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.

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.

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!

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.

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.

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 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

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 $49.04 - $53.37/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.

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

Senior UX / User Experience Researcher

Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry.

What we’re looking for

The Merchant Experience team is building a research practice within Shift4 Labs™ a customer-led product incubator purpose-built to design products that propel our Merchants forward. We are looking for an experienced, human-centered User Experience Researcher to support current product initiatives and establish the foundations of the Shift4 Labs design research practice. 

Our initial phase will be focused on establishing a nimble usability evaluation processes and formalizing our customer insights.  Ultimately, we hope to grow the research practice within Shift4 Labs to incorporate more generative research activities.  

The ideal candidate for this role is a highly skilled product researcher with a deep understanding of the role customer research plays in creating best-in-class experiences with an equal mix of usability and desirability. The candidate should have a balanced view of the relationship between customer needs and business goals and be able to articulate clear and practical insights to internal stakeholders.  

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL (preferred location) / Atlanta, GA / Center Valley, PA / Las Vegas, NV / Toronto, Canada

Relocation assistance may be available. 

Responsibilities

• Plan and implement necessary research initiatives based on product roadmaps and organizational initiatives.  
• Author and conduct various types of usability evaluations, including moderated, unmoderated, and prototype testing which may include  experiments, t-tests, A/B tests, and other data analysis.
• Apply diverse research methods such as interviews, surveys, contextual inquiries, ethnography, and diary studies to address key questions.  
• Facilitate workshops and collaborative sessions to assist customers in articulating business needs. 
• Create process flows, wireframes, mockups and functional prototypes to effectively communicate design strategies and detailed interaction behaviors. 
• Synthesize findings into clear, actionable insights and influence key stakeholders through storytelling and evidence-based recommendations.
• Help build product metrics measurement programs, platforms and reporting mechanisms to scale growing organizational needs.
• Develop and maintain a repository of research findings and standard methodologies to promote organizational learning and drive continuous improvements. 

Qualifications

• 7+ years hands-on of experience in UX research with a focus on usability testing and mixed-method studies.
• Excellence in evaluative research (e.g., usability testing, prototype validation, A/B testing).
• Excellent written communication, presentation, and interpersonal skills in English; the ability to communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization.
• Focused interest in growing into the generative research insights arena of UX. 
• Ability to independently drive multiple concurrent projects in an agile environment.
• Experience in complex B2B SaaS or enterprise platforms with multiple personas.  
• A robust portfolio showcasing prior research projects with both desktop + mobile research outcomes. 

Preferred Skills (Additional skills that are a plus to have):

• Working knowledge of Figma. 

#LI-BN1

Overview

Instacart’s UX Research Team uncovers the customer, shopper, and retailer insights that shape the future of grocery technology. We’re looking for a Senior User Researcher II to drive high-impact research across two priority areas: modernizing in-store retailer operations through our Connected Stores vision, including smart shopping cart experiences and emerging store technologies, and international research that deepens our understanding of grocery shopping behaviors in key markets.

In this role, you’ll shape in-store product and workflow improvements that make shopping and store operations more seamless, while contributing international insights that inform how we adapt Instacart’s offerings for different markets.You’ll collaborate closely with product, design, engineering, product operations, customer success managers, and partner insights functions (data science, market research, and voice of customer teams) to translate research into decisions at speed.

If you thrive in fast-moving, ambiguous spaces, enjoy rolling up your sleeves in the field, and love connecting qualitative nuance with quantitative signals, this role offers the opportunity to influence strategy and execution across digital and in-store experiences at scale.

About the Job

• Lead mixed-methods research to understand grocery journeys and in-store cart usage in priority markets, and how new technologies can modernize retailer operations and associate workflows. Turn findings into clear business opportunities for Connected Stores and Caper with product and strategy partners.
• Plan and execute evaluation and tactical studies to support EU post-launches, including usability tests, surveys, concept and prototype testing, and opportunity sizing.
• Conduct in-store research on smart cart and Connected Stores prototypes; coordinate with retailers and EU vendors to run safe, ethical, and repeatable field studies that drive rapid iteration.
• Define research plans, sampling strategies, and success metrics; ensure representative participant recruiting and high-quality data across countries and languages.
• Synthesize qualitative and quantitative data into clear, decision-ready narratives; influence senior stakeholders across product, design, engineering, and go-to-market functions.
• Manage external research partners and vendors in Europe, setting standards for quality, timelines, and budget while navigating time zones and local nuances.
• Scale research impact by building playbooks, templates, and repositories; mentor partners on lightweight, self-serve methods where appropriate.

