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We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Fraud Data team at Plaid builds the machine learning systems that power Plaid’s fraud detection products, leveraging insights from across Plaid’s network to help identify and stop fraud before it happens. Our team works across the full data science and machine learning lifecycle—from discovering new signals and experimenting with models to deploying and optimizing them in production. We continuously learn from real-world model performance and customer feedback to improve our systems and develop new ways to protect customers and consumers from evolving fraud threats. As a Senior Machine Learning Engineer on Plaid's Fraud Data team, you will develop models that improve fraud detection for our customers. You will identify predictive patterns in Plaid's network data and lead projects from initial experiments through model deployment and ongoing improvement. Investigate fraud patterns and model errors to identify new signals, improve detection, and expand coverage across customers and use cases. Develop training datasets and predictive features, addressing challenges such as incomplete labels, class imbalance, data leakage, and changing fraud behavior. Design, train, and tune model

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Fraud Data team within Plaid's Fraud organization. We leverage relationships and activity across Plaid’s network to develop machine learning models that help customers detect and prevent fraud while minimizing friction for legitimate users. Our team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. In this research role, you’ll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. As a Senior Research Scientist, you will lead applied research to develop next-generation fraud detection models across relational graphs, sequential events, images, and video data. You’ll design rigorous experiments and evaluation methodologies that reflect real-world fraud dynamics, while exploring state-of-the-art approaches such as Graph Neural Networks and Transformer-based foundation models. In close partnership with Machine Learning Engineers, you’ll translate promising research into production-ready solu

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Fraud Data is the data science and machine learning team within Plaid’s Fraud organization, responsible for using data and ML to improve and scale Plaid’s fraud products. Within Fraud Data, the Customer & Product Intelligence team focuses on understanding product performance, uncovering customer insights, and enabling go-to-market teams with data-driven solutions. The team partners closely with customers and GTM teams on fraud analyses and proofs of concept, turning customer learnings into scalable, reusable product capabilities. We also build the metrics, analytics, and data foundations that measure product health, identify opportunities for improvement, and guide product decisions across Plaid’s Fraud portfolio. As a Data Science Manager, you will lead a team responsible for customer-facing data science and Fraud product analytics. You will set the team's roadmap, develop its data scientists, and remain involved in analytical methods, technical reviews, and customer investigations. You will: Set a 6–12-month roadmap with Product, Engineering, and GTM, and assign priorities and responsibilities across the team. Define product metrics, their underlying data, and reporting and

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the Team The Fraud Partnerships Pod is responsible for overseeing all traditional business development and partnerships for the Anti-Fraud Product Area (PA) at Plaid, focusing primarily on our product partnerships and data acquisition (supply side) efforts. The team supports all products under the Fraud Product Area's purview: IDV, Monitor, Layer, and Protect. About the Role You will have an opportunity to lead the strategy and execution of our supply side and "data in" efforts for our Fraud product area across four products (Plaid IDV, Monitor, Layer, and Protect). You will own all critical data partner relationship management with key stakeholders and be expected to grow them over time. You will be the internal quarterback driving alignment with key major internal stakeholders at Plaid, including Finance, BizOps, Commercial, Legal, and Risk. What You'll Do Spend the majority of your time working hand in hand with product leadership as well as other cross-functional leaders to operationalize our data partners for all fraud products at Plaid. Help our data science and research teams define the source data ecosystem for IDV and Protect according to our 3-year strategy. Help e

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About tvScientific We are the first CTV advertising platform purpose-built for performance marketers. For game developers and publishers, we bridge the gap between massive TV reach and granular User Acquisition (UA) metrics. Built by ad-tech veterans, our platform combines media buying, optimization, and MMP attribution to help gaming brands automate CTV campaigns, drive app installs, and maximize Return on Ad Spend (ROAS). Join the tvScientific team as an Account Manager, where you'll lead strategic client relationships, drive revenue growth, and ensure client success on our cutting-edge platform. As an Account Manager on our team, you'll be responsible for managing a portfolio of key client accounts, developing and executing strategic account plans, and driving revenue growth through upsell, cross-sell, and retention initiatives. You'll levera

