Large Enterprise Account Executive Okta Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location 990 Bendemeer Road, Singapore 339942 (MSB) Department Manufacturing Test, MSB Project Title Faster Manufacturing Metrics Analysis and Drift Detection Using Advanced Data Analytics and Machine Learning Project Description Data analytics and machine learning are used in manufacturing operations to improve efficiency and provide greater visibility into production-line health. Large volumes of data are generated from electrical tests, physical tests, and manufacturing measurements, creating opportunities for faster analysis and earlier detection of abnormal performance. This internship project focuses on developing an end-to-end analytical solution covering data querying, preprocessing, feature engineering, modelling, and results visualization. The intern will apply advanced analytics and machine learning techniques to manufacturing data to improve metrics analysis and identify potential performance drift. Through this project, the intern will gain exposure to industrial data analytics, predictive modelling, simulation, optimization, and visualization techniques used in semiconductor manufacturing. Objective of the Project Develop an end-to-end analytics solution for faster ma

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. 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. As an AI Reimagination Engineer in Micron's Generative AI Center of Excellence (GenAI COE), you have an outstanding chance to transform how businesses function. You will partner with different business areas to break down large, manual, multi-step processes and redesign them into effective, autonomous systems. This position combines process reimagination with AI systems engineering, making you a key part of the transformation journey. You will collaborate closely with the GenAI COE, IT architecture, security, and project teams. You will lead projects from the initial redesign to the final build, delivering solutions that business teams can adopt and scale. Responsibilities: Decompose end-to-end processes: Map current-state flows, quantify effort and risk, and lead eliminate/simplify/agentify analysis before automation. Architect the agentic solution: Build future-state flows and AI architecture, including task and agent decomposition, orchestration patterns, tool and data access, memory and context strategy, and human-in-the-loop controls. Translate inventions into buildable soluti

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Content Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding. Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Cross-Functional Product Architecture: Partner closely with Product Management, Product Design, Data Science, and Client Engineers (iOS/Android/Web) to translate business and user needs into reliable, low-latency technical solutions. End-to-End Delivery: Own the full software lifecycle for major product initiatives from technical design docs and API contracts to development, testing, rollout, and observability. Metrics & Experimentation-Led Enginee

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

Datadog AI Research — Scholars Program with Carnegie Mellon University Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support a small number of PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR. You will frame a problem, run your own experiments, and write up what you find, with compute and data at a scale most academic labs cannot provide. You will collaborate with colleagues working on the same questions. The Lab And The Research: DAIR is an industrial research lab motivated by practical challenges in observability and software operation: detecting and diagnosing failures, understanding complex production environments, and helping engineers operate software more effectively. The lab focuses on creating specialized foundation models, post-training and evaluating AI agents, and building frontier-scale machine learning systems. By combining fundamental research with Datadog's large-scale, real-world data and infrastructure, the lab develops new AI capabilities and translates them into practical systems with meaningful impact. Internship projects are shaped with your DAIR mentor and your CMU faculty advisor. You do not need prior experience with observability, monitoring, or infrastructure. What You'll Do: Own a research project end to end: framing the question, running the experiments, writing it up Work directly with a DAIR mentor engaged in the same problem, and stay connected to your advisor and lab Publish, and use the work toward your dissertation See research reach production, when it works Who You Are: Currently enrolled in a PhD program at Carnegie Mellon in machine learning, computer science, statistics, or a related field Depth in at least one area relevant to the research above Comfort running real experiments — training models, working with GPUs, reading and reimplementing recent papers Evidence you can do research: conference or workshop papers, preprin

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 Client Infrastructure team is dedicated to building software that addresses challenges at a large scale, ensuring that our mobile applications are stable, scalable, and efficient. As a Mobile Engineer on the Mobile Foundations team, you will create and maintain foundational systems that all Lyft mobile engineers rely on, enabling teams across Lyft to deliver rich experiences that connect people and places. You will build scalable infrastructure, helping developers move fast and innovate, while ensuring Lyft's mobile developer experience remains at the forefront. Your work will have a multiplicative effect across Engineering and contribute directly to Lyft's overall stability. Our apps are used by millions of people, and we take great pride in our work, which means adhering to excellent development practices, careful code architecture, and an organization built around rapid releases. Our codebase is written entirely in Swift, utilizing modern design patterns and coding standards. We rely on third-party libraries and actively contribute back to the community, including the Swift language itself. Who are you: You are an enthusiastic and experienced mobile developer looking to use your engineering skills to improve developers’ ability to ship new features quickly. You get excited about new Swift features and compile improvements. You find delight in building the foundations and frameworks to accelerate the development of others, hiding away the complexities of the system. You are a diplomat who looks at the landscape and aligns engineers from different teams around a common pattern. You are excited about scaling millions of lines of Swift code to hundreds of mobile developers. You take initiative to identify and improve processes and solve problems proactively. You take pride in writing clean, mainta

