Internal Fleet Coordinator Jobs

The Client Partner will be responsible for working with pre-existing internal relationships at NetSuite. The goal of our company is to deliver stellar results to clients in a timely fashion. Our ideal candidate is a creative problem-solver who thinks outside the box, willing to take on any challenge, with the ability to understand a client's business, scope a project and write the Statement of Work (SOW). Office culture is extremely important, so you must love what you do, drive results, and be fun to work with. You will be working with clients, NetSuite Account Executives, and internal Plative team members to provide suggested solutions after thoroughly analyzing and understanding the business requirements of new clients. Responsibilities Include: Meet and exceed targeted sales goals exceeding $1MM per year Produce and consistently manage a healthy pipeline with accurate next steps and close dates Support in creation and generating of SOWs to accurately encompass projects. Abide by Plative scoping methodology to uncover business processes, user stories, and use cases for NetSuite Engage with prospective clients to position Oracle NetSuite solutions via electronic and face-to-face customer meetings Prospect, consult and sell business application solutions and related services to prospective new mid-market business customers Work with your prospects to learn their business, understand their needs and determine how the NetSuite solution can best address their issues Collaborate with the Plative team to kick off projects Basic Qualifications: AI-native mindset. You use AI as everyday leverage in both work and life, with clear opinions on what works and what does not. You stay current on frontier-model progress, go beyond prompting to building lightweight tools and automations, and you enjoy sharing practical, real examples with teammates and clients. 5 Years experience full life cycle in B2B ERP or Software Services sales Excellent written and verbal presentation skill

About the Team OpenAI's Vendor Security team helps internal teams work securely with external products, services, and partners. Our work spans software, infrastructure, hardware, professional and managed services, vendor-provided workforces, data, and research. We build the programs and products that help teams understand vendor risk and put effective safeguards in place, protecting our customers, employees, and the company. About the Role We are looking for a Vendor Security Technical Program Manager who can make sound security decisions and turn recurring vendor-security problems into tools and practices that work. You will independently lead vendor-security engagements: understand the business need, investigate the actual data and access, recommend a practical path, and work with the responsible owners until the safeguards are verified. You will also use what you learn to build and improve bounded tools and workflows, with priorities agreed with the Vendor Security lead. This is an individual-contributor role for someone who combines technical judgment with useful delivery. You should be comfortable taking a position, explaining the tradeoff, and changing your mind when the evidence changes. Success means internal teams can use vendors securely, reuse work that still applies, and understand what needs to happen next. In this role, you will: Own vendor security engagements from understanding the business need through scoping, assessment, decision, treatment, and reassessment when material facts change. Make assessment decisions independently and use judgment about when to involve peers, specialists, or leadership. Route formal exceptions and risk acceptance to the appropriate decision owners. Understand vendor use cases, workflows, user journeys, data flows, identities, access, integrations, and supply-chain dependencies. Identify plausible attack paths and their consequences for OpenAI. Assess relevant architectures, configurations, controls, logs, and operationa

About the Team The Enterprise Platform Technology (EPT) team builds internal software for OpenAI’s go-to-market teams, helping streamline workflows and improve decision-making. We are building a reliable foundation that other teams can extend with their own applications. About the Role As a full-stack Software Engineer on EPT, you will build web applications, integrations, and shared platform capabilities. You will own architecture decisions and partner with business and engineering teams to improve seller workflows and develop intelligent workflow experiences that help teams identify useful next steps. We’re looking for product-minded engineers who can independently turn complex business needs into full-stack software. This role is based in San Francisco, CA. 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 and deliver full-stack web applications and integrations that support go to market workflows Define platform and application boundaries that let other teams extend our go to market systems while protecting sensitive data, reliability, and data integrity. Work with product and business partners to prioritize useful capabilities, including intelligent experiences informed by relevant business context.. You might thrive in this role if you: 5+ years of professional software engineering experience, excluding internships, on product-driven teams. Experience building large-scale, full-stack software applications in collaboration with cross-functional teams. Make sound architecture and product decisions for connected systems, with attention to sensitive data, reliability, and maintainability. Communicate clearly and collaborate across engineering and business teams. The EPT platform uses Python/FastAPI and React, but experience with those specific technologies is not required. Agentic-system experience is a plus, not a requirement. About OpenAI OpenAI is an AI research and deplo