As a Product Manager – IaC Detection, you will define, build, and launch capabilities that proactively detect infrastructure issues in code (e.g. Terraform, Helm) before they can be deployed into production and escalate into production incidents. The Infrastructure Monitoring team has pioneered shift-left detection in the industry with Bits Infrastructure Operations , and we’re looking for a Product Manager to expand this capability to a broader set of use cases Customers (and thus developers) are increasingly standardizing on IaC tools to deploy and maintain ever-growing infrastructure in the cloud. At the same time, SREs and Infra teams struggle with an increasing number of production incidents. By shifting-left and identifying high-impact infra changes before they are deployed, we help reduce production incidents, reduce waste, and free up SRE time to focus on value-added tasks. You will own the roadmap to expand IaC detection to a broader set of use cases, including cost detection, blast radius impact, as well as configuration changes on infrastructure powering applications like nginx, postgres and more. You’ll partner closely with Engineering, Design, and customers to build and iterate on the roadmap, build product market fit, drive customer adoption (including internal usage), and focus on coverage and correctness of the AI system. This is an opportunity to lead an initiative at the intersection of AI, infrastructure operations, and autonomous observability. 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: Lead the product roadmap for IaC Detection, enabling customers to proactively detect and catch high-impact infrastructure and configuration changes before they are deployed into production and escalate into incidents. Define the end-to

About PostHog We equip every developer to build successful products . We started with open-source product analytics, launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products , including a built-in data warehouse , a customer data platform , and Max AI , an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries. Next on the roadmap are messaging, customer analytics, ai task creation and coding based on customer data, logs and support analytics. Our values are not a poster on the wall full of aspiration. They’ve come from how we really work, day in day out. PostHog is open source product led, and a default alive company that is well funded. Things we care about Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook . Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions. Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions . Teams are flexible and easy to change when needed. Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient groups of cracked engineers who can outship much larger companies because they own their products end-to-end. Time for building: Nothing gets shipped in a meeting. We're a natively remote company. We default to async communication – PRs > Issues > Slack. Tuesdays and Thursdays are meeting-free days , and we prioritize heads down building time over perfect coordination. This will be the most productive job you've ev

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the Team The Workplace Experience (WPE) team is responsible for shaping the employee experience at Plaid, ensuring that our workspaces, events, and cultural touchpoints drive connection, collaboration, productivity, and engagement. Within WPE, the Events & Experiences team brings Plaid's culture to life by designing and executing programs that foster belonging and engagement across both in-office and distributed environments. The team curates a wide range of experiences—from flagship company-wide gatherings to in-office celebrations, DEIB initiatives, virtual events, and milestone moments. They also lead Plaid's in-person onboarding, ensuring every new hire has a meaningful, high-impact introduction to our culture, values, and ways of working. About the Role We're looking for an Onboarding Coordinator to join our Employee Experience team in San Francisco. You'll help create a warm and seamless welcome for new Plaids by coordinating onboarding logistics, supporting new-hire travel, answering questions, and assisting with in-person sessions. You'll also support employee events and programs that help Plaids feel connected, valued, and engaged. What You'll Do Onboarding Help

We're looking for a Senior Operations Director for Revenue & Services who will serve as a trusted advisor to the Chief Commercial Officer, Professional Services leadership and other senior leaders. This role will shape how Professional Services operates, scales, forecasts, and performs, while driving alignment across Operations, Revenue, Sales and Finance. This role will connect services to broader business strategy, with a focus on cross-functional alignment, profitable growth and corporate results. WHAT YOU’LL DO: Shape and evolve the operating model for Revenue and Services, includingProfessional Services to enable scalable, predictable and profitable growth: forecasting methodology, capacity planning, utilization and margin management, and delivery-to-revenue alignment Set the strategic roadmap for services operations and operating infrastructure, including systems architecture (resource management, CRM integration, financial systems, data and reporting) and where to invest next Act as the strategic partner to Professional Services leaders translating business strategy and operating plans into performance targets. Represent services performance directly to executive leadership and the board Partner with President, Chief Commercial Officer, Finance leaders to evaluate profitable and growth opportunities, operating leverage, organizational capabilities, technologies and external partnerships. Lead deal desk strategy for services and deal governance, including pricing frameworks, SOW structuring, and margin guardrails, in partnership with Sales and Legal Partner in quarterly and annual planning for services capacity and revenue targets, and defend the plan directly to Finance and executive leadership Establish and drive a consistent operating cadence and process framework, including KPIs, business reviews, planning, forecasting, and reporting across the full customer lifecycle, identifying where PS operations should own versus influence

