Insights Lead Jobs

About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. The Core Data Platform organization owns all the infrastructure necessary to run an operationally efficient analytical data stack. About the Roles The Data Platform team spans data mobility frameworks, ingestion, infrastructure, tools, and governance. Together, they design and operate scalable compute and ingestion frameworks using technologies such as Spark, Flink, Kafka, Airflow, and modern lakehouse solutions, while also building abstractions and tools that simplify data workflows for engineers, analysts, and ML practitioners. In parallel, these teams establish strong data quality, cataloging, privacy, and compliance standards to ensure trust in analytics and regulatory adherence. As relatively high-impact teams, they offer engineers the opportunity to shape the roadmap, influence core platform decisions, and directly enable DoorDash’s business-critical insights and real-time personalization capabilities. You must be located in San Francisco, CA, Sunnyvale, CA, Seattle, WA, or New York, NY. You're excited about this opportunity because you will… Drive vision & strategy for building the frameworks charter and position it to handle the challenges of a rapidly growing business. Scale the analytical platform for the increasing amounts of data and use cases. You will bring your expertise in building and operating high scale systems with a focus on reliability, scalability and cost efficiency. Collaborate with stakeholders building solutions on top of the platform Foster a positive and supportive work culture, upleveling others. We're excited about you because you have… B.S., M.S., or PhD. in Computer Science or equivalent. 2+ years of industry experience at our I4 level, 5+ years of industry experience at our I5 level Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in th

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 Our mission is to enable effective financial decisions through reliable data, increased efficiency, and automation. We support Marketing, Sales, Seller, Accounting, Tax, Finance and Strategy (F&S), Finance Operations (FinOps), and Treasury functions across automation, data insights, and process improvements. You may work on a wide variety of critical business areas including Seller Systems — Responsible for building the systems and tooling that make sellers and internal revenue teams at Stripe dramatically more productive and effective. We partner with Sales, Finance, Legal, and Product to deliver a single "plane of glass" selling experience that spans deal creation and modeling, negotiation and approvals, contracting, onboarding, and activation. The Seller Systems team composes first‑party, custom Stripe components with best‑in‑class third‑party business systems to deliver configurable, auditable, and globally scalable workflows. Engineers on Seller Systems build services, APIs, integrations, data pipelines, and internal UIs that power seller productivity, reduce time‑to‑activation, improve deal velocity, and enable AI‑driven assistive workflows. Use cases include deal modeling and pricing engines, approval and orchestration platforms, CLM/CPQ integrations, onboarding automation, seller analytics, and AI‑assisted seller tooling. Finance Engineering — Responsible for building the robust and scalable infrastructure that powers

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We're seeking a Senior Product Manager with exceptional product sense to drive the user experience vision for tools at Replit. You'll focus on understanding developer and non-developer needs, designing intuitive AI interactions, and creating delightful experiences that that make coding accessible to everyone. You Will: Define and execute the user experience vision for AI-driven software creation Conduct deep user research to understand developer pain points and workflow needs Design AI-powered features that feel intuitive and magical to users of all skill levels Own user journey optimization from onboarding through advanced AI-assisted development Drive product strategy based on user feedback, market research, and competitive analysis Partner with design teams to create compelling AI interaction patterns and interfaces Who You Are: Obsessed with creating exceptional user experiences and have a track record of building beloved products Deeply empathetic towards developer pain points and make it a point to put yourself in users' shoes Strong at qualitative and quantitative analysis, turning user insights into actionable product decisions Excellent at storytelling and can articulate compelling user narratives and product visions Biased towards execution and learning through rapid iteration and user feedback Required Skills & Experience: 5+ years of product management experience with a track record of building exceptional user experiences Strong product sense and intuition for what makes great developer tools and experiences Experience conducting user research and translating insights into product strategy Deep intuition about AI trends and products, particularly in automation and natural language interf

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking a highly skilled Payroll Analyst with strong General Ledger (GL) experience, advanced Microsoft Excel capabilities, solid analytical skills, and familiarity with AI-driven tools and automation. The ideal candidate will support global payroll operations, enhance process efficiency through technology, and collaborate closely with internal partners and third-party payroll providers. WHAT YOU DO Manage and resolve employee payroll inquiries using the ticketing system, ensuring timely follow-up and high-quality service. Respond to payroll-related questions from HR, external vendors, and other stakeholders. Partner with third-party payroll providers and internal teams to support accurate and timely monthly payroll processing for Pure Storage employees. Verify, validate, and reconcile data received from HR systems and external partners. Prepare and post payroll results in line with established deadlines prior to Payroll Manager approval. Ensure compliance with payroll controls, corporate policies, and statutory requirements. Support the coordination, optimization, and continued development of payroll services. Participate in internal initiatives and cross-functional improvement projects. Identify weaknesses in existing workflows, propose solutions, and implement improvements using data insights and automation. Assist with year-end reporting, audits, and reconciliation activities. Perform payroll-related GL