Who We Are At OKX, we believe the future will be reshaped by crypto and blockchain technology. We operate a leading global crypto platform and build products and services designed to expand access to the digital-asset ecosystem. Across our global organization, we value ownership, sound judgment, collaboration, innovation, and the ability to operate effectively in a fast-moving and continuously evolving environment. Recruiting should insert the current approved OKX corporate “Who We Are” language when the position is posted. About the Team The Fraud Investigations Team (FIT) is a First Line of Defense function within OKX’s Risk organization responsible for identifying, assessing, investigating, and helping manage significant internal and external fraud risks affecting the company, its customers, personnel, and operations. FIT conducts and supports complex investigations involving digital assets, internal and external fraud, employee misconduct, insider threats, unauthorized access or misuse of information, vendor and third-party misconduct, account compromise, social engineering, collusion, conflicts of interest, and other significant fraud-related matters. The team works closely with Legal, HR, Information Security,Engineering, Physical Security, Compliance, Finance, Operations, and other functions across OKX. About the Opportunity We are looking for an experienced Senior Analyst, Blockchain Investigations & Fraud Intelligence to join FIT. This is first and foremost a blockchain investigations role requiring significant hands-on expertise tracing digital assets across complex blockchain ecosystems. The successful candidate must be capable of independently conducting sophisticated on-chain investigations, developing and testing attribution hypotheses, identifying relationships among wallets and entities, following assets through multiple chains and protocols, and translating highly technical blockchain activity into clear investigative findings. Blo

About the team The People Product team builds the internal tools and frameworks that power every employee's journey across DoorDash, Deliveroo, and Wolt. We combine a hybrid "build + buy" approach to deliver intelligent, scalable and people-centric experiences across hiring, compensation, onboarding, learning, performance and more — connecting our mission to empower local economies with the experience of the people who make it happen. We partner closely with Design, Engineering, Analytics, People/HR, Total Rewards and Talent Acquisition to build products that elevate the entire People Tech stack across all three brands. About the role We're hiring a Senior Product Manager to own the our internal compensation products — this includes the tooling, data, and AI that determine how DoorDash sets and maintains pay ranges across every job family, level, and country. Range setting is the starting point, as it is the core process of a compensation team and the infrastructure everything else is built on. Your role is to turn that into a product: a range-setting workspace that ingests market and internal data to enable a Compensation Partner to review and make decisions. This is an individual contributor role with a clearly scoped product area. The range-setting tool and the monitoring dashboard are the anchor. You will also own the seams into adjacent compensation surfaces — recruiter offer guidance, budget modeling, headcount planning, and Workday range loads — wherever they depend on range data. What you'll be doing Own product decisions for the compensation range-setting stack — the range tool, its recommendation engine, and the monitoring dashboard — partnering with Compensation on methodology while owning how that methodology becomes product logic. Define the data pipelines and data products that range setting depends on — historical ranges, offers, incumbent, and attrition data — and own the partnership with People Analytics on the semantic layer and the proposed compen

Position Overview As a Solutions Engineer at Diligent, you will partner closely with Sales to help organizations understand how our platform can transform the way they identify and mitigate risk, perform audits, strengthen controls, and operationalize broader GRC programs. You’ll independently lead the SE workstream on small to mid-sized opportunities, while partnering with more senior Solutions Engineers on complex, multi-pillar deals, acting as a trusted partner to customer stakeholders and helping translate Risk & Audit and broader GRC challenges into clear, compelling solutions that drive business value. If you enjoy combining domain expertise, storytelling, solution design, and customer interaction and are looking to build your career in a commercial, customer-facing environment, this is a strong next step. Key Responsibilities Customer & Commercial Partnership Partner with Sales to lead the full pre-sales lifecycle for small to mid-sized opportunities, helping customers understand how Diligent solves real-world risk, audit, and control management challenges. Deliver independent, well-prepared, tailored software demonstrations that clearly articulate business value, while seeking coaching and feedback from senior team members for continuous improvement. Engage confidently with stakeholders across Internal Audit, Risk, Compliance, IT, Controls, and Governance teams, owning day-to-day customer conversations and escalating to senior SEs for high-risk or complex topics as needed. Translate customer pain points into clear solution narratives, including outcomes and success criteria, to support deal progression and closure. Own the technical win for small to mid-sized opportunities, and contribute to the technical strategy on larger, multi-stakeholder deals in partnership with senior SEs. Solution Design & Thought Leadership Design and present solu

