Engineering Manager Database Platform in United States

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Enterprise Platform team builds the systems that help our GTM teams bring OpenAI products to customers at scale. This role sits close to our emerging ads business, partnering with Ads Sales, Operations, Product, Finance, Legal, and Engineering to create reliable workflows for advertiser lifecycle, campaign readiness, approvals, and revenue operations. About the role Our GTM team helps customers understand the transformational potential of OpenAI’s models, and our internal systems should make that work faster, cleaner, and more intelligent. We’re looking for a Salesforce Ads Systems Engineer to design and build the Salesforce foundation for our ads business. You’ll partner with Ads Sales, Ads Operations, Product, Finance, Legal, and data teams to turn complex advertiser and campaign workflows into scalable, auditable systems. This is an execution-heavy, builder role. The primary charter of this role is ads GTM systems: advertiser account and opportunity workflows, campaign/order readiness, approvals, integrations, and automation that keep ads motions moving cleanly from pipeline through launch, billing, measurement, and reporting. In this role, you'll: Build Salesforce solutions for ads GTM : Develop user experiences, objects, automations, and guardrails that help Ads Sales and Operations manage advertisers, opportunities, insertion orders, campaign readiness, approvals, and launch handoffs with high data quality. Engineer integrations across the ads stack : Connect Salesforce with ads platforms, product catalogs, pricing/rate-card systems, data warehouses, billing tools, measurement workflows, CLM, and e-signature systems so advertiser and campaign data stays accurate and audit

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the Role The Software Engineer, Operating Systems & Orchestration will focus on building systems to manage hardware, configurations, vendors, and the people interacting with our infrastructure. You will design and develop solutions that integrate individual nodes and servers into unified clusters, directly contributing to advancing AI research by streamlining the overall research user experience. 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 build systems to manage both cloud and bare-metal fleets at scale. Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms. Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows. Automate infrastructure processes, reducing repetitive toil and improving system reliability. Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack. Continuously improve tools, automation, processes, and documentation to enhance operational efficiency. You might thrive in this role if you: Have strong software engineering skills with experience in large-scale infrastructure environments. Possess broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers). Have deep expertise in server-level systems (e.g., systems, containerization, Chef,

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem, governance, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. The Enterprise Controls team owns the systems that allow companies to safely deploy Codex across their organization while protecting their most sensitive code, data, and internal knowledge. About the Role As Codex adoption grows inside large organizations, customers are increasingly trusting Codex with their most valuable assets: proprietary codebases, internal documentation, customer data, and sensitive workflows. This role will help build the enterprise control plane that makes Codex secure, governable, and trustworthy at scale. You will design and operate backend systems that give enterprise administrators visibility and control over how Codex is used across their organization. You will work across identity, access, encryption, policy enforcement, auditability, and admin controls. This may include systems that let customers manage encryption keys, control which Codex capabilities are enabled, enforce organizational policies, and understand how data flows through Codex. This role owns systems end-to-end: from architecture and

About the Team The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released widely used products such as ChatGPT, Sora, and the OpenAI API, powering models including GPT-5 and a growing set of multimodal capabilities across text, image, audio, and video. Our team also manages large-scale inference and platform infrastructure that supports these experiences at global scale. With much more on the horizon, our impact continues to grow. Our customers build fast-growing businesses using our APIs, unlocking product capabilities that were previously unimaginable. ChatGPT and Sora exemplify the breadth of what’s now possible across text, image, audio, and video experiences. As these capabilities expand, we prioritize the responsible use of our technology, emphasizing safe and thoughtful deployment over unchecked growth. Within Applied Engineering, the Ads Monetization team in Financial Engineering builds the core systems dealing with all the money flows for ChatGPT Ads. These systems are a combination of low-latency, high scale, high reliability, while being built in a financially correct, accurate, auditable and explainable way. This role sits at the intersection of ads delivery, data engineering, and financial systems. In this role, you will: Architect and build the core monetization systems for ChatGPT Ads. Build and operate the core services and pipelines that power ads monetization end-to-end, from event capture and validation through aggregation, pricing, metering, and ultimately producing billable outputs. Define and implement the source of truth for ads monetization data, including schemas, data models, and invariants that ensure outputs are consistent, explainable, and auditable. Own correctness and reconciliation: align production outputs with downstream invoicing/finance requirements, build controls/monitors, and close gaps through investigations and backfills. Develop across the stack to create comprehensive billing integration

