Large Enterprise Account Executive Okta Jobs

The Digital Exp Grp Manager is accountable for management of complex/critical/large professional disciplinary areas. Leads and directs a team of professionals. Requires a comprehensive understanding of multiple areas within a function and how they interact in order to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Strong commercial awareness is a necessity. Generally accountable for delivery of a full range of services to one or more businesses/ geographic regions. Excellent communication skills required in order to negotiate internally, often at a senior level. Some external communication may be necessary. Accountable for the end results of an area. Exercises control over resources, policy formulation and planning. Primarily affects a sub-function. Involved in short- to medium-term planning of actions and resources for own area. Full management responsibility of a team or multiple teams, including management of people, budget and planning, to include performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval. Responsibilities: Partner closely with a cross-discipline team of creative talent, strategists and producers to invent and execute innovative brand experiences across a diverse range of channels including digital, mobile and bank branches Lead and conduct cultural trend reports, competitive reviews, opportunity assessments, target analyses, cross-channel audits, customer journeys, user research and usability studies, business requirement definition, digital roadmaps and much more Work directly with key internal stakeholders to understand their business, reach a shared vision of how to solve their problems while serving their customers, and ultimately help them to succeed Partner with design leaders to uncover the key questions to answer and guide user-centric design Coach

Leidos is seeking an experienced Smartsheet SME who is interested in supporting large information technology projects for our Utility Technologies Solutions team. In this role, you will be driving the execution and delivery of IT projects for our electric utility client. Additionally, you will ensure the successful delivery of projects while adhering Leidos' Mission, Vision, and Values. We are seeking a hands-on Smartsheet Solutions Architect to enhance and optimize an existing Smartsheet environment. This role will work directly with business and technical teams to improve workflows, dashboards, reporting, automation, and integrations with SAP and other SaaS platforms. This is not primarily a Smartsheet administrator role. The ideal candidate will be comfortable working directly in Smartsheet to design, build, test, and implement practical solutions. Location: Candidates local to Newark, NJ are preferred and must be able to work onsite at the client's office three days per week . Candidates located elsewhere on the East Coast will also be considered, provided they are able to travel to New Jersey. Salary : This is potentially a 3-month engagement paying a rate of $60-65/hr Responsibilities: Evaluate existing Smartsheet solutions and identify opportunities for improvement. Enhance sheets, dashboards, reports, forms, formulas, and automated workflows. Design and support integrations between Smartsheet, SAP, and other SaaS applications. Use APIs, connectors, middleware, or file-based data exchanges to support system integration. <sp

About the Team Netlify is a product-led growth company with an unusually large organic top-of-funnel, where tens of thousands of people discover and sign up for Netlify every day. That organic motion is real and meaningful, but paid acquisition is a new investment area for the marketing team, and there's a clear opportunity to build that capability from the ground up. As Senior Manager, Demand Generation & Performance Marketing, you'll own paid acquisition end to end - strategy, channel selection, budget, and the agency relationship that supports execution. You'll report to the CMO, with a planned transition to the VP of Growth Marketing as that function scales, and work closely with Marketing Operations, Data, Lifecycle, and Campaigns to make sure paid-acquired users don't just land, but convert and stick. This is a builder role at a company where the organic foundation is already strong, and your job is to build the paid layer that extends its reach. What You'll Do Build and own Netlify's paid acquisition strategy end to end, including paid search, paid social, retargeting, sponsorships, and any other channels worth testing and proving out. Own the call on where paid creates incremental value for Netlify. Design the tests, prove which channels and audiences drive growth our organic funnel wouldn't have delivered anyway, and decide where to scale, where to hold, and where not to spend at all. Manage the agency relationship(s) supporting paid/performance work by setting the brief, holding the agency accountable to targets, and deciding what to bring in-house as the function matures. Own budget planning, pacing, and ROI reporting for all paid spend, and make the case for where to double down or pull back. Partner with Marketing Operations to get attribution and UTM tracking right before scaling spend, so every dollar is measurable. Define target audiences and channel mix aligned to Netlify's ICP; partner with Product Marketing on messaging inputs for

About the Team pAGI Infra team builds and operates the systems that make large-scale model training and evaluation reliable, efficient, and easy to run. Our work spans distributed training infrastructure, inference and grading platforms, compute scheduling, and research tooling. We partner closely with researchers and engineering teams to turn new research needs into dependable infrastructure, improve GPU efficiency, and shorten the path from an experiment to a validated model. About the Role We’re looking for an AI Systems Engineer to help scale the infrastructure behind our training and evaluation workflows. You’ll own projects from identifying bottlenecks and designing solutions through deployment and operation. The work combines distributed systems engineering, performance optimization, and close collaboration with researchers. You might build a shared grading service, improve resource allocation across workloads, or bring a new training stack into production — directly improving how quickly and reliably research moves forward. In this role, you will: Build and operate infrastructure for large-scale training and evaluation, improving reliability, throughput, and resource efficiency. Develop shared inference and grading platforms with automated capacity management, health monitoring, and visibility into performance. Improve compute scheduling and resource allocation to reduce idle GPU time and help workloads recover quickly from failures. Diagnose bottlenecks across training, inference, and orchestration, and work across teams to improve end-to-end performance. Build self-service tools, automated validation, and observability that help researchers launch experiments, diagnose issues, and compare results with less manual intervention. You might thrive in this role if you: Are excited about the potential of personal AGI and want to build the infrastructure that enables it. Have strong software engineering fundamentals and experience building or operating large-scal

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. The Mission Instawork is building the data engine for the future of Physical AI. We are looking for a Head of Partnerships to build and lead our India business partners. You will be responsible for identifying, developing, and onboarding thousands of small, medium and large businesses across India to help build the pipeline for Robotics data collection. The opportunity is to connect Instawork's technology, labor marketplace, and operational scale with the world's leading robotics companies and turn real-world work into the high-quality data required to train and improve the next generation of physical AI. This is a highly entrepreneurial role for a senior partnerships leader who wants to build something from the ground up and work directly with company leadership. What You'll Own Build the Partnerships Engine for Small, Medium and Large businesses in India Own the partnerships strategy across hospitality, logistics, manufacturing, warehousing, retail, and other labor-intensive industries. Build and eventually lead the partnerships team, processes, systems, and operating cadence. Establish clear goals and metrics for pipeline generation and business acquisition Execute large business partnerships with industrial, co-operative and government bodies that work with multiple businesses Develop repeatable playbooks for partner identification, outreach, qualification, negotiation, and conversion. Work Directly with Leadership Partner closely with the CEO and Head of Robotics on the company's partnership s

Opportunity Overview: We’re seeking a strategic and execution-focused Technical Program Manager to drive large, cross-functional initiatives from concept through launch. In this role, you will lead end-to-end delivery of complex, multi-team programs—such as platform migrations, architectural modernization, reliability improvements, and major product launches—while defining clear milestones, success metrics, and sequencing plans. You’ll partner deeply with Engineering to proactively manage dependencies, mitigate risk, and ensure technical and business alignment. This role also strengthens our execution systems by improving program transparency, standardizing launch rigor, and translating technical complexity into clear executive-level insights. What you’ll do: Lead end-to-end delivery of multi-team initiatives (e.g., platform migrations, architectural modernization, reliability improvements, major product launches) Define milestones, critical paths, and measurable success criteria Break ambiguous initiatives into executable phases with clear sequencing Identify and manage cross-team technical dependencies Proactively surface risks and tradeoffs with mitigation plans Run structured risk reviews and escalation processes when needed Participate in technical design discussions to understand architecture and constraints Ensure design reviews, capacity planning, and rollout strategies happen early Collaborate with EMs and engineers leaders to align on realistic timelines Establish program tracking mechanisms that create transparency without bureaucracy Standardize launch readiness, milestone reviews, and postmortem follow-ups Identify systemic delivery bottlenecks and drive continuous improvement Provide concise executive updates with clear status, risks, and asks Maintain decision logs and documentation for key initiatives Translate technical complexity into business impact What you’ll need: Must-haves 6+ years of experience in technical program management, engineering pr

What We’re Looking For: We’re looking for a lead architect to own a large portion of the system architecture of the A-0 and A-1 products. Ideal Background: An ideal candidate will have: Experience leading the architecture of an entire system or subsystem (eg chip, board, die, package) Deep understanding of AI workloads like LLM inference at workload levels and its system level implications Experience with large multicore architectures Nice to Have: Experience with physical design process of large-die area, advanced node chips Experience with multi-die designs such as MCMs and interposer designs

About the Team The compute infrastructure team runs the GPU fleet and large-scale compute clusters that serve the models backing ChatGPT and the API, while also supporting training workloads for our next generation models. We operate a large, modern GPU fleet and provide a unified platform for other OpenAI teams to seamlessly run production Applied AI and Research training workloads. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role You’ll own the hands-on and automation work that brings WAN, fiber, carrier, and cloud-interconnect circuits into service. Partner with network engineers, fiber providers, cloud service providers, colocation teams, and data-center technicians to move each connection from ordered and patched to verified, stable, and ready for handoff. You’ll own Layer 1 troubleshooting and circuit bring-up while building workflows that translate reliable system or model output into precise, approved technician actions, capture field feedback, and drive each connection to a green-port handoff. The right person combines strong physical-networking judgment with practical automation skills: patch-panel and port mappings, optics and light levels, provider coordination, structured operational data, API or scripting workflows, and human-in-the-loop LLM tooling. Responsibilities Own Layer 1 activation and restoration for carrier circuits, dark fiber, wavelengths, Ethernet handoffs, and dedicated cloud interconnects across data centers and points of presence. Reconcile complete A-side/Z-side as-builts: circuit IDs, LOAs/CFAs, carrier demarcations, MMR/ODF/MDF and patch-panel positions, fiber pairs, cross-connects, optics, and device ports. Investigate no-light, low-light, wrong-port, link-flap, and error-rate issues across providers and CSPs; isolate continuity, dirty connectors, polarity, incorrect patching

Lead - Retail Leasing is responsible for managing the leasing activities for retail spaces at large assets, ensuring that available properties are marketed effectively and filled with suitable tenants. This role focuses on driving occupancy in retail properties by leading the team in conducting tours, reviewing applications, and negotiating lease terms that align with both tenant needs and company objectives. The Lead also works closely with retail clients to ensure their space requirements are met, while maintaining strong tenant relationships to encourage lease renewals and long-term occupancy. Source: Adani Group | Job ID: 55057

We are seeking a visionary Answer Engine Optimization Lead to spearhead our Large Language Model (LLM) and AI platform visibility strategy (e.g., ChatGPT, Claude, Google AI Overviews, Perplexity). Reporting into the Director of Marketing Acquisition, this role will be responsible for expanding our brand authority, maximizing developer mindshare, and driving new customer acquisition by optimizing MongoDB’s presence within LLM and answer engine responses. If you thrive at the intersection of technical content architecture, structured data, community advocacy, and AI-era discovery—and you want to lead a team on the front lines of defining the next wave of search experience optimization—this is a critical leadership role designed to accelerate target audience awareness and Product-Led Growth (PLG). This role will be based remotely in the United States. Key Responsibilities Define & Execute AEO Strategy: Design and own MongoDB’s global LLM visibility growth initiatives. Develop and execute strategies focused on increasing the citation share, sentiment, and accuracy of MongoDB across various technical developer audiences and agentic AI models Team Leadership: Oversee and scale a high-performing team of SEO, AEO, and content optimization professionals, fostering a culture of rapid experimentation in the AI search space Technical Information Architecture: Collaborate with Product, Engineering, and Documentation teams to optimize MongoDB’s digital footprint for LLM crawlers. Impose best practices for structured data, schema markup, knowledge graphs, and API/documentation accessibility to facilitate flawless RAG (Retrieval-Augmented Generation) ingestion UGC Response & Community Advocacy: Coordinate a multi-team framework (including Developer Relations and Support) to ensure timely, high-quality, and LLM-friendly insights are present on critical developer watering holes (e.g., Reddit, Stack Overflow, GitHub, Wikipedia). Leverage "build in public" tactics to organicall