Position Overview As a Solutions Engineer at Diligent, you will partner closely with Sales to help organizations understand how our platform can transform the way they identify and mitigate risk, perform audits, strengthen controls, and operationalize broader GRC programs. You’ll independently lead the SE workstream on small to mid-sized opportunities, while partnering with more senior Solutions Engineers on complex, multi-pillar deals, acting as a trusted partner to customer stakeholders and helping translate Risk & Audit and broader GRC challenges into clear, compelling solutions that drive business value. If you enjoy combining domain expertise, storytelling, solution design, and customer interaction and are looking to build your career in a commercial, customer-facing environment, this is a strong next step. Key Responsibilities Customer & Commercial Partnership Partner with Sales to lead the full pre-sales lifecycle for small to mid-sized opportunities, helping customers understand how Diligent solves real-world risk, audit, and control management challenges. Deliver independent, well-prepared, tailored software demonstrations that clearly articulate business value, while seeking coaching and feedback from senior team members for continuous improvement. Engage confidently with stakeholders across Internal Audit, Risk, Compliance, IT, Controls, and Governance teams, owning day-to-day customer conversations and escalating to senior SEs for high-risk or complex topics as needed. Translate customer pain points into clear solution narratives, including outcomes and success criteria, to support deal progression and closure. Own the technical win for small to mid-sized opportunities, and contribute to the technical strategy on larger, multi-stakeholder deals in partnership with senior SEs. Solution Design & Thought Leadership Design and present solu

Coordination Systems provides foundational distributed systems building blocks for internal Datadog platforms. Our services cover sharding, consensus, resource protection, configuration distribution, and much more. We are looking for a manager to lead the Coordination Systems - Storage team. This team provides essential configuration storage and distribution systems that are depended upon by almost every service and pod at Datadog. We power critical runtime configuration (e.g. feature flags), complex control planes (e.g. dynamic sharding configuration), and much more. Storage is one of four subteams within Coordination Systems. If successful, the candidate will have opportunities to lead other growing and impactful areas such as Resource Protection. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: (Describe role responsibilities here/max 6 bullets) Lead a core team of 5 engineers (distributed, with majority in NYC) Lead ceremonies, prioritize and delegate project Stay hands-on with the code, e.g. isolated features, small remediations, investigation follow ups Stay actively involved in operations, incidents, root cause analysis, etc. Constantly promote a culture of operational excellence, organizing gamedays, conducting operational reviews, staying proactive with reliability Who You Are: (Describe role qualifications here/max 6 bullets) Strong distributed systems skills, able to understand and account for a variety of failure modes, well-versed in end-to-end o11y, validation testing, simulation setup, etc. Worked on platform teams before, providing critical infrastructure to internal stakeholders Experienced in handling significant incidents, both as a responder and follow-up ow

About the Team OpenAI’s Application Engineering team builds the internal products and platforms that help OpenAI operate securely and at scale. We engineer, own, and evolve OpenAI’s core productivity ecosystem, creating secure applications, integrations, automation, and reusable tooling where off-the-shelf software is not enough. Our work spans employee-facing experiences and the services, APIs, control planes, and governance that make them reliable, permission-aware, and scalable. We also act as a customer zero for OpenAI’s technology, building the enterprise foundations that let employees and agents safely access the context, tools, and actions they need. We partner closely with IT, Security, product teams, and platform providers to turn company-wide problems into durable systems, learn from real internal workflows, and help shape the products we deploy. We create paved paths that let teams move quickly without compromising security or operational quality. About the Role As a Staff Software Engineer on Agent Productivity, you will shape the foundation that enables teams to build agents with secure access to the context and capabilities they need. Slack will be the first and deepest implementation surface—and where you spend most of your time—owning its application architecture, integrations, APIs, governance, and administration automation while building patterns that extend to internal systems, identity platforms, and other enterprise applications. This is a hands-on engineering role with broad organizational impact as agents support more employee workflows. You will define platform architecture, build reusable foundations, and establish secure patterns for identity, permissions, connectivity, and operations that make agents easier to develop, deploy, and manage. In this role, you will: Own the technical strategy and architecture that enable teams to build, connect, and deploy agents quickly and safely, using Slack as the primary implementation surface. Design and

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We’re looking for an Engineer to join the ML Platform team at Synthesia. Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently . This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented , so that workflows can increasingly be operated through reliable tooling rather than manual effort. We’re looking for a strong generalist with a systems mindset: someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice. this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments. This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it. What you’ll do Design and improve the platform systems that support model training, evaluation, and product

