodologies  
• Collaborate in the research and development of new models, data products, metrics, and insights  
• Maintain and enhance internal models and databases to ensure comprehensive coverage for our data universe  
• Aid data-driven content development and value proposition creation, collaborating across Markets, Marketing, Comms, and other Forge teams to prepare and publish thought-provoking, relevant, and timely research reports for clients and stakeholders  
• Assist with inbound and outbound ad-hoc data requests and analysis for content and communications  
• Partner closely with our product, sales, and marketing functions by driving content development and value proposition creation  
• Help identify new unique data points to support research and enhance our research and product offerings  

Qualifications:   

• 6-10 years of relevant work experience (e.g., research, data science, data analytics) in the public or private equities markets. 
• Undergraduate and Masters degrees in finance, economics, statistics, mathematics, engineering or a related field. 
• Excellent communication and presentation skills: able to translate and communicate quantitative information effectively to non-technical audience.  
• Strong internal partnership skills: ability to proactively suggest content ideas and collaborate with peers to execute, as well as respond to requests/ideas from partners and shape Forge’s response  
• Exceptional attention to detail  
• Strong interest in private investing and venture-backed companies Highly competent programmer: Python, AI/ML & Advanced SQL highly desirable. 
• Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication 

Preferred Qualifications: 

• Professional writing experience 
• Index management knowledge 
• Experience building agentic workflows 

For residents of NY, NY the annual salary range for this role is $170,000 - $220,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, annual bonus, and other factors.

The Role:   

We are looking to hire a Quantitative Researcher to join our Research & Data Analytics team. In this role you will contribute to generating original research and building internal research & analytics capabilities. As a valued member of the team, you will also employ our exclusive private markets data, along with macro trends and emerging themes in the space to generate unique content and insights for our clients, prospective clients, internal partners, and the public. This is an impactful role that will help build and shape Forge’s Research & Analytics functions.  

Location: This role requires a hybrid work schedule, with 2-3 days per week in our San Francisco, CA office to foster collaboration and teamwork.  

Responsibilities:  

• Utilize strong programming and data science skills to conduct unique research in support of our Data, Products and Marketing efforts  
• Work closely with team members and across Forge to identify, measure and communicate the trends and forces moving and shaping the venture-backed / pre-IPO equity market  
• Assist in the development of private market indices. Support index rebalancing and answer client queries related to index management and methodologies  
• Collaborate in the research and development of new models, data products, metrics, and insights  
• Maintain and enhance internal models and databases to ensure comprehensive coverage for our data universe  
• Aid data-driven content development and value proposition creation, collaborating across Markets, Marketing, Comms, and other Forge teams to prepare and publish thought-provoking, relevant, and timely research reports for clients and stakeholders  
• Assist with inbound and outbound ad-hoc data requests and analysis for content and communications  
• Partner closely with our product, sales, and marketing functions by driving content development and value proposition creation  
• Help identify new unique data points to support research and enhance our research and product offerings  

Qualifications:   

• 6-10 years of relevant work experience (e.g., research, data science, data analytics) in the public or private equities markets. 
• Undergraduate and Masters degrees in finance, economics, statistics, mathematics, engineering or a related field. 
• Excellent communication and presentation skills: able to translate and communicate quantitative information effectively to non-technical audience.  
• Strong internal partnership skills: ability to proactively suggest content ideas and collaborate with peers to execute, as well as respond to requests/ideas from partners and shape Forge’s response  
• Exceptional attention to detail  
• Strong interest in private investing and venture-backed companies Highly competent programmer: Python, AI/ML & Advanced SQL highly desirable. 
• Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication 

Preferred Qualifications: 

• Professional writing experience 
• Index management knowledge 
• Experience building agentic workflows 

For residents of San Francisco/Bay Area, CA the annual salary range for this role is $170,000 - $220,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, annual bonus, and other factors.

As a Graduate Quantitative Researcher, you will develop, refine and implement algorithmic trading strategies that shape the future of electronic trading. Working alongside a research team of mathematicians, scientists and technologists, you will leverage vast data sets to construct complex models to predict market movements. With your expertise in statistics and exceptional analytical and research skills, you will develop innovative solutions that are foundational to Optiver’s trading strategies.

This opportunity is also available in our New York City and Austin offices.

What you’ll do:

Your onboarding

You will participate in Optiver’s comprehensive Global Academy and be equipped with the knowledge needed to make an impact the moment you join your team. The comprehensive training covers trading theory and Optiver’s tech stack to hone your skills for your role. In addition, you will be paired with a dedicated mentor who will empower you to take ownership of your work and make a difference.