About the team The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released widely used products such as ChatGPT, Sora, and the OpenAI API, powering models including GPT-5 and a growing set of multimodal capabilities across text, image, audio, and video. Our team also manages large-scale inference and platform infrastructure that supports these experiences at global scale. With much more on the horizon, our impact continues to grow. Our customers build fast-growing businesses using our APIs, unlocking product capabilities that were previously unimaginable. ChatGPT and Sora exemplify the breadth of what’s now possible across text, image, audio, and video experiences. As these capabilities expand, we prioritize the responsible use of our technology, emphasizing safe and thoughtful deployment over unchecked growth. Within Applied Engineering, the Financial Engineering team builds the frontend platforms and workflows that power how OpenAI’s products are priced, purchased, and managed at scale. We work closely with Go-To-Market and Finance partners to translate complex commercial requirements into clear, reusable billing experiences. We’re looking for a frontend engineer to help define and evolve these billing platforms, shaping the primitives, interfaces, and patterns that product teams rely on as our offerings and customer needs continue to grow in complexity. In this role, you will: Create scalable, reusable UI components and patterns that support a wide range of billing use cases across products. Partner closely with backend engineers to deliver end-to-end billing capabilities spanning subscriptions, usage-based pricing, and enterprise offerings. Build tools and surfaces that allow teams like Finance, Sales, Support, and GTM to manage and reason about billing data efficiently. Create AI powered features for billing workflows and platform tooling to automate repetitive tasks, surface insights, and improve decision-making. Help define

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The team owns the core experience that helps finance teams control, automate, and optimize company spend. We build the engine that powers Ramp’s card and expense workflows—from card issuance and spend limits to approvals, policy enforcement, and real-time insights. Our systems handle billions of dollars in transactions and integrate deeply with Ramp’s AI platform, financial infrastructure, and partner ecosystems (banks, ERPs, HRIS). As a backend engineer on this team, you’ll work across product surfaces that are central to Ramp’s success: cards, approvals, spend controls, and automation intelligence. What You’ll Do Design, build, and scale backend systems that power spend controls, approval workflows, and card transactions at massive scale Collaborate cross-functionally with product, design, and data to deliver intelligent, user-first experiences for finance teams Integrate with Ramp’s internal AI platform to automate spend policy enforcement and anomaly detection Own complex projects end-to-end — from architecture to deployment and o

About the Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Engineering team builds the platforms and tools that make OpenAI’s models safe to use in the real world. We partner closely with researchers, product teams, and policy to turn safety ideas into reliable, scalable systems: measuring risk, enforcing safeguards, and continuously improving how models behave in production. Our work sits at the intersection of product engineering, data, and AI, and directly shapes how millions of people experience OpenAI’s technology. About the Role We’re looking for a self-starter engineer who loves building products in an iterative, fast-moving environment—especially internal tools that unlock real-world impact. In this role, you’ll build full-stack tooling for our Safety Systems teams that directly improves the safety and reliability of OpenAI’s models, including in sensitive areas like mental health and other vulnerable-user protections. Your work will increase the team’s velocity in identifying and fixing safety issues and help tighten the feedback loop between policy, data, and the model training cycle. In this role, you will: Own the end-to-end development of internal tools that help improve the safety of OpenAI’s models (with a focus on areas like mental health and other vulnerable-user protections) Partner closely with Safety Systems researchers, engineers, and model policy creators to understand workflows, pain points, and requirements—and translate them into durable product solutions Build full-stack experiences to support core model policy workflows, such as labeling and inspecting data, analyzing and reviewing failure cases, and surfacing insights for iteration Optimize internal applications f