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: Notion is looking for a Forward Deployed Engineer focused on migrations to join our growing team in India. You will help deliver complex, production-grade data migrations, integrations, and automations for customers across APAC. This is initially an internally focused, hands-on engineering role. You will partner closely with regional Forward Deployed Engineers, who own customer discovery, solution architecture, stakeholder communication, risk management, and final customer validation. You will own the behind-the-scenes technical execution layer from feasibility assessment and implementation through testing, production rollout, QA, reconciliation, reporting, and operational handoff. You will work across multiple customer environments and source systems, often with incomplete requirements, imperfect data, and real-world constraints. Success requires strong engineering fundamentals, sound judgment, careful validation, and the ability to turn one-off delivery work into reusable tools and repeatable playbooks. As a founding engineer in India, you will help build a new regional engineering capability from the ground up. You

We are seeking an experienced Trading Analytics Developer to join our Quant Trading team and play a pivotal role in advancing our data and AI infrastructure. This role combines traditional quantitative development with cutting-edge AI platform engineering, focusing on building robust, scalable systems that serve both data analytics and artificial intelligence workloads. The ideal candidate will bridge the gap between high-performance trading systems and modern AI capabilities, ensuring reliability, performance, and actionable insights across both domains. Job Responsibilities Data Platform & Analytics Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools Develop and optimize analytical data models for time-series, financial metrics, and trading activity Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture Build idempotent data pipelines with robust backfill and reconciliation capabilities Create comprehensive monitoring for data quality, freshness, and pipeline reliability AI Platform Development Design, build, and operate internal AI platforms serving multiple trading teams Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability Job Requirements Mandatory Foundations 5+ years production experience with both Python and Java in high-performance environments Strong software engineering fundamentals: system design, data struct

The Quant Trading team is responsible for trading and managing risks associated with different crypto products, including spots and derivatives. The team develops and implements trading strategies in fast-paced and complex trading environments. We are seeking an experienced Trading Analytics Developer to join our Quant Trading team and play a pivotal role in advancing our data and AI infrastructure. This role combines traditional quantitative development with cutting-edge AI platform engineering, focusing on building robust, scalable systems that serve both data analytics and artificial intelligence workloads. The ideal candidate will bridge the gap between high-performance trading systems and modern AI capabilities, ensuring reliability, performance, and actionable insights across both domains. Job Responsibilities Data Platform & Analytics Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools Develop and optimize analytical data models for time-series, financial metrics, and trading activity Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture Build idempotent data pipelines with robust backfill and reconciliation capabilities Create comprehensive monitoring for data quality, freshness, and pipeline reliability AI Platform Development Design, build, and operate internal AI platforms serving multiple trading teams Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity The Senior Risk Manager supports the Regional Head of Risk in overseeing financial and non-financial risks across the region. The role helps maintain robust risk frameworks, controls, governance, and reporting, while providing effective oversight and challenge to ensure risks are managed in line with the firm’s risk appetite, Group standards, and regulatory requirements. What You’ll Be Doing Support the Regional Head of Risk in overseeing financial and non-financial risks across the region’s entities, preparing analyses and recommendations for review. Maintain and enhance regional risk frameworks, internal controls, and governance documentation, ensuring alignment with Group standards and regulatory requirements across all relevant jurisdictions. Identify, assess, and monitor financial and non-financial risks—including operational, technology, cybersecurity, market, credit, liquidity, and reputational risks—against the firm’s approved risk appetite, escalating material changes, emerging risks, and potential limit breaches to the Regional Head of Risk. Support the implementation of risk and control self-assessments (RCSAs), monitor associated findings and remediation actions, and track relevant key risk indicators (KRIs). Review third-party a

RDQ427R198 The Opportunity Multi-cloud is core to Databricks product strategy. Compute serves as the layer that abstracts the cloud from the rest of the company. Building unified infrastructure on top of heterogeneous clouds is a challenge that few companies experience. As an engineer on this team, you won’t just manage infrastructure; you will build it as a product. You will tackle the hard problems of distributed systems: sub-second container/MicroVM startup times, multi-tenant security isolation, and building a unified orchestration layer that scales across AWS, Azure, and GCP. What You’ll Do Design and build the next generation of our Serverless platform, focusing on high availability, low latency, and scale-to-zero efficiency. Build a single compute stack that supports heterogeneous workloads, including GPU instance qualification for AI training and stateful execution for Lakebase. Solve Multi-Cloud Complexity: Develop platform-level abstractions that allow Databricks to run seamlessly across all major cloud providers. Optimize everything from the API gateway down to the host-level networking and container orchestration. Work alongside industry experts who have built world-class systems like Borg, Kubernetes, and Uber’s infrastructure. What We’re Looking For 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language 4+ years of experience developing large-scale distributed systems from scratch Experience with Kubernetes, Docker, or MicroVM technologies (e.g., Firecracker) and a strong grasp of cloud provider internals (AWS/Azure/GCP). You aren't just a user of tools; you understand how to build them from the ground up when existing solutions fail at our scale. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&n