Your responsibilities

As a Quantitative Researcher, you will have the opportunity to contribute to several key areas:

• Using statistical models and machine learning to develop trading algorithms.
• Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure and financial instruments to identify trading opportunities.
• Building stochastic models to determine the fair value of financial derivatives.
• Combining quantitative analysis and high-performance implementation to ensure the efficiency and accuracy of pricing engines and libraries.

What you’ll get:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool.
• The opportunity to work alongside best-in-class professionals from over 40 different countries.
• Ownership over initiatives that directly solve business problems.
• 401(k) match up to 50% and fully paid health insurance.
• 25 paid vacation days alongside market holidays.
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more.

Who you are:

• PhD in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements
• Expected to graduate by mid-2026 and available to start full-time employment upon graduation
• Solid foundation in mathematics, probability, and statistics
• Excellent research, analytical, and modeling skills
• Independent research experience
• Proficiency in any programming language
• Experience in machine learning, with practical applications in time-series analysis and pattern recognition
• Strong interest in working in a fast-paced, collaborative environment
• Fluent in English with strong written and verbal communication skills

Who we are: 

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver is supportive of US immigration sponsorship for this role.

*We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can reapply once the next recruitment season begins in 2026.

As a Senior Data Analyst, you will join our Financial Planning & Analytics (FP&A) team and partner closely with HR, Finance and Talent Acquisition stakeholders to deliver data analysis and reporting that drives people-related decisions across the organization.

This is a hands-on, technical role. You will spend most of your time building dashboards, writing code, engineering data pipelines, and translating stakeholder requirements into production-ready analytics solutions. You will also serve as a key analytical partner to HR leadership — providing actionable insights on workforce trends, talent acquisition, compensation, employee engagement, and organizational effectiveness. The ideal candidate is a strong data analyst who is equally comfortable working with HR and financial data, can operate independently, and thrives in a fast-paced environment with extensive ad-hoc reporting requirements.

Your Core Responsibilities: 

• BI Development & Data Engineering
  • Design, develop, and maintain dashboards and reports for HR, Talent Acquisition, and FP&A stakeholders using Qlik or similar BI tools (Tableau, Power BI)
  • Build and maintain Python-based ETL pipelines to extract, transform, and load data from HRIS, ATS, finance systems, and other internal sources into the analytics database
  • Own the full product delivery cycle for analytics solutions: requirements gathering, design, development, testing, and deployment to production
  • Extend and optimize the analytics database to support new data sources and evolving reporting needs
  • Ensure data quality, consistency, and reliability across all pipelines and reporting assets
  • Build and automate reporting workflows to reduce manual effort and improve scalability
• HR Reporting & Analytics
  • Develop and maintain standard HR metrics and recurring reports covering headcount, attrition, diversity & inclusion, compensation equity, and employee engagement
  • Build and support recruitment dashboards to track recruitment-funnel progress, pipeline characteristics, and time-to-fill metrics
  • Partner with HR Business Partners (HRBPs) to translate data requests into clear reports and visualizations
  • Conduct ad hoc analyses on people data to support HR and business decision-making
  • Leverage SQL and Python to query large HR datasets, perform statistical analyses, and develop predictive models (e.g., attrition risk, flight risk scoring)
• FP&A & Workforce Planning Support
  • Support FTE forecasting and headcount budgeting processes by building and maintaining models and reports in partnership with Finance and HR/Recruitment teams
  • Contribute to annual HR planning cycles, including headcount forecasting, workforce cost modeling, and scenario analysis
  • Track and manage FTE movement against budget
  • Analyze workforce trends to identify patterns and risk areas relevant to financial planning
• Stakeholder Partnership & Communication
  • Act as a trusted analytical advisor to HR and Finance to understand their needs and proactively surface findings
  • Present data, trends, and insights to both technical and non-technical audiences in clear, concise formats
  • Collaborate with other BI Developers and Engineers within BP&A to maintain shared data standards, governance practices, and documentation
  • Demonstrate curiosity in understanding business context, using that understanding to deliver solutions that balance standardization with practical requirements

Your Skills and Experience: 