About the team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Sales team partners closely with customers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the role This role is focused on driving new and expanded advertising revenue and ensuring successful business results for advertisers. You will own the full sales cycle — from prospecting to deal closure, developing long-term commercial partnerships to help advertisers achieve their business objectives while ensuring a strong and responsible experience on our platform. You’ll work closely with Account Managers and key cross-functional partners to ensure advertisers achieve successful outcomes after the sale, while maintaining primary ownership of revenue growth and commercial strategy. In this role you will: Prospect, qualify, and close new advertising opportunities, leading the full sales cycle from initial engagement through contract execution. Own and achieve a defined revenue target within an assigned territory or vertical. Develop and execute structured account plans to drive advertiser ROI and long-term revenue growth. Build and maintain relationships with senior-level advertising decision-makers, delivering strategic guidance and actively gathering their feedback. Structure and negotiate complex commercial agreements. Quantify opportunities through clear, data-driven business cases aligned to advertiser objectives. Lead cross-functional collaboration across Product, Engineering, Marketing, Policy, and Operations to support complex deals. Partner with Account Managers to ensure seamless post-sale transitions and coordinated expansion strategies. Maintain rigorous pipeline management and accurate revenue forecasting. Yo

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. A majority of our users interact with our products in languages other than English, and our products must work seamlessly across languages, regions, and cultures. The Internationalization team builds the infrastructure that enables OpenAI products to ship globally by default. We develop the systems that power localization, international product launches, and high-quality global user experiences across all OpenAI products. About the Role As a Senior Software Engineer on the Internationalization team, you will build the systems that power localization and international product launches at OpenAI. You’ll work on the platform that manages product content, translation workflows, and localization infrastructure across our products. This role sits at the intersection of AI systems, developer platforms, and product infrastructure. In this role, you will Build and scale OpenAI’s localization, content, and experimentation platform used across OpenAI product teams, including open-source components: Develop AI-powered translation pipelines combined with human-in-the-loop review workflows. Design systems that reliably deliver localized product content across web and mobile apps. Build tools that enable linguists and localization teams to review and improve translations. Develop developer tooling that simplifies localization and internationalization workflows. Build and maintain internationalization libraries used across OpenAI products: Design systems that correctly handle numbers, currencies, dates, and pluralization across locales. Improve support for multilingual interfaces and right-to-left languages. Partner with product teams to improve the international readiness of new features. You might thrive in this role if you Have strong software engineering experience building backend or full-stack systems. Have familiarity with Java, React, MySQL, and cloud infrastructure p

About the Role As a Director, Compute & Infrastructure FP&A, you will own and drive the monthly forecasting process for the Compute & Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering. You will play a critical role in planning and forecasting the company’s largest and most complex cost center ( Compute & Infrastructure ). You will collaborate cross-functionally to develop long-range infrastructure investment plans, evaluate build vs. buy decisions, and ensure capital is deployed efficiently to support rapid growth. You will also provide strategic financial guidance through scenario modeling, ROI analysis, and performance tracking, enabling leadership to make high-stakes decisions under uncertainty. What You’ll Do Own compute financial planning & Forecasting. Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments. Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning) Coordinate closely with Corporate FP&A on timelines and process Present insights on a monthly basis to senior management. Drive infrastructure investment decisions. Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs. Develop frameworks for investment trade-offs to guide executive decision making. Build scalable tooling & reporting. Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics. Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer). Drive forecasting accuracy & accountability. Lead budget vs. actual analysis for compute and infrastructure spend. Identify key cost drivers (utilization, pricing, efficiency gains) and reduce forecast variance. Support close & financial reporting. Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs C

About the team The Applied AI Engineer - Digital Natives team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll help large and highly sophisticated companies transform their business through custom AI solutions applications such as customer service, automated content generation, contextual search, personalization, and other novel use cases leveraging OpenAI’s newest, most exciting models and latest capabilities. About the role We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with frontier AI. You will pair with senior customer leaders to establish AI strategic roadmaps and identify the highest value applications. You’ll then partner with their engineering and product teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using OpenAI APIs and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product. This role is based in our SF or Seattle office. 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: Deeply embedded with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our APIs. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relat

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your Role at Baxter As a Principal Software Engineer, you will play a crucial role in designing, developing, and maintaining software applications using the .NET framework. You will work closely with cross-functional teams to deliver high-quality solutions that meet our clients’ needs. This position requires strong technical expertise, problem-solving skills, and a passion for continuous learning. What You'll Do: Design, develop, test, and maintain scalable applications and services using C# and the .NET framework. Collaborate with product managers, architects, developers, and stakeholders to define technical requirements and solution designs. Develop and maintain RESTful APIs and GraphQL services that support modern application and integration needs. Write clean, maintainable, and high-quality code following established software engineering principle

We anticipate the application window for this opening will close on - 17 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life Cranial and Spinal Technologies develops technologies and therapies used in neurosurgery, spine surgery, biologics, navigation, robotics, and enabling technologies that support patient care across a broad range of cranial and spinal procedures. This role is part of the technical publications function and is responsible for creating and maintaining Instructions for Use (IFU) and related customer-facing documentation that support the safe and effective use of advanced imaging products. Check us out on LinkedIn: Medtronic CST This position is based in Lafayette, Colorado, and requires an on-site work arrangement. Occasional domestic and international travel may be required, with expected travel less than 10%. The Senior Technical Writer develops, maintains, and manages Instructions for Use (IFU) and related technical documentation for advanced imaging products. This role collaborates with engineering, marketing, regulatory, and quality teams to gather information, translate complex technical concepts into

