Hr Business Partner Director Jobs

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

About Pinecone: Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team/Role: This is intended to be an entry level role for new grads/early career professionals. As an Associate Field Engineer, you'll work amongst our Customer Success and Solutions Engineering teams, building deep technical expertise and tooling to directly impact the core product and customer experience. You'll engage with technical stakeholders across the customer lifecycle, from helping prospects understand how Pinecone fits their architecture to guiding existing customers through implementation, optimization, and expansion. You'll collaborate closely with Sales, Product, and Engineering to scope solutions, troubleshoot complex issues, and surface customer insights that shape our product direction. Technical fluency, strong communication, intellectual curiosity, and an AI-first mindset are essential for this role. Responsibilities: Serve as a technical point of contact for customers across their journey from evaluation to production, ensuring best practices and accelerating time-to-value. Deeply understand customer architectures, use cases, and requirements to influence our roadmap and devise solutions that unblock and advance their goals. Build resources to monitor customer health, proactively identifying opportunities to address risk and drive expansion. Troubleshoot issues and deliver high-quality technical support, developing a strong command of Pinecone's product and the broader AI/ML ecosystem. Build processes and capture knowledge to scale and automate support, success, and outreach initiatives. Partner with Sales on technical discovery, deliver product demonstrations, and contribute to proof

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

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. The role At Okta, we believe AI will fundamentally transform how design, research, and product development happen. We are looking for a Senior Design Operations Program Manager, Agentic Design to lead the operationalization and enablement of internal AI agents, plug-ins, and automated workflows across our Design team — reimaging how designers create in the AI era through internal AI agents. In this role, you will bridge the gap between AI tooling capabilities and practical design ops execution. You will partner closely with design, product management and design systems to govern, evaluate, deploy, and scale AI-driven design capabilities — making our 60+ person design org dramatically faster, more consistent, and highly innovative. This is a tactical, execution-focused builder role for an operations leader who is deeply curious about AI tools, understands modern UX workflows, and excels at change management, team enablement, and operationalizing new frameworks. What you'll do AI & Agentic Design Enablement Serve as the operational connective tissue driving AI adoption, evaluation, and workflow integration across Product Design, UX Research, and Content Design. Manage the intake, evaluation, and approval process for design plug-ins, Model Context Protocol (MCP) integrations, and generative AI tools (e.g., custom content design assistants, design-to-code agents). Partner with internal engineering teams to operationalize, ship, and drive adopt

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

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Global Capacity Manager focused on TPUs at Baseten, you will lead the "engine room" for our non-NVIDIA accelerator fleet, architecting, securing, and optimizing the Google Cloud TPU (and broader emerging accelerator) capacity that powers our customers' AI workloads. You'll own the end-to-end journey of capacity management for this fleet, from securing large-scale TPU pod allocations to building the automation that ensures reliable uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering, with a specific focus on the TPU ecosystem. You will act as the fleet orchestrator for Google's TPU architecture, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics as we diversify beyond NVIDIA. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the latest generation of TPU hardware, like Google's Trillium (v6e) architecture, and partnering closely with the Model Performance (MP) team to ensure workloads are tuned for TPU-specific execution. EXAMPLE INITIATIVES The TPU Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's TPU clusters, including pod slicing and topology planning Global Workload Orchestration: Bui

About the Team OpenAI's Industrial Compute organization builds and operates the infrastructure required to train and serve frontier AI models. The Capacity Planning team connects rapidly changing research and product demand with the compute, networking, storage, power, data center, hardware, and operational resources required to make that demand executable. About the Role We are seeking a Technical Program Manager to build and lead capacity planning across OpenAI's large-scale AI infrastructure. You will translate uncertain workload demand into clear infrastructure requirements, allocation decisions, supply commitments, activation priorities, and long-range capacity strategies. This role sits at the intersection of research, engineering, infrastructure, finance, sourcing, deployment, and operations. You will create the planning models, operating cadences, governance mechanisms, and source-of-truth systems that allow teams to understand what capacity is required, what is available, what is at risk, and what decisions must be made. This is not a finance-only forecasting or reporting role. Success requires technical fluency across the infrastructure stack, strong analytical judgment, and the ability to move consequential decisions forward when requirements, timelines, and supply conditions change quickly. Key Responsibilities Own capacity-planning processes across near-term workload allocation, quarterly execution, and longer-range infrastructure horizons. Translate research, training, inference, and product demand into compute, accelerator, cluster, networking, storage, rack, power, and site requirements. Develop scenarios that make assumptions, confidence levels, constraints, sensitivities, and decision points explicit. Reconcile requested demand against contracted, delivered, installed, activated, and workload-usable capacity. Partner with research and engineering teams to understand workload priorities, technical dependencies, utilization patterns, and changing req