• 5+ years of experience as a Data Analyst, BI Developer, Financial Analyst, or similar analytics role
• Demonstrated proficiency in Python and SQL, including writing clean, production-ready code; experience working with large datasets
• Proven experience building reporting and dashboard solutions in Qlik, Tableau, Power BI, or a comparable BI tool
• Demonstrated experience developing and maintaining ETL pipelines and data architecture
• Working knowledge of at least one HRIS platform (Workday, SAP SuccessFactors, Oracle, ADP, or equivalent)
• Excellent communication and interpersonal skills; ability to work directly with non-technical stakeholders and present findings clearly
• Self-driven and comfortable working independently in a dynamic environment with shifting priorities and heavy ad-hoc reporting needs
• Familiarity with data privacy regulations as they apply to employee and people data
• Bachelor's degree in Computer Science, Finance, Statistics, Information Systems or other quantitative field
• Exposure to FP&A processes such as headcount budgeting, FTE forecasting, or workforce cost modeling preferred
• Experience working with HR data including HRIS, ATS, compensation, and headcount data is a plus
• Familiarity with HR metrics frameworks, people analytics best practices, and DEI reporting preferred

Please note that immigration sponsorship is not offered for this specific opening.

About the role

Every time Anthropic releases a model, we publish a system card: a long-form technical document that describes the model's capabilities, safety properties, evaluation results, and the reasoning behind our deployment decisions. System cards are some of the most consequential and widely read documents we produce, and they are one way we hold ourselves publicly accountable for the safety claims we make.

We're hiring a Research Operations Specialist to help own system card production. You'll work embedded with research and safety teams through each launch, coordinating contributions from dozens of researchers, holding the schedule and the open-threads list, and making sure the document ships on time as a single, accurate, internally consistent whole. Along the way you'll do real editorial work: turning results and researcher notes into clear, honest prose and pushing back when an explanation doesn't hold together.

System cards sit within a wider family of external safety artifacts, including risk reports and Responsible Scaling Policy updates. Part of this role is keeping the system card consistent with those documents so that Anthropic's public safety story reads as one coherent account rather than several.

This role sits in Research Operations and works closely with Alignment, Safeguards, Frontier Red Team, and capabilities research. The core of the job is part project management, part translation: keeping a complex, many-author, hard-deadline document on track while making frontier safety research legible to researchers, policymakers, journalists, and the public — without sacrificing precision.

Key responsibilities:

• Drive system card production end to end — own the timeline, the contributor list, the open-threads tracker, and the definition of done for each launch
• Coordinate dozens of contributors across Alignment, Safeguards, Frontier Red Team, Interpretability, and capabilities; chase drafts, resolve differences of perspective, seek ground truth, and run final document beautification
• Edit, and sometimes write, content; work directly with researchers to turn their results, notes, and plots into clear, scientific, non-marketing prose and maintain Anthropic's voice across sections drafted by many different people
• Guard accuracy and consistency; catch terminology drift, claims that subtly contradict each other, and discrepancies between internal communications and system card drafts
• Keep the system card aligned with related artifacts; track what's being said in risk reports, RSP disclosures, and other safety documentation so the system card stays consistent with them, and flag conflicts early
• Improve the process between launches; build and maintain templates, style guidance, contributor guides, checklists, and reusable section scaffolds so each cycle starts from a stronger baseline
• Pick up other research-adjacent operations and writing, such as internal research summaries, release notes, and documentation that helps research leadership communicate clearly

Minimum qualifications:

• Strong project management and execution skills; able to track dozens of open threads to closure during compressed launch periods with many moving parts and many owners
• Demonstrated ability to coordinate and influence without direct authority, building trust while chasing drafts and giving constructive editorial feedback
• Excellent technical writing skills; able to take dense, jargon-heavy source material and produce prose that is precise, honest, and readable by a smart non-specialist
• Comfort working closely with researchers; able to read an evaluation results table, ask the right clarifying questions, and push back when an explanation doesn't hold together
• Working knowledge of large language models at a conceptual level, including fluency with vocabulary such as pretraining, RLHF, context windows, evals, and red-teaming
• Data communication literacy; able to identify how a chart or table could be made clearer and more accurate
• High integrity and a genuine sense of accountability around producing documents that hold Anthropic publicly responsible for its safety claims

Preferred qualifications:

• Familiarity with AI safety, AI policy, alignment research, evaluation methodology, or the RSP landscape beyond baseline LLM knowledge
• Background in science communication, research publishing, or technical journalism
• A track record of shipping long-form technical documents: research reports, whitepapers, technical standards, regulatory filings, or science journalism
• Experience with safety, risk, or compliance documentation such as regulatory submissions, safety cases, security disclosures, or clinical/scientific reporting
• An eye for visual communication and experience shipping polished, on-brand documents
• Light scripting or tooling ability (enough to automate a formatting check or wrangle a spreadsheet)

The Team: 

Upstart's Product Experience team brings together product design, research, and content strategy to shape the future of lending. We focus on high-craft execution, deep customer insight, and measurable business impact,  partnering across product areas to build experiences that are clear, trustworthy, and human. Content Design and User Research are cross-cutting craft specialties that serve every pillar — essential to journey quality and informed decision-making across the team. 