Summary We are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at least 3 years of experience in convertible securities (or equity/FX/rates derivatives), relative value trading strategies, and quant data analysis. The role will combine active trading and risk management and quantitative analysis to identify and execute profitable opportunities in the convertible space. Role/Responsibilities: Identify relative value opportunities between convertible bonds, the underlying equity, and credit derivatives. Execute trades in convertible securities, related equities, and hedges in alignment with investment theses and risk parameters. Manage existing positions proactively, assessing changes in valuation, liquidity, and market sentiment. Conduct in-depth quant data analysis on the convertible bond universe, including historical pricing and valuation. Model and evaluate convertible securities across multiple scenarios, analyzing risks related to credit, interest rates, volatility, and equity sensitivity. Build front-office tools to analyze convert universe data for idea generation, trade optimization, and risk management. Coordinate with the portfolio manager and risk team to size positions appropriately and adhere to pre-defined risk limits. Track and analyze P&L drivers on a daily basis and provide attribution reports. Hedge exposures dynamically using equity, credit, and derivative instruments. Work closely with other analysts, traders, and portfolio managers across strategies to share insights and generate synergies. Maintain strong relationships with sell-side counterparties and market participants to source information and enhance trade execution. Requirements : Bachelor’s degree in finance, economics, mathematics, engineering, or related field; advanced degree or CFA preferred. 3+ years of experience in convertible bond trading with a

Position : Senior Sales Trader Company Description B. Riley Securities provides a full suite of investment banking, corporate finance, advisory, research, and sales and trading services. Investment banking services include initial, secondary and follow-on offerings, institutional private placements, merger and acquisition (M&A) advisory, SPACs, corporate restructuring and recapitalization. B. Riley is nationally recognized and highly ranked for its proprietary small-cap equity research. Position Overview We are seeking a full-time Senior Sales Trader to join our Cash Equity desk. The Senior Sales Trader will work closely with the institutional sales force to coordinate research ideas with buyside desks. Responsibilities include developing and maintaining relationships with assigned institutional clients through trading and execution services, processing trade tickets, educating clients on B. Riley Securities research including Syndicate activity, interfacing with back office operations, and performing various administrative duties. The candidate will service large accounts with an average of 15+ client relationships, generate revenue exceeding firm goals, and report to the SMD, Head of Equity Trading. Strong communication skills are essential for conveying trade ideas, market updates, and execution strategies to clients and internal teams. The ideal candidate is a self-starter, highly motivated, able to multitask under pressure, and handle stressful situations calmly and professionally with minimal supervision. The compensation for this position is commission-based. Key Responsibilities Work closely with the institutional sales force to generate ideas, coordinate buyers and sellers, and facilitate seamless order flow. Build and nurture relationships with assigned institutional investors through trading and execution services to grow trading volumes, provide tailored market insights, and drive revenue. Develop a deep understanding of clients’ trading strategies,

About the Team Codex is OpenAI’s coding agent, helping developers write, review, and debug software. The broader Codex group combines research, engineering, design, and product to advance what AI agents can do. Codex Enterprise builds the agents and product capabilities that help organizations use Codex in their software development workflows. Unlike individual consumers, people at organizations work in teams, and our scope includes a product experience that works for those teams, building extensibility and discovery primitives, supporting enterprise administration and governance, and the capabilities that help us deploy Codex to organizations at scale. We help turn new agent capabilities into useful products that organizations can trust. About the Role We’re looking for a backend or backend-leaning full-stack engineer who pairs technical depth with strong product taste. You’ll build new products and major capabilities, help determine what shape they should take, and own the work from an ambiguous starting point through launch. Working closely with product managers and Forward Deployed Engineers, you’ll turn emerging needs and deployment insights into scalable product capabilities. The emphasis is on deeply technical product building, independent problem-solving, and thoughtful decisions about both user experience and system design. In this role, you will: Shape new Codex Enterprise products and features, applying product judgment to decide what to build and how it should work. Own projects from exploration through architecture, implementation, launch, and production operations, using feedback to guide ongoing iteration. Build ecosystem capabilities such as plugins, skills, hooks, and discovery experiences, alongside services for enterprise administration, governance, and usage visibility. Design reliable, secure, observable backend systems that support Codex experiences across web, IDEs, CLI, and CI/CD. Partner with product managers and Forward Deployed Engineers t

Human Data Quality Analyst, AI Business Prolific Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role Prolific provides the human data that powers the next generation of AI models, working with frontier labs to capture the complex human judgments researchers need to train, evaluate and improve them. As a Human Data Quality Analyst, you'll be on the front line of making sure that data captures the right signal and is genuinely good enough to do its job. This isn’t traditional, back-office QA. You’ll be doing real analytical work: digging into datasets, identifying patterns and failure modes, investigating why quality has shifted, and turning complex findings into clear insights that help us improve how data is collected, reviewed and delivered. You'll spend real time reading annotations closely, but that is how you gather evidence, not what you produce. What you produce is analysis, practical recommendations and better quality controls. You'll get hands-on exposure to human data, annotation, machine learning pipelines and AI evaluation, working alongside Quality, Engineering, Operations and Delivery on new and evolving problems. There won't always be an established playbook. You'll be guided by our quality engineers, but you'll also need to run your own analysis, test your assumptions and recognise when you need input. It is a role with a steep learning curve from day one and a strong opportunity for someone early in their career to build deep, practical experience in a fast-moving area of AI. What You’ll Be Doing Run day-to-day qualit

