Product Manager, AI Platform

🏢 Summary: Senior individual-contributor role responsible for defining and executing the global payments platform strategy, leading complex processor and acquirer integrations, and scaling global payment features. The position focuses on building resilient, scalable payment capabilities and expanding global coverage while partnering closely with engineering and architecture. It requires deep expertise in global payments ecosystems and hands-on experience delivering large-scale payment integrations. 🗂️ Requirements: 10+ years experience in payments industry, Experience building and launching payments platforms, Ownership of global payment feature delivery end-to-end, Experience integrating with payment processors and acquirers, Ability to read and work with API specifications, Experience handling 3DS, SCA, tokenization, idempotency, reconciliation, Experience with multi-region payment integrations (EU, UK, APAC, LATAM, North America), Senior-level product management experience with multi-quarter roadmaps, Ability to collaborate with engineering and architecture teams, Experience using AI/ML in payment or revenue-related products 📃 Skills: Java, Spring, REST, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, AngularJS, APIs, 3DS, SCA, Tokenization, AI, ML 🏢 Description: About Zuora At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue. We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation. The Opportunity and The Team We are looking for a Principal Product Manager – Payments to lead the next chapter of Zuora’s global payments platform and coverage strategy. In this senior individual-contributor role, you will be responsible for defining and driving the long-term roadmap for global payment acceptance, platform capabilities, and payment coverage, ensuring that our customers can seamlessly process payments anywhere in the world. You will operate at the intersection of product, engineering, architecture, and partnerships, shaping how Zuora integrates with payment processors, acquirers, and orchestration partners globally. You have previously built and launched payments platforms and global payment features at scale with a prior company, and you bring 10+ years of hands-on payments domain experience building and scaling integrations across regions. You will partner closely with product and engineering leaders, be the face to the customers, mentor other ZEOs in the payments area, and serve as a key thought partner to Zuora’s leadership on payments strategy. If you are passionate about building scalable, resilient payment platforms that power the Subscription Economy globally, this is the perfect time to join our team. *This is a Hybrid position, so you’ll be working in-person in the Foster City office at least 3 days a week, with other days remote. Of course, you’re welcome to come into the office more often if you’re nearby. Our Tech Stack: Java, Spring, Rest API, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, AngularJS What you’ll do Lead the Global Payments Platform & Coverage StrategyDefine, own, and execute the multi-year product strategy and roadmap for Zuora’s payments platform, including global acceptance, payment coverage, and core platform capabilities that serve all payment processors integrated with Zuora. Drive Complex Processor & Orchestration IntegrationsLead the end-to-end lifecycle of complex integrations with payment processors, acquirers, and orchestration partners—from ideation, technical scoping, and design through launch, rollout, and ongoing optimization. Scale Global Payment Features and FunctionalityDesign and launch global payment features (e.g., new payment methods, wallets, local schemes, risk and compliance capabilities, routing/orchestration patterns) that improve authorization rates, coverage, and resilience across regions. Optimize Payment Performance at ScaleAnalyze payment success rates and processing data across geographies and processors to identify opportunities to improve authorization rates, reduce transaction failures, and enhance redundancy and resiliency of our payment flows. Set Standards for Integration & Platform QualityEstablish best practices, patterns, and reusable building blocks for payment integrations (APIs, configuration models, error handling, reconciliation, observability), ensuring new integrations and features are scalable, secure, and maintainable. Collaborate Cross-Functionally and Across Time ZonesWork closely with engineering, architecture, design, data, and partner management teams—often across US, Beijing, and India time zones—to deliver robust payment solutions that meet the complex needs of global enterprise customers. Serve as the Payments Domain ExpertAct as the internal subject matter expert on payment gateways, acquirers, schemes, alternative payment methods, and payment orchestration. Provide guidance to internal teams and customers on global payment best practices and regulatory considerations. Be the Focal Point for Customers and PartnersServe as a primary point of contact for strategic customers and payment partners for coverage, platform, and integration topics in the US time zone, while aligning closely with engineering and stakeholder teams in Beijing and India. Your experience Deep Payments Domain Expertise (10+ Years)10+ years of experience in the payments industry with a deep understanding of the global payments ecosystem, including