About You

Minimum Qualifications

• 6+ years of hands-on UX research experience as an individual contributor in a product development environment.
• Proven mixed-methods expertise across qualitative and quantitative approaches (e.g., interviews, ethnography, diary studies, usability testing, surveys, behavioral analytics) with strong methodological rigor and sampling strategy.
• Strong judgment balancing methodological choice and time management to drive confident findings
• Demonstrated experience conducting research in Europe, including leading fieldwork or managing EU-based vendors; comfortable collaborating across EU time zones.
• Track record translating research into product strategy and execution for complex, multi-stakeholder products (e.g., enterprise, platform, or marketplace environments).
• Ability to independently scope, execute, and analyze studies end-to-end using industry-standard tools (e.g., survey programming and remote testing platforms; proficiency with spreadsheets and analytics dashboards; familiarity with SQL or similar is a plus).
• Exceptional storytelling and stakeholder management skills; experience presenting to senior cross-functional audiences and driving alignment on decisions.
• Willingness to travel domestically and internationally up to 20% for fieldwork, including in-store research.
• Authorization to work in the United States.

Preferred Qualifications

• Experience with enterprise/B2B software, retailer tools, or ads/marketing platforms.
• History of partnering with data science, market research, and voice-of-customer teams to build integrated, triangulated insights.
• Background researching connected retail, in-store hardware, or IoT devices; familiarity with safety, privacy, and operational considerations in physical environments.
• Familiarity with EU privacy and research regulations.
• Experience scoping and managing multi-country vendor engagements, including budget and quality oversight.

#LI-Remote

Overview

Instacart’s UX Research Team uncovers the customer, shopper, and retailer insights that shape the future of grocery technology. We’re looking for a Senior User Researcher II to drive high-impact research across two priority areas: modernizing in-store retailer operations through our Connected Stores vision, including smart shopping cart experiences and emerging store technologies, and international research that deepens our understanding of grocery shopping behaviors in key markets.

In this role, you’ll shape in-store product and workflow improvements that make shopping and store operations more seamless, while contributing international insights that inform how we adapt Instacart’s offerings for different markets.You’ll collaborate closely with product, design, engineering, product operations, customer success managers, and partner insights functions (data science, market research, and voice of customer teams) to translate research into decisions at speed.

If you thrive in fast-moving, ambiguous spaces, enjoy rolling up your sleeves in the field, and love connecting qualitative nuance with quantitative signals, this role offers the opportunity to influence strategy and execution across digital and in-store experiences at scale.

About the Job

• Lead mixed-methods research to understand grocery journeys and in-store cart usage in priority markets, and how new technologies can modernize retailer operations and associate workflows. Turn findings into clear business opportunities for Connected Stores and Caper with product and strategy partners.
• Plan and execute evaluation and tactical studies to support EU post-launches, including usability tests, surveys, concept and prototype testing, and opportunity sizing.
• Conduct in-store research on smart cart and Connected Stores prototypes; coordinate with retailers and EU vendors to run safe, ethical, and repeatable field studies that drive rapid iteration.
• Define research plans, sampling strategies, and success metrics; ensure representative participant recruiting and high-quality data across countries and languages.
• Synthesize qualitative and quantitative data into clear, decision-ready narratives; influence senior stakeholders across product, design, engineering, and go-to-market functions.
• Manage external research partners and vendors in Europe, setting standards for quality, timelines, and budget while navigating time zones and local nuances.
• Scale research impact by building playbooks, templates, and repositories; mentor partners on lightweight, self-serve methods where appropriate.

About You

Minimum Qualifications

• 6+ years of hands-on UX research experience as an individual contributor in a product development environment.
• Proven mixed-methods expertise across qualitative and quantitative approaches (e.g., interviews, ethnography, diary studies, usability testing, surveys, behavioral analytics) with strong methodological rigor and sampling strategy.
• Strong judgment balancing methodological choice and time management to drive confident findings
• Demonstrated experience conducting research in Europe, including leading fieldwork or managing EU-based vendors; comfortable collaborating across EU time zones.
• Track record translating research into product strategy and execution for complex, multi-stakeholder products (e.g., enterprise, platform, or marketplace environments).
• Ability to independently scope, execute, and analyze studies end-to-end using industry-standard tools (e.g., survey programming and remote testing platforms; proficiency with spreadsheets and analytics dashboards; familiarity with SQL or similar is a plus).
• Exceptional storytelling and stakeholder management skills; experience presenting to senior cross-functional audiences and driving alignment on decisions.
• Willingness to travel domestically and internationally up to 20% for fieldwork, including in-store research.
• Authorization to work in the United States.

