The Role 

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

What you’ll do

Business Management

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

PM Onboarding & Lifecycle Management

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

Business & Performance Analytics

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

Project Management

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

Vendor & Data Management

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

What you’ll bring
What you need:

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

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

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

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

#LI-MM1

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

Your Core Responsibilities

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

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

Your Skills and Experience

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

Must have experience in the following skills:

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

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

#LI-DNI

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

Your future role within QRT:

We are seeking a Market Microstructure Researcher to help optimize exchange connectivity and interaction for our high-frequency trading strategies. You will analyse network and exchange protocols, automate performance metrics, and lead experiments to improve our trading operations, with a focus on latency-sensitive exchanges.

• Network & Protocol Analysis: Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance
• Exchange Research & Liaison: Research exchange features, attend presentations, and communicate with exchange counterparts to gather insights
• Execution Optimization: Reverse-engineer trading systems and design and conduct experiments to improve fill rates
• Cross-team Communication: Collaborate directly with trading and research teams to ensure best application of findings and direct PnL impact
• Data Analysis: Effectively work with large and robust datasets to identify and resolve inefficiencies in internal execution systems and exchange communication

Your present skillset:

• Degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data analysis and/or low-level systems and network engineering
• Strong skills in Python and time-series analysis
• Understanding of network protocols such as TCP/IP and Ethernet
• Familiarity with market microstructure and low-latency trading is a plus
• Advanced networking and GNU/Linux knowledge is a plus

Base salary range for this position is $180,000 to $260,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT:

• The successful candidate will join the Production Management team based in New York, providing high-touch support to the QRT trading desks and Risk managers with a dedicated focus on Risk and PnL systems.  
• QRT trades across all major EMEA and US markets, and this role sits at the intersection of technology and front office operations. 
• You will be the primary point of contact for the investigation and resolution of issues impacting real-time risk monitoring, daily PnL figures, and trade / positions reconciliation.  
• You will work closely with traders, quants, and finance teams to ensure the integrity and availability of risk and PnL data throughout the trading day and at end of day. You will also liaise with internal development, quant research, and external counterparties to maintain a stable and accurate production environment. 

Your present skillset:

• Real-time risk support: Monitor and support intraday risk systems, ensuring live Greeks, exposure, and limit utilisation data are accurate and available to the front office throughout the trading day 
• PnL production and reconciliation: Own the end-of-day PnL process, including identification and resolution of breaks between trader flash PnL and official finance PnL 
• Trade and position reconciliation: Investigate and resolve position breaks between internal systems, prime brokers, and exchange/clearing houses 
• Market data integrity: Ensure pricing and reference data feeds (EOD prices, vol surfaces, yield curves) used in risk and PnL calculations are correct and complete 
• Explain PnL attribution: Work with traders and quants to explain PnL moves by decomposing into risk factors (delta, gamma, vega, theta, etc.) 
• System availability: Ensure all risk and PnL components are operational before the start of each trading session; manage morning health checks and sign-off processes 
• Incident management: Lead investigation and resolution of risk or PnL discrepancies, communicating clearly with traders and senior management under time pressure 
• Process improvement: Develop scripts and tools to automate reconciliation, monitoring, and alerting workflows to reduce manual effort and improve accuracy 
• Release management: Support the deployment of risk system and PnL platform releases, validating output integrity before and after changes 
• Evening/weekend support: Provide on-call coverage for critical end-of-day and start-of-day processes, normally via remote access 

Essential 

• Minimum 2 years in a risk, PnL, or quantitative support role within a trading firm, hedge fund, or investment bank
• Strong understanding of risk metrics: delta, gamma, vega, theta, DV01, and portfolio-level exposure aggregation 
• Hands-on experience with PnL production workflows, including flash vs. official PnL reconciliation and attribution 
• Familiarity with financial instruments across at least two asset classes (Equities, Futures, Commodities, FX, Fixed Income)  
• Strong relational database skills – able to query and investigate data independently (SQL Server or Postgres preferred) 
• ~1 year of scripting experience in Python, Bash, or PowerShell for automation and investigation tooling 
• Excellent analytical and problem-solving skills with a methodical approach to root cause analysis 
• Strong written and oral communication skills – able to explain technical issues clearly to traders and senior stakeholders 
• High sense of ownership: proactive in following issues through to resolution without being chased 

Base salary range for this position is $150,000 to $220,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Quant Library Developer, Macro Technology.

A Career with Point72’s TECHNOLOGY TEAM

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.

What you’ll do

• Design, build, and extend core C# analytics services, APIs, and libraries used across the Macro business.
• Develop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability.
• Build real-time and historical analytics services supporting pricing, risk, and global market data workflows.
• Design and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases.
• Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.
• Contribute to API design, data modeling, and system architecture for shared analytics platforms.
• Integrate analytics services with batch and streaming data pipelines across research and trading workflows.
• Partner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities.
• Contribute to system reliability through testing, monitoring, and operational best practices.
• Participate in code reviews and technical discussions to improve design, performance, and maintainability.

What’s REQUIRED

• 3–10 years of experience developing production-quality backend software in C#, with a strong focus on distributed systems and APIs (REST/gRPC).
• Proven experience designing, deploying, and supporting backend services or platforms in cloud or hybrid environments .
• Strong understanding of distributed system design, including data modeling, consistency, and time-series or event-driven architectures.
• Hands-on experience with streaming and messaging systems, such as Kafka, and building scalable data pipelines with derived data generation and persistence.
• Familiarity with containerized environments, such as Kubernetes, and modern data and storage technologies.
• Solid grasp of SDLC best practices, including testing, code coverage, monitoring, and operational support in production systems.
• Experience with Python and exposure to C++, particularly in performance- or analytics-oriented contexts.
• Awareness of financial markets and instruments, including rates, FX, and derivatives, and how pricing and risk analytics are applied.
• Strong communication and collaboration skills, with the ability to work closely with investment professionals.
• Commitment to the highest ethical standards.

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully paid health care benefits
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $245,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

The mission of MongoDB Research is to advance the state of the art in database systems by conducting fundamental and applied research that directly impacts MongoDB's products. Our goal is to foster innovation that benefits MongoDB by addressing critical challenges in data management, performance optimization, security, scalability, and usability. Through collaboration, publication, and active engagement with leading research institutions, we strive to shape the future of database technology and ensure MongoDB remains at the forefront of innovation.

We seek an exceptional researcher specializing in database systems with particular expertise in database architecture, including query optimization, storage engines, indexing, and multicore processing. The ideal candidate will demonstrate a strong track record in designing and implementing highly performant database systems.

This role can be in-office, flexible, or based remotely in North America.

Responsibilities:

• Conduct innovative research in query optimization, indexing methods, storage engines, and performance optimization
• Design, prototype, and empirically evaluate novel database systems and architectures that leverage modern hardware features, such as SIMD parallelism, GPU acceleration, and multicore processing
• Collaborate closely with our Engineering teams to translate cutting-edge research into practical solutions applicable in commercial database products
• Publish influential research outcomes in top-tier database and systems conferences and journals (e.g., VLDB, SIGMOD)
• Build a Database Systems research group with a critical mass of 2-3 researchers over the next 1-2 years
• Mentor junior researchers, fostering a collaborative and productive research environment

Qualifications:

• Ph.D. in Computer Science, Computer Engineering, or a closely related field with a specialization in database systems
• 12+ years of experience applying computer science concepts to large scale software development problems, including databases and distributed systems
• Proven track record of impactful research publications in top-tier database and systems conferences and journals
• Demonstrated expertise in query optimization, efficient data structures, and high-performance database architectures
• Strong background in performance engineering, hardware-aware optimizations, and database engine internals
• Experience in building research prototypes and conducting rigorous empirical studies to validate theoretical models
• Excellent analytical, communication, and interpersonal skills, with the ability to collaborate across teams

Success metrics:

• Within the first three months, you will have established working relationships with key stakeholders across Product and Engineering
• Within the first six months, you will have completed a review of the company’s database roadmap and identified opportunities for research impact. You will have established a clear research agenda for the team
• Within the first twelve months, you will have successfully attracted and interviewed researchers to join the team 

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to 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 laws.