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role Our Warehouse Supervisors at Stitch Fix are frontline leaders within our operations organization, responsible for leading large teams of hourly employees to achieve daily performance goals while fostering a positive and inclusive work environment. This role drives day-to-day execution within a core department while supporting broader site and company initiatives. You will partner with operations leadership and cross-functional teams to deliver strong business results, enhance team performance, and bring Stitch Fix’s culture and values to life. Responsibilities Lead, coach, and develop a large team of hourly employees to achieve daily operational and throughput goals Own daily workforce planning and execution, using data to identify trends, address gaps, and drive continuous improvement Deliver onboarding, training, and ongoing coaching to support employee growth and engagement Manage operational processes such as timekeeping, attendance tracking, and reporting with a high level of accuracy and attention to detail Use AI tools (e.g., ChatGPT, Copilot) and operational systems (e.g., workforce management platforms, Excel/Google Sheets, dashboards) to analyze performance and improve decision-making Champion innovation by implementing new processes, encouraging feedback, and driving efficiency improvements About You 4+ years of experience in a direct people leadership role, with a proven ability to lead, coach, and inspire teams Experience managing teams in a fast-paced warehouse, fulfillment, or operati

We are a team of engineers that translate our real-world experience to help our user communities solve problems. With a focus on service management, helping teams respond to incidents, run on-call, and automate their operations, you will work with practitioners and leaders across the industry and broaden your impact to the SRE, Engineer, DevOps, and Operations community at large. This is a unique opportunity to use both your engineering and creative storytelling skills to shape the landscape in cloud observability, incident response and service management. 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: Act as a subject matter expert for service management (incident response, on-call, IDP, Work Management, Workflow Automation, Agent Builder, and operational automation) for Datadog's advocacy and engineering teams Create content in one or more mediums to build Datadog's reputation as a leader in DevOps, Monitoring, Observability and Security e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more Partner with product engineering teams to build compelling demos, and coach internal engineering teams on effective communication and presentation Interface with open source communities to drive key messaging in the market and develop new integrations for Datadog Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code Who You Are: Approximately 5+ years of experience as a Platform Engineer, Site Reliability Engineer, DevOps Engineer or Software Developer with hands-on experience as an on-call/incident responder and running production systems in complex IT environments You have a strong understanding of core service-management practices

Small Girls PR is looking for an Experiential Production Director with 7–9 years of experience leading multichannel projects across in-person activations and digital experiences. This includes developing cohesive experiential strategies, managing client relationships, concepting standout experiences that drive social conversation and press coverage, overseeing technical execution, managing complex timelines and large budgets, and developing talented producers. Experience working with clients / brands within fashion and/or beauty is highly valued for this role. This role will serve as the senior day-to-day lead across experiential accounts and projects, connecting creative ideas and production plans to clients’ broader brand and business objectives. The Experiential Production Director will work closely with senior leadership, keeping them informed of campaign progress, strategic or budgetary shifts, client needs, team performance, and potential risks. The right candidate knows how to lead a campaign from ideation through post-production and can project manage in their sleep. They are also prepared to dive into the details, knowing that no task is too small in the world of events. This role will work with a wide range of creative and innovative brands across beauty and fashion, food and beverage, wellness, consumer technology, and more. Ideally this candidate has agency experience and is adept at client interface, in addition to execution. There is no one-size-fits-all for an SGPR client, which means your career will be enriched with meaningful and diversified experience. We’ve busted beauty myths with OLAY in Bryant Park, spotlighted Violife with a cheeky Election Day campaign, and reintroduced a Jack in the Box product as a “return from the grave” with a Halloween cemetery screening. From events and mailers to brand partnerships and hotlines, if the team can dream up an idea for audiences to see, do, or touch, our experiential team can produce it. Note: This role i

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE SpaceXSI is building and operating large-scale networks that underpin training and inference infrastructure, including high-performance / supercompute fabrics that connect GPU clusters, plus the core, edge, and datacenter networks that keep that infrastructure reachable and reliable. We need a Network Engineer who is strong on fundamentals and comfortable owning production network design, deployment, and operations end to end. This is a hands-on engineering seat — not a NOC technician role and not a network-software (telemetry/ZTP platform) SWE role. You will design and build networks, qualify platforms, ship changes safely, and keep availability and performance high as we scale. Travel to Memphis (and other build sites) may be required for capacity build-outs. You will participate in a team on-call rotation. RESPONSIBILITIES Design, deploy, and operate production datacenter and campus/core networks at scale Own routing and switching configuration standards (BGP and at least one IGP such as OSPF or IS-IS), including change design, peer reviews, and execution Qualify new network platforms, optics, and topologies; contribute to architecture and capacity planning &nb