Preferred Qualifications

• Experience with enterprise/B2B software, retailer tools, or ads/marketing platforms.
• History of partnering with data science, market research, and voice-of-customer teams to build integrated, triangulated insights.
• Background researching connected retail, in-store hardware, or IoT devices; familiarity with safety, privacy, and operational considerations in physical environments.
• Familiarity with EU privacy and research regulations.
• Experience scoping and managing multi-country vendor engagements, including budget and quality oversight.

#LI-Remote

About the Role

Snorkel AI is hiring Forward Deployed Researchers who will partner with frontier AI labs on their most challenging data problems. This is a high-impact, customer-facing role that combines deep technical and research credibility with strong presales instincts. You'll partner with customer research teams to design complex data and environments that improve frontier model performance, serving as a thought partner throughout the engagement.

You'll work at the critical intersection of research, technical strategy, and customer partnership. This includes scoping training data needs, designing RL environments and tasks, developing evaluation frameworks, probing model behavior and failure modes, and translating customer research objectives into actionable technical plans.

Main Responsibilities

• Partner with frontier AI research labs to design datasets and environments that improve model performance
• Lead technical conversations with customer researchers to understand model capabilities, failure modes, data requirements, and success criteria
• Probe model behavior through systematic evaluation to uncover weaknesses and identify high-impact data interventions
• Design evaluation frameworks, calibration processes, and quality rubrics that establish measurable project success metrics
• Develop technical specifications for data projects that balance research rigor with operational feasibility
• Serve as thought partner to customer research teams throughout the sales cycle, building trust and credibility
• Stay current on frontier AI research, RL environment design, post-training techniques, and evaluation methodologies

Preferred Qualifications

• Strong expertise in frontier AI concepts including LLMs, training data pipelines, evaluation methodologies, post-training techniques (RLHF, DPO, RLAIF), and domain areas such as coding agents, reasoning, multimodal models, or RL environments
• Experience in applied ML research, data science, or research-intensive technical roles
• Customer-facing or collaborative research experience, or demonstrated aptitude for client engagement
• Proficiency in Python and familiarity with ML frameworks and LLM APIs
• Excellent communication skills, ability to deliver technical presentations and explain complex concepts to diverse audiences
• Familiarity with data curation workflows, synthetic data generation, LLM-as-a-Judge, or evaluation framework design
• Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration
• B.S. in Computer Science, Machine Learning, or related field with 4+ years of experience in AI/ML research or technical roles; advanced degree preferred

Compensation

The salary range is $180,000 - $300,000 USD.

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly, offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Polar Operations LLC (dba IMC Markets) has multiple openings for Python Software Engineer (REQ#4461661101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Implement software features and components for IMC's trading systems (25%).
• Design software solutions independently and make architectural decisions (10%).
• Debug and fix software issues in trading systems (5%).
• Identify complex multi-component issues, perform root cause analysis, and implement preventative solutions (5%).
• Ensure code quality and system reliability through comprehensive automated testing (10%).
• Contribute to the automated testing framework, own critical trading system components, and ensure reliability, performance, and scalability across regions (5%).
• Participate in code reviews (10%).
• Monitor system performance and trading operations (5%).
• Collaborate with traders and other teams to understand requirements and deliver solutions (10%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Mentor and guide junior developers and interns, helping them understand IMC's systems and development practices (10%).

Partial telecommuting permitted. Multiple positions available. Requisition #: 4461661101

Your Skills and Experience

This position requires a Bachelor’s degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.

Must have at least one (1) year of experience in each of the following skill(s):

• Applying analytical and engineering techniques to solve complex problems programmatically;
• Programming with Python;
• Developing and implementing algorithms and data structures;
• Software development lifecycle and best practices;
• Designing and developing software applications in a collaborative, cross-functional environment;
• Experience with DevOps, databases, big data, or frontend frameworks;
• Experience with Docker, Kubernetes, and Linux environments;
• Experience working with financial data;
• Foundational knowledge of quantitative trading concepts and equity/index options;
• Exposure to web/API frameworks such as FastAPI and React;
• Experience with automated testing and CI/CD pipelines;
• Experience collaborating with trading desks and developing software for use in a quantitative trading environment;
• Experience with the following tools: Team City, JIRA ticket management, Gerrit code review tool, GitLab, uv, Gitlab CI, py-spy, memray, and Python Packaging; and
• Experience with the following libraries: Pandas, Polars, NumPy, Tensorflow, Scikit, scikit-learn, cvxpy, and Pytest.