Req ID: 1263126935

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 

Role/Responsibilities:

The Cubist Business Management team manages all aspects of onboarding new systematic equity trading teams and systematic macro trading teams as well as deployments of new trading strategies.  The team also represents PMs with external counterparties and is responsible for rate negotiations, quant research vendor relationship management and trading relationship management. General responsibilities include, but are not limited to, assisting veteran Cubist Business Management team members along the following lines:

• Complete project lifecycle management launching new PM Teams into production
• Design PM research and trading solutions that adhere to firm standards
• Educate PM teams on Point72 operating procedures and technology integration
• Lead new strategy rollout projects internally with Technology, Operations, Legal, Compliance, and Risk groups, and externally with brokers, exchanges, and vendors
• Provide day-to-day support for various operational procedures such as broker data management, compliance monitoring, trading, and business continuity

The person in this role must have a technical background as well as good communication skills and a willingness to learn day-to-day trading and finance operations.  The candidate should have a good understanding of global market structure and electronic trading systems and have familiarity with trading rules and regulations or demonstrate an aptitude to learn. Familiarity with research and market data sources is a strong plus but not a requirement.

Job Requirements:

• This is a selective position. The ideal candidates will have a combination of software development and communication skills with some experience working in a financial services organization.
• A BS in finance, statistics, math, and engineering or computer science is strongly preferred. 2 years of relevant work experience is a plus.
• Must have the ability to assist veteran specialists while simultaneously managing multiple long-term and short-term projects independently under very tight project deadlines.
• Must have strong inter-personal skills, excellent time management skills and a team attitude
• Ability to clearly document technical specifications and articulate concepts in a less-technical fashion.
• Working experience in Python and SQL. Linux/Unix scripting (Perl, bash, etc.) a plus.
• Additional experience with database design is a plus.
• We support systematic trading in liquid instruments (global equities, futures, and foreign exchange) as well as systematic trading in macro instruments (e.g. bonds, rates, and credit). Candidates with specific work experience and knowledge of market regulations in these areas will be strongly preferred but not required.
• Working experience with digital currency exchanges, liquidity providers, derivative financial products, and business operations a plus.
• Commitment to the highest ethical standards.

Role/Responsibilities:

The Cubist Business Management team manages all aspects of onboarding new systematic equity trading teams and systematic macro trading teams as well as deployments of new trading strategies. The team also represents PMs with external counterparties and is responsible for rate negotiations, quant research vendor relationship management, and trading relationship management.  General responsibilities include, but are not limited to:

• Complete project lifecycle management launching new PM Teams into production
• Design PM research and trading solutions that adhere to firm standards
• Educate PM teams on Point72 operating procedures and technology integration
• Lead new strategy rollout projects internally with Technology, Operations, Legal, Compliance, and Risk groups, and externally with brokers, exchanges, and vendors
• Provide day-to-day support for various operational procedures such as broker data management, compliance monitoring, trading, and business continuity

The person in this role must have a strong technical background as well strong project management skills and experience with day-to-day trading operations.  He/she should have a good understanding of global market structure and electronic trading systems and have familiarity with trading rules and regulations.  In addition to strong technical skills, the candidate must have excellent communication/interpersonal skills and the ability to work as a team member or independently and to work with external and internal counter parties.  Familiarity with research and market data sources is a strong plus.

Job Requirements:

• This is a highly selective position. The ideal candidates will have a combination of software development and communication skills with some experience working in a financial services organization.
• A BS or MS in finance, statistics, math, and engineering or computer science is strongly desired along with preferably 5 years of relevant work experience.
• Must have the ability to independently manage multiple long-term and short-term projects under very tight project deadlines.
• Must have strong interpersonal skills, excellent time management skills and a team attitude
• Strong written and oral communication skills
• Working experience in Python and SQL.
• Familiarity with industry standards of server and storage hardware preferred.
• Additional experience with database design is a plus.
• We support systematic trading in liquid instruments (global equities, futures, and foreign exchange) as well as systematic trading in macro instruments (e.g., bonds, rates, and credit). Candidates with specific work experience in these areas will be strongly preferred.
• Working experience with digital currency exchanges, liquidity providers, derivative financial products, and business operations a plus.
• Commitment to the highest ethical standards

About Us:
Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:
DV Trading is seeking an experienced, high-performing trader to deploy and scale profitable strategies on a best-in-class proprietary platform. This role is designed for individuals with a demonstrated ability to generate alpha who are looking for greater autonomy, access to capital, and a high-performance environment without the constraints of traditional institutions.

The platform supports a wide range of experience levels—from highly established traders who operate independently end-to-end, to developing traders who may benefit from support in areas such as research, technology, or execution. Resources across quant research, engineering, and infrastructure are available to help accelerate strategy development and growth.

Job Responsibilities:

• Independently manage and scale a proprietary trading strategy
• Develop, refine, and optimize models, signals, and execution frameworks
• Take full ownership of risk, positioning, and P&L
• Leverage DV’s technology, infrastructure, and support to expand your book
• Collaborate with traders, quants, and engineers to enhance strategy performance

Requirements:

• Minimum 2+ years of experience at a proprietary trading firm, hedge fund, or bank
• Demonstrated, consistently profitable trading strategy (all asset classes considered)
• Proven track record of live performance (beyond backtesting)
• Strong return on capital (ROC)
• Experience contributing to or leading successful trading teams
• Ability to communicate effectively across functions, including leadership, risk, compliance, engineering, and legal

Benefits: 

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care Options
• Employer Paid Group Term Life and AD&D insurance
• Voluntary LTD, Life & AD&D insurance
• Flexible Vacation policy
• Retirement plan with employer match

Annual compensation range $100-200K base + profit share with meaningful upside

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Location: New York City | Team: Trading Technology | Type: Full-Time

As a market leader serving hedge funds, asset managers, and financial institutions, we are building a next-generation platform for high- and low-touch trading workflows across spot, derivatives, and structured products.

The Role

We’re looking for a Senior Trading Systems Developer with strong experience in low-latency Java and/or Rust to architect and build our next-generation trading applications and execution platform. This platform will be central to supporting complex electronic trading algos, such as automated market making and quant trading strategies.  You will work on the core components that sit on the hot path of our execution stack — including market-data ingestion, order management, risk checks, session control, and high-throughput venue connectivity. 

You’ll be designing and developing scalable, low-latency components that are resilient under heavy load and tightly integrated with our execution stack and internal trading infrastructure.

What You’ll Do

• Responsible for development of low latency services on Aeron, including OMS/EMS components, market-data pipelines, and venue gateway connectivity.
• Integrate with exchange APIs using FIX, REST, WebSocket, and venue-specific protocols.
• Model complex order lifecycles, state machines, and execution workflows into resilient, observable, fault-tolerant services.
• Design and maintain SBE message schemas and high-throughput message-bus communication on Aeron.
• Own full SDLC for your domain: design, test, ship, monitor
• Collaborate closely with quant, trading, infra, and data teams to ensure the execution stack meets performance, safety, and reliability targets.
• Operate in a fast-paced Agile environment, contributing to team structure, sprint planning, and execution cadence
  
  

What We’re Looking For

• 5+ years of experience in trading systems, ideally with prior design ownership
• Strong background in Java (11+) and/or Rust, including performance profiling, concurrency, lock-free programming, GC tuning, or memory-safe systems design.
• Experience in building EMS and execution systems that operate in microseconds latency rang
• Deep understanding of order state machines, execution workflows, and institutional trade lifecycle mechanics
• Strong experience with Aeron or other high-throughput messaging frameworks.
• Hands-on experience integrating with FIX, REST, and WebSocket APIs.
• Strong experience designing normalized schemas and working with relational databases (e.g., Postgres, MySQL)
• Experience with low-touch and high-touch trading workflows (MM, RFQ, internalization).
• Experience with middle and back office, such as booking, settlement and clearing
• Experience with Agile delivery, sprint planning, and team leadership
• Passion for clean architecture, maintainability, and performance
  
  

Bonus Points

• Prior experience in crypto markets or electronic trading in traditional finance.
• Experience integrating execution platforms with strategy containers, risk engines, or smart order routers.
• Knowledge of FIX protocol nuances and connectivity to major exchanges.
• Exposure to container orchestration, service mesh, or hybrid deployment architectures.