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we believe in a virtuous cycle where customer success fuels improved revenue performance . Our Account Manager role is a pivotal function of an updated pod structure that sits at the intersection of Customer Success, Sales, and Product. Focused squarely on securing and growing our existing revenue base. We are a passionate, upbeat, and highly motivated group committed to exceptional customer loyalty, support, and expansion. We are seeking an Account Manager to join our team and make a positive impact in the continued success and growth of our organization. In this critical role, you will be a driver of retention, adoption, and expansion. Strong leadership ensures positive relationships and alignment across Product, Marketing, and Sales, and Support. If you are passionate about building deep, strategic customer relationships and thrive in a quota-carrying environment, let's talk! What you'll do You will utilize your skills in customer success, renewals, and sales methodologies to exceed customer expectations and deliver value across multiple key performance indicators. Drive Revenue & Retention Pod Collaboration: In partnership with the Account Team, you will function as a secondary seller within a unified pod structure. This role is essential in supporting the Account Executive (Core Seller) through seamless cross-functional alignment and collaborative deal execution. You will review areas of opportunity (whitespace

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. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the Team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers. Responsibilities: Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform Balance feature development speed and reliability with service-level objectives Operate and improve our Infrastructure using industry best practices and tools Participate in design and

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

As a Senior Curriculum Engineer, you'll work with a team of creative educators and software engineers dedicated to building the future of online technical education, developing courses for MongoDB University . MongoDB University is the online training department of MongoDB and is chartered with building high-quality training at a basic and advanced level across the entire MongoDB product stack. The University team is focused on creating skill-based learning content designed to equip enterprise users and a general audience with the core skills needed to use MongoDB successfully. Your work will directly impact the learning experience of millions of developers around the world, helping them become experts in the field by honing their skills on the fastest-growing modern database. This role will be based remotely in Ireland. What You’ll Do You’ll work closely with a team of curriculum engineers, curriculum designers, and in-house subject-matter experts to build course materials focused on upskilling enterprise customers. You'll write presentations for our partner teams, design hands-on activities, and deliver content, ensuring these MongoDB learning resources are relevant, interactive, and reflect the challenges developers encounter in the real world. In this role, we expect you to continually deepen your knowledge of MongoDB and become an expert in a subset of its offerings. You will articulate the key concepts and skills that need to be covered in a training course, write course materials for an enterprise audience, design the hands-on exercises, and also support the creation of skill badges that assess a learner's knowledge. If you are a current software developer or a system administrator, you will be able to add a lot of value to the team as we strive for our training to be from experts who already use our products or similar offerings. If you are new to MongoDB, you'll be expected to learn MongoDB products quickly and articulate how they work.&nb

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. Interns work side-by-side with top engineers in the industry while having autonomy from the get-go. They contribute to user-facing products and are able to see their work go live quickly. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours? Responsibilities: Own your project, while checking in with other team members throughout the day with questions and updates You leave the code in a better state than when you found it (progressive refactor) You value reliability, ensured by testing (unit, integration and load tests) Participate in code reviews to ensure code quality and distribute knowledge Continuous integration and deployment Go home knowing that your work today is meaningfully improving the lives of every Lyft driver and every Lyft passenger! Experience: Currently pursuing a Bachelor's or Master's degree in Computer Science from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for an internship in Toronto Strong knowledge of CS fundamentals Knowledge of Python, JavaScript, CSS, and HTML Experience working with leading JavaScript frameworks, like React Experience with modern frontend testing tools, such as Webpack, Babel, Jest, Jasmine, Protractor, and WebDriver Understanding of how browsers and DOM work Experience with Git or other distributed version control systems Experience with browser developer tools Experience with the Unix command line interface Solid understanding of web performance Experience with TypeScript Experience with CSS