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. The best salespeople achieve the most when they are selling outstanding products, solutions, and services backed by an extraordinary company. That’s what you get when you sell for Appian. Location: Remote | Work Model: Remote field role About the Team The Appian Commercial & Insurance Sales team is a high-performing group dedicated to helping Fortune 500 companies and leading financial institutions revolutionize their business operations. Our mission is to expand Appian’s footprint across the United States by demonstrating how our platform delivers AI-Powered Process Automation to solve the industry's most complex operational challenges. We operate as a collaborative ecosystem, working side-by-side with internal engineering, customer success, and partner networks to dominate the automation market. The Opportunity Are you inspired by the chance to solve your customers’ biggest challenges? At Appian, you can make that kind of difference. As an Enterprise Account Executive, you will take full ownership of a strategic, high-growth geographic territory. This is an elite opportunity to sell market-leading Enterprise-Grade Orchestration software to decision-makers who are actively looking to modernize legacy infrastructure. You won’t just manage relationships; you will act as a visionary advisor, leveraging use cases from industry pioneers to land net-new logos and accelerate your career trajectory. What You’ll Do Command Complex Sales Cycles: Lead complex, end-to-end enterprise sales cycles across the Commercial and Financial Services sectors, navigat

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: We are seeking a highly skilled backend-focused Senior Software Engineer to join our modernization team focused on transforming the legacy CVS pharmacy systems into a cutting-edge, cloud-native platform. As part of the team, you will play a crucial role in designing and developing microservices that drive the modernization of critical patient and drug domains. You will work on integrating cloud-native solutions, enhancing performance, and ensuring seamless operation within a highly scalable and secure environment. The ideal candidate will have extensive experience in backend development, system design, and a strong understanding of cloud-native software engineering principles. Responsibilities: · Design, build, and maintain scalable data pipelines to support analytics, ML, and operational reporting · Develop robust data ingestion, transformation, and integration workflows using Python, SQL, and modern data engineering frameworks · Build and maintain batch and streaming data pipelines leveraging technologies such as Kafka (or similar pub/sub tools) · Work with Google Cloud Platform (GCP) services, including Cloud Storage, Dataflow, Pub/Sub, BigQuery, Cloud Spanner and Cloud Functions · Develop and manage data APIs and interfaces (REST and GraphQL) to enable high-performance data access across microservices · Implement CI/CD automation fo

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role DevRev is an untraditional SaaS revenue organization built to support a rapidly scaling technology startup driven by product-led growth and sales (PLG / PLS). We are looking for top talent to build and scale within the Houston or Dallas area, Texas. As an Enterprise Account Executive, you will prospect and nurture larger named accounts that are looking for a better way to connect with their customers and find product-market fit. You will work closely with customers end-to-end throughout their lifecycle — from concept and technical requirements through implementation, adoption, expansion, and conversion to paid. What you'll do • Build outreach to your existing network and new opportunities. • Relentlessly manage customer follow-up and your own pipeline against quota. • Develop and leverage partner and channel relationships to source and accelerate opportunities as DevRev scales its partner motion. • Work with our Growth team to increase product awareness. • Nurture and follow up with customers to share relevant use cases, identify key decision-makers, and gather requirements. • Guide customers through implementation plans to further adoption and drive paid conversion. • Partner with Product and Engineering to

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Plaid’s Partnerships team develops strategic relationships with technology platforms and other ecosystem partners that expand the reach and impact of Plaid’s products. This role will focus on data and product partnerships that power Plaid’s Credit products and insights. Plaid’s Credit team is building the future of lending by making cash flow data as widely used and trusted as traditional credit data. Our mission is to expand access to more affordable credit by giving lenders real-time financial insights that improve risk assessment and decision-making at scale. In this role, you will build and manage the external data partnerships that power Plaid’s Credit products. The partner ecosystem is broad and includes traditional credit data providers, alternative data providers, financial infrastructure companies, and other sources of differentiated data and insights. You will work closely with Product and Engineering to understand where new data can improve existing products or unlock entirely new capabilities. You will identify and prioritize partners, develop creative commercial structures, and negotiate complex agreements that balance product, economic, and strategic considerations.

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. The Role As a Quant Trading (QT) Intern, you will be challenged to learn and adapt in an exciting team environment and will play a substantial role in our day-to-day trading and quant-related activities. Your impact is immediate and meaningful. You will become a member of a team for the summer and play a vital role completing project work and/or identifying trading opportunities and communicating with software engineers, quants, traders, and risk managers throughout the trading day. As part of the Summer Associate cohort, you will learn and socialize alongside other QT Interns and Software Engineering (SE) Interns. What to Expect The 8-week internship program gives you insight into our culture and an inward look into what our business is all about. You will participate in three classroom learning experiences including: a week-long Basics of Options class, a multi-week class on the fundamentals of market making (Mock Trading), and a multi-week class that introduces elements of our quant framework (Quant Curriculum). You will also attend planned social activities and talks from various business leaders to propel your professional growth, and