As the Principal UX Researcher reporting to the VP of Product Design, you will establish Upstart's dedicated UX research practice. Today, product designers conduct their own research as needed and the Consumer Insights  team provides market and customer intelligence — but there's no shared UX research methodology or consistent way to connect customer behavior insights to product design decisions. You'll bridge that gap: defining how UX research gets done, equipping designers and PMs to conduct foundational research well, and leading the strategic studies that influence decisions across Upstart's lending products. 

How you’ll make an impact

• Establish and scale a UX research practice, including methodologies, standards, and tools used across product  teams
• Lead high-impact, cross-functional research initiatives that inform product strategy and roadmap decisions    
• Enable designers and product managers to conduct effective day-to-day research through toolkits, templates,and best practices
• Build and maintain research infrastructure — participant recruiting pipelines, research repositories, and insight-sharing systems that make findings accessible and actionable across teams                               
• Partner with Product, Engineering, and Consumer Insights leaders to ensure research has an informed and influential voice in product decisions — bridging horizontal insights across a multi-product lending portfolio  
• Define and promote best practices for conducting research in a regulated environment with sensitive borrower data                                                                                                            
• Balance speed and rigor by prioritizing research that drives timely, actionable insights

Minimum Qualifications 

• Bachelor’s degree in Human-Computer Interaction, Psychology, Sociology, Statistics, or a related field (or equivalent practical experience)
• 8+ years of experience conducting UX research using qualitative and quantitative methods
• Experience building or scaling a UX research practice, including establishing processes, tools, or frameworks
• Demonstrated experience leading research that influenced product strategy or roadmap decisions
• Experience working in complex, multi-product environments

Preferred Qualifications

• Knowledge of financial services, fintech, or consumer lending products
• Experience working in regulated environments with sensitive user data
• Ability to design and implement scalable research systems that enable non-researchers to conduct foundational research
• Experience with AI-assisted research tools or workflows
• Ability to influence cross-functional stakeholders and integrate research into product decision-making

Position location This role is available in the following locations: Remote 

Time zone requirements The team operates on the East/West coast time zones. 

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

#LI-REMOTE

#LI-MidSenior

Strategist, CIO Office (FICC)

The Role

We are seeking an Applied Quant Strategist to join the Chief Investment Office team, focused on the firm’s Fixed Income, Currency & Commodities (FICC) footprint — covering rates, FX, credit, commodities, and derivatives across the platform. You will work directly with senior investment leadership to build the analytics, screens, and AI-driven tooling that support capital allocation and risk decisions across the firm.

What you’ll do

As an Applied Quant Strategist, you will design and build quantitative tooling that sharpens how senior leadership reads the FICC book. You will partner with senior investment leadership, risk, business analytics, and the firm-wide strats community. You will also work alongside your Equities counterpart on enterprise-level initiatives and ensure the CIO has a holistic view into portfolio risk. You will be leading efforts on:

• Quantitative screens and analytics across the firm’s FICC positioning
• Backtests and signal frameworks for rates, FX, derivatives, and commodities strategies
• AI-driven decision tooling for senior investment leadership
• Automated risk-monitoring (DV01, vol, basis, FX/commodity exposure, tail-hedge coverage)
• Ad-hoc analytical support for senior investment leadership
• Establishing and executing on recurring capital and fund management operational initiatives

What you’ll bring

• Background in quantitative research, strategist, or portfolio analytics focused on FICC asset classes; sell-side strats experience welcome
• Working knowledge of rates curves, vol surfaces, derivatives pricing, and/or commodities markets
• Strong Python and SQL skills
• Hands-on experience applying LLMs and modern AI tooling to analytical problems
• Familiarity with Bloomberg or comparable market-data systems
• Excellent communication skills, both written and verbal, with full professional fluency in English
• Ability to work US market hours
• Strong ownership and a track record of delivering results
• Self-starter, comfortable operating with ambiguity
• Nimbleness that is conducive to continuously being redeployed tactically to the firm’s highest ROI projects and requests

Who we are  
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The base pay for this role is expected to be between $175,000 and $225,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

 #LI-LC1

Strategist, CIO Office (Equities)

The Role

We are seeking an Applied Quant Strategist to join the Chief Investment Office team, focused on the firm’s equities platform — covering both discretionary and systematic strategies across equities and equity derivatives. You will work directly with senior investment leadership to build the analytics, screens, and AI-driven tooling that support capital allocation and risk decisions across the firm.