#LI-DNI

Polar Operations LLC (dba IMC Markets) has multiple openings for C++ Software Engineer (REQ#4461662101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Implement software features and components for IMC's trading systems (25%).
• Design software solutions independently and make architectural decisions (10%).
• Debug and fix software issues in trading systems (5%).
• Identify complex multi-component issues, perform root cause analysis, and implement preventative solutions (5%).
• Ensure code quality and system reliability through comprehensive automated testing (10%).
• Contribute to the automated testing framework, own critical trading system components, and ensure reliability, performance, and scalability across regions (5%).
• Participate in code reviews (10%).
• Monitor system performance and trading operations (5%).
• Collaborate with traders and other teams to understand requirements and deliver solutions (10%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Mentor and guide junior developers and interns, helping them understand IMC's systems and development practices (10%).

Partial telecommuting permitted. Multiple positions available Requisition Number: 4461662101

Your Skills and Experience

This position requires a Bachelor’s degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.

Must have at least one (1) year of experience in each of the following skill(s):

• Applying analytical and engineering techniques to solve complex problems programmatically;
• Programming with modern C++ in a low-latency environment;
• Developing and implementing algorithms and data structures;
• Software development lifecycle and best practices;
• Designing and developing software applications in a collaborative, cross-functional environment;
• Experience with software development for hardware platforms;
• Experience collaborating with trading desks and developing software for use in a quantitative trading environment;
• Experience with the following tools: C++ standard library, Bazel, Team City, JIRA ticket management, Gerrit code review tool, Clang / GCC, GDB, MagicTrace/perf, Valgrind, and Compiler Sanitizers; and
• Experience with the following libraries: GMock/Gtest and Clang / GCC.

#LI-DNI

Polar Operations LLC (dba IMC Markets) has multiple openings for Software Engineer- Data (REQ#4461663101) in Chicago, IL and Brooklyn, NY.

Your Core Responsibilities

• Implement software features and components for IMC's trading systems (25%).
• Design software solutions independently and make architectural decisions (10%).
• Debug and fix software issues in trading systems (5%).
• Identify complex multi-component issues, perform root cause analysis, and implement preventative solutions (5%).
• Ensure code quality and system reliability through comprehensive automated testing (10%).
• Contribute to the automated testing framework, own critical trading system components and ensure reliability, performance, and scalability across regions (5%).
• Participate in code reviews (10%).
• Monitor system performance and trading operations (5%).
• Collaborate with traders and other teams to understand requirements and deliver solutions (10%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Participate in planning, estimate complexity of tasks, and help balance technical debt with feature development (5%).
• Mentor and guide junior developers and interns, helping them understand IMC's systems and development practices (10%).

Partial telecommuting permitted. Multiple positions available Requisition Number: 4461663101

Your Skills and Experience

This position requires a Bachelor's degree, or foreign equivalent, in Computer science, Computer Engineering, or a similarly quantitative and technical field and one (1) year of experience in the job offered or a related occupation.

• Must have at least one (1) year of experience in each of the following skill(s):
• Applying analytical and engineering techniques to solve complex problems programmatically;
• Programming with Java, C/C++, or Python;
• Developing and implementing algorithms and data structures;
• Software development lifecycle and best practices;
• Designing and developing software applications in a collaborative, cross-functional environment;
• Experience building Kafka streaming applications and maintaining Kafka clusters;
• Experience building applications/pipelines with Big Data backends (such as S3, HDFS, Databricks, or Iceberg);
• Experience with Apache Spark or Apache Flink; (9) Experience with common data-science toolkits;
• Experience with Kubernetes and Docker;
• Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie; and
• Unix scripting experience (such as bash or python).

#LI-DNI

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.

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!

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.

Optiver is expanding its Systematic Options Trading Team and seeking exceptional Quantitative Researchers and Traders to drive its next phase of growth. You’ll join a team at the forefront of designing and optimizing our automated systems that work autonomously or alongside our operational options traders. With significant resources, cutting-edge infrastructure, and a collaborative environment, you'll help shape the direction of our trading systems and execution models.

