Software Engineer, Monetization Product & Platform (SF/Seattle)

About Our TeamJoin the innovative Monetization team at OpenAI, a dynamic cross-functional group dedicated to revolutionizing how we responsibly scale access to advanced intelligence. Our mission is to craft user-centric, privacy-focused monetization products, including cutting-edge advertising experiences that enhance user trust, create economic opportunities, and drive OpenAI’s long-term innovation.The Monetization team is pivotal in empowering OpenAI to extend the frontiers of AI capabilities while ensuring the advantages of AGI are equitably distributed. We are committed to aligning monetization with user value, maintaining stringent privacy and safety standards, and fostering a thriving ecosystem for developers and businesses.Operating in a greenfield environment, our team rapidly navigates through prototyping, experimentation, and iterative deployment. We collaborate closely with Product, Design, and Research to translate groundbreaking research into scalable real-world systems.About the RoleWe are seeking a seasoned Software Engineer to play a crucial role in constructing the foundational infrastructure for OpenAI’s monetization and advertising systems. In this pivotal position, you will design and implement distributed systems that underpin our monetization stack, with a strong focus on reliability, performance, privacy, and large-scale operations.Your expertise will span backend, systems, and platform layers, where you will develop and implement 0→1 infrastructure, working in tandem with Product, Design, and Research to shape the future of monetized AI experiences. Your contributions will empower both internal and external teams to leverage secure, scalable, and robust monetization frameworks.This position is exclusively available at our San Francisco and Seattle locations, and we provide relocation assistance for new hires.Your Responsibilities:Design and construct the foundational backend and infrastructure for OpenAI’s monetization and advertising systems.Architect large-scale distributed systems that adhere to rigorous requirements for reliability, privacy, security, and performance.Develop APIs, infrastructure services, and internal platforms to facilitate ad creation, delivery, measurement, and optimization.Collaborate closely with Product, Research, and Design teams to convert requirements into scalable technical solutions.Lead the development of 0→1 infrastructure through rapid prototyping, experimentation, and iterative enhancements.Engage in continuous improvement processes, driving innovation in monetization technology.

Role Overview Postman is hiring a Senior Software Engineer focused on Monetization for the San Francisco office. This role centers on designing and building new features that support and expand Postman’s monetization efforts. The work directly impacts how users experience and interact with the platform’s paid offerings. What You Will Do Architect and develop features that support revenue growth and user satisfaction Work closely with teams across engineering, product, and design to deliver scalable solutions Ensure that new monetization features maintain high standards for performance and reliability Location San Francisco, California, United States

Join our innovative team at Twitch as a Software Engineer I specializing in Monetization Machine Learning. In this role, you will contribute to the development of cutting-edge algorithms and data-driven solutions that enhance user experience and maximize revenue generation. As part of our dynamic environment, you will have the opportunity to work on exciting projects that directly impact our platform and community.

About DelphinaIn today's data-driven world, data scientists face numerous challenges, from tedious data wrangling to the slow process of model development. The reliance on outdated tools, such as Jupyter notebooks and Pandas, hinders progress and innovation.At Delphina, we are dedicated to transforming the landscape of data science. Our mission is to empower users to harness data more effectively for insights into the present and future. As an AI Agent for Data Science, Delphina combines generative AI, large-scale optimization, and advanced infrastructure to automate the essential yet time-consuming tasks required to build robust machine learning models swiftly. We streamline the process of identifying relevant data, cleaning it, training models, and deploying pipelines.Our team comprises seasoned professionals who have successfully led large data science and machine learning initiatives, established startups, and developed impactful enterprise ML tools.We are proud to be backed by leading AI investors, including Fei-Fei Li, Radical VC, and Costanoa VC.Your RoleWe are seeking a skilled ML Infrastructure Engineer to join our Technical Staff at Delphina.As a pivotal early team member, you will collaborate closely with our team to shape the product's direction and influence key technical decisions. Your contributions will significantly impact the technology, product development, and company culture.Your responsibilities will include:Creating platforms that enable scientists, researchers, and developers to efficiently execute ML jobs at scale with modern technologies.Designing solutions to manage and support extensive data workflows through stages such as ingestion, indexing/mining, transformation, machine learning, and deployment.Establishing a consistent continuous integration/deployment framework to promote self-service application testing, deployment, and operations across cross-functional development teams.Leading and influencing cross-functional initiatives to align the team on preferred technologies and methodologies.