The base pay for this role is expected to be between $179,000 and $226,000 in New York City. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as location, skillset, experience, qualifications and the level at which the candidate is hired.

• Official Communication: We only communicate through official email addresses ending in @falconx.io. If you receive an email from a public domain (Gmail, Yahoo, etc.) or a lookalike domain, it is not from us.
• Official Channels: We will never conduct interviews via Telegram, WhatsApp, or Signal. Our process involves video or in-person meetings.
• No Financial Requests: FalconX will never ask you for money, "equipment fees," "training deposits," or crypto transfers at any stage of the recruitment process.
• Verification: All legitimate FalconX openings are listed on our official careers site: [Link to falconx.io/careers].

We are looking for more than a standard GAAP researcher; we need a Financial Architect who excels as both an investigator and an operator in this role as the Head of Technical Accounting & Financial Reporting.

You will lead the evolution of our financial reporting function during a period of significant institutional scaling. Reporting to the VP, Accounting, you will be pivotal in ensuring compliance with U.S. GAAP and SEC regulations while resolving complex accounting issues tied to novel digital asset products.

In this role, you aren’t just maintaining books - you are building a definitive 'source of truth' within a complex, high-velocity trading environment. This is a 50/50 split between serving as a high-level technical expert and a hands-on 'systems plumber,' bridging the gap between cutting-edge trading desks and institutional-grade, public-ready financial statements.

Responsibilities:

• Financial Normalization: Direct the forensic review and reconciliation of complex historical data to ensure a robust, "audit-ready" foundation.
• On-Chain Intelligence: Bridge the gap between raw custodial data and GAAP reporting, ensuring every transaction is traceable to its original source.
• Advanced Technical Research: Act as the internal authority on ASC 606 and 805, specifically regarding principal vs. agent nuances, M&A integrations, and DeFi yield protocols.
• Capital Markets Readiness: Lead the drafting of sophisticated financial disclosures and MD&A for potential registration statements and SEC engagement. Lead the drafting of S-1/F-1 prospectus disclosures.
• Global Systems Optimization: Design and implement SOPs for offshore teams while tightening the integration between our crypto sub-ledgers and NetSuite.

Target Experience:

• Background: Experience transitioning from Big 4 Audit/Technical Desks into Accounting Advisory (e.g., CFGI, FTI, EY, KPMG, FTI) or In-House Accounting at a high-growth digital assets firm, FinTech start up, broker dealer or Investment Bank.
• Reconstructive Mindset: You enjoy the "puzzle" of building legal entity financials from high-volume, unstructured data sources.
• Technical Stack: Proficiency in Workiva, NetSuite, and crypto sub-ledgers (Luca, TaxBit, or BitWave).
• Subject Matter Expertise: Direct experience with SEC Pre-clearance, Purchase Accounting (ASC 805), and DeFi Accounting.
• Product Diplomacy: The ability to partner with Trading and BizDev teams to assess the accounting impact of DeFi yields and "wrapped" assets before they launch.
• Leadership: Proven ability to create SOPs for offshore teams to improve month-end cadence.

Additional Information

• Flexibility to work across different time zones during crucial periods such as month-end closes.
• Ability to thrive under pressure in a fast-paced, dynamic environment.
• Commitment to continuous improvement and operational excellence.

The base pay for this role is expected to be between $230,000 and $291,000 in the New York City. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as location, skillset, experience, qualifications and the level at which the candidate is hired.

*Will need to be able to work East Coast hours.

• Official Communication: We only communicate through official email addresses ending in @falconx.io. If you receive an email from a public domain (Gmail, Yahoo, etc.) or a lookalike domain, it is not from us.
• Official Channels: We will never conduct interviews via Telegram, WhatsApp, or Signal. Our process involves video or in-person meetings.
• No Financial Requests: FalconX will never ask you for money, "equipment fees," "training deposits," or crypto transfers at any stage of the recruitment process.
• Verification: All legitimate FalconX openings are listed on our official careers site: [Link to falconx.io/careers].

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.

Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals.

As a Senior Account Executive at Via, you’ll lead regional Sales efforts across both public and private sectors to build an inclusive, sustainable, and tech-enabled framework for mobility. In this role, you’ll be creative and entrepreneurial to identify opportunities and generate new business in your own market.

This is a remote-first role based in the US East Coast. We're ideally looking for candidates in Miami or Atlanta, but are open to other locations. If you're based in New York City, this role will be hybrid from our Union Square office.

What You'll Do

• Identify prospective partners in your territory and build meaningful and durable revenue-generating relationships with a diverse group of prospective clients, from elected officials to private-sector business leaders. Lead execution and strategy for full-cycle Sales efforts across your territory, working to make transit better for your community, and your region’s communities. 
• Strategically navigate your market’s unique buying landscape using research strong analytical skills to build compelling, data-driven business cases for our platform and demonstrate our value proposition across a range of verticals..
• Be a thought partner to prospective clients by educating and consulting with them to develop regional transit plans and find funding mechanisms within your market. 
• Champion our mission and technology as the “face of Via” by leading local marketing campaigns, speaking at conferences, and providing consistent thought leadership in the mobility space.

Who You Are

• You have a minimum of 8+ years of client facing experience with a record of achievement in the Sales, Business Development, Consulting, or similar space
• An educator, collaborator, and thought partner: you enjoy consultative sales processes, and know how to use data to build a compelling narrative
• A skilled and methodical researcher: you’re attracted to complex problems, and you’re not afraid to jump into new environments.
• Intuitive communicator; whether in customer conversations, product presentations, or written proposals, you always strike the right tone and communicate persuasively.
• Superb commercial intuition and exceptional judgment -- you know when to push and when to yield in maximizing the value of a potential deal.
• A reliable, motivated self-starter with a passionate growth mentality. You enjoy fast-paced environments, aren’t deterred by setbacks or pivots, and thrive in roles requiring a very high degree of responsibility.
• An excellent team player; you’re a meaningful individual contributor, and a mentor to others on your team. You view successes as team efforts, and enjoy working with others.

Compensation and Benefits

• Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
• Salary Range: $145,000-$165,000
• We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.

Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals.

As an Account Executive at Via, you’ll lead regional Sales efforts across both public and private sectors to build an inclusive, sustainable, and tech-enabled framework for mobility. In this role, you’ll be creative and entrepreneurial to identify opportunities and generate new business in your own market. 

This is a remote-first role based in the US East Coast. We're ideally looking for candidates in Miami or Atlanta, but are open to other locations. If you're based in New York City, this role will be hybrid from our Union Square office.

What You'll Do

• Identify prospective partners in your territory and build meaningful and durable revenue-generating relationships with a diverse group of prospective clients, from elected officials to private-sector business leaders. Lead execution and strategy for full-cycle Sales efforts across your territory, working to make transit better for your community, and your region’s communities. 
• Strategically navigate your market’s unique buying landscape using research strong analytical skills to build compelling, data-driven business cases for our platform and demonstrate our value proposition across a range of verticals..
• Be a thought partner to prospective clients by educating and consulting with them to develop regional transit plans and find funding mechanisms within your market. 
• Champion our mission and technology as the “face of Via” by leading local marketing campaigns, speaking at conferences, and providing consistent thought leadership in the mobility space.

Who You Are

• You have a minimum of 4+ years of client facing experience with a record of achievement in the Sales, Business Development, Consulting, or similar space
• An educator, collaborator, and thought partner: you enjoy consultative sales processes, and know how to use data to build a compelling narrative
• A skilled and methodical researcher: you’re attracted to complex problems, and you’re not afraid to jump into new environments.
• Intuitive communicator; whether in customer conversations, product presentations, or written proposals, you always strike the right tone and communicate persuasively.
• Superb commercial intuition and exceptional judgment -- you know when to push and when to yield in maximizing the value of a potential deal.
• A reliable, motivated self-starter with a passionate growth mentality. You enjoy fast-paced environments, aren’t deterred by setbacks or pivots, and thrive in roles requiring a very high degree of responsibility.
• An excellent team player; you’re a meaningful individual contributor, and a mentor to others on your team. You view successes as team efforts, and enjoy working with others.