What you’ll do

• Design, develop, and refine systematic trading strategies to optimize market reactions, order placement, and execution in order to maximize trading performance
• Utilize modelling, machine learning, and other techniques to gather insights from data in this pursuit

What you’ll get

You’ll join a culture of collaboration and excellence, 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, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 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

• 3+ years of index options experience focused on systematic trading
• BS, MS, or PhD in a quantitative or technical field
• Strong analytical and mathematical skills, with a track record of applying them to trading problems
• Proficient in programming (Python, C++, or similar)
• Collaborative team player with experience working across departments and partnering closely with development
• A self-starter who identifies opportunities to make an impact

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 seeking Quantitative Researchers to join our High-Frequency Trading (HFT) Team, where we run fully automated trading strategies powered by Machine Learning. As part of this high-impact, collaborative team, you’ll play a key role in developing, improving, and executing trading strategies, directly shaping our research and execution pipeline.

What you'll do:

• Conduct alpha, signal, and feature research, developing models to enhance predictions and improve trading algorithms
• Collaborate with peers to review research, solve complex problems, and refine trading strategies
• Optimize research workflows to increase efficiency and effectiveness
• Contribute to strategic discussions, helping shape the future direction of the business

What you'll get:

You’ll join a culture of collaboration and excellence, 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, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 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:

• 2+ years of quantitative research experience on a successful futures/equities trading team
• Proven track record of developing profitable trading strategies, with strong analytical and mathematical skills
• Experience in computationally intensive research
• BS, MS, and/or PhD in a quantitative or technical field
• Proficiency in programming languages (C++, C, Python, Java)
• A highly collaborative team player, valuing diverse perspectives and building strong partnerships
• A self-starter who takes initiative, sets ambitious goals, and proactively identifies opportunities for impact

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 seeking Quantitative Researchers to join our High-Frequency Trading (HFT) Team, where we run fully automated trading strategies powered by Machine Learning. As part of this high-impact, collaborative team, you’ll play a key role in developing, improving, and executing trading strategies, directly shaping our research and execution pipeline.

What you'll do:

• Conduct alpha, signal, and feature research, developing models to enhance predictions and improve trading algorithms
• Collaborate with peers to review research, solve complex problems, and refine trading strategies
• Optimize research workflows to increase efficiency and effectiveness
• Contribute to strategic discussions, helping shape the future direction of the business

What you'll get:

You’ll join a culture of collaboration and excellence, 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, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 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:

• 2+ years of quantitative research experience on a successful futures/equities trading team
• Proven track record of developing profitable trading strategies, with strong analytical and mathematical skills
• Experience in computationally intensive research
• BS, MS, and/or PhD in a quantitative or technical field
• Proficiency in programming languages (C++, C, Python, Java)
• A highly collaborative team player, valuing diverse perspectives and building strong partnerships
• A self-starter who takes initiative, sets ambitious goals, and proactively identifies opportunities for impact

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.

Austin is home to Optiver’s main research, design and manufacturing facility for our custom trading system hardware. Fully understanding the components we use and the (exchange) environments in which our systems operate is critical to our success. We’re looking to expand the team with a quantitative researcher to help in hardware R&D.

With your quantitative skills and affinity for hardware, you’ll work with the engineers in the lab devising experiments, gathering data, running analysis and ultimately building an understanding of how things actually work. Using this knowledge to help to improve our designs, systems and the strategies that run upon them.

What you’ll do

You’ll be involved in a wide variety of tasks which focus around your quantitative skills and understanding of hardware. This is just a few of the things you’ll do:

• Design, build and run experiments to characterize hardware such as switches, routers and trading systems at picosecond scales
• Work with execution researchers at all of our offices to understand real world vs lab performance of our trading systems and strategies
• Work with our software engineers in the lab to scale out and automate your research such that we can apply it at a global scale
• Be part of designing the next generation of systems and strategies which take your findings into account
• Your experience with lab measurements makes you a valuable resource for anyone looking at production data or trying to improve our production captures
• Help run the lab, make sure we have everything we need to run upcoming experiments and manage the queue of work
• Be involved with suppliers to test and understand next generation systems and measurement equipment

What you'll get

You’ll join a culture of collaboration and excellence, 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, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• Highly competitive compensation package
•  Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 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

The ideal candidate combines a strong quantitative background with a deep understanding of hardware and can combine both of these skills to drive analysis that helps us improve our designs and strategies:

• You have a strong understanding of quantitative analysis methods and have the ability to present findings to others
• You are grounded in physical reality; you have an understanding of how hardware works and have the ability to use this knowledge to form hypothesis, conduct physical experiments and draw conclusions from that
• You are comfortable working with Python and Jupyter notebooks
• You’re not afraid to be hands on in a datacenter lab environment
• Programming experience in low level languages such as C/C++ or VHDL is a strong plus
• Experience with (low-latency) networks and related hardware is a strong plus
• An educational background in Statistics, Mathematics, Engineering, Computer Science, or similar (Masters/PhD preferred)
• A preference for working collaboratively with like-minded people
• A passion for solving problems and a drive for results

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.

