Process Integration And Defect Reduction Engineer in New York

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Mobile Core team develops frameworks and tools that empower engineering teams across Twitch to build compelling mobile experiences. In this role, you will directly contribute to creating and refining core features, such as Video Playback, while architecting strategic solutions for internal developers. Twitch is evolving its mobile strategy from native-first to a hybrid approach that leverages React in WebViews alongside native iOS capabilities. You'll work on high-impact initiatives including our hybrid web-to-mobile platform, performance optimization at scale, automated testing infrastructure, and developer tooling that accelerates velocity across the organization. You will report to the Senior Engineering Manager for Mobile Core iOS and can work from either our Seattle, Irvine, San Fran

Head of Talent Acquisition Location: New York, NY, onsite 5 days per week Role type: Full time Reports to: President The Role Flowcode builds the infrastructure that turns real world touchpoints into measurable, actionable first party IDs, enabling F500 brands to personalize consumer experiences at scale. One of Flowcode’s founding principles is “the product is the team, and the team is the product.” We treat hiring with the same level of rigor we apply to product development. We have an extremely high hiring bar (the “pinhole process”), which to date we have applied by brute force. Our CEO, President and our executive team each personally read resumes, sit on interview loops, and close candidates. It works. But it also means our hiring speed is capped by the calendars of the ten busiest people in the company, and our pipeline stops the moment one promising candidate appears. We are not hiring a coordinator, a req-filler, or a "people partner who also does recruiting." We are hiring the person who owns the talent bar, the pipeline and the close. You are relentless in your proactive pursuit of top 1% talent, and you never consider the pipeline “good enough”. You treat every day as an opportunity to source the next generation of leaders for Flowcode, and you are consistently refining differentiated strategies to attract and retain elite talent. What you'll own The talent bar: You define, in writing, what "top 1%" means for each function at Flowcode, with calib

JOB DESCRIPTION Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Passion for seeing research through from initial conception to eventual application. Curiosity about financial markets Strong scientific programming in Python, R or Matlab. Empirical, detail-oriented mindset. Sense of owners

About the Team: A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional to develop and trade systematic macro strategies, with a focus on market microstructure. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business. Role/Responsibilities: Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets, with a focus on market microstructure signals Perform feature engineering with order book tick data at intraday to daily horizons Perform feature combination using various modeling techniques ranging from linear to machine learning models Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation Help drive the growth of the investment process and research capabilities of the team Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets Assist in building, maintenance, and continual improvement of production and trading environments Requirements: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics 4+ years of experience in quantitative research, building statistical models for intraday to daily trading,

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. JOB DESCRIPTION Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX Strong analytical and quantitative skills Demonstrated ability to conduct independent research utili

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology. Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave. Successful researchers manage all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation. Researchers will be introduced to industry standard datasets, including understanding which data may be relevant to a certain model or financial problem; how to collect, parse, and clean the data; how to incorporate the data into innovative functional models; how to construct and develop features from raw data; and how to estimate effectiveness of such features. Researchers will also be provided with the opportunity to implement the full breadth of their knowledge and training to actively participate in all stages of resear

Business Analyst (Product Operations Specialist) (3 month Fixed Term Role with scope to extend) New York/ Remote US (with 2 days per week office time in New York) Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role Prolific for AI takes on a wide and fast-moving range of customer projects across our biggest AI accounts. Every project has its own requirements, systems, and stakeholders – and right now, that complexity lives in people's heads rather than on paper. We're looking for a Business Analyst / Product Operations Manager to fix that. You’ll get into the weeds of each project's requirements and systems, and turn that complexity into visual maps that the whole team can work from. You’ll be the person who steps back across them, spots the patterns, and tells us what's repeating, what's diverging, and what should become a reusable playbook. You'll also own how requests reach the product team in the first place, building the internal intake process that determines how we become aware of, understand, and prioritise customer asks. Impact: You'll bring order and visibility to a high-throughput, high-complexity part of the business. Every pilot you map mak

The Opportunity Enigma has a unique perspective on the businesses that power the U.S. economy and a lot of interesting data to tell those stories. We’re looking for a strong writer and creative thinker to help us turn our data, insights, and expertise into compelling content that builds Enigma’s voice and brings our work to life. You will help develop the ideas behind our content, not just execute against a brief. You’ll identify interesting stories within our data, develop thoughtful long-form pieces and reports, and help build a consistent content engine across Enigma. This is a contract role working closely with our GTM and Marketing teams and partnering with other teams across the company to uncover ideas, insights, and data worth sharing. What You'll Do Develop compelling, data-driven content. Turn Enigma’s proprietary data, research, and internal expertise into engaging reports, articles, thought leadership, and other long-form content. Generate ideas and uncover stories. Proactively identify interesting trends, insights, and angles within our data that can become differentiated content for Enigma. Own the content calendar. Build and manage a thoughtful editorial calendar that balances timely opportunities, larger research pieces, company priorities, and ongoing content. Write and edit across formats. Create clear, credible, and distinctly Enigma content across long-form reports, web, email, social, and other channels. Build a repeatable content engine. Establish an eff