Compensation and Benefits

• Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
• Base Salary Range: $85,000-$110,000
• We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.

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

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

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

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

Responsibilities

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

Profile

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

Qualifications

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

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

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

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

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

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

Responsibilities

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

Qualifications

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

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

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

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

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

Profile

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

Qualifications

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

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

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

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

Qualifications

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

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

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

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.

The Experience Research team at Asana is on a mission to deeply understand the dynamics of modern work—how individuals collaborate, how teams operate, and how organizations scale. We partner with Product, Design, Engineering, and Go-to-Market teams to ensure every decision is grounded in a rich understanding of our customers. As a manager in our New York office, you will build a strategic talent engine, ensuring every researcher on your team is an influential partner in the product-shaping process. You'll be embedded with leadership in these fast-moving, high-visibility spaces—owning the roadmap from first principles and serving as the voice of the customer throughout the lifecycle.

Joining our newly formed NYC team, you will be a key architect for Asana’s next generation of persona-packaged products—our bet on what the next $100M+ line of business looks like. In this role, you will work from first principles to help define new primitives, not just features. You will scale your impact by mentoring a high-velocity team, fostering a culture of rigorous curiosity and helping them navigate the messy transition from raw insights to architectural mandates. You will explore how teams plan, sequence, and ship work in an AI-native world, turning ambiguous problem spaces into sharp, opinionated workflows that feel fast, minimal, and “obviously right” to high-performing teams.

This is a ground-floor opportunity to shape a new product category. You'll direct foundational and evaluative research across the full surface while building and managing Design Partner Groups, translating their feedback into actionable insights that directly inform strategy. If you thrive in ambiguity, care deeply about craft, and want your work to have an outsized business impact, this is the role.

This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you'll achieve:

• Own the end-to-end UXR roadmap for your area, identifying and prioritizing research needs in partnership with Product, Design, and Engineering leadership
• Lead foundational, generative, and evaluative research to ensure Asana is usable, desirable, and meets core user needs
• Build and manage a Design Partner Group (DPG): recruit members, plan and execute ongoing feedback sessions and studies, create insights reports, and maintain program operations, including incentive tracking and member rotation
• Drive future-looking research to understand the evolving developer landscape—including AI-native workflows, coding agents, role blending, and emerging tools—and translate those insights into strategic product recommendations
• Partner closely with cross-functional teammates to inform pre- and post-launch strategy, synthesizing qualitative and quantitative learnings to shape beta, V1, V2, and beyond
• Champion durable research frameworks as foundations for product thinking and innovation; elevate insights throughout the company to help teams understand impact and opportunity costs
• Contribute UXR expertise across the Align pillar, partnering with teams working on Strategic Planning, Reporting Foundations, Command Center & Goals, and Executive Dashboards to deliver discovery research, evaluative studies, and strategic insights that inform product direction in these cross-cutting areas
• Attend and contribute to design critiques and product reviews with a customer-empathy lens, rapidly applying learnings to identify issues and inform direction
• Coach cross-functional partners on high-quality research practices and help non-researchers self-serve on foundational insights
• Balance strategic, long-horizon research with tactical, just-in-time evaluative work in a fast-paced environment

About you:

• 8+ years of experience practicing UX Research for digital products, with 2+ years of experience managing or mentoring a team of researchers in a fast-paced environment.
• You don’t just execute a roadmap; you build a strategic talent engine. You have a track record of ensuring your team is an influential partner in the product-shaping process, moving beyond "service" research to architectural partnership.
• You thrive in ambiguity and enjoy defining new product primitives from first principles. You are comfortable navigating the "messy" transition from raw foundational insights to sharp, opinionated product strategy.
• You have deep expertise in a wide range of qualitative and quantitative methods, but you aren’t precious about the process. You have the experience to be "scrappy and crafty" when needed—knowing exactly how to lean on your intuition to navigate constraints and get to the right answer responsibly without a formal script.
• You are deeply curious about how emerging technologies and AI are reshaping human mental models. You can translate complex shifts in user behavior into durable research frameworks that inform long-horizon innovation.
• You are a persuasive communicator who builds high-trust relationships with Product, Design, and Engineering leadership. You enjoy "role-blending" to ensure the voice of the customer is the heartbeat of the development lifecycle.
• You can connect the dots across disparate product areas, identifying cross-cutting themes that impact the broader business while maintaining a high bar for craft and rigor.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

At Asana, we're committed to building teams with a variety of backgrounds, perspectives, and skills, as this is critical to achieving our mission. If you're interested in this role and don't meet all the listed requirements, we still encourage you to apply.

What we'll offer:

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $234,000 - $275,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

#LI-Hybrid

About Us:

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.

About the Role

At Grow, we are building products that support people’s mental health and overall wellbeing. We believe meaningful research is critical to creating experiences that are not only usable, but genuinely helpful and human-centered.

We’re looking for a mid-level User Experience Researcher who is comfortable working across qualitative and quantitative methods and thrives in ambiguous, fast-moving environments. You’ll partner closely with Product, Design, and Business teams to uncover insights that shape strategy, inform design, and improve user outcomes.

This role is ideal for someone who is passionate about understanding people, curious about the intersection of technology and mental health, and motivated to advocate for users in impactful ways.

What You’ll Do

• Design and execute end-to-end research using a mix of methods (e.g., interviews, usability testing, surveys, focus groups, field studies)
• Develop and prioritize research plans in partnership with product and business teams
• Conduct studies that uncover both user behaviors and attitudes
• Synthesize findings into clear, actionable insights that inform product strategy and design decisions
• Communicate research outcomes through compelling storytelling, presentations, and deliverables
• Collaborate cross-functionally with Product, Design, Content, Engineering, and Marketing to guide decision-making
• Advocate for users by bringing their needs and perspectives into product development
• Navigate ambiguity and manage multiple projects in a fast-paced environment
• Promote inclusive, ethical research practices, especially within the mental health space

What We’re Looking For

• 5–8+ years of experience in UX research, product research, or a related field
• Mixed method researcher with strong experience in qualitative and quantitative research methods
• Proven track record of conducting research that has influenced product, design, or growth decisions
• Ability to move between evaluative (tactical) and generative (strategic) research
• Experience working cross-functionally in product-driven environments
• Strong communication and storytelling skills to influence diverse stakeholders

You’ll Be a Great Fit If You

• Thrive in collaborative, high-growth environments and enjoy helping teams make better decisions
• Are deeply curious and care about people and their experiences, and motivated to solve complex user problems, especially in mental health, healthcare, or multi-sided platforms
• Are comfortable navigating ambiguity and shaping direction in fast-changing environments
• Balance research rigor with pragmatism to drive efficient, impactful outcomes
• Bring a strong point of view while remaining adaptable and grounded in evidence
• Are motivated by impact and want your work to make a meaningful difference

Why Grow

• Work on products that directly impact mental health and wellbeing
• Collaborate with a team that values diverse perspectives and inclusive research
• Help shape how research drives decisions in a growing organization
• Contribute to building more human, ethical, and supportive technology
  
  

  Employment Type: Full Time
  Base Compensation: The base compensation range for this position is $182,000–$227,000 USD
  This is a hybrid role with the expectation to work onsite from our NYC, San Francisco, or Seattle hub location three days per week (Tuesday, Wednesday, and Thursday) and travel 2–3 times per year (e.g., company and department offsites).
  The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate’s working location.

About the Role & Team
We are looking to expand our Media Sales team supporting theScore. This role will play a key role in expanding the media sales footprint, specifically in New York City Metro Area, leveraging direct ad sales product suite, sales rep skills and existing local network. You will partner with Sales leadership whose main office is based in Toronto.