Based in ‘The Domain’ neighborhood, Optiver’s Austin office serves as the firm’s innovation nucleus, with a strong focus on quantitative research, software, and hardware engineering initiatives. With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into systems, infrastructure, machine learning, big data and computing R&D efforts. What’s more, with world-class music, food and art scenes, as well as countless scenic outdoor activities, the quality of life for Austin Optiverians is second to none.

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 Chicago is seeking a seasoned Data Engineer to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake, translating experimental research workflows into scalable, production-grade systems.

As a critical engineering presence in Chicago, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle.

This role combines hands-on data engineering, cross-regional collaboration, and platform innovation—all within a high-performance, data-driven environment.

What you’ll do:

• Design, build, and maintain reliable ETL/ELT pipelines using Spark, Structured Streaming, Databricks, and our in-house high-performance tools
• Optimize and productionize research workflows with a strong focus on scalability, resilience, and performance tuning
• Collaborate with power users to develop and share reusable patterns, templates, and onboarding pathways
• Define, document, and enforce data engineering best practices
• Mentor junior engineers and drive a culture of continuous learning and DataOps excellence

What You’ll Get

• Immediate impact on the data systems powering world-class research and real-time trading decisions.
• A unique opportunity to shape Lakehouse engineering in the United States and influence global data architecture.
• High autonomy to own complex workflows and template “how-to” solutions across teams.
• Close collaboration with quant researchers and traders to unlock predictive insights and trading alpha.
• Partnership with best-in-class engineers across Chicago, Amsterdam, and Sydney.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 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:

• 5+ years of hands-on experience in data engineering, delivering robust pipelines at scale
• Advanced Python skills and deep experience with Apache Spark and the Databricks platform
• Familiarity with Delta Lake, streaming data systems (e.g., Kafka), and distributed compute environments
• Solid understanding of cloud-native data architectures (preferably AWS) and infrastructure cost optimization principles
• Proficiency in relational databases (e.g., PostgreSQL) and modern orchestration tools
• Bonus: Experience with system-level languages (e.g., C++, Rust) and exposure to MLOps or MLflow
• Proven ability to lead projects independently and deliver outcomes in fast-paced environments
• Clear communicator who collaborates well with researchers, traders, and engineers alike
• Enthusiastic mentor and strong advocate for engineering rigor and platform scalability
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline

Who we are:

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize 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 Chicago is seeking a seasoned Data Architect to support and advance the data capabilities of our local research team and contribute to our broader Lakehouse architecture vision. In this role, you'll work with cutting-edge tools like Databricks, Apache Spark, and Delta Lake, translating experimental research workflows into scalable, production-grade systems.

As a critical engineering presence in Chicago, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time insights, enable predictive analytics, and power decision-making across the trading lifecycle.

This role combines hands-on data engineering, cross-regional collaboration, and platform innovation—all within a high-performance, data-driven environment.

What you’ll do:

• Design, build, and maintain reliable ETL/ELT pipelines using Spark, Structured Streaming, Databricks, and our in-house high-performance tools
• Optimize and productionize research workflows with a strong focus on scalability, resilience, and performance tuning
• Collaborate with power users to develop and share reusable patterns, templates, and onboarding pathways
• Define, document, and enforce data engineering best practices
• Mentor junior engineers and drive a culture of continuous learning and DataOps excellence

What You’ll Get

• Immediate impact on the data systems powering world-class research and real-time trading decisions.
• A unique opportunity to shape Lakehouse engineering in the United States and influence global data architecture.
• High autonomy to own complex workflows and template “how-to” solutions across teams.
• Close collaboration with quant researchers and traders to unlock predictive insights and trading alpha.
• Partnership with best-in-class engineers across Chicago, Amsterdam, and Sydney.

In addition, you’ll receive:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 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:

• 5+ years of hands-on experience in data engineering, delivering robust pipelines at scale
• Advanced Python skills and deep experience with Apache Spark and the Databricks platform
• Familiarity with Delta Lake, streaming data systems (e.g., Kafka), and distributed compute environments
• Solid understanding of cloud-native data architectures (preferably AWS) and infrastructure cost optimization principles
• Proficiency in relational databases (e.g., PostgreSQL) and modern orchestration tools
• Bonus: Experience with system-level languages (e.g., C++, Rust) and exposure to MLOps or MLflow
• Proven ability to lead projects independently and deliver outcomes in fast-paced environments
• Clear communicator who collaborates well with researchers, traders, and engineers alike
• Enthusiastic mentor and strong advocate for engineering rigor and platform scalability
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline

Who we are:

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize 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.