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. Who we are We drive sales of Mindbody software. The Revenue team helps our customers achieve their business goals, contributes to their growth, and eliminates hurdles by finding smart solutions from our suite of software products. We are strategic, collaborative, and solutions-oriented. About the right team member The SMB Sales Specialist is responsible for achieving sales targets for the Mindbody team. This position is focused on the total addressable market, while maintaining revenue objectives. The position involves communicating with prospects in various forums including field sales and outbound calls, emails, text, and other social media engagements. The SMB Sales Specialist enable others’ passions for health, wellness, and beauty to reach their maximum potential by providing solutions through technology. About the role Drives sales volume via outbound cold calls, outbound field sales, lead generation and closing sales with our single location prospects Initiates sales activity via in-person, phone, text and email, including but not limited to, introduction (cold calls), follow-ups, and demonstration calls, introduction emails, follow-up emails, pre-and post-demonstration r

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Every day, millions of riders and drivers depend on Lyft to get where they're going. When something goes wrong along the way, they expect us to make it right — quickly, clearly, and without friction. How fast and how well we resolve those moments shapes whether people keep choosing Lyft. The Self-Serve Intelligence team, within the Safety & Customer Care org, is composed of engineers building the AI-powered systems that do exactly that: resolving rider and driver suboptimal experiences without agent involvement through AI Assist (e.g. AI Agents), automations, and self-serve workflows. Our goal is to make getting help feel effortless. We design and build backend services, APIs, and GenAI-powered products that combine robust engineering with applied AI to deliver reliable, scalable self-serve experiences. We are looking for a highly motivated, collaborative, team-focused and technically strong Software Engineer to join our Self-Serve Intelligence team. As a member of this team, you will build the services and AI-powered products that resolve customer issues autonomously. Every day, you'll partner with machine learning engineers, product, design, data science, and operations on high-impact projects — from shipping new AI Agent capabilities, to building the evaluation pipelines that keep their quality high, to improving the backend services underneath them. You'll bring strong engineering instincts, genuine curiosity about applied AI, and a willingness to work through ambiguity in a space that changes month to month. Responsibilities: Write well-crafted, well-tested, readable, and maintainable code Partner with senior engineers to design, build, and ship backend services and GenAI-powered products (e.g. AI Agents) that resolve rider and driver suboptimal experiences Independently lead tasks fro

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are looking for a detail-driven Legal Billing Specialist to join our growing Legal Operations Team. In this role, you will own the day-to-day of outside counsel and vendor billing across our matter management and eBilling platforms—reviewing invoices, enforcing our Outside Counsel Guidelines and negotiated fee arrangements, and keeping our legal spend accurate, compliant, and on time. The ideal candidate is tech-savvy, numbers-oriented, and thrives under recurring billing deadlines, bringing a collaborative and transparent approach to partnering with attorneys, law firms, and Finance. This is a billing-focused role that also supports the broader Legal Operations function. Responsibilities: Prepare, review, and process outside counsel and vendor invoices; audit prebills and invoices, and flag rate errors, block-billing, math discrepancies, and billing-guideline violations before approval. Manage the day-to-day operation of the eBilling and matter management platform (Onit), including invoice intake, LEDES processing, rejections and appeals, accruals, and international / AP invoice processing. Enforce compliance with Lyft’s Outside Counsel Guidelines (OCG) and negotiated fee and alternative fee arrangements (AFAs); process write-offs, write-downs, and adjustments with clear documentation and audit trail. Manage timekeeper and billing-rate submissions and approvals; maintain accurate rate cards, matter budgets, and phase/task coding across the portfolio. Serve as the primary point of contact for billing inquiries and disputes; resolve discrepancies promptly by partnering with attorneys, law firms, and support staff. Partner closely with the Legal Operations eBilling Lead and with Finance / Accounts Payable on accruals, month- and quarter-end close, reconciliation, and payment status. Onboard outside

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is seeking a Staff Analyst – People Technology to join our Business Solutions Team. In this critical role, you will partner closely with the People Technology leadership and play a key role in our Workday transformation efforts. As part of a cross-functional team, you will collaborate with stakeholders across People, Payroll, IT, Finance, and international offices to optimize and scale our HR systems and processes. This role is ideal for someone who is passionate about solving complex business challenges, driving innovation through automation, and delivering a best-in-class user experience. Job Duties and Responsibilities Key Responsibilities Own the end-to-end architecture and technical design of Workday Extend applications, integrations, and supporting technology solutions. Define scalable, secure, resilient, and maintainable application architecture, integration architecture, data flows, API strategies, and technical standards . Architect and lead the development of complex Workday Extend applications using TypeScript/JavaScript, Workday APIs, and Extend frameworks. Architect enterprise Workday integrations using Workday Studio, EIB, Core Connectors, RaaS, REST APIs, SOAP Web Services, and Workday Web Services . Evaluate business requirements and determine the appropriate solution across Workday configuration, Extend, integrations, APIs, AI, cloud services, and third-party platforms . Establish architectural patterns and reusable frameworks fo

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The International engineering team's mission is to expand Robinhood's products globally and scale our platform to support millions of new customers in diverse markets. We build and maintain experiences across onboarding, funding, account setup, localized product experiences, growth incentives, and platform capabilities to operate in new jurisdictions. Our engineering team partners closely with product, design, compliance, marketing teams, along with an array of platform engineering teams to launch new products and optimize user acquisition globally. We prioritize technical rigor, system reliability, and quick execution to deliver reliable products to our growing customer base. Our culture is centered on clear communication, strong team partnership, and a commitment to helping people manage their financial lives! As an Engineering Manager , you will lead a team of software developers to drive some of Robinhood’s most important international launch initiatives. You will be responsible for driving the architecture and execution required to launch crypto and other financial products in new regions, while shaping the reusable systems that make future launches faster, safer, and m

About the Team OpenAI's Environmental, Health & Safety (EHS) team partners across the company to enable safe, responsible growth. This role will be a senior EHS partner to our robotics operations as our operating footprint expands. You will work closely with Robotics, Engineering, Operations, Facilities, Workplace, Construction, Security, People, Legal, and external partners to integrate safety into how our facilities are designed, built, staffed, and operated. About the Role We are seeking a Senior Manager, EHS - Robotics to provide senior, hands-on safety leadership across multiple sites. This role is for an experienced EHS leader who can operate independently in a fast-moving technical environment, anticipate risk before it becomes an incident, and build practical safety systems that scale with the business. Our robotics operations are scaling quickly, with a growing mix of construction, commissioning, workforce expansion, and around-the-clock operations. This creates a complex and evolving risk environment and requires strong preventive planning, consistent field presence, and sustained incident-management oversight. This leader will own site-level EHS strategy and execution for the robotics portfolio while partnering with the broader EHS team on company-wide standards and programs. The successful candidate will look around corners: planning for future ramps, identifying requirements early, influencing design and operating decisions, and creating durable systems that enable teams to move quickly without compromising safety. In this role you will: Serve as a senior EHS partner across robotics R&D operations, owning site-level safety strategy, priorities, and execution as the footprint scales. Anticipate EHS requirements for new operations, equipment, processes, construction phases, staffing ramps, and 24/7 operations, and translate them into practical plans before work begins. Lead proactive risk identification and control across robotics activities, incl