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Join the award-winning studio that created God of War Sony Santa Monica Studio is looking for QA Sr Analysts to assist in the development testing of our internal projects on the PS5 platform. The QA Sr Analyst is responsible for the execution of high-level/critical test coverage management in support of their assigned projects. The general purpose of this job is to provide a dedicated resource to provide testing expertise for their assigned area of focus and operating as the most experienced, cognitive focused and productive testers on the project. Attention to detail is a critical requirement of the role, as is a highly communicative, amicable, team focused and mature demeanor. We value talent, self-motivation, and team spirit. In turn, we provide an environment with a large degree of freedom, autonomy and growth opportunities. Responsibilities Perform developer support tasks to assist with entry to mid-level development work for your assigned department or area Perform preventive testing support on developer workflows, tools and testbeds to support embedded testing efforts Perform high-level/critical scripted and exploratory test coverage using different testing techniques on assigned projects Perform issue reporting, research, analysis, confirmation and support

What you’ll do Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably. Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls. Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived artifacts, retention policies, and reproducibility. Implement security + compliance primitives appropriate for HIPAA/PHI: encryption in transit/at rest, key management, least privilege, audit logs, and access reviews. Build operational tooling: monitoring, alerting, runbooks, and incident-driven improvements for a growing device fleet. What we’re looking for Strong experience with cloud batch/queueing/orchestration, storage systems, and data pipeline reliability. Experience shipping production systems that handle large data volumes and failure-prone networks. Practical security mindset (least privilege, secrets, audit logging) and comfort operating in compliance-constrained environments. Useful experience Building reliable data pipelines at scale (queues/orchestration, resumable uploads, GPU batch execution) with strong observability. Security + privacy by default: encryption, least-privilege access, auditing, and practical HIPAA/PHI guardrails. Owning the “boring” backend details that keep a lean team moving: schemas/migrations, cost controls, retries, and runbooks. Understanding compute tradeoffs across hardware options, and specifying appropriate cloud resources.

The Head – Supply Chain will lead the strategic development and execution of large-scale talent acquisition initiatives across India. This role is pivotal in building a robust pipeline of skilled candidates by partnering with universities, educational institutions, ITIs, polytechnics, and placement services. The individual will ensure seamless coordination between external stakeholders and internal teams to meet hiring and training objectives. Source: Adani Group | Job ID: 52783

About the Team OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. About the Role As a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, prototype and scale up new architectures to improve model intelligence Execute and analyze experiments autonomously and collaboratively Study, debug, and optimize both model performance and computational performance Contribute to training and inference infrastructure You might thrive in this role if you: Have experience landing contributions to major LLM training runs Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion Are motivated by safely deploying LLMs in the real world Are well-versed in the state of the a

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 to ship AI products. THE ROLE Baseten’s Inference Stack team builds the distributed runtime that powers large-scale LLM inference across our platform. We operate at the intersection of distributed systems, model performance, infrastructure, and developer experience. We enable customers to deploy and operate cutting-edge LLM models with industry-leading performance, scalability, reliability, and ease of use. As a Software Engineer on the Inference Stack team, you’ll work across the stack - from the developer experience customers use to deploy models, the libraries used for features like tool calling and reasoning, all the way down to the systems we use to orchestrate deployments in Kubernetes and route traffic efficiently. This is an ideal role for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users. EXAMPLE INITIATIVES Blog Posts https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES Develop infrastructure and orchestration systems for deploying and managing large-scale distributed LLM inference Work across the stack, from customer-facing features to low-le