Engineering Manager, AI Enablement

At PitchBook, a Morningstar company, we are driven by innovation and a commitment to excellence. We foster a dynamic and collaborative environment where creativity and teamwork flourish. Our culture is built on curiosity, enabling us to continuously seek out new solutions and improve our processes.With a focus on professional development, we offer extensive learning programs and mentorship opportunities that empower our employees to grow and excel. Our ambitious goals and the evolving nature of our industry mean that we embrace challenges and view them as opportunities for growth.If you bring a positive attitude and a willingness to engage hands-on, PitchBook is the ideal workplace for you.About the Role:As an integral member of the Product and Engineering team at PitchBook, you will collaborate with a group of innovative thinkers dedicated to enhancing the experience for our customers. We prioritize curiosity and customer empathy in our approach to product development, ensuring that we consistently deliver exceptional experiences.We recognize that collaboration and diverse perspectives drive greatness. Our global partnerships strengthen our team dynamics, and we maintain a respectful environment founded on integrity and continuous improvement. We invest deeply in our people, who are eager to learn and evolve. Join us and embark on a journey of growth!As the Engineering Manager for AI Enablement, you will lead the team responsible for developing and managing core platforms that facilitate AI integration across PitchBook.

At PitchBook, a subsidiary of Morningstar, we are dedicated to forward-thinking innovation and continuous improvement. Our vibrant, collaborative environment fosters excitement and a sense of community that energizes our team.We offer an extensive range of learning programs and mentorship opportunities designed to cultivate a culture of curiosity and exploration. As we navigate a fast-paced industry, we embrace ambiguity and see challenges as opportunities for growth. Our commitment to excellence is matched by our willingness to take calculated risks and learn from our experiences.If you bring a positive attitude and a proactive approach to your work, PitchBook is the ideal environment for you.About the Role:As a member of the Product and Engineering team at PitchBook, you will collaborate with forward-thinkers and problem solvers dedicated to making a significant impact for our customers and the organization daily. We value curiosity and strive for innovative solutions. Our focus on customer understanding and empathy informs our creation of exceptional experiences through cutting-edge products.In your role as Technical Product Manager, AI Enablement, you will lead the product vision and execution for platforms and capabilities that facilitate AI adoption within the company. You will enhance the effectiveness of Product, Engineering, Research, and Business teams by establishing a clear product strategy, prioritizing impactful opportunities, and ensuring that AI solutions yield measurable benefits.This position primarily focuses on internal platforms, workflows, and enablement strategies that simplify, secure, and scale AI usage, rather than managing end-user product features.

At PitchBook, a subsidiary of Morningstar, we are committed to pioneering the future. Our culture of innovation, collaboration, and continuous improvement fosters an environment where every team member can thrive and contribute to our dynamic ecosystem.We offer extensive learning programs and mentorship opportunities that create a culture of curiosity, empowering our employees to explore new solutions and optimize existing processes. In a fast-paced industry filled with challenges, we excel by pushing our limits and embracing the possibility of failure as a stepping stone to success.If you possess a proactive attitude and a willingness to dive deep into tasks, PitchBook is where your potential can be fully realized.About the Role:As a vital member of our Product and Engineering team, you will collaborate with creative thinkers and innovators dedicated to enhancing our positive impact on customers and the business. We prioritize curiosity and customer empathy, which guide us in developing exceptional product experiences.We believe that collaboration and diverse perspectives are essential for greatness. Our team engages with partners worldwide, fostering a culture built on respect, integrity, and continuous growth. We heavily invest in our employees, who are eager to learn and evolve alongside us. Join us to amplify your career!

At PitchBook, a subsidiary of Morningstar, we are committed to fostering a culture of innovation and continuous improvement. Our collaborative environment is filled with dynamic energy and enthusiasm, making it an exciting place to work.We offer extensive learning programs and mentoring opportunities that cultivate curiosity and drive us to discover new solutions and more efficient processes. Navigating a fast-paced industry with ambitious goals often brings challenges, but we thrive on these opportunities for growth. We embrace risks, learn from failures, and relentlessly pursue excellence.If you bring a positive attitude and a willingness to take initiative, PitchBook is the perfect fit for you.About the Role:As a key member of the Product and Engineering team, you will collaborate with innovative thinkers and problem solvers focused on enhancing our impact on customers and the company. We value curiosity and strive for continual improvement, emphasizing customer empathy in the development of outstanding experiences through product innovation.We believe greatness arises from collaboration and diverse perspectives, working closely with global partners. Our team operates on mutual respect and integrity, fostering an environment that encourages constructive discussions and personal growth. We are dedicated to investing in our talent who aspire to learn and develop their skills. Join us and grow your career with PitchBook!