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As a SMB Account Manager, you are responsible for retaining and growing a defined portfolio of existing customers in the US market. You act as the commercial owner of each relationship — driving renewals, expanding accounts, and positioning Trustpilot as a long-term partner that delivers measurable business value. You combine commercial acumen with relationship depth, collaborating closely with Customer Success Managers to ensure adoption, satisfaction, and sustainable revenue growth. You are accountable for contributing to strong Gross Renewal Rate (GRR) and Net Revenue Retention (NRR) results by executing defined renewal processes, maintaining Salesforce accuracy, and supporting customers to achieve measurable value. What you'll be doing: Retention & Renewal: Own the end-to-end renewal process, delivering high Gross Renewal Rates (GRR) and predictable retention. Growth & NRR: Drive portfolio expansion through upsell and cross-sell to achieve strong Net Revenue Retention (NRR) and overall portfolio growth. Account Planning: Build and maintain detailed account plans, stakeholder maps, and accurate forecasts in Salesforce. Customer Engagement: Lead

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role Quantitative researcher to help build out a systematic macro (futures, FX, and vol) strategies. Core focus will be working on mid-frequency alpha strategies. Job Description Develop systematic trading models across FX, commodities, fixed income, and equity markets Alpha idea generation, backtesting, and implementation Assist in building, maintenance, and continual improvement of production and trading environments Evaluate new datasets for alpha potential Improve existing strategies and portfolio optimization Execution monitoring Be a core contributor to growing the investment process and research infrastructure of the team Desirable Candidates Masters or PhD in mathematics, statistics, physics or other quantitative discipline. PhD in statistics or machine learning is a plus Experience in quantitative trading, ideally in FX or futures Experience with alpha research, portfolio construction and optimization Experience building statistical/technical, fundamental, and data driven signals Experience synthesizing predictive signals for both cross-sectional and time-series models Strong experience

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! At Trustpilot, we’re on a mission to make the world a little more trustworthy by empowering businesses through authentic customer feedback. Our team is a vibrant mix of multinational customer experience specialists who thrive on collaboration, problem-solving, and out-of-the-box thinking. We pride ourselves on being effective listeners and troubleshooters, always ready to tackle challenges together. As an Enterprise Account Executive at Trustpilot, you won’t just be selling a product; you’ll be part of a dynamic Sales team filled with hard-working and motivated professionals who share a passion for delivering exceptional support and value to our diverse customer base. Here, you’ll find that your hard work and dedication are recognized and celebrated. With an empowered and supportive leadership team and peers who inspire each other to excel, you’ll have the tools and resources you need to achieve your targets and grow your career. We believe that success should be enjoyable, and we make sure that fun is part of the journey. If you’re ready to take on new challenges, make meaningful connections, and be part of a team that is shaping the future of custo

Please send CVs to kepl-talent@cubistsystematic.com with “202 7 KEPL Application” in the subject line. About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About Our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies. We are actively expanding into new markets and assets classes. Role: We are looking for full-time quantitative research analysts and software developers to join our fast-growing team and contribute to multiple new initiatives that aim to expand our business. The candidate should have a passion for innovation to solve research and trading problems. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team’s successful expansion. The candidate will also collaborate with other team members to innovate our researc

About the Team: A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional in the intraday to mid frequency systematic macro space. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business. Role: Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets Work with price-volume and alternative data at intraday to multiday (up to 2-3 weeks) horizons in the mid-frequency space Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets Responsibilities: Develop systematic trading models across global futures (equity indices, commodities and fixed income) and/or FX markets Alpha idea generation, backtesting, and implementation Evaluate new datasets for alpha potential Contribute to and enhance portfolio optimization, allocation and risk management processes Help drive the growth of the investment process and research capabilities of the team Assist in building, maintenance, and continual improvement of production and trading environments Requirements: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quanti

Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office. ROLE Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office. The PCA team plays a vital role in the Equity L/S business at the firm, collaborating with investment teams to improve net revenue and risk adjusted returns. The Quantitative Developer will build, refine, and maintain an efficient technology infrastructure to enable and support the team’s quantitative research and analytical efforts. The ideal candidate is a smart, self-driven, and creative problem solver with strong technical and quantitative skills. RESPONSIBILITIES Architect, build, refine, and increase automation and robustness of the research infrastructure, including data access, risk modeling, and backtesting components Collaborate with quant researchers to implement framework for automating and presenting analytics, reports, and monitors Collaborate with firm-wide technology teams to deliver analytics and tools to users across the firm DESIREABLE CANDIDATES Undergraduate, Masters, or PhD in Computer Science or other quantitative discipline 3+ years of professional experience developing infrastructure to support an investment team Strong programming skills in Python and SQL Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning alg

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Product Sales is a team of deep functional and technical specialists who both lead and advise on deals for the most strategically important products in Stripe’s portfolio. The Payouts Product Sales team is tasked with engaging the largest most complex users and platforms in the industry to provide solutions that address their cash flow and capital challenges, and help them build world class programmable global money movement businesses. The team is lean, highly visible and highly cross-functional! What you’ll do As an Account Executive, Product (Payouts) at Stripe, you will use your sales and product expertise to help drive growth of Stripe’s payouts products solutions. You will collaborate with product, engineering and marketing teams to develop deep product and industry knowledge and drive strategic deals. You will be instrumental in leading in-depth product discussions with prospect users Globally – and building and executing against our go