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The Problem to solve Utility systems weren't built to connect seamlessly with a DER platform. CIS holds the customer record, while ADMS and Grid DERMS drive real-time grid decisions. Each system operates with its own data model, security posture, and review process. You will be the key leader who transforms that fragmentation into a coherent, streamlined integration strategy. The Role As the Lead Product Manager, you will own how EnergyHub connects and integrates with utility operational systems, ensuring we understand our mutual end-customers (CIS), manage distribution grid conditions (OT systems), and unlock automation opportunities that drive value. This is a focused mandate where you will own the utility-facing integration surface end to end. Over time, your team will leverage internal APIs built by core platform teams to solve the "last-mile" challenge, building a robust set of outward connectors and an ecosystem of software vendors and system integration partners. This role reports to a Director of Product and will collaborate with stakeholders across the company, including other product managers, engineers, data scientists, sales, solutions engineering, and client success. Why this role matters You are the technical face of EnergyHub inside utility control rooms and IT departments. Strong utility relationships depend on whether client technical teams trust and derive long-term value from our integrations. Sticky integrations drive both revenue growth and client retention. Your products will save time for customers, unlock new VPP use cases on the grid, improve renewal rates, and boost post-integration NPS scores. What you’ll do Own the product roadmap for utility system integrations across CIS, ADMS, and Grid DERMS, balancing multiple integration channels to optimize investment across each. Extend internal APIs outward into a polished, cohesive, and highly performant public API surface. Drive enrollment automation logic to seamlessly onboard customers and the

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless. Location: Remote - United States About the role: We are seeking a deeply experienced and visionary Head of Fraud Product to lead the strategy, development, and execution of Sardine’s core fraud prevention suite. In this role, you will own the end-to-end product lifecycle for our fraud solutions, ensuring we stay multiple steps ahead of bad actors. You will lead a talented team of product managers and collaborate tightly with engineering, data science, risk operations, and go-to-market teams. The ideal candidate is a seasoned product leader with a relentless passion for risk

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. Overview The ISV Ecosystem team sits within the Okta Products and Technology organization and is focused on expanding our breadth and depth of SaaS integrations across both Okta Workforce and Auth0 product areas, a C-level priority for the company. Our team ensures SaaS ISVs (independent software vendors) have the knowledge, tools, and incentives to build integrations that extend our core product functionality. We are driving the formation and adoption of new identity standards focused on building an interconnected and secure AI ecosystem. Okta’s ecosystem is a core differentiator, and developing a scalable approach to ecosystem development will be a critical driver of our next stage of growth. As the ISV Ecosystem Growth Manager , you will build and scale the programmatic engine that attracts, converts, and activates ISVs into the Okta Integration Network (OIN). Rather than traditional product-selling or consumer acquisition, this role focuses on designing growth loops targeting multiple personas (Product, Developers, Partnerships) and articulating the business value of supporting open identity standards. You will work in close partnership with leaders across Product, Product Marketing, Marketing Operations, IT, Developer Relations, and Digital teams to scale our ISV ecosystem. Responsibilities Programmatic Partner Acquisition (Top-of-Funnel): Design and execute multi-channel growth programs targeting product, engineering and partnerships leaders to drive

GAQ327R229 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The Senior Director of Procure to Pay (P2P) is a senior operational and strategic leader responsible for owning the global P2P engine — spanning procurement operations, third party risk and onboarding, accounts payable, financial controls, and the systems and automation infrastructure that tie them together. This role will transform P2P from a transactional function into a scalable, intelligent operating model: automating end-to-end workflows from intake through payment, deploying AI-driven orchestration for approvals and exception handling, and establishing real-time spend visibility and controls across all third-party spend. The impact you will have: P2P Strategy & Operating Model Define and execute the global P2P strategy, establishing a unified, scalable operating model that spans procurement operations and accounts payable across all geographies and business units. Build and own the P2P transformation roadmap, prioritizing initiatives across automation, AI-driven workflow orchestration, systems modernization, and process standardization. Establish a cohesive governance framework covering policy, controls, approval authority, and compliance — ensuring the P2P function operates with financial rigor and audit readiness at all times. Serve as the executive voice of the P2P function, translating operational performance into clear narratives and strategic recommendations for CFO and cross-functional leadership. End-to-End P2P Automation (Intake → Payment) Own the full automation agenda across the procure-to-pay lifecycle — from intake and requisition through purchase order issuance, goods receipt, invoice processing, and supplier payment. Lead the design, deployment, and continuous optimization of automated workflows that eliminate manual effort, reduce cycle times, and increase throughput without adding headcount. Pa