Perplexity seeks a Software Engineer in San Francisco to focus on computer monetization. This position involves developing and enhancing software that drives the company’s monetization strategies. Role overview This role centers on building and refining systems that support Perplexity’s revenue efforts. Projects in this area have a direct impact on the company’s growth within the technology sector. What you will do Develop software solutions that contribute to monetization goals Refine and improve existing systems to optimize revenue streams Work on projects that influence Perplexity’s expansion and success Location This position is based in San Francisco.

About UsAt Sierra, we are revolutionizing the way businesses engage with their customers by building a cutting-edge platform that harnesses the power of AI. Our headquarters is located in the vibrant city of San Francisco, with additional offices expanding in Atlanta, New York, London, France, Singapore, and Japan.Our company culture is deeply rooted in our core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles guide our actions and foster an environment where innovation thrives.Sierra was co-founded by visionary leaders Bret Taylor, who currently serves as the Board Chair of OpenAI and has a rich history with Salesforce and Facebook, and Clay Bavor, who previously led Google Labs and spearheaded initiatives like Google Lens and Project Starline.Your RoleAs a Software Engineer focusing on Infrastructure at Sierra, you will play a pivotal role in designing, constructing, and maintaining the foundational systems that empower our AI platform. Your expertise will ensure that our infrastructure is not only secure and reliable but also scalable, allowing product teams to execute their work with agility and confidence.Guarantee the reliability, scalability, and performance of our platform and LLM inference serving in response to increasing traffic demands.Develop and oversee cloud infrastructure using Terraform to create secure, scalable, and reproducible environments.Establish and manage a self-service infrastructure platform to empower engineering teams in deploying and operating services independently.Take ownership of and improve CI/CD pipelines and release management processes, facilitating rapid and reliable deployments across Sierra’s platform.Design and manage distributed systems utilizing distributed databases, retrieval systems, and machine learning models.Develop and sustain core data serving abstractions along with essential authentication and security features (SSO, RBAC, authentication controls).Effectively navigate and integrate our technology stack with enterprise customer environments in a scalable and maintainable manner.

At Exa, we are on a mission to create a cutting-edge search engine from the ground up, designed to cater to the diverse needs of AI applications. Our team is building a robust infrastructure that enables us to crawl the internet, train advanced embedding models for indexing, and develop high-performance vector databases using Rust. Additionally, we manage a significant $5M H200 GPU cluster that powers tens of thousands of machines.The Infrastructure Team at Exa is responsible for developing the essential tools and infrastructure that support our entire system. We are looking for talented infrastructure engineers to help us scale our capabilities rapidly. Your work could involve orchestrating GPU clusters with Kubernetes, implementing map-reduce batch jobs on Ray, or creating top-tier observability tools that set industry standards.

About the TeamJoin the Applied team at OpenAI, where we are dedicated to responsibly deploying groundbreaking technology. Our products, including ChatGPT, Sora, and the OpenAI API, are transforming industries by offering advanced capabilities such as GPT-5 and a robust suite of multimodal features spanning text, image, audio, and video. We manage extensive platform infrastructure and large-scale inference systems that cater to our global user base. As we continue to innovate, our influence in the tech world expands.Our clients are leveraging our APIs to fuel rapid business growth, unlocking previously unimaginable product functionalities. With offerings like ChatGPT and Sora, we showcase the potential of our technology across diverse media experiences. As we enhance these capabilities, we remain committed to ethical practices, prioritizing responsible deployment over unregulated expansion.As a member of the Applied Engineering team, the Ads Monetization group within Financial Engineering focuses on developing core systems that manage the financial aspects of ChatGPT Ads. These systems are designed for low-latency, high scale, and exceptional reliability, all while ensuring accuracy, auditability, and transparency in financial operations. This role integrates ad delivery, data engineering, and financial systems.Key Responsibilities:Design and implement the foundational monetization systems for ChatGPT Ads.Create and manage the core services and pipelines that facilitate ads monetization from event capture and validation to pricing, metering, and generating billable outputs.Establish and maintain the definitive source of truth for ads monetization data, including schemas, data models, and invariants to ensure consistency, transparency, and auditability.Oversee accuracy and reconciliation: align production outputs with invoicing and finance requirements, develop controls and monitoring systems, and address discrepancies through investigative efforts.Engage in full-stack development to create comprehensive billing solutions for our ChatGPT and API clients.Collaborate effectively with various stakeholders, including Ads Engineering, Data Science, Product, Finance, and Go-To-Market teams, as well as fellow engineers.Ideal Candidate Qualifications:At least 5 years of professional software engineering experience.Proficiency in designing scalable software systems with a focus on reliability and accuracy.Strong collaborative skills to work effectively in a cross-functional team environment.Experience with financial systems and data engineering principles is a plus.