About AZXAt AZX, our mission is to drive meaningful change in pivotal sectors through transformative AI technologies. We are rapidly expanding and are proud to partner with industry leaders across various domains, including real estate with CBRE, energy through LevelTen Energy, logistics via Flexe, and utilities such as Puget Sound Energy.Founded in 2024 as a public benefit corporation, AZX achieved profitability in its first year through bootstrapped consulting. By early 2026, we secured $6M in funding to enhance our operations and technological capabilities.Our focus areas encompass clean energy, decarbonization, climate risk assessment, energy systems, and global economic strategies. We are dedicated to building a sustainable and innovative workplace for individuals who are passionate about AI and making a positive difference.About the RoleAs a pivotal member of our team, you will be responsible for revolutionizing the way AZX identifies, engages, and converts prospects into meaningful dialogues. This role is newly established at a company that integrates AI into every facet of our operations, including our go-to-market strategies.You will design and manage an AI-driven infrastructure that empowers our compact GTM team to excel in marketing operations, sales enablement, campaign intelligence, CRM automation, prospect profiling, and AI-generated content. You thrive on achieving the seemingly impossible and are excited about building the future of our GTM technology stack from the ground up.What You Will DoDevelop and manage AZX’s AI-enhanced GTM infrastructure encompassing CRM, marketing automation, campaign tools, analytics, and comprehensive reporting.Establish AI workflows for prospect intelligence, including company profiling, executive movement tracking, job posting signals, RFP discovery, news monitoring, and newsletter analysis.Design and maintain systems for sales enablement, such as meeting transcript management, AI-generated briefs, proposal drafts, and self-service content creation tools for the team.Organize and manage the repository of GTM materials, ensuring that all collateral remains up-to-date and easily accessible.Support outreach efforts and campaigns with AI-driven targeting, personalization, and content strategies.

About Sobek AISobek AI is at the forefront of creating a secure infrastructure for life sciences innovation and intergovernmental emergency response. With backing of over $10M in grants and funding, we collaborate with internationally recognized organizations to enhance mission-critical, distributed workflows using AI, all while safeguarding intellectual property and sensitive public health data.The RoleWe are seeking a talented Full-Stack Engineer to take ownership of product surfaces from start to finish. This role is high-impact and allows for significant ownership, focusing on transforming complex generative AI workflows into reliable software solutions.What You’ll DoOwn features across the stack: Bring ideas to life from conception to production, including UX flows, React/TypeScript UI, well-defined Python/TypeScript APIs/services, and oversee production rollout and performance measurements.Build intuitive, data-rich interfaces: Create tables, complex forms, document views, and comparisons that are accessible and responsive, tailored for modern generative AI workflows.Design and operate services: Develop clear REST/gRPC/streaming endpoints, model data using SQL/NoSQL and vector stores, implement queues/caches as necessary, and enhance with tracing and metrics.AI orchestration: Improve orchestration to effectively manage multi-LLM workflows with appropriate controls for cost, latency, and security/auditability.Ship quickly and iterate: Prototype, launch behind feature flags, gather feedback and telemetry, and refine based on user input.Collaborate deeply: Work alongside engineers across the stack to translate real-world needs into dependable software solutions.Be a force multiplier: Facilitate reviews and architectural decision records across frontend and backend to establish scalable patterns.About You3+ years of full-time software engineering experience.You have successfully owned and delivered full-stack software in production—from UI (experience with React/TypeScript is a plus) to backend services (experience with Python or Node.js is a plus)—and are familiar with deployment pipelines in product environments where both quality and speed are crucial.You are comfortable designing API contracts (paging, errors, retries) and debugging end-to-end with logs and traces.You can reason about concurrency and understand how to ensure reliability in distributed systems.

About Read AIAt Read AI, we are revolutionizing team collaboration by infusing intelligence into every interaction. Our innovative platform enhances productivity across meetings, messages, and emails, enabling work to be completed more efficiently and with greater focus. We seamlessly integrate with popular tools such as Zoom, Microsoft Teams, Google Meet, and Slack, ensuring that teams remain aligned and productive, regardless of their location.Supported by $81 million in funding from esteemed investors including Smash Capital, Madrona, and Goodwater Capital, Read AI is on an exciting growth trajectory. If you are eager to shape the future of AI-driven collaboration and make a significant impact at a dynamic startup, we are excited to hear from you.The RoleAs a Software Engineering Manager at Read AI, you will spearhead a team dedicated to crafting the core product experiences that our users rely on daily. This is a hands-on leadership role ideal for someone with extensive React.js expertise and a solid foundation in UI/UX design. You will set high standards for quality, performance, accessibility, and design collaboration while guiding the team to deliver impactful features rapidly and consistently.You will collaborate closely with Product Design, Product Management, and cross-functional engineering teams to create intuitive, aesthetically pleasing, and scalable user experiences that empower millions of users. We particularly value leaders who leverage data, metrics, and experimentation to inform decisions, assess outcomes, and iterate swiftly.What You’ll DoLead and nurture a frontend engineering team through hiring, coaching, performance evaluations, and career development.Establish the technical direction for React.js architecture, performance, accessibility, and overall quality.Collaborate with Design and Product teams to create cohesive and elegant user experiences.Develop and refine a component and design system to enhance speed and consistency of delivery.Utilize metrics and user feedback to prioritize initiatives and continuously enhance the product.Promote an experimentation culture (A/B testing, feature flags, iterative feedback loops) to enhance user experience and engagement.Oversee execution from planning to launch, balancing speed with engineering excellence.Establish and reinforce best practices including testing, code reviews, observability, and reliable release processes.What We’re Looking ForProven experience in leading frontend engineering teams.Deep understanding of React.js and frontend technologies.Strong background in UI/UX design principles.Ability to use data to drive decisions and improvements.

As a Forward Deployed Engineer (FDE) at Palona AI, you will serve as a crucial link between our innovative product and engineering teams and our valued customers. Your role involves embedding directly with users to understand their unique challenges and translating those insights into cutting-edge technical solutions. You'll be responsible for deploying production-grade AI systems, managing deployment complexities, influencing product development, and spearheading impactful customer-facing initiatives.Key Responsibilities Collaborate with customers to define, design, and implement AI systems that solve real-world business challenges. Build and integrate production-ready AI applications tailored to customer infrastructures. Create and present engaging demonstrations and prototypes that highlight the capabilities of our AI technology. Ensure the reliability, safety, and performance of AI agents once deployed in production settings. Gather customer feedback and insights to inform continuous product and agent enhancements.

Why Join UsAt Brex, we are revolutionizing the way businesses manage their finances through our AI-powered spend platform. Our innovative solutions, including integrated corporate cards, banking, and global payment services, are designed to empower companies to spend confidently. From startups to large enterprises like DoorDash, Flexport, and Compass, thousands of businesses rely on Brex to control spending, reduce expenses, and enhance efficiency on a global scale.Joining Brex means you will have the opportunity to challenge conventions, push limits, and collaborate with some of the brightest minds in the industry. We are dedicated to fostering a diverse and inclusive workplace, where your potential is only limited by your dreams. We equip you with the necessary tools, resources, and support to accelerate your career growth.AI at BrexOur AI Engineering team is transforming financial operations by embedding intelligent, autonomous systems within the Brex platform. We create AI agents that not only provide insights but also take proactive actions, optimizing spending, managing workflows, and making real-time decisions for our clients. By integrating proprietary financial data with our product infrastructure, we aim to simplify complex financial processes and set new benchmarks for modern finance.Your RoleAs the Engineering Manager for the Brex Assistant, you will lead a team dedicated to developing a consumer-facing conversational AI product. This innovative product will empower customers to make expedited and confident financial decisions regarding spend approvals, policy understanding, issue resolution, and more. You will be responsible for both team leadership and product outcomes, overseeing the design, deployment, and operational management of our agentic systems.This role is deeply rooted in product development, with success being defined by the tangible impact on our customers — improved expense documentation, enhanced policy compliance, and reduced navigation time within Brex, rather than mere novelty or research outcomes.Work EnvironmentThis position is based in our Seattle office. We embrace a hybrid work model that merges the dynamic energy of in-office collaboration with the flexibility of remote work. Currently, we require team members to be in the office at least two coordinated days per week (Wednesday and Thursday), transitioning to three days per week starting February 2, 2026 (Monday, Wednesday, and Thursday). Additionally, we offer up to four weeks of fully remote work each year!