The Quality Engineer will interact with Corporate Quality, Field Quality, Manufacturing, Design Engineering, and fleet operations to ensure the products released to service are meeting design specifications, functionality, customer expectations, and required documentation. The successful candidate must have the ability to meet tight deadlines, have strong interpersonal and communication skills, be detail-oriented, and be able to work independently. In this role, you will: Manage quality issue tracking to implement Containment, drive Root Cause Analysis and Corrective Action for non-conformances identified during production quality audits and vehicle release process. Support diagnosis of issues reported during Rider Quality Audit and EFR process ; establish standard inspection process and define required tools. Design, champion, and execute strategic continuous improvement initiatives to enhance the effectiveness and efficiency of production quality audit, EFR and issue resolution Work cross-functionally with Supplier Quality, Manufacturing and Vehicle Development to strategically resolve systemic product and process issues. Support develop and review of PFMEA and Control Plans to ensure compliance and robust risk mitigation strategies for all critical manufacturing processes. Good ability to communicate technical results clearly and accurately and drive issues to successful closure. Qualifications BS in Mechanical, Manufacturing, or Industrial Engineering Minimum 8 years of experience in a manufacturing environment, preferably automotive, aviation or contract manufacturing. Proven expertise in advanced problem-solving methodologies (e.g., Shainin Red X, Six Sigma Black/Green Belt) and demonstrated success driving systemic quality improvements across the value stream. Strong planning, organizational, analytical, negotiation, interpersonal, decision-making, oral

About the Team DoorDash is seeking a seasoned Engineering Director to lead our Logistics Org. You’ll lead a multi-disciplinary organization of 100+ engineers (Backend, Mobile, Machine Learning, and Operations Research) to architect the intelligent, real-time systems that comprise the "brain" of our fulfillment engine. This organization builds the optimization engines and high-throughput AI platforms that guide millions of Dashers and deploy tens of millions of dollars in real-time. This team sits at the heart of DoorDash’s fulfillment ecosystem, powering the delivery and courier data that drives our logistics engine. We build the foundational models and workflows that enable our customer teams (Order, Shopping, and beyond) to build extensible solutions on top of the platform. About the Role DoorDash is seeking a Director of Engineering with a deep background in Large-Scale Systems, Machine Learning, and Mathematical Optimization to lead our Logistics team in San Francisco. In this role, you are the architect of our three-sided marketplace. You will oversee the development of the core fulfillment platforms responsible for real-time dispatching, dynamic pricing task-allocation, ETAs and supply-demand balancing. This is a unique opportunity to marry complex algorithmic research with "five-nines" platform reliability. We are also looking for a leader who is deeply bought into the transformative potential of AI; someone who sees large language models, foundation models, and world model architectures not as adjacent curiosities but as core primitives for reimagining how logistics systems learn, plan, and adapt at scale. You’re excited about this opportunity because you will… Define the AI & Platform Vision: Drive the engineering strategy, transitioning bespoke algorithmic solutions into a unified, scalable AI/Optimization platform. Architect Real-Time Decision Engines: Lead the development of systems that solve complex combinatorial problems (VRP, assignment, pricing)

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 Finance and Strategy Data Science builds the forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business. The team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. We partner closely with Finance and Strategy, GTM, and Product stakeholders to directly inform financial decisions across Stripe's entire business. The team combines technical depth, strategic thinking, and executive partnership that develops both technical and business expertise. What you’ll do Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You'll have a deep understanding of how to drive efficient data science teams and you'll have a strong user-focus. You'll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership. Responsibilities Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven. Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing. Lead and manage proc