About the Work 

• Formulate and execute a sales strategy to develop a pipeline, acquire new partnerships and grow existing partnerships 
• Maintain relationships with agencies and brands direct, understanding their objectives to advise and influence buying decisions 
• Prioritize in person hosting, presenting, and networking opportunities
• Educate prospects on the unique value of theScore through in-person and/or virtual meetings 
• Develop a media recommendation from agency/brand campaign briefs, defining appropriate objectives and advising the internal team on deliverables 
• Execute campaign management strategies, to ensure campaign KPIs are reached 
• Engage in relationship building events, including client entertainment to establish our brand and solutions to help drive sales 
• Maintain and grow assigned territory revenue making sure to deliver on sales goals 
• Other duties as required

About You 

• 2+ years of digital advertising sales or relevant experience 
• Established media agency/brand relationships 
• Proven track record of reaching sales targets and revenue goals 
• Strong knowledge of digital media environment 
• Excellent relationship building skills 
• Experienced presenter 
• Excellent communicator, written and verbal 
• In-depth understanding of advertising technologies, digital content, and industry dynamics 
• Detail-oriented, assertive self-starter, resourceful researcher

What We Offer

• The On-Target-Earnings (OTE) is $200K+ for this role, this includes base salary, as well as group and individual commission incentive. 
• Education and conference reimbursements
• Opportunities for career progression and mentoring others
  
  

 #LI-HYBRID

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.

What You’ll Do: 

As a Senior Product Marketing Manager focused on CoreWeave SUNK (Slurm on Kubernetes), you will be responsible for how CoreWeave positions and brings to market its research and training cluster offering for the most demanding AI workloads. SUNK is a core product within the CoreWeave platform, designed to support large-scale, long-running training jobs where reliability, predictability, and operational visibility are as critical as performance.

In this role, you will develop clear, differentiated positioning and messaging that presents SUNK as the best research cluster for AI training—a researcher-first system that preserves the Slurm workflows teams rely on while reducing the complexity of operating and maintaining large training environments. You will translate SUNK’s capabilities, including high-performance and topology-aware scheduling, automated cluster health management through Mission Control, and deep operational visibility, into narratives that resonate with AI research leaders, platform teams, and technical buyers.

You will operate independently within a defined product scope, partnering closely with product management and engineering to bring new SUNK capabilities to market. This includes shaping launch narratives, incorporating customer and competitive insight into messaging, and ensuring GTM assets reflect how research clusters are evaluated, deployed, and operated in practice. You will also collaborate with sales, solutions architects, and marketing partners to scale consistent, outcome-oriented messaging across customer-facing motions.

Success in this role requires strong technical fluency, sound judgment, and a bias toward execution. You will seek out insight from real research deployments, identify gaps in how SUNK is understood in the market, and iterate on positioning over time to improve clarity and effectiveness. You will use data and feedback to demonstrate how your work contributes to product adoption, deal progress, and competitive differentiation within the CoreWeave platform.

This role offers the opportunity to have a meaningful impact on how CoreWeave’s research and training capabilities are understood and adopted, helping research teams run their most critical training workloads with greater confidence and predictability.

Key Responsibilities: 

1. Positioning & Messaging

• Define differentiated positioning and messaging for CoreWeave SUNK as a core part of the CoreWeave platform, with emphasis on AI research and training workloads.
• Develop narratives and demos that clearly articulate when and why customers choose SUNK as the best research cluster for long-running, performance-sensitive training jobs.
• Create compelling launch moments and persona-based messaging grounded in real research and training use cases, competitive context, and customer evidence.
• Provide clear briefs and guidance to content and demand generation teams to scale SUNK messaging across the funnel.

1. Customer Proof

• Partner with customer-facing engineers, solutions architects, and customers to capture in-production use cases for CoreWeave SUNK in research and training environments.
• Create compelling case studies and customer validation assets that demonstrate outcomes such as reliability, predictability, and operational confidence at scale.
• Collaborate with content marketing to carry customer proof forward across campaigns, launches, and sales motions.
• Establish consistent mechanisms for capturing customer insight from high-value research cluster deployments.

1. GTM & Sales Enablement

• Equip Sales and Solution Architects with outcome-focused deal kits, battlecards, and technical content that support research- and training-focused sales motions.
• Develop clear competitive guidance that helps teams position SUNK versus alternative schedulers, Slurm environments, and Kubernetes-first approaches.
• Ensure consistent, credible CoreWeave SUNK messaging across customer-facing motions in alignment with the broader CoreWeave platform story.

1. Metrics & Measurement

• Deliver updated messaging and positioning materials.
• Demonstrate impact of internal GTM tools and assets with sales.
• Map product marketing’s impact on deal velocity and contract value.
• Demonstrate product marketing’s impact on platform adoption and retention.
• Improve competitive win rates in research- and training-related opportunities.

Who You Are: 

• 5+ years in product marketing, technical marketing, product management or GTM–ideally within cloud infrastructure, AI and machine learning, SaaS, or enterprise tech. 
• Strong technical foundation with ability to work directly with engineering teams and solution architects.
• Proven track record of developing or shaping demos, reference content, and narratives that translate complex training or research infrastructure into customer adoption.
• Experience working with customer journeys, use cases, and customer proof such as case studies or testimonials 
• Experience marketing platform or infrastructure products to research infrastructure, platform engineering, or highly technical buyer audiences.
• Familiarity with AI research or training systems involving schedulers, clusters, or long-running distributed workloads.
• Proven track record of successful product launches and scaled cross-functional marketing programs.
• Exceptional communication, influencing, and cross‑functional partnership abilities with both technical and executive audiences.

Preferred:

• Experience working with AI and machine learning products, platforms, or workloads.
• Familiarity with large-scale AI training or research environments, including long-running or failure-sensitive jobs.
• Experience marketing infrastructure or platform products related to schedulers, clusters, Kubernetes, or GPU-accelerated systems.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $161,000 - $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month? Spent on cluster setup instead of research. Building deployment scripts, fighting container images, wiring up job orchestration. They came to train models. Instead, they're doing operations.

This is the problem. We're building the Applied Training team to fix it.

You'll be an early member of a small team, responsible for our Kubernetes-native research cluster platform, or the sandbox client for agentic training and evaluation, or possibly a new project altogether. The goal is specific: Give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs.

About the role:

• Contribute to the roadmap for Applied Training. Figure out what actually unlocks new workloads and what's just nice to have. Work directly and closely with customers, and other teams inside of CoreWeave that are building cloud native primitives. Compute, storage, networking, etc.
• For the research cluster platform: design and build a complete research cluster experience. CLI, job configuration schema, Kubernetes operators, daemons. Solve the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control. Replace the patchwork of scripts customers keep building on their own.
• For sandbox infrastructure: own the Python SDK and work in a very tight loop with the backend team. When an RL training run needs to spawn thousands of isolated containers for agent rollouts, that's this system. When someone wants to run agent benchmarks at scale, that's this system. Make it work with our Kubernetes clusters, storage, and auth so researchers don't have to think about infrastructure.
• Write the documentation for running popular OSS training frameworks on CoreWeave. The work that can unblock customers and help them succeed.
• Work with infrastructure teams and customers directly. The customers are large AI labs running thousands of GPUs. Understand how they structure their internal supercomputing stacks. Bring that knowledge back to what we build.

Who You Are:

• 8-12+ years building distributed systems, ML infrastructure, or developer platforms.
• Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale. Not just deploying things to Kubernetes or cluster administration.
• Excited about rigorous engineering, but enabled by AI based workflows.
• You understand what makes researchers productive. Code distribution matters. Fast iteration cycles matter. Workflows that don't require becoming infrastructure experts matter.
• Familiarity with training: how distributed jobs get scheduled, how ranks initialize, what breaks at scale.
• You've shipped infrastructure that other people rely on daily. Not prototypes. Production systems.
• Good communicator. Can work with customers, translate researcher complaints into system designs.

Preferred:

• Experience building internal ML platforms or research clusters at a company doing large-scale training.
• Familiarity with agentic AI: RL training with rollouts, agent evaluation, sandbox isolation for running untrusted code.
• Background with Slurm, Ray, or similar workload orchestration. Opinions on where they fall short.
• Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms.
• OSS contributions to Kubernetes SIGs, Ray, PyTorch, or similar.

Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on storage technologies within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Storage product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on storage solutions
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking
• Deep understanding of storage/file system protocols and how to integrate them into infrastructure systems
• Proven experience describing storage concepts clearly, along with best practices and an understanding of the storage provider landscape

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to storage technologies
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on securing Kubernetes workloads within cloud infrastructure environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Security product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on securing Kubernetes workloads
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking
• Deep understanding of  administrating Kubernetes clusters  including controls such as RBAC, admission controllers, container security, etc.
• Proven experience describing security concepts clearly, along with best practices and an understanding of the security tooling landscape in Kubernetes environments 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to securing Kubernetes environments 
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on networking technologies within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Networking product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on infrastructure networking.
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Expertise with a broad range of networking technologies and topics, with a familiarity to understand the needs and use cases is it relates to securing and enabling high performance networking engironments.
• Experience with managing infrastructure networking, Kubernnetes CSI management, and private networking concepts
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to network technologies
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to Kubernetes clusters and workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on AI/ML workloads within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on AI/ML inference
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Deep expertise  with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Demonstrated experience with running large scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to AI/ML workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

The Mission

As CoreWeave continues to solidify its position as the Essential Cloud for AI, we are seeking a visionary VP of Product, Research Training Infrastructure. This executive leader will own the product strategy and engineering execution for the services that power the most ambitious AI research labs in the world. You will bridge the gap between "the metal" and the researcher, delivering a seamless, high-performance environment where frontier models are born.

The Role: Architect of the AI Factory

You will lead the product strategy of our Research Training Stack, focusing on the specialized orchestration, evaluation, and iteration tools required for massive-scale pre-training and post-training. This is a mission-critical role at the intersection of high-performance computing (HPC) and cloud-native agility.

Core Responsibilities

• Frontier Orchestration: Oversee the evolution of SUNK (Slurm on Kubernetes) to provide researchers with deterministic, bare-metal performance through a cloud-native interface.
• Holistic Training Services: Beyond Slurm, drive the development of next-generation orchestrators and automated training-based evaluation frameworks that ensure model quality throughout the lifecycle.
• Post-Training Excellence: Build the infrastructure required for sophisticated Reinforcement Learning (RL) and RLHF pipelines, enabling labs to refine foundation models with maximum efficiency.
• Customer Advocacy: Act as the primary technical partner for lead researchers at global AI labs, translating their "future-state" requirements into actionable product roadmaps.

Requirements: Deep Research & Infrastructure Mastery

• Proven Leadership: 15+ years of experience in engineering leadership, with at least 5+ years managing large-scale infrastructure at a top-tier research lab or an AI-native cloud provider.
• Domain Expertise: Deep, hands-on knowledge of Slurm, Kubernetes, and the specific networking requirements (InfiniBand/RDMA) for distributed training clusters.
• Research Mindset: You likely come from a background supporting frontier model research (pre-training and post-training) and understand the "pain points" of a research scientist.
• Scaling Experience: A track record of delivering mission-critical services on multi-thousand GPU clusters (H100/Blackwell/Rubin architectures).
• Strategic Vision: Ability to define "what’s next" in the AI stack, from automated RL loops to specialized sandbox environments.

Why CoreWeave?

In 2026, CoreWeave is the foundation of the largest infrastructure buildout in human history. We are building AI Factories, not just data centers.

• Silicon-Up Innovation: Work directly with the latest NVIDIA architectures.
• Impact: You will be the architect of the environment that enables the next new discovery.

Velocity: We move at the speed of the researchers we support, bypassing legacy cloud bottlenecks to deliver raw power.

The base salary range for this role is $233,000 to $341,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

A lab signs with CoreWeave. They have thousands of GPUs waiting. Their first month? Spent on cluster setup instead of research. Building deployment scripts, fighting container images, wiring up job orchestration. They came to train models. Instead, they're doing operations.

This is the problem. We're building the Applied Training team to fix it.

You'll be an early member of a small team, responsible for our Kubernetes-native research cluster platform, or the sandbox client for agentic training and evaluation, or possibly a new project altogether. The goal is specific: Give every CoreWeave customer the research infrastructure that currently only exists inside frontier labs.

About the role:

• Contribute to the roadmap for Applied Training. Figure out what actually unlocks new workloads and what's just nice to have. Work directly and closely with customers, and other teams inside of CoreWeave that are building cloud native primitives. Compute, storage, networking, etc.
• For the research cluster platform: design and build a complete research cluster experience. CLI, job configuration schema, Kubernetes operators, daemons. Solve the problems researchers actually hit: code distribution, checkpoint-triggered evaluation, cross-cluster scheduling, programmatic job control. Replace the patchwork of scripts customers keep building on their own.
• For sandbox infrastructure: own the Python SDK and work in a very tight loop with the backend team. When an RL training run needs to spawn thousands of isolated containers for agent rollouts, that's this system. When someone wants to run agent benchmarks at scale, that's this system. Make it work with our Kubernetes clusters, storage, and auth so researchers don't have to think about infrastructure.
• Write the documentation for running popular OSS training frameworks on CoreWeave. The work that can unblock customers and help them succeed.
• Work with infrastructure teams and customers directly. The customers are large AI labs running thousands of GPUs. Understand how they structure their internal supercomputing stacks. Bring that knowledge back to what we build.

Who You Are:

• 5-8+ years building distributed systems, ML infrastructure, or developer platforms.
• Real Kubernetes experience: custom controllers, operators, scheduling, CRDs, workload orchestration at scale. Not just deploying things to Kubernetes or cluster administration.
• Excited about rigorous engineering, but enabled by AI based workflows.
• You understand what makes researchers productive. Code distribution matters. Fast iteration cycles matter. Workflows that don't require becoming infrastructure experts matter.
• Familiarity with training: how distributed jobs get scheduled, how ranks initialize, what breaks at scale.
• You've shipped infrastructure that other people rely on daily. Not prototypes. Production systems.
• Good communicator. Can work with customers, translate researcher complaints into system designs.

Preferred:

• Experience building internal ML platforms or research clusters at a company doing large-scale training.
• Familiarity with agentic AI: RL training with rollouts, agent evaluation, sandbox isolation for running untrusted code.
• Background with Slurm, Ray, or similar workload orchestration. Opinions on where they fall short.
• Experience with container runtimes, isolation (gVisor, Kata), or serverless platforms.
• OSS contributions to Kubernetes SIGs, Ray, PyTorch, or similar.

Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

Who We Are

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K,  renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role.  If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

The Role

The Research Program Manager is a critical role within our Research Operations pillar. This individual is responsible for the health and scaling of our global research infrastructure, with a primary focus on owning our vendor ecosystem and compliance frameworks.

As a subject matter expert in the research lifecycle, you will operate with significant autonomy to identify and resolve complex operational issues. You will serve as the strategic liaison between the R&I team and our corporate partners in Legal, Finance, and Privacy to ensure our research is performed ethically, efficiently, and at world-class standards.

 What You Will Do

• Vendor Strategy & Management: Lead the end-to-end lifecycle for research agencies and tool providers, including selection, onboarding, and performance evaluation.
• Legal & Privacy Partnership: Act as the primary point of contact for T2 Legal and Privacy teams to manage agreements and ensure all data collection meets global compliance standards.
• SOW Governance: Lead the Statement of Work (SOW) process, ensuring clear project scoping, legal review via platforms like Ironclad, and team adoption of processes.
• Process Innovation: Design and implement scalable systems for research participant recruitment, platform licensing, and internal knowledge management.
• Financial Stewardship: Partner with Finance and ExDev teams to manage PO initiation, track project billing across various titles, and supervise resource utilization.
• Cross-Functional Leadership: Provide expert guidance to researchers on procedures for third-party collaboration and operational workflows.

 Who We Believe Would Be an Excellent Fit

• Operational Expertise: Extensive professional experience in research operations, program management, or a related field, with a consistent record of running high-complexity projects.
• Compliance Mastery: Deep familiarity with research ethics, data privacy regulations (e.g., GDPR, CCPA), and the legal nuances of third-party vendor contracts.
• Collaborative Influence: Outstanding ability to establish relationships and navigate a sophisticated interpersonal structure, specifically with Legal and Finance partners.
• Research Fluency: A strong understanding of various research methodologies (Qual, Quant, UXR) to better anticipate vendor and tooling needs.
• Problem Solver: A resourceful person who can spot challenges in the research process and build sophisticated, scalable solutions.