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 Chicago and New York City 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.

Optiver is growing our Systematic Volatility Trading team and looking for an exceptional Quantitative Researcher to join us in the early stages. This is a rare opportunity to help define the direction of a fully automated options trading strategy, leveraging cutting-edge research to drive performance and profitability.

What you’ll do:

• Develop and refine alpha-driven strategies for fully automated options trading
• Research and implement novel signals, models, and execution techniques to optimize trading performance
• Play a key role in shaping the future of the team

What you’ll get:

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• A highly competitive compensation package
• Global profit-sharing pool and performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 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:

• 4-5+ years of quantitative research experience, focused on alpha generation in equity or index options
• BS, MS, and/or PhD in a quantitative or technical field
• Strong individual contributor who thrives in a fast-paced, high-ownership environment.
• Strong programming and data analysis skills (Python, C++, or similar)
• Ability to think differently, challenge assumptions, and identify unique trading opportunities
• Excited to be an early-stage team member, helping to build and scale a world-class systematic vol trading effort

Who we are:

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilizing the market no matter the conditions. With a focus on continuous improvement, we prioritize 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.

Job Title: Research Alliances Intern, External Research Engagement (Summer 2026 Internship) 

Position Summary:  

The Michael J. Fox Foundation for Parkinson’s Research (“MJFF”) is seeking top talent for an intern to support external research engagement efforts within the Research Alliances Department. The Research Alliances team builds and manages strategic partnerships with industry, nonprofit institutions, and other research stakeholders to advance MJFF’s scientific priorities and accelerate therapeutic development for Parkinson’s disease (PD).  

This internship will focus on strengthening MJFF’s external positioning within the global research community. The intern will work closely with Research Alliances and Research Marketing to assess how MJFF engages researcher and clinician audiences across scientific conferences, industry forums, and other external channels, and to identify high-impact opportunities to expand and refine that engagement.  

Over the course of the internship, the intern will conduct a comprehensive assessment of MJFF’s external engagement across scientific conferences and industry forums. This includes analyzing historical participation and return on engagement, evaluating audience reach and visibility strategies, and identifying gaps and opportunities to strengthen engagement. Historical tracking will draw from internal MJFF sources, including the Research External Meetings Tracker, which the intern will use to analyze trends and benchmark engagement efforts.  

In parallel, the intern will develop a working understanding of MJFF’s research priorities to ensure analyses and recommendations are aligned with the Foundation’s broader scientific strategy. The intern will synthesize insights into clear, actionable recommendations and contribute to the development of a structured external engagement roadmap to enhance MJFF’s positioning as a leading global research funder and strategic partner. 

Key Responsibilities:  

• Conduct research and competitive analysis on scientific conferences, industry meetings, and other external engagement platforms relevant to MJFF’s research priorities, including assessment of historical participation and return on engagement  

• Analyze internal tracking data (e.g., Research External Meetings Tracker) to evaluate trends in MJFF’s external engagement and inform strategic recommendations  

• Evaluate conference audiences, sponsorship opportunities, and visibility tactics to identify high-impact engagement opportunities and audience gaps   

• Develop a foundational understanding of MJFF’s research priorities and strategic initiatives to ensure alignment of analyses and recommendations   

• Support development of internal strategy documents and recommendations for external engagement activities   

• Contribute to the development of a structured external engagement roadmap aligned with MJFF’s strategic initiatives   

• Present final findings and recommendations to cross-functional stakeholders at the conclusion of the internship 

Qualifications and Skills:  

• Currently pursuing or recently completed a bachelor’s degree in Marketing, Communications, Business, Public Health, Life Sciences or a related field (or equivalent relevant experience); graduate students encouraged to apply  

• Demonstrated interest in healthcare, life sciences, nonprofit organizations or mission-driven work  

• Strong research and analytical skills, with the ability to evaluate information and identify key insights  

• Excellent written and verbal communication abilities  

• Ability to translate complex scientific or organizational information into clear, audience-appropriate messaging  

• Highly organized with strong attention to detail  

• Comfortable working independently while collaborating across cross-functional teams  