What you’ll do

As an Applied Quant Strategist, you will design and build quantitative tooling that sharpens how senior leadership reads the equities and equity derivatives book. You will partner with senior investment leadership, risk, business analytics, and the firm-wide strats community. You will also work alongside your FICC counterpart on enterprise-level initiatives and ensure the CIO has a holistic view into portfolio risk. You will be leading efforts on:

• Quantitative screens and analytics across the firm’s equities and equity derivatives book
• Backtests and signal frameworks for cash equities and equity derivatives
• AI-driven decision tooling for senior investment leadership
• Automated risk-monitoring (exposure, factor crowding, vol/skew, concentration)
• Ad-hoc analytical support for senior investment leadership
• Establishing and executing on recurring capital and fund management operational initiatives

What you’ll bring

• Background in quantitative research, strategist, or portfolio analytics focused on equities and/or equity derivatives; sell-side strats experience welcome
• Working knowledge of equities factor models, attribution, backtesting, and/or equity derivatives pricing
• Strong Python and SQL skills
• Hands-on experience applying LLMs and modern AI tooling to analytical problems
• Familiarity with Bloomberg or comparable market-data systems
• Excellent communication skills, both written and verbal, with full professional fluency in English
• Strong ownership and a track record of delivering results
• Self-starter, comfortable operating with ambiguity
• Nimbleness that is conducive to continuously being redeployed tactically to the firm’s highest ROI projects and requests

Who we are  
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The base pay for this role is expected to be between $175,000 and $225,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

#LI-LC1

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

We are looking for a Sr. UX Researcher who owns their space, moves quickly, and drives real product decisions within the secrets management space.

This role is the primary customer advocate for our password management capabilities. You will be responsible for identifying meaningful problems across this ecosystem, delivering actionable insights, and influencing what gets built. Success in this role means research is not just conducted; it is used to shape product direction and prioritization.

You will operate in a high-velocity environment where speed and clarity matter. This is not a role for someone who waits for requests or delivers academic-style research. You are expected to form strong points of view, challenge assumptions, and ensure the customer perspective is represented in key decisions, even in the face of strong opinions

This role offers high ownership, direct impact on product direction, and the opportunity to solve complex problems in enterprise secrets management, including credential storage, access workflows, and usability of security controls across both admin and end-user contexts.

What You’ll Do

• Own UX research for BeyondTrust’s password and secrets management capabilities
• Identify and prioritize high-impact problems across both administrator and end-user experiences
• Deliver fast, high-quality research that keeps pace with product development
• Translate insights into clear, actionable recommendations, not just findings
• Influence roadmap and prioritization decisions through evidence and strong point of view
• Partner closely with Product, Design, and Engineering to shape both problem definition and solution direction
• Act as the primary customer advocate in product discussions, ensuring user needs are represented across multiple user types
• Push back on assumptions and challenge decisions when they are not aligned with user needs
• Conduct end-to-end research using a mix of methods
• Synthesize qualitative and quantitative data to uncover high-impact opportunities
• Build strong relationships with PMs, designers, and engineers to ensure research is trusted and used
• Operate independently and manage multiple high-priority efforts without heavy support

What You’ll Bring

• 5–10 years of experience working on complex enterprise or B2B products
• Proven experience driving product decisions through UX research
• Strong working knowledge of enterprise software and complex administrative workflows
• Experience or familiarity with cybersecurity domains such as:
  • Password/secrets management
  • Credential storage, rotation, and lifecycle workflows
• Experience delivering both qualitative and quantitative research
• Demonstrated ability to operate at speed and deliver actionable insights
• Experience influencing stakeholders and navigating strong opinions
• Exposure to AI methods for expediting research

Nice To Have

• Excellent communication and storytelling skills
• Strong ability to influence without authority
• Comfortable working in fast-paced, evolving environments
• Highly self-directed and accountable
• Able to manage multiple priorities and deliver consistently

Who You Are

• You don’t wait to be told what to research: you identify the problems that matter
• You are comfortable forming and defending a point of view
• You prioritize clarity and impact over perfect methodology
• You know how to balance speed with quality
• You can navigate strong personalities and still advocate for the user
• You focus on outcomes, not just activities

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-DF1