gateways, processors, acquirers, schemes, wallets, and alternative payment methods. Proven Platform & Global Feature OwnershipDemonstrated experience building and launching payments platforms and global payment features at a previous company (e.g., PSP, payment gateway, payment orchestration provider, large-scale merchant/platform). You have owned platform capabilities and coverage expansions end-to-end, not just single integrations. Global Payments Integration ExperienceExtensive experience designing, delivering, and scaling payment integrations globally, including working with multiple acquirers/PSPs, local payment methods, and regulatory requirements across regions (e.g., EU, UK, APAC, LATAM, North America). Integration Management & Technical FluencyDemonstrated success managing complex technical integrations with payment processors and acquirers, including reading and working from API specifications, mapping request/response fields, handling retries, idempotency, 3DS/SCA, tokenization, and reconciliation workflows. Senior-Level Product ManagementStrong product management track record at a senior/principal level: owning multi-quarter roadmaps, making tradeoffs across platform, coverage, and customer commitments, and delivering features that drive measurable business impact for global customers. Technical Aptitude and Architecture MindsetAbility to understand the technical nuances of payment platforms and integrations, collaborate effectively with architects and senior engineers, and translate complex requirements into clear specifications and system behaviors. AI & Data-Driven Product ExperienceExperience using AI/ML to build value-added products that connect payments with revenue or accounts receivable (e.g., automated reconciliation, collections intelligence, cash application, forecasting, or churn analytics), bridging data silos to drive measurable business outcomes. Global MindsetExperience building products and platforms for a global market, with a good grasp of regional payment preferences, regulations, and operating constraints (e.g., PSD2, SCA, data residency, localization). Stakeholder and Partner LeadershipExperience owning relationships with payment processors or strategic partners, and working directly with enterprise customers to prioritize coverage, manage escalations, and align roadmaps. Nice to Have Experience working with recurring billing, subscription management platforms, or usage-based business models. Familiarity with global payment regulations such as PSD2, SCA, and PCI-DSS. Technical background or previous experience as a solution architect or engineer in the payments space. Experience with payment orchestration platforms or building multi-processor routing strategies. Pay and Benefits Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide: Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs Medical, dental, and vision insurance Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy) Learning & development stipend to support ongoing growth Opportunities to volunteer and give back, including charitable donation matching where available Mental wellbeing resources and support #ZEOLife at Zuora ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We: Collaborate deeply across teams and regions Learn constantly and iterate often Build an inclusive, high-performance culture where people feel inspired, connected, and valued Our Commitment to an Inclusive Workplace Think, be and do you.At Zuora, different perspectives, experiences, and contributions matter — everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).The base pay details represent the annualized salary range for the posted position. While we share a comprehensive range, a candidate’s final base salary will fall within these guidelines and will be determined based on multiple factors including but not limited to: qualifications of the candidate, job related knowledge, prior related experience, specific and unique skills, the location of the role, internal equity and internal budget. Base pay is only one element of Zuora’s Total Rewards Package. Additional elements may also include bonus/variable compensation, equity and comprehensive benefits, more details found here.Base Pay Details$185,400—$254,950 USD

🏢 Summary: Leadership role to build and scale a 0→1 ML/AI platform enabling large-scale model training and inference across the organization. The position drives technical vision, roadmap, and organizational structure while overseeing multiple teams and managers. It covers the full AI lifecycle, from training and serving to deployment and monitoring, using open-source tooling. 🗂️ Requirements: Experience building 0→1 ML/AI platforms, Hands-on experience with open-source ML infrastructure (e.g., Ray, AnyScale), Strong technical background in large-scale training and inference systems, Experience managing managers and leading multiple engineering teams, Proven record of delivering production-grade AI systems, Experience defining technical vision and roadmap for AI platforms, Experience supporting full AI lifecycle: training, serving, deployment, monitoring 📃 Skills: Python, Ray, AnyScale, ML, AI, OpenSource, Training, Inference, Deployment, Monitoring, Infrastructure, Platforms 🏢 Description: The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease. We support products such as Bits AI, LLMObs and all our AI research. You’ll join a new and fast growing team that is critical to the future of Datadog. You will support building and scaling the team, help define our technical vision and help shape the roadmap. You will manage other managers and help define the future structure of our organization, participating in the recruitment of the future managers and ICs of the department. You’ll work closely with partner teams in the AI platform organization ensuring a seamless AI development cycle. You’ll also partner with the Applied AI org, product engineering teams, and Datadog infrastructure & tooling teams to build out systems from the ground up. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead a fast-growing organization around 20 people across 2 teams soon to be 3. You will define the roadmap for your scope and work with ICs and managers to establish the technical direction Collaborate with the engineering team and product manager to define the future of the roadmap Create a strong organizational culture centered around our engineering standards and customer- focused approach Support the whole lifecycle of AI development, including model training, serving, deployment and monitoring Who You Are: You’ve led teams that have built 0 to 1 ML/AI Platforms, with an emphasis on Open Source Tooling (i.e. Ray / AnyScale), versus pure out-of-the-box solutions. An experienced engineer and team player with strong technical skills to influence the technical direction of your teams A people leader with strong interpersonal skills, who has built and led high-performing software engineering teams, including managing managers Interested in working on an early stage project with many challenges to solve and a fast iteration cycle. You bring a strong bias for delivery and make impact through ambiguity. You have a track record of delivering high-quality software on schedule and collaborating closely with product partners. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Senior Software Engineer - Camera Systems role focused on developing and delivering software for hardware calibration, sensor data collection, and testing tools within a self-driving technology environment. The position involves building end-to-end solutions across hardware and software, improving release and deployment processes, and designing fault-tolerant systems. The engineer collaborates cross-functionally to enhance flexibility, testability, and integration of camera and sensor systems. 🗂️ Requirements: BS/MS in Computer Science, Computer Engineering, Robotics or related field, 5+ years of professional software engineering experience, Proficiency in C++ and Python for production-quality software, Experience developing end-to-end HW/SW integrated solutions, Experience with fault-tolerant system design and automation, Knowledge of sensor fusion concepts and calibration (camera, lidar, IMU), Ability to work in hands-on hardware/software environments 📃 Skills: C++, Python, SensorFusion, Calibration, Automation, Lidar, IMU, Hardware, Firmware, Integration, Testing, Deployment 🏢 Description: Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. What we are looking for Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Senior Software Engineer - Camera Systems. In this role, you will Develop software for hardware calibration, benchtop testing, and sensor data collection tools Partner tightly with Hardware, Firmware, and Software engineering teams to drive successful execution and delivery of software applications Simplify release management, bootstrapping, and deployment of applications Improve flexibility and testability of software to simplify updates and changes requested by customers. Required Qualifications BS / MS in Computer Science, Computer Engineering, Robotics or related field and 5+ years of cumulative experience Ability to read and develop production quality software in C++ and Python Experience developing end-to-end solutions (HW, SW, integration) Experience with fault-tolerant software system design and automation Knowledge of sensor fusion (camera, lidar, IMU, etc) concepts and experience with its data and calibration Ability to work in a hands-on environment. Strong technical and non-technical communication skills. The base salary range for this position is $146,000 - $234,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.Working at AuroraAt Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

🏢 Summary: Leadership role responsible for defining and executing the product vision and strategy for Containers and Kubernetes observability within a large-scale SaaS platform. The position oversees a team of product managers and drives AI-powered capabilities to help customers operate, secure, and optimize containerized environments. Focused on building scalable, integrated platform features deeply connected with metrics, logs, traces, security, and CI/CD workflows. 🗂️ Requirements: 8+ years B2B SaaS product management experience, 2+ years managing product managers, Deep expertise in containers and Kubernetes ecosystems, Experience building AI/ML-powered product features, Strong technical background working with large-scale data systems, Experience with observability or infrastructure platforms, Experience building platform or shared infrastructure products, Ability to collaborate closely with engineering on scalable systems 📃 Skills: Kubernetes, Containers, Observability, AI, MachineLearning, Telemetry, CI/CD, Metrics, Logs, Tracing, Security, SaaS, Cloud, Infrastructure 🏢 Description: At Datadog, we're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at massive scale—trillions of data points per day—enabling seamless collaboration and problem-solving across Dev, Ops, and Security teams for tens of thousands of customers worldwide. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Containers product group sits at the core of Datadog’s Infrastructure business and powers a significant portion of Datadog’s revenue. As modern infrastructure continues to shift toward Kubernetes and containerized workloads, this group is responsible for helping customers operate, secure, and optimize their most critical production environments—reliably and at scale. In this role, you will define the long-term vision and strategy for Datadog’s Containers & Live processes products, spanning Kubernetes observability, container runtime visibility, workload health, and the operational workflows that infrastructure teams rely on every day. You will lead a team of product managers building foundational platform capabilities used by thousands of customers running mission-critical workloads in production. At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead and grow a team of product managers responsible for Datadog’s Containers and Kubernetes product portfolio. Own the product vision, roadmap, and execution for containers observability, ensuring the products continue to drive meaningful customer value and significant Infra revenue. Define and drive the next generation of Containers products by applying AI and machine learning to help customers understand, operate, and troubleshoot complex containerized systems automatically. Co-define and build the next generation of containers and Kubernetes capabilities as part of the Datadog unified platform, deeply integrated with metrics, logs, traces, security, and CI/CD workflows. Partner closely with engineering leadership to deliver platform-level capabilities that scale across products and customers. Collaborate with other Datadog product teams (APM, Logs, Network, Cloud, Security, Serverless) to improve cross-product workflows and help customers troubleshoot faster and operate with confidence. Work with go-to-market, sales, customer success, and support teams to shape positioning, packaging, and launch strategies for new Containers features. Represent Containers product strategy internally and externally, helping align leadership around priorities and long-term bets. Who You Are: Experience: 8+ years of B2B SaaS product management experience, with 2+ years managing and developing a team of product managers. Domain Expertise: Deep familiarity with containers and Kubernetes ecosystems, including how modern infrastructure teams build, deploy, and operate production workloads. Leadership: Proven ability to hire, mentor, and scale high-performing product teams while setting clear direction and expectations. Customer Partnership: Experience working closely with enterprise customers operating complex, large-scale infrastructure. Technical Credibility: Strong technical background that enables effective collaboration with senior engineers and earns trust with highly technical customers.AI Product Fluency: Experience incorporating AI or machine learning into customer-facing products, or strong intuition for where AI can meaningfully improve workflows, decision-making, and automation for infrastructure teams. Data & Systems Thinking: Comfort working with large-scale data systems and understanding how telemetry, signals, and models can be combined to generate actionable insights. Platform Thinking: Experience building foundational platform products or shared infrastructure that supports multiple use cases and teams. Product Craft: Strong track record of shipping impactful products by working closely with design and engineering, balancing usability, performance, scale, and trust. Cross-Functional Influence: Ability to lead complex, cross-team initiatives and align stakeholders across product, engineering, data, and go-to-market functions. Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits & Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Staff Product Manager role owning the end-to-end builder experience for Agent Studio, enabling customers to create and iterate on AI agents within a unified platform. The position focuses on designing intuitive yet powerful interfaces that abstract complexity while supporting advanced AI capabilities. You will drive product strategy, lifecycle, and cross-functional execution for AI-driven builder tools. 🗂️ Requirements: 7+ years Product Management experience, Experience building builder/creator tools or workflow platforms, Experience simplifying complex, technical products through UX, Experience collaborating closely with design teams on interaction-heavy products, Familiarity with AI/ML concepts including RAG and prompting, Experience translating technical capabilities into intuitive interfaces, Experience with B2B software products, Bachelor's degree or equivalent experience 📃 Skills: ProductManagement, UX, AI, ML, RAG, Prompting, SaaS, B2B, LowCode, NoCode, IDE, Metrics 🏢 Description: About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We're looking for a Staff Product Manager to own the build experience for Agent Studio — how customers create, configure, and iterate on AI agents within Workato. You'll own builder experience end-to-end. This role sits at the intersection of AI capabilities