About the Team The Merchant (Mx) AI/ML team is a cornerstone of DoorDash’s merchant organization. We empower our restaurant partners to thrive on DoorDash by building intelligent, scalable AI systems that simplify operations, elevate their digital presence, and enhance customer engagement. Our world-class machine learning engineers develop production-grade AI solutions that power the entire merchant lifecycle — from onboarding and store setup to menu management, growth, and real-time order operations. The team is deeply customer-obsessed and impact-driven, focused on turning cutting-edge research in LLMs, multimodal learning, generative AI, and agentic automation into products that make our merchants more successful every day. About the Role We’re looking for an Engineering Manager to lead the Mx AI/ML team, driving the design and deployment of next-generation AI product solutions that power our merchant experiences. This is a highly cross-functional leadership role — you’ll collaborate with product, design, operations, and data science teams to define the AI roadmap, guide technical direction, and deliver end-to-end AI/ML solutions at massive scale. You’ll lead a team of talented ML engineers who are building real AI products delivered to merchants’ fingertips, helping them become more successful on DoorDash. You’re excited about this opportunity because you will… Lead and grow a team of exceptional AI/ML engineers developing production-grade machine learning and generative AI solutions for the merchant ecosystem. Define a multi-year strategy and execute the AI roadmap across key Mx pillars — Onboarding, Menu Media Understanding & Generation, Menu Metadata Intelligence, and Agentic Task Automation. Partner with product and operations to translate merchant pain points into scalable AI-powered solutions. Own the end-to-end lifecycle of ML systems — from ideation and experimentation to productionization and continuous improvement. Drive innovation in multimodal AI

Scale is the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. We are looking for an AI Product Manager to support Multimodal & Coding AI data verticals, including audio, image, video, and world models. This role is designed for someone early in their product career who is excited about AI and wants to develop into a full AI Product Manager over time. In this role, you will work closely with Senior AI Product Managers to drive execution across product, operations, and customer programs. You will help coordinate cross-functional initiatives, manage project timelines, support customer engagements, and contribute to product discovery and data development efforts. This position offers a clear growth path into AI Product Management, with increasing ownership of products, customer relationships, and business outcomes. You Will Partner with Senior AI Product Managers to drive execution of strategic initiatives across Coding, Agentic, and RL data products. Coordinate cross-functional projects across operations, engineering, research, and go-to-market teams to ensure timely delivery of customer commitments. Track program milestones, risks, dependencies, and deliverables while driving accountability across stakeholders. Support customer engagements by preparing materials, documenting requirements, coordinating follow-ups, and helping manage project execution. Assist in defining data specifications, reviewing data quality, and identifying opportunities to improve product performance and operational efficiency. Conduct market, customer, and competitive research to inform product strategy and roadmap decisions. Contribute to the development of new AI data products, tooling, and evaluation workflows. Develop a strong understanding of frontier AI models, agent sys

Job ID: 111270 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. Responsibilities: Responsible for influencing product roadmaps through analytics and financial and business modeling. Develop hypotheses and analytical frameworks for understanding pricing dynamics and market outcomes. Analyze collected data and extract information relevant to problems. Work closely with product leads to build efficient tools, systems, and processes to manage pricing and driver earning at scale. Develop and test quantitative models, support software, and analytical tools. Experience: Education and Experience: Master's degree or foreign equivalent in Operations Research, Analytics, or related field. 3 years of experience in job offered, analytics, or related occupation. Skills: Experience with quantitative analysis, predictive modeling, and machine learning. Experience with programming languages, analytical software, and database applications. Experience with business analytics and authoring data pipelines. Experience with optimization and programming, including C++, R, Python, and algorithms. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, col

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 You’ll be a hands-on sales leader who can coach in the moment, raise performance standards, and turn operating rigor into better customer outcomes. You’ll partner closely with Growth, Marketing, Operations, and Product to improve how the region creates pipeline, runs deals, and delivers a consistently strong customer experience. Mission Build and lead a high-performing commercial sales organization across EMEA that consistently turns pipeline into durable revenue while raising the bar on coaching, operational discipline, and customer value. What You’ll Own Lead, coach, and develop a team of Account Executives focused on the commercial segment across the UK and EMEA Drive pipeline generation, deal execution, and consistent attainment of regional revenue targets Build a strong operating cadence around forecasting, pipeline inspection, deal reviews, and rep development Hire, ramp, and retain high-performing talent while creating an ambitious, inclusive, and motivating team culture Improve sales process scalability through better use of data, performance metrics, and repeatable best practices Partner closely with Growth, Marketing, Operations, and Product to improve conversion, support key accounts, and remove friction in the customer journey Lead with a customer-first approach and reinforce high standards for thoughtful, value-based selling Report on performance, pipeline health, forecast accuracy, and improvement opportunities to senior leadership Required Qualifications Significant experience leading SaaS sales teams in a commercial or mid-market motion Strong knowledge of selling into UK and broader EM