About the Team Business Systems / Enterprise Platform Technology builds the internal systems, data foundations, workflow infrastructure, and enterprise platforms that help OpenAI operate at scale. The EPT AI Pod builds AI-native internal apps, MCP connectors, multi-agent workflows, and reusable platform capabilities across Finance, People, and GTM. About the Role As an Enterprise Applied AI Engineer, you will build internal apps for enterprise operations and the shared platform components those apps run on. This includes MCP connectors, multi-agent orchestration, data architecture, evals, monitoring, auditability, and governance. We’re looking for a hands-on engineer who is strong in Python, system design, enterprise integrations, data architecture, and applied AI systems. You should be excited to turn ambiguous business workflows into reliable internal products and shared infrastructure. In this role, you will: • Build internal apps for enterprise operations across Finance, People, and GTM • Build MCP connectors and enterprise integrations with strong auth, permissions, idempotency, retries, and rate-limit handling • Design end-to-end multi-agent workflows with tool routing, human approvals, audit trails, and safe action boundaries • Design data architecture for operational AI systems, including ingestion, schemas, quality checks, lineage, and governance • Build evals, monitoring, metrics, and regression tests for agentic workflows • Create reusable infrastructure, patterns, and components that other enterprise teams can build on • Partner with system owners and business owners to turn messy enterprise workflows into reliable internal products You might thrive in this role if you: • Have strong Python engineering skills for backend services, MCP connectors, agent/tool workflows, eval harnesses, and data ingestion jobs • Have strong system design skills across shared infrastructure, app architecture, reliability, and scaling • Have experience building internal apps,

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We’re looking for a Principal Engineer to join the ML Platform team at Synthesia. Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently . This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented , so that workflows can increasingly be operated through reliable tooling rather than manual effort. We’re looking for a strong generalist with a systems mindset: someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice. this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments. This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it. What you’ll do Design and improve the platform systems that support model training, evaluation, an

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. Location Preference: Europe As Director, Development Strategy, you help drive and manage the periodic global portfolio title review process across PlayStation Studios, including tracking and reporting on multiple games in various development stages, coordinating internal reviews, assisting in collecting and reviewing materials, and driving follow-up actions. Using your extensive knowledge and experience as a leader in game development, you ask the right questions at the right time, while considering the stage of development, the nature of the game being developed, as well as the studios’ culture and ways of working. It is in your nature to invite constructive deliberation, informed weighing of pros/cons and promote transparency between all parties and stakeholders. Responsibilities Drive periodic title reviews travelling onsite at studio locations globally as well as virtually. Propel title review preparations, including partnering with studios and coordinating with other internal groups such as user research, publishing, forecast ing , and finance. Foster positive relationships by building trust and ensur e alignment across development teams, executive leadersh

The Client Partner will be responsible for working with pre-existing internal relationships at NetSuite. The goal of our company is to deliver stellar results to clients in a timely fashion. Our ideal candidate is a creative problem-solver who thinks outside the box, willing to take on any challenge, with the ability to understand a client's business, scope a project and write the Statement of Work (SOW). Office culture is extremely important, so you must love what you do, drive results, and be fun to work with. You will be working with clients, NetSuite Account Executives, and internal Plative team members to provide suggested solutions after thoroughly analyzing and understanding the business requirements of new clients. Responsibilities Include: Meet and exceed targeted sales goals exceeding $1MM per year Produce and consistently manage a healthy pipeline with accurate next steps and close dates Support in creation and generating of SOWs to accurately encompass projects. Abide by Plative scoping methodology to uncover business processes, user stories, and use cases for NetSuite Engage with prospective clients to position Oracle NetSuite solutions via electronic and face-to-face customer meetings Prospect, consult and sell business application solutions and related services to prospective new mid-market business customers Work with your prospects to learn their business, understand their needs and determine how the NetSuite solution can best address their issues Collaborate with the Plative team to kick off projects Basic Qualifications: AI-native mindset. You use AI as everyday leverage in both work and life, with clear opinions on what works and what does not. You stay current on frontier-model progress, go beyond prompting to building lightweight tools and automations, and you enjoy sharing practical, real examples with teammates and clients. 5 Years experience full life cycle in B2B ERP or Software Services sales Excellent written and verbal presentation skill

Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: Build, profile and optimize our training and inference framework. Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation. Research and integrate state-of-the-art technologies to optimize our ML system. Ideally you’d have: Passionate about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills to operate in a cross functional team environment. Nice to haves: Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity,