Frontend Software Engineer for Codex Application

About Our TeamAt OpenAI, the Codex team is on a mission to revolutionize software engineering through cutting-edge AI technology. We are developing an AI software engineer capable of collaboration, task delegation, and proactive engagement. Our dynamic team combines expertise in research, engineering, design, and product development, continuously iterating on the Codex agent's capabilities and training the model to excel in complex software engineering tasks.The Codex team is at the forefront of creating advanced AI systems that can write code, reason about software, and serve as intelligent agents for both developers and non-developers. We manage the complete lifecycle of experimentation, deployment, and enhancement of innovative coding functionalities across research, engineering, product, and infrastructure.Codex for Teams specializes in developing products and platform functionalities that facilitate the integration of Codex into various team settings. Our cross-functional team works across the technological stack to create both engaging product experiences and essential platform capabilities. We cater to a diverse customer base, from small teams to large enterprises, and our mission is pivotal to realizing Codex as a proactive team member.About The RoleAs we expand, our goal is to transform Codex from a robust individual tool into a production-ready teammate for entire organizations. You will collaborate with internal OpenAI teams and external clients, ranging from agile startups to established enterprises, to ensure that Codex can be deployed, operated, and trusted in demanding real-world environments.With the surge in consumer adoption of Codex, enterprise demand is growing swiftly, offering exciting opportunities to enhance workflows, controls, and reliability. This team is dedicated to converting complex, real-world requirements into reliable, scalable product and platform capabilities.You will engage directly with a select group of highly involved design-partner customers, utilizing their actual deployments to identify opportunities and requirements for Codex's success within contemporary engineering organizations. These insights will inform your development work across product, infrastructure, and deployment methodologies for all teams utilizing Codex.This role encompasses end-to-end system ownership, from architecture and implementation to production operations, with a strong emphasis on both quality and speed.In This Role, You Will:Influence the evolution of Codex by understanding how teams utilize (and sometimes challenge) AI-powered software...

About the TeamAt OpenAI, we are pioneering the future of software engineering with Codex, an advanced AI-powered software engineer designed to assist, delegate tasks, and proactively manage future challenges. Our dynamic team blends research, engineering, design, and product expertise to enhance the Codex agent harness and product, ensuring it excels in complex software engineering tasks.The Codex team is dedicated to creating cutting-edge AI systems capable of writing code, reasoning about software, and serving as intelligent assistants for both developers and non-developers. We oversee the complete lifecycle of experimentation, deployment, and refinement of innovative coding capabilities across research, engineering, product, and infrastructure.Codex Cloud is focused on developing cloud-first software engineering products and the essential platform capabilities that enable agentic experiences across OpenAI. This cross-functional team collaborates across the stack to deliver both exceptional product experiences and foundational platform capabilities.About the RoleAs a member of Codex Cloud, you will take ownership of cloud-based agentic experiences, such as code reviews and cloud tasks, alongside the essential runtime/orchestration layer for these tasks. This infrastructure transforms Codex from a code generator into a scalable AI software engineer. It provides secure, sandboxed environments where Codex can execute commands, manage files, run tests, and progressively enhance its output across real codebases—just like a human developer. Furthermore, Codex Runtime serves as the distributed systems foundation that enables numerous supervised AI agents to operate within OpenAI's and clients' data centers, addressing increasingly complex objectives over extended periods. By providing agents with a tangible working context and dependable execution environment, Codex Runtime empowers Codex to validate its modifications, debug errors, and produce production-ready results, defining how AI agents interact safely and reliably with the world's software.Your Responsibilities:Influence the evolution of Codex by analyzing actual user interactions with AI-powered software engineering, driving enhancements across product, infrastructure, and model behavior to establish Codex as a trusted collaborator for organizations.Craft comprehensive customer-facing software engineering experiences for both consumer and enterprise segments, automating and elevating the software development lifecycle.

About the TeamThe Codex Core Agent team is at the forefront of developing the foundational elements of Codex. Our mission is to enhance the agent's capabilities, expedite research efforts, and ensure these advancements are implemented effectively for our users.This involves collaborating across various systems that empower Codex to operate seamlessly in the real world. We focus on optimizing production performance metrics such as token management, latency, reliability, cost efficiency, and capacity. Our work encompasses the core execution loop and interfaces that translate models into actionable behaviors, as well as the shared infrastructure that supports other teams in leveraging Codex. Additionally, we establish feedback mechanisms that refine models and agent behaviors based on real-world usage over time.About the RoleWe are seeking passionate engineers to develop the infrastructure that fuels Codex agents in production environments. This role centers on the systems that ensure models can execute code securely, interact with various tools, complete complex, multi-step tasks, and maintain reliability and efficiency at scale.You will be responsible for designing and managing the infrastructure that supports sandboxed execution, orchestration, stateful workflows, application server and SDK boundaries, as well as model rollouts. Working at the intersection of distributed systems, developer tools, and AI, you will create the core components that enhance Codex's performance, safety, and reliability, making it easier for teams across the organization to build on its capabilities.What You’ll DoDesign and implement execution environments tailored for AI agents, incorporating features like sandboxing, isolation, and reproducibility.Develop orchestration systems for agents that handle multi-step processes and tool utilization.Create infrastructure for the execution, testing, and debugging of code generated by models.Establish state and memory systems that enable agents to maintain context during extended tasks.Optimize production metrics including tokens, latency, reliability, and cost across the Codex deployment.Assist in model rollouts, capacity planning, and managing the essential trade-offs between quality, speed, and cost to effectively handle a fleet of advanced agents at scale.Develop shared platform capabilities that facilitate the work of product teams, partner teams, and the open-source community contributing to Codex.You Might Be a Good Fit If YouPossess substantial experience in distributed systems or infrastructure engineering.Have experience building systems involving containers, sandboxing, or virtualization.Are adept at working across backend systems and collaborating with diverse teams to drive project success.

About Our TeamJoin the innovative Codex App team at OpenAI, where we are dedicated to enhancing developers’ workflows through our desktop application and IDE extension. Our focus is on creating seamless product experiences with an emphasis on usability, performance, and reliability.Our technology stack primarily consists of TypeScript, Node.js, and Electron, interfacing with external systems such as the Codex CLI and Rust-based app server. Crafting exceptional features involves designing clear boundaries between the user interface, local services, and native processes, ensuring the entire system is observable and resilient.Your RoleWe are seeking a Full Stack Software Engineer to help develop and enhance the systems that drive our Codex desktop application and IDE extension. In this role, you will manage workflows from the UI to the Node/TypeScript backend, coordinating with IPC/process orchestration and integrating with Rust services.This position demands a product-oriented mindset. You will be instrumental in defining workflows, selecting appropriate abstractions, and delivering features that are both fast and reliable in real-world developer environments.Key ResponsibilitiesDevelop end-to-end features for the Electron application, encompassing both UI and backend layers using Node.js and TypeScript.Create robust integrations with the Codex CLI and Rust app server, focusing on process lifecycle management, streaming output, and error handling.Manage IPC architecture, including renderer/main boundaries, message schemas, and debugging methodologies.Design systems for task orchestration, including long-running tasks, incremental updates, cancellations, retries, and state synchronization.Enhance system reliability, observability, and performance through logging, tracing, metrics, profiling, and debugging tools.Collaborate with design and product teams to translate ambiguous requirements into well-defined, deliverable workflows.Ideal Candidate ProfileStrong foundation in TypeScript and Node.js, with a passion for managing product features from inception to deployment.Experience with Electron or desktop application architecture, including understanding renderer/main separation and performance optimization.Ability to integrate with native processes/services (e.g., Rust) and design clean, testable boundaries.Familiarity with IPC patterns and a mindset geared towards distributed systems applied locally: message ordering, buffering, retries, and idempotency.Enthusiasm for learning and adapting to new technologies and methodologies.