Job Title Program Manager, Exploratory Innovation Teams (Cambridge, MA) Job Description Program Manager, Exploratory Innovation Teams (Cambridge, MA) We are seeking a strategic and entrepreneurial program manager to help advance the Exploratory Innovation Teams (XITE) program within Philips Research. You will work closely with the Exploratory Innovations Program Lead and cross-functional partners to manage the portfolio, support strategic decisions, and improve the way the program operates through practical, AI-enabled processes. This is an opportunity to build experience at the intersection of healthcare innovation, strategy, and execution. Your role: Manage core XITE portfolio processes, including calls for proposals, project intake, evaluation support, governance materials, and project tracking. Support the delivery of selected innovation projects as a program manager, partner with internal teams and external collaborators to understand priorities, coordinate decisions, and track progress. Create, and refine AI-enabled workflows that make portfolio processes more efficient, consistent, and insight-driven; use sound judgment around data quality, validation, and responsible use. Develop clear executive-level presentations, portfolio updates, and decision materials for leadership discussions within and outside Research. Track and communicate portfolio performance during and beyond the program, to identify opportunities for continued improvement. You're the right fit if: You’ve acquired 5+ years of experience in innovation, program management, consulting, or a related role, ideally in health technology, research, or a technology-driven environment. You have experience supporting or managing a portfolio of initiatives, projects, including tracking financial and non-financia

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Drive Benchmarking Capabilities Align AMHS practices, projects, and equipment performance to meet or exceed benchmarking capabilities. Regularly report on benchmark performance through weekly metrics reporting. Maintain ongoing dialogue with global counterparts; Strive to implement Best Known Methods. Partner with Planning, Purchasing, and Manufacturing to monitor and model system performance and capacity. Identify future capacity and/or performance gaps before they are realized and propose solutions to mitigate or resolve those gaps to ensure optimal system performance. Ensure the department operates within budget and identify methods to save cost. Establish a succession plan for all key positions within the department. Manage vendor relations to ensure equipment performance and project obligations are being met. Work with Planning, Purchasing, and OCT as needed for equipment purchases. Actively sponsor change initiatives within the sphere of influence. Drive AI-enabled operational excellence by leveraging advanced analytics, machine learning, digital twins, and Generative AI tools to optimize AMHS performance, predict capacity constraints, improve decision-making, and accelerate continuous improvement initiatives. Project Management Drive a culture of project management within the AMHS team. Prioritize and approve projects to align with company goals and Strategic Objectives. Manage, measure,

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Develops, implements, and maintains methods, operation sequences, and processes in the manufacture or fabrication of parts, components, subassemblies, and final assemblies. Interfaces with design engineering to coordinate the release of new products. Estimates manufacturing costs, determines time standards, and makes recommendations for tooling and process requirements of new or existing product lines. Maintains records and reporting systems to support and coordinate manufacturing operations. Leverages Artificial Intelligence (AI), machine learning, and data analytics tools to optimize manufacturing processes, improve operational efficiency, enhance yield performance, enable predictive maintenance, automate data analysis, and support data-driven decision-making across manufacturing operations. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from th

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. AI & Analytics Strategy and Roadmap Lead the Intelligence Analytics function and define the AI, advanced analytics, and data science roadmap aligned with business strategy, operational priorities, and digital transformation goals. Business Value & Use Case Development Partner with business, operations, engineering, and IT stakeholders to identify and prioritize high-value AI and analytics opportunities, translating complex operational challenges into scalable, actionable solutions. End-to-End AI Solution Delivery Lead AI and analytics initiatives from problem definition, data preparation and modeling through validation, production deployment, adoption, performance monitoring, and lifecycle management, ensuring solutions are scalable, secure, reliable, and production-ready. AI Technical Excellence & Governance Establish technical standards and best practices for data quality, feature engineering, statistical methodology, model performance, explainability, governance, and responsible AI to ensure sustainable and trusted AI solutions. AI Platform & Capability Development Collaborate with data platform and engineering teams to build reusable AI, GenAI, advanced analytics, and automation capabilities that accelerate solution development and enable broader AI adoption across the organization. Data-Driven Operations & Adoption Drive AI-enabled and data-driven decision-making by converting analytics