Quantitative Software Engineer Lead

Datadog Real User Monitoring (RUM) provides deep insight into frontend applications’ availability and performance. With Datadog RUM, customers monitor the health of their user experiences in real time and across all types of devices and frameworks: web, mobile, smartTVs, etc. Their frontend issues are correlated with backend telemetry (traces, logs, infrastructure metrics, database queries, etc.), their synthetic tests, and business data in a single place to quickly identify and troubleshoot issues across their stack. As a Product Manager for RUM, you will build solutions that help customers onboard to RUM and expand usage in the most efficient and scalable way, ensure experience consistency throughout the product, build intelligence based on availability and performance data, and work closely with enterprise customers to make sure their needs are met. As part of the team for this fast growing product, you will participate in the vision, strategy, and execution, driving the development and evolution of our RUM offering. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Identify customers' needs and business opportunities through quantitative data analysis and qualitative customer interviews. Translate needs and opportunities into business cases, features, product requirements, and roadmaps. Collaborate closely with cross-functional teams including engineering, design, data science, and product. Collaborate with marketing, customer success, and technical writing teams to deliver new features and services that are easy to use and understand. Communicate feature releases to internal and external users for efficient go-to-market and product discovery. Who You Are: At least 3+ years of Product Management experience (ideally in enterprise software se

Eulerity is an AI-native marketing automation platform. Our software runs paid advertising, social, listings, reputation, and call tracking for thousands of locations across enterprise franchises and SMB networks, executing autonomously across Google, Meta, Apple, and Microsoft. The Technical Operations team is the analytical engine that keeps that execution sharp. We are hiring an intern to sit with this team for the summer. Who we are looking for This is not just a marketing internship. We are looking for someone who is genuinely analytical. The kind of person who opens a messy dataset and gets curious instead of overwhelmed. Who enjoys figuring out why a number moved. Who can read a chunk of SQL or Python and follow what it does, even if they would not write it from scratch. Who would otherwise be heading toward an analyst seat at a consulting firm or a product role at a startup. If you love spreadsheets, you will feel at home here. If you have ever built a model in Excel just to understand something better, even more so. What you will actually do You will work directly with our Technical Account Management and Analytics teams on the parts of campaign management that require thinking, not clicking. That includes: Diagnosing why specific campaigns are underperforming and proposing fixes grounded in the data. Building and refining Excel and Sheets models that our account teams use to make decisions. Auditing campaigns at scale, often across hundreds of locations for a single brand, and surfacing patterns no one else has noticed. Pulling, cleaning, and analyzing performance data from Google Ads, Meta, LinkedIn, and our internal platform. Helping operationalize new analytical workflows, including ones we are building on top of AI tooling. Contributing to internal projects that make our team faster and smarter. You will not be writing ad copy or designing creative. You will be doing the analytical work that makes the campaigns actually perform. What we want from you C

About the Team DoorDash Digital Ordering is DoorDash’s first software-as-a-service business unit – offering a suite of services across online ordering, branded mobile apps, loyalty solutions, and more that enable merchants (restaurants, grocers, retailers, etc.) to reach customers through their own first-party channels. The business is one of the fastest-growing segments within DoorDash, and yet is only scratching the surface of a generational opportunity to better serve hundreds of thousands of merchants to help them grow their business and improve working lives in one of the country’s biggest industry sectors. About the Role As an Associate Manager on the Digital Ordering Strategy & Operations team, you will play a critical role in building a world-class SaaS business. You will be responsible for defining and leading key go-to-market bets and initiatives to scale our business nationwide. The ideal candidate for this role should be a self-starter with an entrepreneurial mindset, able to take ownership and create plans from scratch, and drive execution while obtaining cross-functional buy-in to achieve Digital Ordering’s strategic goals. You’re excited about this opportunity because you will… Lead. You’ll drive high visibility, cross-functional workstreams that address Digital Ordering’s most unique and challenging questions Build. You’ll shape strategies, workstreams, and playbooks across our most important go-to-market priorities, working closely with senior stakeholders across GTM, product, marketing, and beyond Sell. You’ll design and influence the GTM sales motion at each stage of the sales funnel to communicate our value proposition to Merchant partners Operate. You’ll get to the lowest level of detail and have a deep understanding of how our go-to-market engine operates, and use that to scale Analyze. You’ll parse complex data sets paired with qualitative feedback to provide insights and recommendations to grow the business We’re excited about