About Our TeamThe Codex team at OpenAI is at the forefront of creating cutting-edge AI systems designed to empower users by writing code, understanding software logic, and functioning as intelligent agents for both developers and non-developers. Our mission is to redefine the landscape of code generation and intelligent reasoning, deploying these innovations into real-world applications such as ChatGPT and our API, as well as future tools tailored for intelligent coding. We engage deeply in research, engineering, product development, and infrastructure management, overseeing the entire lifecycle of experimentation, deployment, and iterative improvements on advanced coding functionalities.About the PositionAs a key member of the Codex team, you will enhance the capabilities, performance, and reliability of AI coding models through rigorous research, innovative experimentation, and systematic optimization. Collaborating with top-tier researchers and engineers, you will develop and deploy robust systems that enable millions to code more efficiently and effectively, ensuring these systems are not only powerful but also cost-efficient and ready for production.We seek individuals who possess a blend of deep curiosity, strong technical skills, and a commitment to impactful work. Whether your expertise lies in machine learning research, systems engineering, or performance optimization, you will be instrumental in advancing the state-of-the-art and translating these breakthroughs into user-friendly applications.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days per week in the office. We also provide relocation assistance for new hires.In This Role, You Will:Design and conduct experiments aimed at enhancing code generation, reasoning, and agentic behaviors in Codex models.Generate research insights to improve model training, alignment, and evaluation processes.Identify and rectify inefficiencies throughout the Codex system stack—from agent behavior to large language model inference to container orchestration—paving the way for significant performance enhancements. Develop tools to measure, profile, and optimize system performance on a large scale.Collaborate across the technical stack to prototype new features, troubleshoot complex issues, and deliver improvements to production environments.You Will Excel in This Role If You:Are enthusiastic about exploring and advancing the capabilities of large language models, particularly in software reasoning and code generation.Possess robust software engineering skills and enjoy rapidly transforming concepts into functional prototypes.Take a holistic view of performance, effectively balancing speed, efficiency, and quality.

About Our TeamJoin the Codex Deployment Engineering team at OpenAI, where we empower organizations to seamlessly integrate advanced coding tools throughout their software development lifecycle. We are more than technical partners; we are collaborators who accelerate the planning, building, and delivery of software for a diverse range of clients, from innovative startups to established global enterprises.About the RoleWe are on the lookout for a technically proficient and creatively inclined AI Deployment Engineer who is not just a user of AI coding tools but is passionate about enhancing developer productivity. In this role, you will work closely with engineering leaders and hands-on developers to create, validate, and expand advanced AI workflows. You will often leverage Codex to develop prototypes, demos, integrations, and automations that our customers will utilize.This multifaceted position blends technical architecture, product strategy, and customer engagement. Collaborating with Sales, Solutions Engineering, Product Management, Applied Engineering, and the broader Codex team, you will advocate for customer needs, influence product direction, and facilitate the successful deployment of intelligent coding systems across some of the most impactful companies worldwide.Key Responsibilities:Act as the primary technical expert on OpenAI Codex for a select group of clients, working closely with their engineering teams to enhance coding workflows.Collaborate with customers to design and implement AI-powered development workflows, from rapid prototyping to scalable production.Create high-quality demos, reference implementations, and workflow automations using Codex in your development process.Facilitate large-scale workshops, in-depth technical sessions, and hands-on training that empower engineering teams to adopt AI coding tools effectively and safely.Contribute technical content such as examples, guides, patterns, and best practices to the OpenAI Cookbook, helping the broader developer community enhance their use of Codex.Gather valuable insights from actual customer deployments and translate them into actionable product proposals and feedback for internal teams.Influence customer strategies and decision-making by illustrating how AI coding tools enhance their software development lifecycle (SDLC), technical roadmap, and organizational goals.

Join OpenAI as a Manager of AI Deployment Engineering for our Codex team. In this pivotal role, you will lead initiatives to deploy cutting-edge AI technologies, ensuring efficient integration and transformative impact across various platforms. Your expertise will drive the development of innovative solutions that enhance user experiences and streamline operations.

Join OpenAI’s Codex Team as a Senior Data ScientistAbout Our TeamCodex is an innovative first-party developer product by OpenAI, concentrating on agentic software engineering. Our mission is to create cutting-edge tools that empower engineers to design, write, test, and deploy code more efficiently and safely at scale. We work collaboratively with research and product teams to transform advancements in AI models into significant productivity enhancements for developers.Role OverviewIn the role of Senior Data Scientist at Codex, you will play a crucial part in evaluating and driving product-market fit for our AI-driven developer tools. You will define the metrics of “developer productivity” for our offerings, conduct experiments on new coding models and user experiences, and identify areas where our technology can enhance or hinder performance across various languages and tasks. Your findings will have a direct impact on how the software industry evolves.This position is located in San Francisco, CA, and we follow a hybrid work model requiring 3 days in the office weekly. We also provide relocation assistance for new hires.Your ResponsibilitiesCollaborate closely with the Codex product team to uncover opportunities for enhancing developer outcomes and fostering growth.Design and analyze A/B tests and staged rollouts of new coding models and product features.Establish and implement key performance metrics such as suggestion acceptance rates, edit distances, compile/test pass rates, task completion times, latency, and overall session productivity.Create informative dashboards and analyses that enable the team to independently find answers to product-related questions (segmented by language, framework, repository size, task type).Investigate failure modes and work with Research to identify targeted improvements (model quality signals, user feedback, evaluations).Ideal Candidate Profile5+ years of experience in a quantitative role within a developer-focused or high-growth product environment.Proficiency in SQL and Python, with a solid understanding of experimental design and causal inference methodologies.Demonstrated experience in defining product metrics that relate to user value.Strong communication skills to effectively engage with product managers, engineers, and designers, and influence product direction.Preferred QualificationsA robust programming background with the ability to prototype, run simulations, and assess code quality.Familiarity with IDE/extension telemetry or analytics related to developer tooling.Previous experience with Natural Language Processing (NLP), Large Language Models (LLMs), or code models is a plus.

About Our TeamThe Codex Core Agent team is responsible for developing the foundational kernel of Codex. We focus on enhancing the agent's capabilities, expediting research, and ensuring these advancements translate into practical applications for our users.This entails collaboration across the various systems that allow Codex to function effectively in real-world scenarios, including optimizing production performance, managing token usage, minimizing latency, ensuring reliability, controlling costs, and scaling capacity. We also work on the core execution loop and interfaces that transform models into practical actions, alongside building infrastructure that supports other teams in leveraging Codex. Importantly, our feedback systems utilize real-world usage to refine models and enhance agent performance over time.About the RoleWe are seeking talented applied AI engineers to help transition Codex agents from impressive demonstrations to reliable, everyday tools. This position involves enhancing agent performance on actual software engineering tasks and bridging the gap between research capabilities and tangible real-world utility.You will collaborate closely with research teams, infrastructure, and product development to ensure that agents are not only powerful but also practical, controllable, and dependable. Your mission is to not only enhance model performance in isolation but also to translate those improvements into measurable increases in solution rates, usability, and economic value for our users.Your ResponsibilitiesDesign and refine agent behaviors across real-world coding tasks and extended workflows.Collaborate with research to create and execute evaluations that measure agent performance, identify regressions, and understand failure modes and edge cases.Enhance performance through effective prompting, strategic tool usage, context construction, and model-facing experimentation.Investigate production failures and systematically enhance stability and reliability.Develop feedback loops and data systems that integrate real-task data into our evaluation and research processes.Collaborate with product teams to shape user-facing agent experiences and the essential interfaces that support agent functions.Help define the criteria for what constitutes successful completion of complex tasks by agents.Ideal Candidate ProfileExperience in building or deploying machine learning or LLM-powered products.Proficiency in Python and familiarity with modern machine learning tools.Background in model evaluation, fine-tuning, or related areas.

About the TeamThe B2B Marketing team at OpenAI plays a crucial role in advancing our mission to promote the responsible and extensive use of artificial intelligence. Our team's focus is on crafting and executing strategic initiatives that enhance awareness, engagement, and utilization of OpenAI's innovative products and platform. We leverage data-driven insights to grasp our customers' needs and challenges, ensuring their perspectives are integrated into product development and communication strategies. Collaborating closely with teams across Product, Engineering, Growth, Sales, Research, Communications, and Design, we strive to deliver a seamless customer experience across all channels.About the RoleWe are seeking a technically adept Product Marketing Manager to spearhead the adoption and expansion of Codex. This position requires a comprehensive understanding of developer tools, coding processes, and contemporary AI-enhanced development environments.Codex is rapidly emerging as a vital AI partner for developers, facilitating faster writing, comprehension, and deployment of code within actual production settings. Your role will involve translating technical advancements into compelling value propositions for developers, shaping Codex's market positioning within the dynamic AI coding landscape, and implementing initiatives that promote its adoption and utilization within the developer community.This position is inherently cross-functional, merging traditional product marketing responsibilities with expertise in the developer ecosystem and growth strategies. You will collaborate extensively with Product, Developer Experience, Sales, and Growth teams to introduce new capabilities, empower go-to-market initiatives, and ensure Codex remains a relevant tool for developers in software creation.The ideal candidate will possess a strong foundation in product marketing, coupled with deep technical knowledge and an intuitive grasp of how developers identify, assess, and integrate new tools into their workflows.

OpenAI is hiring a Growth Lead to focus on go-to-market strategy for the Codex division in San Francisco. This position centers on increasing product adoption and supporting growth initiatives. Role overview The Growth Lead will work closely with teams across the company to spot new market opportunities. The goal is to shape strategies that make Codex products more accessible and appealing to customers. What you will do Develop and refine go-to-market plans for Codex offerings Collaborate with product, marketing, and other teams to align on growth objectives Create campaigns aimed at reaching and engaging target audiences Requirements Experience building and executing go-to-market strategies Strong ability to work with cross-functional groups Skilled at identifying and acting on market opportunities

OverviewAt Pylon Labs, we are revolutionizing post-sales support with our all-in-one B2B platform. Our innovative solution harnesses the power of conversational data and sophisticated intelligence, enabling our clients to manage their operations seamlessly and in real-time.We are proud to be supported by renowned investors including a16z, BCV, General Catalyst, and Y Combinator. Currently, over 1,000 companies, such as Linear, Cognition (creators of Devin), Modal Labs, and Incident.io, utilize Pylon for their support and customer success workflows. We are also featured on the Enterprise Tech 30 List.The RoleWe are seeking a talented senior engineer who is poised for a leadership opportunity while remaining hands-on with technology. Initially, you will serve as a senior individual contributor for 3-6 months, after which you will transition into a leadership role overseeing a small team while continuing to contribute directly to coding and feature deployment.This position is perfect for you if you're contemplating a management path but wish to explore it in a nurturing environment where you can receive coaching and develop your skills. If it turns out to be a great fit, you will have a clear progression towards the Engineering Manager role. If not, you will still be valued as a senior individual contributor.Key Responsibilities:Lead the design and implementation of significant features across our technology stack as a senior IC contributor.Mentor and guide 2-4 engineers, fostering their technical and professional growth.Gradually assume responsibilities for team coordination, sprint planning, and project management.Collaborate closely with our founding team to understand our approach to engineering leadership.Assist in scaling our engineering culture as we aim to double our engineering team by 2026.Who You Are:You have 3-5+ years of experience, likely at a senior engineer level, and are eager to explore management.You possess strong engineering fundamentals and deliver quality code efficiently, with a clear understanding of your strengths and areas for growth.You have a high emotional intelligence and can motivate others to excel without causing burnout.You have a solid product sense and are willing to collaborate cross-functionally to deliver products from inception to launch.You are approachable, open to feedback, and committed to continuous learning and improvement.

About Sprinter Health:At Sprinter Health, we are on a mission to revolutionize access to healthcare by bringing services directly to patients' homes. A staggering 30% of patients in the U.S. forgo essential preventive or chronic care due to transportation barriers, often resorting to emergency rooms for basic healthcare, resulting in over $300 billion in avoidable costs annually.Leveraging advanced technologies akin to those used by top marketplace and last-mile delivery platforms, we provide critical care where it is needed most. To date, we have assisted over 2 million patients across 22 states, conducted over 130,000 in-home visits, and achieved an impressive 92 NPS. Our dedicated team of healthcare professionals, technologists, and operators has successfully raised over $125 million from esteemed investors such as a16z, General Catalyst, GV, and Accel, ensuring a sustainable operational runway.About the RoleAs part of our Growth Engineering team, you will play a pivotal role in facilitating access to our in-home care services for underserved communities. Your primary focus will be to enhance patient engagement by transforming our current appointment booking system, primarily reliant on outbound phone outreach, into a seamless product-led experience integrated into our core services.This position holds significant responsibility; you will be instrumental in developing the systems that directly influence whether individuals receive necessary care or go without.Office EnvironmentWe operate as a hybrid company with offices located in both San Francisco and Menlo Park. We value work-life balance and acknowledge the need for flexibility in various situations.Key Responsibilities:Design and implement experiments that enhance patient bookings, encompassing elements such as message copy testing, outreach timing, and innovative in-product booking flows.Optimize multi-channel engagement strategies via SMS, phone, email, and mail to reach patients who typically do not schedule care.Conduct rapid brainstorming sessions and sizing exercises to prioritize upcoming initiatives and strategies.

Join ConduitAt Conduit, we are pioneering a crypto-native cloud platform designed to scale Ethereum, empowering creators in the crypto space.The limitations of on-chain computing have hindered crypto developers, preventing the creation of high-performance applications. Without the capacity for rapid and cost-effective transaction processing, the growth of on-chain ecosystems remains stunted.Rollups offer a transformative solution, facilitating scalability in web3 akin to the server networks that enhanced web2 computing. However, developing and managing a personalized rollup can be a complex and resource-intensive endeavor. This is where Conduit steps in.As a rollup-native cloud service, Conduit seamlessly integrates web2 engineering practices with cutting-edge web3 rollup technologies, simplifying the process for anyone to launch and manage their own chain. By streamlining infrastructure and maximizing on-chain computing, we aim to ignite the next wave of innovation within the crypto landscape.Since our launch in 2023, the Conduit platform has experienced exponential growth. We currently operate the largest production chains, including Proof of Play, Zora, Aevo, and many more, managing over 200 chains across mainnet and testnet with a total value locked (TVL) exceeding $1 billion. We are at the forefront of blockchain scalability, evolving alongside our clients and partners to push the boundaries of the technology.Our achievements have been bolstered by a successful $37M Series A funding round, co-led by Paradigm and Haun Ventures, two of the industry’s most respected investors.Our elite team comprises talented individuals from prestigious organizations such as Meta, Brex, Wish, Compound, Chainalysis, Immunefi, Amazon, Avara/Aave, Paradigm, and more. Headquartered in San Francisco, we have team members distributed globally.We are on the lookout for driven and skilled builders eager to help scale Ethereum and democratize crypto computing. Join us in this exciting journey!

Join Our Team as a Senior Software EngineerAt Sprig, we are revolutionizing experience research by developing an AI-native successor to outdated survey tools like Qualtrics and SurveyMonkey. Our vision is to create a platform that is not only intelligent and fast but also seamlessly integrated into the product development process of modern teams.Our commitment is to simplify customer understanding, making it an ongoing and effortless endeavor. With Sprig, product teams gain clarity from insights rather than relying on guesses. We are pioneering a future where AI drives real-time insights, streamlines workflows, and enhances customer experiences.Leading companies such as Notion, Figma, and Coinbase trust Sprig to connect more intimately with their customers. As we approach $100 million in annual recurring revenue, we are expanding our innovative AI capabilities globally.If you thrive in dynamic environments and are excited about redefining a category, we would love to hear from you.Your RoleAs a member of Sprig's AI engineering group, you will play a crucial role in developing the technology that empowers UX researchers and product leaders to analyze customer behavior at scale. Our platform processes hundreds of millions of events daily, delivering AI-driven analysis that transforms raw data into actionable insights.You will be responsible for managing backend systems that facilitate this operation, including high-performance data pipelines, AI inference orchestration, and integrations that embed applied AI into Sprig's user experience. Your contributions will be vital in evolving the technical foundation that enables our customers to scale and operationalize AI-driven understanding.While our team collaborates across the entire stack, your focus will primarily be on backend and distributed systems, closely interfacing with applied AI infrastructure. You will work alongside engineers who prioritize thoughtful design, practical solutions, and impactful work, all while adhering to high standards of reliability, privacy, and correctness.This is a hybrid position requiring three days a week in our San Francisco office, conveniently located near Montgomery BART.

Join Perplexity as a Software Engineer on our innovative Acceleration team! We are at the forefront of transforming how individuals navigate the internet and the world around them. Our goal is to enhance the operational efficiency of our teams and achieve significant advancements in both product and user experience.As we lead the way into an agentic future for the internet, you will play a crucial role in leveraging AI tools and agents to amplify the capabilities of our focused, mission-driven teams. Currently, AI is integrated into every aspect of our work, from frontend and backend engineering to applied AI research and business operations. The Acceleration team is dedicated to pioneering software and process engineering to maximize the benefits of AI technology, ensuring we deliver at unparalleled speeds.We are looking for candidates with exceptional technical judgment developed through experience in internet-scale companies, who actively engage with cutting-edge AI tools and possess a visionary mindset to redefine work processes for future-leading organizations. You will thrive in a versatile role that combines AI product development, infrastructure/platform engineering, developer experience, and more.

Join Condor Software as a Full-Stack Platform EngineerAt Condor, we are revolutionizing the financial infrastructure that supports clinical development. With billions invested annually in discovering and developing new therapies, we strive to connect clinical operations and finance into a cohesive system. By integrating real-time financial intelligence, we empower R&D and finance leaders with the tools they need to make informed, high-stakes decisions.We are an AI-driven, pharma-native infrastructure provider, scaling industry standards in collaboration with top-tier partners. Our platform facilitates prediction, control, and execution in the most complex R&D environments worldwide.The Importance of Your RoleHaving established ourselves as a trusted partner for enterprise teams, we are now focused on the challenging task of scaling our platform to meet increasing demands. As a rapidly growing company, backed by prominent investors like Felicis and 645 Ventures, this is a unique opportunity to contribute to the foundational infrastructure that will redefine how therapies reach patients.Your ResponsibilitiesAs a Full-Stack Platform Engineer, you will be pivotal in building and scaling the core platform that supports the financial intelligence infrastructure relied upon by leading biopharma companies. This role encompasses critical engineering tasks at the intersection of backend systems, cloud infrastructure, and intelligent automation, with a strong emphasis on reliability and scalability.Your primary focus will be on backend architecture, where you'll design and implement services that drive complex financial and operational workflows. You'll be instrumental in shaping data flow, workflow orchestration, and enabling emerging AI-driven capabilities. This role goes beyond simple integration; you'll be crafting robust primitives that support other teams as our product and customer base expand.Working as a core member of a cross-functional product team, you will closely collaborate with product managers, designers, quality engineers, and data specialists to transition features from concept to production. While backend expertise is crucial, you will also engage across the stack to ensure the platform's capabilities are effectively leveraged.

Responsibilities:Oversee the successful implementation of our flagship product, Insights.Contribute significantly to the development of innovative features while ensuring high-quality code craftsmanship within the team.Define and promote technology best practices and explore future platform iterations.Mentor and guide our engineering team, fostering their growth and development.Enhance the efficiency and quality of our engineering processes.

Join Scale AI as a Software Engineer on the ARC (Architecture, Reliability, & Compute) Team, where you'll be part of our innovative Public Sector Engineering group. In this role, you will play a pivotal role in defining the methodologies for deploying software in complex government and high-security environments, moving beyond traditional Terraform scripts. You will develop and manage internal command-line interfaces (CLIs) and tools to standardize testing, deployment, and environment management, essential for ensuring operational integrity and minimizing risks of downstream issues. Your contributions will involve automating deployment processes to mitigate technical debt, creating robust staging and testing environments, and setting the benchmark for secure deployments.Your Responsibilities:Design and construct secure, scalable backend systems tailored for Public Sector clients, utilizing Scale's cutting-edge cloud-native AI infrastructure.Take ownership of services or systems, defining their long-term health objectives, and enhancing the health of interrelated components.Re-architect the technology stack to operate in compliant or restrictive environments by designing interchangeable components (authentication, storage, logging) that adhere to government security mandates without compromising product functionality.Collaborate with cross-functional teams to develop and implement backend solutions, ensuring they cater to the unique requirements of government agencies functioning in secure environments.Engage actively with customers, working closely with stakeholders to comprehend requirements and deliver innovative solutions.Contribute to the platform roadmap and product strategy for Scale AI's Public Sector division, significantly influencing the future trajectory of our offerings.