• Proficiency in Microsoft Office, particularly PowerPoint and Excel 

Job Title: Research Marketing Director (B2B Programs) 

Position Summary:  

The Michael J. Fox Foundation for Parkinson’s Research (“the Foundation”) is seeking top talent for its Research Marketing Director position.  Reporting to the SVP, Head of Marketing, this position leads marketing strategy and execution for the Foundation’s professional research audiences, including clinicians, academic researchers, industry partners, and scientific collaborators. This role builds and activates connected B2B communities through targeted marketing strategies, integrated campaigns, and strategic event support that advance key initiatives across the Science and Research community ecosystem.  This individual serves as the primary marketing partner to Research Programs & Partnerships leadership and ensures that marketing functions as a strategic driver across the full research ecosystem—strengthening engagement, promoting the Foundation’s initiatives, and catalyzing collaboration to accelerate better treatments and a cure.

This role requires a strategic thinker who is equally comfortable defining long-term audience engagement strategies and diving into execution—developing briefs, refining messaging, optimizing campaigns, and driving performance across channels. 

 Key Responsibilities:  

• Serve as the Marketing point of contact and strategic partner to Research Programs & Partnerships (RPP) Department Heads 

• Develop and execute comprehensive marketing and engagement strategies for B2B research audiences (clinicians, researchers, industry partners) 

• Drive both high-level strategy and hands-on execution, ensuring marketing plans are translated into actionable briefs, campaign assets, media plans, and measurable outcomes 

• Define audience segmentation, positioning, channel mix, and go-to-market strategies aligned to research priorities 

• Lead development of quarterly and program-level briefs to support B2B research initiatives 

• Oversee integrated media planning and execution across paid, owned, and earned channels 

• Lead marketing strategy and execution for B2B programs (T2P, T2T, PDTC, Edmond J. Safra Fellowship, MDS-PAS, PDRx, CAC, PDEC and sponsorship initiatives) 

• Partner with Creative and Communications on B2B content strategy, thought leadership, and campaign assets 

• Establish Key Performance Indicators (“KPIs”) and build learning agendas to improve researcher, clinician, and industry engagement 

• Manage agency relationships and external vendors supporting B2B marketing initiatives 

• Represent the Foundation’s Marketing team at scientific, clinical, and industry conferences and events 

• Continuously optimize marketing processes to ensure alignment with research and organizational goals  

Qualifications and Skills:  

• Proven marketing experience, with demonstrated success in B2B, healthcare, scientific, or professional audience marketing 

• Proven experience building engagement strategies for complex or highly specialized audiences 

• Strong understanding of integrated marketing, media planning, and performance measurement 

• Proven ability to partner effectively with senior stakeholders, cross-functional teams and agency partners.  

• Comfortable balancing strategic leadership with hands-on execution in a lean, high-impact marketing environment. 

• Experience supporting event marketing and scientific or industry conferences 

• Exceptional written and verbal communication skills, with the ability to translate complex scientific content into compelling marketing strategies 

• Strategic thinker with strong analytical and problem-solving skills 

• Passion for advancing scientific research and the Foundation’s mission 

About the Role

Schonfeld's Enterprise Data team is looking for a Market Data Analyst to manage the sourcing, licensing, and entitlements of market data across global vendors, exchanges, and brokers. You'll support Schonfeld’s quantitative, fundamental, tactical, and macro portfolio managers in managing access to datasets across multiple asset classes and regions.                                                                                                

What You’ll Do

• Oversee day to day user entitlements, usage tracking, and compliance with vendor agreements and exchange rules
• Manage vendor relationships (Bloomberg, LSEG, etc.), including licensing, onboarding, and cost optimization
• Help manage exchange audits and compliance queries, ensuring accurate usage reporting and timely resolution with vendors and internal stakeholders
• Maintain inventory accuracy within the Optimize Spend platform while driving cost transparency and consolidation opportunities
• Monitor data usage, troubleshoot discrepancies, and enforce data integrity controls
• Maintain documentation of data sources, workflows, and governance processes

What You’ll Bring

• Bachelor’s degree in finance, Accounting, or Business
• 2–5 years in market data, data operations, or a related role at a hedge fund, asset manager, or financial services firm
• Strong analytical and problem-solving skills
• Deep understanding of financial data, data vendors, and their licensing structures.
• Hands-on experience with Bloomberg EMRS, Refinitiv DACS, and Optimize Spend
• SQL and/or scripting experience is a plus
• Enthusiasm for leveraging AI tools to improve productivity and decision-making

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 $120,000 and $150,000. 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