Why Join Brex?At Brex, we are revolutionizing financial management with our AI-driven spend platform. We empower organizations to manage their expenditures confidently with integrated corporate cards, banking solutions, and global payment systems, complemented by an intuitive interface for travel and expenses. Our platform is trusted by tens of thousands of companies, ranging from innovative startups to established enterprises like DoorDash, Flexport, and Compass, enabling them to maintain control over spending, reduce costs, and enhance operational efficiency globally.Joining Brex means pushing boundaries, challenging conventional thinking, and collaborating with some of the industry's most brilliant minds. We are dedicated to fostering a diverse workforce and an inclusive culture, believing that your potential should only be limited by your aspirations. We support your professional growth with ample resources and tools.AI at BrexOur AI Engineering team at Brex is transforming the financial landscape by integrating intelligent, autonomous systems into our platform. We create AI agents that not only provide insights but also take decisive actions to optimize spending, manage workflows, and make real-time decisions for our clients. By seamlessly incorporating proprietary financial data with our product and platform infrastructure, we simplify complex financial operations into streamlined, automated experiences, setting new benchmarks for modern finance.Your RoleAs an Engineering Program Manager, you will play a pivotal role in orchestrating our AI initiatives, ensuring that multifaceted projects across various teams are executed successfully. This role is designed to clarify uncertainties, organize work across different teams, and ensure all tasks are completed. You will transform strategic objectives into structured plans with specific goals, timelines, and decision records. Your responsibility will include unblocking stalled projects, escalating issues as needed, and ensuring teams are accountable for their commitments—without requiring senior engineers to divert their attention to program management tasks.If you thrive in environments that require clarity amidst chaos, uphold operational excellence, and drive projects to completion, we invite you to apply!Work EnvironmentThis position is based in our Seattle office, operating in a hybrid model that blends the vibrant energy of in-office collaboration with the flexibility of remote work.

About Us:Read AI is at the forefront of productivity-enhancing AI solutions, dedicated to empowering individuals and organizations to streamline their workflows across meetings, messaging, and email communication. Our seamless integration with leading platforms such as Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce transforms how teams collaborate, providing an AI copilot that enhances productivity wherever work happens.Having recently secured $50 million in Series B funding led by Smash Capital, along with ongoing support from existing investors Madrona and Goodwater Capital, our total funding now stands at $81 million, marking an exciting phase of growth just six months post-Series A. If you are passionate about developing impactful solutions and eager to contribute to a rapidly growing company, we invite you to be part of our journey!The Role:As a Senior Software Engineer at Read AI, you will play a critical role in shaping the architecture and performance of our product. You will oversee the data flows and machine learning infrastructure, which encompasses real-time audio and video processing, interactions with third-party LLM providers, data processing orchestration, database management, data APIs, inferencing services, and transcription services.Responsibilities:Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that power our platform.Take ownership of key system components from conception through deployment and maintenance.Implement quality assurance best practices, including unit and integration testing.Optimize data processing pipelines and storage solutions for efficiency.Seamlessly integrate third-party services and data sources into our platform.Monitor and troubleshoot infrastructure and operational issues to ensure maximum uptime and reliability.Continuously assess and adopt best practices, tools, and technologies to improve system scalability, reliability, and maintainability.