About GustoAt Gusto, we are dedicated to empowering small businesses by managing essential services like payroll, health insurance, 401(k)s, and HR, allowing owners to focus on their passions and customers. With offices in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, fostering a workplace that reflects and celebrates the diverse customers we serve. Explore our Total Rewards philosophy. About the Role:We are seeking a seasoned engineer with extensive knowledge in distributed data systems to help shape the future of Gusto's storage architecture. In this impactful role, you will oversee intricate migrations, design high-scale systems, and establish benchmarks for automation, resilience, and security. Your work in implementing distributed database solutions will facilitate Gusto's ongoing growth and scalability.About the Team:The Datastores Infrastructure Engineering team is responsible for designing, building, and maintaining the data platforms that drive Gusto's products, including MySQL, Postgres, Redis, Kafka, and S3. We are committed to ensuring that our infrastructure is consistent, dependable, and equipped to support Gusto's expanding requirements. As we transition to self-hosted distributed databases, our focus lies in minimizing the blast radius, enhancing operational resilience, and enabling sustainable scalability.Here’s what you’ll do day-to-day:Architect, deploy, and manage the complete lifecycle of distributed database systems (TiDB) on Kubernetes at scale, ensuring high availability, data consistency, and operational excellence.Coordinate complex, zero-downtime migrations from monolithic to distributed architectures, including vertical sharding to isolate Product Services.Define and implement efficiency enhancements across the storage infrastructure through query optimization, caching strategies, and workload management.Establish standards and develop reliable automation to maintain data consistency, integrity, and security across distributed systems.Continuously enhance operational excellence by decreasing on-call burdens with sustainable, long-term solutions.Collaborate with product engineering teams and technical partners to enable rapid and reliable product development.

Who We AreServal is an innovative AI-driven automation platform redefining operational efficiency for enterprises. Our intelligent agents seamlessly comprehend and execute real-world workflows, replacing outdated manual processes with adaptive, self-learning software. Since our inception in early 2024, we have garnered the trust of industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, streamlining high-volume operational tasks across their organizations.At the heart of Serval is a cutting-edge agentic AI platform that transforms natural language into actionable workflows. Our agents not only respond to queries but also reason, act across various systems, and continuously enhance their performance. What started as a solution for operational tasks has rapidly expanded into a versatile AI automation layer utilized across IT, HR, Finance, Security, Legal, and Engineering sectors.Our mission is to eradicate repetitive, manual tasks within enterprises, empowering teams through intelligent automation. In the long run, we aim to establish a universal AI operations layer—a system of agents that integrates across business functions, maintaining the momentum of modern companies.We are proud to be backed by renowned investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, and Elad Gil, and founded by seasoned product and engineering leaders from Verkada.Role OverviewAs a Senior Software Engineer in Infrastructure at Serval, you will be pivotal in developing and scaling the core systems that empower our AI agents and workflow automation platform. A crucial aspect of this role involves enabling and supporting self-hosted deployments for enterprise clients needing on-premises or private cloud environments. We are looking for engineers with profound expertise in distributed systems, infrastructure-as-code, production operations, and customer-facing support, who aspire to influence the technical architecture of a rapidly evolving platform.What You'll DoDesign, implement, and operate large-scale distributed systems that power Serval's AI agents, workflow orchestration, and data pipelines.Create and maintain Terraform modules to provision and manage cloud infrastructure across AWS, GCP, or Azure environments.Develop and sustain deployment packages, installation scripts, and infrastructure templates, enabling customers to self-host Serval in their own environments.Provide technical support and guidance to enterprise customers during installation and deployment phases.

About UsAt Imprint, we are revolutionizing the world of co-branded credit cards and innovative financial solutions, focusing on smarter, more rewarding, and brand-first experiences. We collaborate with renowned brands such as Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to establish modern credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our robust platform integrates advanced payment technologies, intelligent underwriting, and a seamless user experience, enabling brands to offer impactful financial products without the complexities of becoming a bank.Co-branded credit cards represent over $300 billion in U.S. annual spending, yet many are still managed by outdated banking systems. Imprint stands as the modern alternative—flexible, technology-driven, and tailored for today’s consumers. Supported by notable investors like Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team dedicated to reshaping payment methods and driving brand growth. If you thrive in fast-paced environments, enjoy tackling complex challenges, and aspire to make a significant impact, we would be delighted to meet you.Discover more about us on Imprint's Technology Blog.The TeamThe Tech Platform Engineering Team at Imprint is pioneering the democratization of access to advanced technologies, empowering teams across our organization to innovate and excel. Our commitment to redefining the Fintech landscape drives us to build secure, highly available infrastructures while equipping our engineers with comprehensive development tools, allowing them to rapidly create world-class products.Your RoleDesign, build, and manage cloud and web infrastructure with a strong emphasis on security, reliability, and scalability.Implement and maintain infrastructure components across computing, networking, and data platforms.Adhere to security best practices in cloud infrastructure, ensuring proper access control, network isolation, and secure communication between services.Monitor system health and engage in incident response, root cause analysis, and reliability enhancements.Collaborate with platform, security, and product engineers to deliver safe and efficient infrastructure solutions.

Join us in creating a safer world, incident by incident.At Ambient.ai, we are revolutionizing physical security through our unified, AI-powered platform that empowers leading enterprises to minimize risks, enhance operational efficiency, and derive essential insights. Our technology is trusted by seven of the top ten U.S. tech firms and numerous Fortune 500 companies, all aiming to modernize their security systems.Our innovative platform leverages state-of-the-art AI and computer vision to seamlessly integrate with existing camera and sensor systems, facilitating real-time monitoring and proactive threat detection. By significantly reducing false alarms by over 95%, we enable security teams to concentrate on genuine threats and avert incidents before they escalate.Founded in 2017 and supported by esteemed investors including Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company dedicated to making every security incident preventable.Interested in learning more? Connect with us on LinkedIn and YouTubeAbout the Role:As a Senior Software Engineer focusing on AI infrastructure, you will report directly to Raghu Nallamothu. Your primary responsibility will be designing and constructing machine learning infrastructure to efficiently manage terabytes of real-time video data while deploying cutting-edge deep learning models. You will play a crucial role in developing a data engine for training data collection and in the continuous training and evaluation of Ambient.ai's computer vision models, positioning your work at the forefront of AI advancements.You will collaborate closely with our research scientists to integrate the latest AI innovations, including large language models (LLMs) and large vision models (LVMs), into our product suite.Key Responsibilities:Take a leading role in constructing and sustaining advanced machine learning infrastructureDevelop a scalable and efficient data engine for ongoing model training and evaluationWork in partnership with research scientists to incorporate cutting-edge AI technologies into our computer vision solutionsQualifications:Minimum of 4 years of relevant industry experienceBachelor's or Master's degree in Computer Science, Engineering, or a related fieldProficient in programming languages such as Python, Java, or C++Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch)Experience with large-scale data processing and infrastructure

About DelphinaAt Delphina, we recognize the pain points that data scientists face today, often bogged down by the manual processes of data wrangling, model building through tedious trial and error, and cumbersome deployment rewrites. Many of the tools currently in use, such as Jupyter notebooks and Pandas, are over a decade old and inadequate for modern needs.Our mission is to revolutionize data utilization, empowering users to better understand the present and predict the future. Delphina serves as an AI Agent for Data Science, utilizing generative AI, large-scale optimization, and specialized infrastructure to automate essential, yet time-consuming tasks necessary for rapid model development. Our solution identifies relevant data, cleans it, trains models, and even automates the deployment of pipelines.Our team comprises seasoned professionals who have previously led substantial data science and machine learning initiatives, built successful startups, and created impactful tools for enterprise ML.We're supported by leading AI investors, including Fei-Fei Li, Radical VC, and Costanoa VC.What You’ll DoWe are seeking a talented Backend Software Engineer to join us as a founding team member at Delphina.As a key early hire, you will collaborate closely with our initial team to define product direction and make pivotal technical decisions, significantly influencing our technology, product, and company culture.Your responsibilities will include:Designing, developing, and deploying the systems and services that power our platform.Collaborating with a cross-functional team of scientists, researchers, and engineers to transform the landscape of machine learning.Ensuring our systems are reliable, secure, and deserving of our customers' trust.What We’re Looking ForExperience in leading and building production systems to achieve significant product goals.Proficiency in at least one backend programming language, such as Go, Python, Scala, or Java.A strong drive and ambition to create a product that exceeds expectations in innovative ways.A natural inclination towards continuous improvement of both our product and your own skills, embodying a growth mindset.

About the RoleJoin our pioneering team at vooma as a Backend & Infrastructure Software Engineer, where you will play a critical role in shaping the technical infrastructure of a transformative company.If you are passionate about creating not only resilient systems but also the foundational architecture of a groundbreaking enterprise from the outset, this position is ideal for you.We are looking for someone who excels at crafting infrastructure that is elegant, dependable, and secure, even under high-demand scenarios. You thrive on the challenge of scaling systems that enable intelligent agents and take pride in establishing reliable foundations that others can rely on.Your Key Responsibilities Include:Design and maintain secure, scalable infrastructure tailored for AI-powered agents in production environments.Deploy and optimize AI-driven services to meet high availability and performance standards.Manage infrastructure as code, alongside cloud environments and CI/CD pipelines.Implement monitoring, observability, and alerting systems to ensure the reliability of our infrastructure.Contribute to infrastructure security and adhere to best practices.You Should Have:Experience in deploying and productionizing machine learning or AI-centric workloads.Proficiency in developing secure, scalable infrastructures on platforms such as AWS, Azure, or GCP.In-depth knowledge of backend systems, networking, and container orchestration technologies (e.g., Kubernetes).Understanding of infrastructure security principles and compliance standards (e.g., SOC2).A proactive and hands-on mindset, with a strong drive to solve challenges from start to finish.

ABOUT BASETENJoin Baseten, where we drive mission-critical AI inference for leading companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. Our unique blend of applied AI research, robust infrastructure, and intuitive developer tools empowers organizations at the forefront of AI innovation to deploy state-of-the-art models into production. Recently, we secured a $300M Series E funding round, backed by esteemed investors such as BOND, IVP, Spark Capital, Greylock, and Conviction. Be a part of our rapid growth and help shape the platform that engineers trust for launching AI products.THE ROLEAs an Infrastructure Software Engineer at Baseten, you will play a pivotal role in developing and maintaining our ML inference platform that powers AI applications in production. Your contributions will enhance the core infrastructure, enabling developers to deploy, scale, and monitor machine learning models with exceptional performance.EXAMPLE INITIATIVESYou will engage in innovative projects within our Infrastructure team, including:Multi-cloud capacity managementInference on B200 GPUsMulti-node inferenceFractional H100 GPUs for efficient model servingRESPONSIBILITIESDesign and develop infrastructure components for our ML inference platform, primarily using Python and Go.Implement and maintain Kubernetes deployments for optimal model serving.Contribute to the orchestration layer for model deployments.Build and enhance monitoring systems to track model performance metrics effectively.Develop efficient resource management solutions to optimize performance.