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Software Engineer for our Anti-Abuse team within Security Foundations. This team is responsible for protecting Snowflake and our customers from abuse on the Snowflake platform — building foundational security primitives across a complex multi-cloud environment to combat fraud, account takeovers, data exfiltration, and AI security threats at the scale of Snowflake’s hyper-growth. AS A SENIOR SOFTWARE ENGINEER, SECURITY FOUNDATIONS AT SNOWFLAKE, YOU WILL: Design, build, and scale security-by-default capabilities that protect Snowflake products across a complex multi-cloud environment Develop intelligent security platforms and services that leverage AI/ML and risk scoring to identify, prioritize, and respond to security threats and policy violations Build real-time detection and prevention systems to defend against account compromise, AI abuse, and data exfiltration through adaptive enforcement and granular policy controls Create security intelligence and monitoring capabilities that detect suspicious account & user activity, generate actionable insights, and enable timely response Partner across Security, Engineering, and Product teams to define security strategy, influence product design, and drive adoption of secure engineering practices Raise the

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team builds next-generation AI-native silicon and systems while working closely with software, research, and manufacturing partners to co-design hardware tightly integrated with AI models. In addition to delivering systems for OpenAI’s supercomputing infrastructure, the team develops the tools, methodologies, and strategic partnerships needed to accelerate hardware innovation. About the Role We’re seeking an experienced Hardware Strategic Sourcing Manager to own sourcing strategy and supplier partnerships for fiber and optical interconnect components across OpenAI’s next-generation AI infrastructure. Reporting to the Head of Partnerships & Strategic Sourcing, you will lead sourcing across fiber cable assemblies, internal optical harnesses, fiber shuffles, optical backplane assemblies, connectorized and standalone passive optical assemblies, fiber-array units (FAUs), fiber-to-chip and coupling interfaces, detachable connectors, optical routing, and assigned optical packaging, assembly, and test services. You will work closely with electrical engineering, optical engineering, systems engineering, mechanical and packaging engineering, quality, rack integration, data-center deployment,manufacturing, supply chain, finance, legal, and program management teams to translate demanding bandwidth, signal integrity, reliability, and scale requirements into resilient supplier partnerships and scalable commercial strategies. Your work will directly support the performance, reliability, manufacturability, and scale of the high-speed optical connectivity required for OpenAI’s next-generation AI systems. In this role, you will: Develop and execute a comprehensive sourcing strategy for fiber and optical interconnect components supporting high-bandwidth AI systems and infrastructure. Own sourcing across optical fiber cable assembli

About the Team OpenAI’s Industrial Compute organization is building the infrastructure required to develop and operate increasingly capable AI systems at global scale. The Manufacturing Operations team works across Hardware Engineering, Manufacturing Engineering, Manufacturing Quality, Rack Integration, System Enablement, Supply Chain, Logistics, Deployment, and Hardware Operations to convert complex hardware designs into reliable production systems. We partner closely with ODMs, JDMs, contract manufacturers, and component suppliers to ensure that servers, racks, networking equipment, and supporting infrastructure are manufactured, validated, and delivered at the quality and scale required by OpenAI. About the Role We are seeking a Technical Program Manager to lead manufacturing operations programs across OpenAI’s hardware supply base in Singapore and the broader APAC region. You will own cross-functional execution from new product introduction through production ramp and sustaining operations. You will coordinate manufacturing partners and internal engineering teams around factory readiness, capacity, material availability, build plans, validation, quality gates, issue resolution, and delivery commitments. This role requires strong technical fluency, disciplined program management, and the ability to operate directly with manufacturing partners in fast-moving, high-stakes environments. You should be comfortable working at both the factory floor and executive-review levels, translating complex manufacturing conditions into clear risks, decisions, and recovery plans. This role is based in Singapore and requires regular travel to manufacturing partners across the APAC region. Key Responsibilities Lead manufacturing operations programs for AI servers, racks, networking systems, and related infrastructure across regional manufacturing partners. Own integrated program plans spanning NPI, factory readiness, material availability, tooling, test development, qualification,