At FieldAI, we are revolutionizing the way robots engage with the real world. Our innovative Machine Learning team based in Seattle develops risk-aware, dependable, and field-ready AI systems that address the most challenging problems in robotics, unleashing the full potential of embodied intelligence. We adopt a practical methodology that transcends standard, purely data-driven techniques or transformer-exclusive architectures, merging state-of-the-art research with real-world applications. Our solutions have achieved global deployment, and we consistently enhance model performance through rapid refinements driven by actual field use.We are on the lookout for a talented Staff AI Software Engineer specializing in Edge Model Optimization & Deployment. In this pivotal role, you will take the lead in optimizing, integrating, and deploying our machine learning models onto real robotic platforms. You will be responsible for the entire edge inference stack, including profiling and accelerating models, enhancing runtime performance across latency, throughput, memory, and power consumption. Collaborating closely with perception, autonomy, and platform teams, you will ensure the delivery of robust on-robot behavior in real-world environments. You will set the technical direction, elevate engineering standards, and guarantee that our models operate efficiently and reliably on constrained hardware in diverse settings.This is a unique opportunity to influence the future of robotic autonomy by converting cutting-edge machine learning into high-performance, production-ready edge deployments that function reliably within complex, dynamic environments on actual robots.

Senior Backend Software EngineerJoin Read AI's innovative Backend team as a Senior Software Engineer. In this pivotal role, you will be instrumental in designing, developing, and optimizing robust backend systems that fuel our AI-driven productivity platform. Engage in a dynamic, collaborative setting where you’ll deploy code weekly and make a substantial impact on millions of users.Complete your application with a Provn skills assessment.

At Palona, we are pioneering the integration of cutting-edge generative and multimodal AI into the hospitality sector. Our dynamic engineering team drives innovation at a rapid pace, utilizing generative AI models to create products that continually adapt and improve. In this fast-evolving landscape, traditional software excellence needs to evolve to accommodate the unique nature of AI outputs, which differ significantly from conventional software failures. This position is crucial in establishing an engineering discipline that identifies potential issues before they impact our customers.In this role, you will engage with evaluation pipelines, observability, cloud infrastructure, and CI/CD processes to enhance Palona's AI agent platform. You will blend DevOps and AI reliability, overseeing production infrastructure while developing tools that ensure optimal AI agent performance.ResponsibilitiesAs an AI Reliability Engineer, your key responsibilities will include:Creating and implementing observability systems to identify quality degradation, latency issues, and system anomalies in production, including the development of instrumentation, dashboards, and alerting mechanisms.Writing and maintaining automated tests to assess agent output quality, incorporating deterministic checks and LLM-as-judge evaluations.Developing automated release and validation systems to streamline deployments across different environments and enforce quality gates for AI-driven products.Building and refining platform infrastructure using infrastructure as code, with a strong emphasis on reliability, scalability, and cost efficiency.Enhancing evaluation pipelines that gauge AI agent conversation quality, accuracy, and safety, collaborating with product and engineering teams to refine evaluation criteria.Designing and developing internal tools and services that bolster AI reliability, evaluation, and operational workflows.Architecting new systems to tackle emerging reliability and quality challenges within the AI agent platform.Producing production-grade code for reliability and evaluation infrastructure, contributing as a software engineer rather than merely an operator.

Join Outreach as an Engineering Manager for our Intelligence Tooling and Enablement team. In this pivotal role, you will lead a talented group of engineers to advance our innovative tooling solutions that empower users to achieve their goals efficiently. You will collaborate with cross-functional teams to drive initiatives that enhance productivity and streamline processes. Your leadership will be key in fostering a culture of excellence and continuous improvement within the team.

Read AI develops tools that add intelligence to team collaboration, helping groups stay productive across meetings, messaging, and email. The platform connects with Zoom, Microsoft Teams, Google Meet, and Slack, making it easier for teams to coordinate and move projects ahead from anywhere. With $81 million in backing from Smash Capital, Madrona, and Goodwater Capital, Read AI is expanding its impact on AI-powered teamwork. Role overview This Senior Fullstack Software Engineer position is based at Read AI’s Seattle headquarters. The role involves both hands-on feature development and shaping the technical direction of the product. The engineer will design scalable systems, establish coding standards, and help define the technical roadmap. The work spans complex backend logic and building responsive, reliable user experiences. Read AI values engineers who are comfortable with ambiguity, mentor others, and focus on building systems that stand the test of time. What you will do Architectural leadership: Design and implement scalable web applications and distributed systems across the stack. Technical excellence: Maintain high code quality through code reviews, automated tests, and clear documentation. System ownership: Take responsibility for major product areas from initial design through deployment and ongoing improvement. Cross-functional strategy: Collaborate with Product and Design to shape the roadmap, balancing technical feasibility and scalability. Performance and reliability: Address issues affecting application speed, database performance, and frontend rendering. Mentorship: Support mid-level and junior engineers, encouraging best practices and ongoing learning. DevOps culture: Improve CI/CD pipelines, observability, and infrastructure-as-code. Location This role is on-site at Read AI’s Seattle HQ. Learn more Find additional information at https://www.read.ai/.

About the TeamThe AI Deployment Engineering team operates at the forefront of innovative AI research and its practical applications. We collaborate closely with OpenAI’s key clients to architect, implement, and scale the deployment of generative AI solutions. Our mission is to empower organizations to seamlessly and safely incorporate AI into their essential workflows.In the Health & Life Sciences (HLS) division, we focus on facilitating the responsible adoption of AI technologies within pharmaceutical companies, biotechnology firms, medical device manufacturers, contract research organizations (CROs), and healthcare systems. Our efforts span clinical, scientific, regulatory, and operational domains, driving significant outcomes while adhering to the highest standards of safety, privacy, and compliance.About the RoleWe are on the lookout for a Manager of AI Deployment Engineering to spearhead our Healthcare & Life Sciences initiatives. You will be responsible for building and nurturing a high-performing team of deployment engineers tasked with guiding HLS organizations from experimentation to full-scale production using OpenAI technologies.This role demands both strategic insight and technical expertise, as you will engage with executive stakeholders and cross-functional teams to ensure the delivery of secure, compliant, and impactful AI deployments. A robust technical background, leadership experience, and a profound understanding of the complexities inherent in regulated healthcare and life sciences environments are essential.This position is based in Seattle. We operate under a hybrid work model, requiring 3 days in the office each week.Key Responsibilities:Develop and oversee the strategy and operational framework of the HLS AI Deployment Engineering team, ensuring alignment with corporate goals and customer needs.Recruit, mentor, and cultivate a high-impact team of AI Deployment Engineers specializing in HLS production implementations.Implement operational standards and best practices tailored to regulated environments.Promote a culture of technical excellence, customer-centricity, and responsible AI deployment.Facilitate successful enterprise deployments and manage the comprehensive implementation of generative AI applications across healthcare and life sciences organizations.

Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

Artificial Intelligence (AI) is increasingly essential across various sectors of society. At Scale AI, we are dedicated to accelerating the evolution of AI applications. For over eight years, we have been a premier AI data foundry, driving groundbreaking advancements in areas such as generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding round, we are enhancing the deployment of frontier data and models by developing sophisticated agents for enterprises globally through our Scale Generative Platform (SGP). Our SGP ML team stands at the forefront of the AI revolution. We collaborate directly with clients to create innovative products utilizing our extensive proprietary research and resources. As a Staff Applied AI Engineer, you will engage with clients to develop machine learning solutions that address their specific business challenges. Your projects will encompass a range of applications, from constructing next-generation AI cybersecurity firewalls to transforming journalism through AI experiences, as well as employing foundational genomic models to predict vital drug proteins. Through daily data-driven experiments, you will uncover critical insights regarding model performance, which you will leverage to enhance our products. If you are passionate about influencing the future of AI, we invite you to apply!

Outreach builds an AI platform for revenue operations, providing sales teams with AI-driven insights, conversation intelligence, and automation. Companies like Databricks, SAP, Siemens, and Verizon use Outreach to streamline sales workflows and improve forecasting. Team focus The Intelligence Tooling and Enablement team works to bring AI solutions into Outreach’s engineering practices. This group introduces new tools, refines development processes, and creates training resources, all aimed at helping engineering teams work more efficiently with AI at the center of their approach. What you will do Develop AI solutions and integrate them into the software development lifecycle. Location This position is based in Seattle, WA.