At Sift, we are revolutionizing the way cutting-edge machines are constructed, tested, and managed. Our innovative platform provides engineers with real-time visibility into high-frequency telemetry, effectively removing bottlenecks and facilitating quicker, more dependable development.Sift originated from our experience at SpaceX, contributing to projects like Dragon, Falcon, Starlink, and Starship, where the demands of scaling telemetry, debugging flight systems, and ensuring mission reliability necessitated a new kind of infrastructure. Founded by a talented team from SpaceX, Google, and Palantir, Sift is tailored for mission-critical systems where precision and scalability are imperative.As one of the pioneering engineers at Sift, your role will extend beyond just coding—you will play a crucial part in defining the architecture, shaping the product, and influencing the culture of a company dedicated to addressing real engineering challenges. If you're eager to take on intricate technical obstacles and build foundational systems that support complex machines from the ground up, we would love to connect with you.

Join the Orb Team:At Orb, we are redefining the monetization landscape for modern AI and software companies. Our cutting-edge billing infrastructure transforms complex usage-based pricing into a strategic advantage, empowering industry leaders like Vercel, Pinecone, and Replit with real-time billing automation, rapid pricing experiments, and detailed revenue analytics.With $44.1M in backing from premier investors including Mayfield, Menlo Ventures, and Greylock, we are a dynamic and fast-paced team dedicated to building the infrastructure that shapes the future of monetization.We foster a hybrid work environment, with team members collaborating in the office three days a week. Our core values—customer centricity, urgency, innovation, and meticulousness—guide our collective growth and operational excellence.Your Role:As a vital member of our infrastructure team, you will uphold our commitment to reliability, ensuring our systems function seamlessly as our customers depend on them for their revenue streams. You will oversee the infrastructure that underpins our entire product suite, encompassing event ingestion, API services, alert systems, invoicing, and more.Key Responsibilities:Lead initiatives focused on infrastructure resilience, including recovery mechanisms, tenant isolation, and handling load spikes.Enhance the observability and operability of our systems.Develop performance-critical, user-facing infrastructure, such as real-time event processing.Strategize scaling initiatives to accommodate significant customer growth.Collaborate with cross-functional engineering teams to ensure the establishment of reliable product features.Share your expertise and learn from a talented peer group.What You Bring:A deep understanding of edge cases, failure modes, and bottlenecks.Strong investigative skills for diagnosing complex errors and performance challenges.A passion for building scalable infrastructure for high-growth products.Experience mentoring fellow engineers on best practices in observability, rollout strategies, and risk management.5+ years of software engineering experience, particularly in infrastructure roles.

Join Ivo's Engineering Team!At Ivo, we are pioneers in the tech industry. Our engineers are innovators who have created groundbreaking solutions such as:• An AI agent that seamlessly integrates with MS Word to enhance document editing [2023]• Revolutionizing embedding models with agentic RAG technology [2023]• Advanced LLM-based legal fact extraction capabilities [2024]• A legal assistant designed to search extensive contract databases without compromising accuracy [2024]• Clustering legal documents from the same lineage [2025]• Automatic deviation analysis to uncover hidden risks in vast contract databases [2025]• Merging contracts with their amendments to create a “composite” contract timeline that has moved our clients to tears [2025]Role OverviewAs an Infrastructure Engineer at Ivo, you will lay the groundwork for our platform's future. Your responsibilities will include:• Designing and owning the future of our infrastructure, allowing you the freedom to innovate.• Managing multiple customer deployments, ensuring each receives tailored containers, databases, and VPCs.• Instrumenting our systems to identify performance bottlenecks and errors.• Aggregating metrics and logs into visually appealing dashboards and setting up pager alerts.• Leading infrastructure-related incidents and being on-call as necessary.• Enhancing our CI/CD system to reduce deployment time from ~12 minutes.If you're passionate about LLMs, you'll thrive in our engineering team, where you’ll have the opportunity to:• Develop real-time LLM evaluations to monitor the accuracy of our responses.• Collaborate with talented engineers to push the boundaries of DevOps.

Astranis is seeking a talented and motivated Software Engineer to join our Infrastructure team. In this role, you will be at the forefront of developing and maintaining critical software systems that support our innovative satellite technology. You'll collaborate with cross-functional teams to design, implement, and optimize our infrastructure solutions, ensuring high reliability and performance.