 Preferred Skills & Resources

• Experience with research-specific tools such as Alchemer, Qualtrics, or User Interviews.
• Experience with legal tools and software such as Ironclad.
• Familiarity with project management and documentation tools like Confluence, Airtable, or Jira.
• A passion for the gaming industry and an interest in how player insights drive game development.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. 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.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.

The pay range for this position in New York at the start of employment is expected to be between $85,700 and $126,860 per Year . However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program.

Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

#LI-Onsite
#LI-Hybrid

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

DRW is looking for Quantitative Researchers to join our expanding Mid-Frequency Systematic Trading team in New York City.

Responsibilities 

• Apply statistical and machine learning methods across diverse datasets to build trading models that capture novel signals in market behavior.
• You will contribute across the full strategy lifecycle — from alpha research and signal generation to portfolio optimization and execution logic.
• You will prototype new ideas, investigate strategy components, and write production-quality code to bring them to life.
• We're a highly collaborative team that moves quickly and holds a high bar for rigor. We invest in mentorship and hands-on guidance to help you ramp up and grow.

Qualifications 

• 2+ years of prior work experience in statistical arbitrage or systematic trading research
• Proven ability to conduct research with large, noisy real-world datasets
• Strong programming skills, with proficiency in Python for data analysis and machine learning. Experience with C++ a plus but not required
• Degree in a quantitative or technical discipline, such as statistics, computer science, physics, mathematics or economics. All levels welcome, from bachelor's to doctorate
• Deep-diving, detail-oriented thinker with a strong bias for action and ability to excel in a fast-paced environment
• Ability to own and drive open-ended problems, explore novel approaches, and communicate complex ideas clearly

The annual base salary range for this position is $200,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-AC] 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are seeking a Quantitative AI Strategist to join our quantitative analytics team. This is a front-office role at the intersection of quantitative finance, AI, and product development — focused on building and evolving the firm’s AI-powered research and analytics platform.

The platform helps traders, researchers, analysts, and risk managers move from questions to actionable insight by unifying analytics, data, and research. Your job is to make it indispensable — by working directly with trading desks to understand their workflows, building the quantitative and AI capabilities they need to generate better ideas and make better decisions, and partnering with software engineers to deliver them at production quality.

You will have broad exposure across asset classes, desks, and problem types — from signal generation and backtesting to risk analysis and research analytics — while working at the frontier of applying AI to quantitative finance. The ultimate goal is to help the firm generate more revenue through AI-assisted trading and research.

The ideal candidate will be able to:

• Work directly with trading desks across asset classes and other stakeholders across the firm to identify high-value use cases for the platform.
• Determine the right balance between AI autonomy and structured tooling — deciding what the AI should reason through on its own, what instructions and domain knowledge it needs, and what purpose-built code it should call — and build accordingly.
• Work with front-office stakeholders to turn desk needs into well-defined quantitative problems/workflows, and collaborate with technology teams and quantitative researchers to deliver solutions.

Key Responsibilities:

• Prototype and validate quantitative workflows end-to-end — from data retrieval and signal construction through to strategy evaluation, PnL simulation, testing, and risk/scenario analysis — while defining how the AI should interact with data sources, analytics libraries, desk-specific tools, etc., and work with engineers to deliver them as production platform capabilities.
• Write high-quality platform code and quantitative libraries — including code designed to be called and understood by AI, with clear interfaces, documentation, and instructions to AI.
• Enhance the platform’s ability to reason about markets, interpret financial data, and produce reliable, contextually aware analysis across products and markets.
• Continuously evaluate how the platform is used, identify where it excels and where it falls short, and drive improvements that deliver measurable value to trading and research workflows.
• Engage with stakeholders across the firm — trading desks, risk management, researchers, new joiners, and others — to discover emerging use cases and adapt the platform’s capabilities accordingly.
• Proactively identify new use cases and capabilities as AI technology evolves.
• Act as the first line of quantitative support for platform users — diagnosing issues, feeding insights back into platform development, and ensuring a high-quality user experience.

Qualification and Experience:

• Background in quantitative finance, financial engineering, applied mathematics, statistics, physics, computer science, or a related technical field.
• 3–7 years’ experience in a front-office quant, strategist, or quantitative research role, ideally with exposure to multiple asset classes.
• Solid understanding of financial markets, pricing/risk methodologies, and PnL attribution.
• Experience building or contributing to internal analytics platforms or tools used by traders and researchers.
• Experience with signal generation, backtesting, or systematic strategy development.
• Strong programming skills in Python. Familiarity with Git and collaborative development workflows.
• Familiarity with AI technologies and their application to quantitative workflows is a strong plus.
• Experience building AI agents is a strong plus.
• Excellent communication skills — able to engage directly with trading desks to understand their needs, formalize them into quantitative specifications, and collaborate effectively with software engineers.
• Strong problem-solving ability, intellectual curiosity, and comfort working across team boundaries in a fast-paced trading environment.
• Strong ability to quickly learn and adapt to new technologies — particularly important given the rapid pace of development in AI.

The annual base salary range for this position is $175k to $250k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-SK1] 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus

We are seeking a Quantitative Researcher with 3–5 years of experience to develop and improve systematic trading signals using machine learning and statistical methods. The role focuses on non-linear signal modeling, regime-aware frameworks, and the integration of new data sources into existing research and risk systems. The researcher will work closely with traders and other quants, with clear ownership and direct impact on live trading.

· Design non-linear signal combination frameworks, improving upon existing linear and mean-variance approaches.

· Build regime-aware models and conditional signal frameworks based on market states (e.g., volatility, correlations, risk conditions).

· Research, develop, and validate machine learning–based trading signals on intraday and daily data.

· Integrate signals into risk sizing, portfolio construction, and optimization frameworks.

· Work closely with traders and infrastructure teams to transition research into production.

· 3+ years of experience in quantitative research, systematic trading, or applied ML in financial markets.

· Strong foundation in machine learning, statistics, and optimization with advance degree (masters/PhD)

· Proficiency in Python and common data/ML libraries

· Experience working with time-series data and building predictive models.

· Strong analytical skills and ability to communicate results clearly to trading teams.

The annual base salary range for this position is $200,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-AC] 

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

What You’ll Do

As Brand Manager, Entertainment you’ll be responsible for helping manage and lead the direction of Authentic’s Entertainment brands, ensuring their continual growth and viability in the global market. You’ll lead and oversee relationships with global licensees ensuring that they are equipped and prepared to deliver on the brand vision, all of which drives achievement of financial targets.

What you’ll be working on:

Drive brand performance

• Engage, inspire and galvanize the organization around the brand vision, position and strategies so licensees are clear in bringing them to life in their areas of functional expertise.
• Own, in collaboration with key internal partners, the vision, position, and architecture of your brands. Leverage all brand components to drive awareness, growth and financial performance. 
• Manage and coordinate brand activity across the various functions including business development, marketing, finance, legal and other functions as needed.
• Maintain brand integrity across product lines, advertising, and all other internal and external communication as it pertains to assigned brand/pillar.
• Work with the Creative team on asset development, partner presentation and pitches as well as branded support materials on a global basis.
• Oversee financial reporting for all partners, including AR and royalty tracking.
• Lead seasonal and annual forecasting to support budget achievement.

Manage licensee partner relations

• Consolidate and organize key business development tools for licensees (i.e. product catalogs, marketing plans, sales forecasting).
• Partner closely with each licensing partner to understand respective business models and product development cycles to drive retail profitability.
• As needed, act as key liaison to facilitate relationships between licensee(s), retailers and other Authentic opportunities on a global basis.

Drive brand development

• Work in tandem with EVP, Directors, and other brand stakeholders to map out product and category strategies that sustain and grow the brand globally.
• Build and maintain organized processes for internal communication, alignment and timely delivery of deliverables to partners and talent.
• Maintain excellent communication and relationships with talent stakeholders and respective teams to ensure best in class support for all branded initiatives.
• Identify retail and product trends, prospective new categories, distribution and partners to build the brand awareness globally.
• Assist in negotiating new licensing agreements; participate in key sales and marketing presentations as necessary.
• Identify NIL and endorsement opportunities that will build the brand awareness and enhance the overall brand perception on a global basis.
• Support business development globally by concepting new brand pitches, storytelling and expansion opportunities.
• Develop and refine consumer target segments mapping in trends and other data to develop category growth and expansion plans.

Facilitate effective licensing operations

• Participate in brand strategy discussions and in setting a bulls-eye consumer target. Analyze consumer trends and information and help identify product categories to enter as future sources of growth.
• Assist in overseeing the direction, implementation, execution and continuous improvement of the licensing processes including but not limited to product approval and sku management, and photographer archive administration.
• Manage legal operational support including amendments, contract renewals, customs clearances, trademark management and all relevant support documentation.

Must Haves:

• 3+ of experience in merchandising, business development, brand marketing or licensing program management.
• Fluency in Spanish (written and verbal) — required for daily communication with Spanish-speaking brand stakeholders.
• Music industry experience in talent management and/or brand building for talent. 
• Bachelor’s degree in a relevant field or commensurate work experience. 
• Proven experience in brand management, with a strong background in merchandising, fashion licensing, and global brand strategy.
• Possesses a strong understanding of how product licensing deals are identified and negotiated.  
• Is experienced managing licensing deals in a variety of product categories.
• Is a great researcher who stays up-to-date on the latest trends in celebrity branding and product opportunities. 
• Has a hands-on background with forecasting, budgeting, and analyzing royalty revenue data.
• Is an excellent communicator; verbal, written, and in the room.
• Exhibits excellent attention to detail, is organized, and has a bias for action.
• Must have strong computer proficiency and working knowledge of MS Office. (Word, Excel, PowerPoint, etc.)
• Works well independently.

Primary Location Salary Range:

$85,000 - $95,000

About the UX research team

UX research at Anthropic is a small team with outsized leverage. We work across products used by millions of people—and on interactions that don't have established conventions yet.

We inform critical decisions through rigorous research, with stakeholders who eagerly incorporate findings into their work. Research has a seat at the table for product strategy, and we partner closely with design, product, and engineering. We combine qualitative and quantitative methods to understand user needs in a space that's evolving faster than anyone can track.

We move fast, favor impact over polish, and increasingly build our own tools—often with AI doing the heavy lifting—to do research at the speed this environment demands.

About this role

This is a senior individual-contributor role. You'll own research for a complex, fast-moving product area where the surface is expanding quickly and the most important user questions haven't been articulated yet, let alone answered.

You won't work from a fixed research roadmap. You'll prioritize constantly—making clear, well-informed bets about what to learn next, executing on them fast, and pivoting the moment the picture changes. Our product teams are deeply technical and move on instinct; your job is to make that instinct better-calibrated without slowing it down.

Roles here are fluid. On any given week you might be the researcher, the analyst, the one framing the next product bet, or the one building a prototype because that's the fastest way to find out.

Where this role lands depends on team needs and your strengths—we'll figure that out together.

Responsibilities

• Set the research agenda for a product area where the strategic questions are still fuzzy. Define what we need to learn, in what order, and why—then go learn it. Don't wait to be asked
• Design and run mixed-methods research at whatever fidelity the moment calls for. Some of it will be careful, foundational work the team references for a year. Some of it will be a finding you ship the same day the question came up
• Keep product teams close to users in a rigorous way—building the channels, cadence, and evidence base that make user reality hard to ignore
• Get hands-on with product data. Pull your own samples, build your own dashboards, instrument what's missing
• Prototype when prototyping is the fastest path to an answer—a research tool, a survey pipeline, a scrappy version of a feature to put in front of users
• Deeply leverage AI in how you work—using Claude to make yourself dramatically more efficient at analysis, synthesis, tooling, and everything in between
• Use what you study. Dogfood our products hard enough to develop your own informed opinions, and bring that texture into your research
• Anticipate where the product is heading before anyone asks. Show up with the user understanding the team is about to need
• Turn what you learn into recommendations confident enough to redirect a roadmap—including recommending we kill something that isn't working
• Build durable understanding, not just findings. The goal is that PMs, designers, and engineers internalize the user mental model well enough to make good calls when you're not in the room
• Develop new research methods when the existing playbook doesn't fit—particularly methods that use AI to do things that weren't possible before

Qualifications

• Industry UX research experience, including ownership of research strategy for a product or product area
• Track record of research that shifted product direction at the strategy level, not just the feature level
• Deep mixed-methods expertise—qualitative and quantitative
• Enough data fluency to use Claude to work directly with our data warehouse—pulling your own samples, writing your own queries, running your own analyses
• Demonstrated technical range: you've built research tooling, prototyped, scripted analyses, or otherwise shown you can keep up with very technical teams without translation overhead
• Advanced, hands-on use of AI in your own research workflow—you're already taking full advantage of its capabilities to enhance how you work
• Experience embedding with engineering-led product teams that ship fast, and earning influence in that environment
• Excellent storytelling, calibrated to audience. You can discuss a finding with an exec as effectively as with an engineer

We are seeking a Portfolio Manager to manage risk and generate returns while utilizing cutting-edge agentic AI solutions within our Quantitative Trading divisions. This role sits at the intersection of Portfolio Management and Artificial Intelligence, requiring active engagement with autonomous cognitive systems for strategy development.

As a Portfolio Manager focused on Agentic Systems, you will manage a live trading book while working with cognitive reasoning architectures that enable autonomous systems to solve complex financial problems and reason through multi-step solutions. You will utilize and interact with agentic systems including planning algorithms, memory architectures, reflection mechanisms, and collaborative reasoning patterns that support autonomous decision-making in quantitative trading environments. You will adjust hyperparameters of reinforcement learning training processes to optimize system performance and contribute to deep learning model development for the PM model layer and custom agentic workflows.

• Portfolio Management: Take risk, manage P&L, and make trading decisions within defined risk parameters while developing expertise in quantitative portfolio management principles
• Agentic Systems Utilization: Deploy and work with cognitive reasoning systems for quantitative modeling problems, leveraging planning, tool use, memory, reflection, and collaboration capabilities
• Reinforcement Learning Tuning: Adjust hyperparameters of reinforcement learning training processes to improve autonomous system performance and decision-making quality
• Model Development: Contribute to deep learning model building for PM model layer applications specific to portfolio management objectives
• Custom Agentic Development: Build and customize agentic workflows and tools tailored to portfolio management needs and specific trading strategies
• Human-in-the-Loop Oversight: Execute human-in-the-loop decisions and checks ensuring that traded strategies meet quant trading acceptance criteria

This position combines portfolio management with cutting-edge agentic AI technology. Your work will directly impact:

• Research-to-production cycles for quantitative strategies
• Complex, multi-step financial workflows through autonomous systems
• Enhanced decision-making through human-AI collaboration

This role offers the unique opportunity to develop as a portfolio manager while shaping the future of quantitative finance through the strategic utilization of agentic AI systems that solve complex financial problems and drive measurable business value.

What You’ll Bring:

• Advanced degree in a quantitative field (Computer Science, Mathematics, Physics, Statistics, Engineering, or related discipline)
• Minimum of 10 years of experience, PM experience is not required but preferred
• Familiarity with financial markets
• Experience with python-based deep learning model development
• Willingness to learn portfolio management discipline, including P&L responsibility and risk management
• Hands-on experience with agentic AI frameworks
• Deep knowledge of the core capabilities of agentic systems: planning, tool use, memory, reflection, and collaboration
• Experience applying reinforcement learning methodologies to develop autonomous systems that learn and improve through policy optimization, reward modeling, and outcome-based feedback loops
• Ability to adjust hyperparameters and tune training processes for reinforcement learning systems

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The Base Pay Range For This Position Is 150,000 USD.

At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.

#LI-JB1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record)
• Autonomy to build your own research pipeline and grow your team

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++
   

The Independent Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Meaningful allocation with growth potential based on performance and scalability
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Opportunity for select engagement with the CIO Office in support of your research and strategy development

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
  • twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month,
  • three personal days, and
  • ten sick days.
• Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The Base Pay Range For This Position Is $150,000 – $200,000 USD.

At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.

#LI-JG1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++

The Book Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
  • twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month,
  • three personal days, and
  • ten sick days.
• Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The Base Pay Range For This Position Is $150,000 – $200,000 USD.

At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.

#LI-GO1
#LI-JG1