Welcome systems thinkers. System builds software to help the world see and solve anything as a system, starting in healthcare. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission. At System, product work is deeply cross-functional — sitting at the intersection of engineering, data, and the humans who use our platform to make consequential decisions in healthcare and beyond. As a Product team member at System, you will: Define and drive the product vision in close partnership with engineering, data, and research teams Translate complex systems problems into elegant, human-centered experiences Conduct user research to understand the needs, mental models, and workflows of systems thinkers Own the product roadmap and prioritize with clarity, purpose, and data Collaborate across functions to ship meaningful, high-quality product experiences Contribute to a culture of curiosity, craft, and continuous improvement The ideal candidate has: 3+ years of experience in product management, product design, or a related discipline A track record of shipping products in agile, fast-moving environments Strong communication and stakeholder alignment skills Experience working in or adjacent to data-heavy or technically complex products An ability to hold both user empathy and systems-level thinking at the same time Comfort with ambiguity and a bias toward clarity Bonus if you have: Experience designing or managing products in healthcare, life sciences, or enterprise data platforms Experience conducting qualitative research with technical or clinical users Background in or exposure to systems thinking frameworks You might be a fit if you: Think in systems — mapping feedback loops, interdependencies, and second-order effects comes naturally to you Are motivated by purpose-driven work, particularly at the intersection of technology an

Quant/Developer Analyst for a Discretionary Macro Investment Team focused on Structured Products A Career with Point72’s Macro Team Point72’s Global Macro business is a scaled, global investment platform with more than two decades of experience trading across rates, FX, credit, volatility, and emerging markets. Operating across 10 offices worldwide, we have doubled our capital allocation and grown our number of teams fivefold since 2020. We combine deep asset-class expertise with a highly collaborative culture across macro, fundamental equities, and systematic strategies to drive differentiated investment performance and support long-term career growth for our talent. What you’ll do Help architect and maintain the infrastructure for Structured Products investing. Leverage internal and external partners to help with data infrastructure builds. Integrate alternative and traditional data sets to help streamline our analytic processes. Use Artificial Intelligence (AI) to enhance and optimize processes. Work with risk parameters based on High Yield Equivalent and quantitative processes within market-standard analytics platforms such as Bloomberg. Manage and assist in special projects within the CLO market. What’s required 3+ years at a sell-side firm in a trading or quantitative research role, or as a quant at a buy-side credit or mortgage-focused fund. Undergraduate degree or higher in computer science, economics, engineering, mathematics, physics, or statistics. Advanced knowledge of a programming language such as Python, C++, or SQL. Advanced skills in Excel and cashflow modeling. Extensive experience with third-party structured credit cashflow engines (e.g., INTEX) and API. 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 employ

We are not working with external recruiting partners at this time, please apply directly to the role if you have further interest in joining Vise Engineering at Vise has the unique opportunity to use technology to revolutionize the RIA wealth management industry. Team members are given ownership and trust with the understanding that they are supported by industry experts and together can build a best-in-class product. We are a small, high-impact team where everyone has a voice in the development of our product and technology. Vise is seeking a passionate Quantitative Engineer to join our talented engineering team. As we build the future of wealth management, you will partner closely with our investment strategy and core engineering teams, as well as our Chief Investment Officer to build sophisticated investment models which shape our portfolio construction and portfolio insights. You will be responsible for writing production ready quantitative models, using advanced numerical techniques, convex optimization routines and industry leading practices. Our team is deeply curious, with a strong desire to solve problems that have no defined answer. You should feel comfortable reimagining investment management and questioning every market assumption. The ideal candidate thrives in a creative, inventive, and fast-paced startup environment and wants to work with people who are equally passionate about our work and mission. The problems we’re solving as an organization are dynamic and each day brings fresh and exciting challenges. We're interested in people who will react quickly and efficiently when called upon to change or pivot. We work closely with convex optimization techniques and numerical optimizations of various problems. Past exposure in solving complex problems in a numerically optimized way is a plus. What you will own Help to maintain and expand the tax-aware portfolio optimizer using state of the art optimization techniques Develop deep experti