Senior Data Analyst – Tableau Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical and BI solutions while collaborating closely with Data Engineering teams. The ideal candidate should have strong hands-on expertise in Tableau , along with a good understanding of Power BI and DAX , and practical experience in migrating Tableau dashboards and reports to Power BI . Key Responsibilities Work on a wide range of data analytics, data visualization, and business intelligence problems across various industries. Engage with clients and business stakeholders to understand business context, objectives, and challenges. Analyze and document business processes, mapping end-to-end workflows using visual formats such as process flow diagrams. Translate business problems into analytical solutions by defining metrics, KPIs, dashboards, and reports. Develop, publish, and maintain interactive dashboards and visualizations using Tableau and Power BI. Perform Tableau-to-Power BI migration, including assessment of existing Tableau dashboards, reports, data sources, calculations, and business logic. Translate Tableau functionality such as calculated fields, LOD expressions, filters, parameters, and data models into equivalent Power BI implementations. Develop and optimize Power BI reports, data models, measures, and DAX expressions. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics delivery. Perform QC checks and validation of reports and dashboards before client delivery

Full Stack Javascript Developer Particle41 is seeking a talented and versatile Full Stack Developer to join our innovative team. As a Full Stack Developer, you will play a key role in designing, developing, and maintaining end-to-end software solutions that meet our clients' needs. You will work on both front-end and back-end technologies, collaborating with cross-functional teams to deliver high-quality products. This is an exciting opportunity to have an impact on projects and grow your skills in a supportive and dynamic environment. In This Role, You Will: Software Development Develop and maintain web applications using front-end technologies Experience or knowledge in backend technology will be an advantage. Design responsive and user-friendly interfaces using modern JavaScript/TypeScript frameworks such as NextJS, React.js or Angular and front-end CSS frameworks like Tailwind and Bootstrap Create RESTful, GraphQL APIs to enable communication between backend and front-end applications. Write clear and concise documentation for APIs, including usage guides and code examples, to facilitate integration by internal and external developers. Basic understanding of Open API specifications. Write clean, efficient, and well-documented code following industry best practices and coding standards. Strong understanding of the Node.js ecosystem and architecture and integrations with popular third-party libraries. Implement API authentication and authorization mechanisms, such as OAuth, JWT, or API keys, to ensure data security and privacy. Requirements Gathering and Analysis Collaborate with designers, product managers, and other stakeholders to gather requirements and translate them into technical solutions. Participate in requirement analysis sessions to understand business needs and user requirements. Provide technical insights and recommendations during the requirements-gathering process. Agile Development Participate in Agile development processes, including sprint

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We are seeking a highly technical, data-driven Growth Engineer to help scale our product and expand key user metrics across acquisition, activation, retention, and monetization. Growth Engineering sits at the intersection of engineering, product, and marketing—leveraging code, experimentation, and analytics to uncover opportunities and deliver measurable impact. What You’ll Do Drive Experimentation & Optimization Design, implement, and analyze rapid A/B and multivariate tests to validate hypotheses and improve key KPIs. Identify bottlenecks in user funnels and develop technical solutions to improve conversion rates throughout the user lifecycle. Build and Scale Growth Features Build growth-oriented product features such as onboarding flows, referral systems, and automated engagement loops. Develop scalable code and infrastructure that supports growth initiatives and experimentation frameworks. Leverage Data & Metrics Collaborate with data teams to instrument tracking, build dashboards, and derive insights from user behavior data. Use SQL and analytics tools to deeply analyze cohorts, engagement metrics, and experiment outcomes. Cross-Functional Collaboration Partner closely with product managers, designers, marketers, and data scientists to align on growth goals and execution plans. Translate business goals into technical requirements and implement pragmatic solutions that drive sustainable growth. Continuous Innovation Stay updated on industry trends and growth-oriented technologies and propose new tactics to accelerate growth. Automate repetitive tasks and build internal tools to empower faster experimentation and execution. Required Qualifications Bachelor’s degree in Computer Science, Enginee

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure. Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this role if