and builder usability - designing an experience where business technologists can build sophisticated AI agents without getting lost in complexity. You'll need to make hard calls about what to expose, what to abstract, and when to guide versus get out of the way. In this role, you will also be responsible to: Define, own and transform the entire experience where builders define agents and use them in recipes to achieve truly agentic experiences. Work closely with the PMs who own the recipe editor, knowledge base, and platform infrastructure to ensure the end-to-end builder journey is coherent. Spend significant time with customers understanding where they get stuck, what mental models they bring, and how you can bring delightful experiences at each stage in their journey Communicate the product strategy and requirements to key stakeholders Drive the product life cycle - ideation, design, prioritization, delivery, and adoption Bring teams together to define and implement product features Articulate product differentiation and value to internal and external stakeholders Define key metrics and measure the performance of features Requirements Qualifications / Experience / Technical Skills Strong product management experience, with meaningful time spent on products where the UX challenge was making something powerful feel approachable. You've worked on tools that serve users across a skill spectrum and had to decide how much complexity to expose at each level. Track record of translating technical capabilities into interfaces that feel intuitive without dumbing things down. You understand the difference between hiding complexity and organizing it — and you've shipped products that do the latter well. B2B software but aren't bound by B2B conventions. You look at enterprise tools and see opportunities where others see "that's just how it is." You're drawn to products like Figma, Linear, or Notion that prove complex workflows can still feel elegant. Familiarity with AI/ML concepts — enough to understand what builders are trying to accomplish and where current tooling falls short. You don't need to tune models yourself, but you should be able to have informed conversations about RAG, prompting, and evaluation approaches. 7+ years in Product Management Experience designing builder/creator tools, workflow products, or platforms where users construct rather than just consume Demonstrated ability to simplify complex products through thoughtful UX — portfolio examples or case studies welcome Experience working closely with design teams on interaction-heavy products Familiarity with AI product concepts Strong written and verbal communication skills Bachelor's degree or equivalent experience Nice to Have Background in design, or experience as a designer who transitioned to PM Experience with low-code/no-code platforms, IDE-like tools, or creative software Experience with products that serve both technical and less-technical users simultaneously Soft Skills / Personal Characteristics Strong written and verbal communication skills You're a strong communicator who can articulate design rationale to engineering, advocate for builder needs to leadership, and write clear product specs that don't leave interaction details to chance.For California applicants, the pay for this role may range between $185,000 - $250,000 plus benefits, perks, and equity. The final package will depend on the interview process, we're open to negotiation. (REQ ID: 2468)

🏢 Summary: Senior Software Engineer role focused on designing and delivering large-scale, distributed payment systems that power global transaction platforms. The position involves end-to-end development of scalable, secure, cloud-native services within Agile teams, contributing to next-generation payment and real-time transaction solutions. The engineer will drive architecture, system design, and high-performance solutions in complex enterprise environments. 🗂️ Requirements: Bachelor’s degree in Computer Science, Engineering, or related technical field or equivalent experience, 10+ years of professional software engineering experience, Expertise in Java, C#, or C++, Experience building large-scale, production-grade systems, Experience designing distributed, scalable, secure platforms, Experience with Agile/Scrum methodologies, Experience with cloud-native architectures, Experience with containerization and orchestration, Strong system design skills, Experience with CI/CD and DevOps practices 📃 Skills: Java, C#, C++, Docker, Kubernetes, CI/CD, DevOps, Microservices, APIs, GenAI, Angular, React, Cloud, Scrum 🏢 Description: About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem. Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience 10+ years of professional software engineering experience delivering large‑scale, production‑grade systems Deep expertise in one or more general‑purpose programming languages such as Java, C#, or C++ Proven experience designing and operating highly distributed, scalable, secure, and resilient platforms in complex enterprise environments Strong experience working in Agile/Scrum delivery models with end‑to‑end ownership of features and services Preferred Qualifications: Demonstrated GenAI proficiency with an AI‑first mindset, applying AI‑assisted tools and techniques across design, development, testing, and operational workflows Ability to independently drive technical design end‑to‑end, engaging proactively with Product Managers and Architects and delivering solutions with zero follow‑ups Strong system‑design skills, including API design, service orchestration, data modeling, and performance optimization Experience with cloud‑native architectures, containerization, and orchestration technologies (e.g., Docker, Kubernetes) Familiarity with modern platform technologies Experience collaborating across Product, Architecture, Security, DevOps, and QA teams in large‑scale enterprise environments Strong written and verbal communication skills, with the ability to clearly articulate technical decisions and trade‑offs Experience mentoring engineers, contributing to design reviews, and raising overall engineering standards AI‑first mindset with hands‑on proficiency in applying GenAI tools across the software development lifecycle Experience designing and deploying modern, scalable, cloud‑native services Strong sense of ownership with the ability to operate autonomously, make decisions, and drive alignment across stakeholders Comfortable challenging assumptions and pushing beyond traditional solutions Exposure to to platform technologies such as microservices, DevOps Practices, CI/CD, Containerization, webservices, scalable solutions The Skills You Bring: Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams AI First Approach: Champion AI‑assisted development and automation to improve developer productivity, develop customer facing features and solution quality Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

🏢 Summary: Senior Software Engineer role focused on designing and delivering large-scale, distributed payment systems operating at global scale. The position involves end-to-end ownership of scalable, secure, cloud-native services and collaboration in Agile teams to build next-generation payment platforms. The engineer will drive architecture, system design, and AI-assisted development across complex enterprise environments. 🗂️ Requirements: Bachelor’s degree in Computer Science, Engineering or related field, 10+ years of professional software engineering experience, Experience delivering large-scale production-grade systems, Expertise in Java, C# or C++, Experience with distributed, scalable, secure systems, Experience with cloud-native architectures, Experience with Docker and Kubernetes, Experience with Agile/Scrum methodologies, Strong system design skills (API design, data modeling, performance optimization), Experience with CI/CD and DevOps practices 📃 Skills: Java, C#, C++, Docker, Kubernetes, CI/CD, DevOps, Microservices, API, GenAI, Angular, React, Scrum, Cloud, Webservices 🏢 Description: About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem. Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience 10+ years of professional software engineering experience delivering large‑scale, production‑grade systems Deep expertise in one or more general‑purpose programming languages such as Java, C#, or C++ Proven experience designing and operating highly distributed, scalable, secure, and resilient platforms in complex enterprise environments Strong experience working in Agile/Scrum delivery models with end‑to‑end ownership of features and services Preferred Qualifications: Demonstrated GenAI proficiency with an AI‑first mindset, applying AI‑assisted tools and techniques across design, development, testing, and operational workflows Ability to independently drive technical design end‑to‑end, engaging proactively with Product Managers and Architects and delivering solutions with zero follow‑ups Strong system‑design skills, including API design, service orchestration, data modeling, and performance optimization Experience with cloud‑native architectures, containerization, and orchestration technologies (e.g., Docker, Kubernetes) Familiarity with modern platform technologies Experience collaborating across Product, Architecture, Security, DevOps, and QA teams in large‑scale enterprise environments Strong written and verbal communication skills, with the ability to clearly articulate technical decisions and trade‑offs Experience mentoring engineers, contributing to design reviews, and raising overall engineering standards AI‑first mindset with hands‑on proficiency in applying GenAI tools across the software development lifecycle Experience designing and deploying modern, scalable, cloud‑native services Strong sense of ownership with the ability to operate autonomously, make decisions, and drive alignment across stakeholders Comfortable challenging assumptions and pushing beyond traditional solutions Exposure to to platform technologies such as microservices, DevOps Practices, CI/CD, Containerization, webservices, scalable solutions The Skills You Bring: Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams AI First Approach: Champion AI‑assisted development and automation to improve developer productivity, develop customer facing features and solution quality Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

🏢 Summary: Software Engineer (Core UX) role focused on refining and enhancing existing product functionality to deliver a premium, consistent user experience within an AI underwriting platform. The position involves improving UI performance, responsiveness, and visual polish while collaborating with cross-functional engineering teams to build scalable backend solutions. Ideal for engineers who enjoy iterative improvement, experimentation, and high ownership in a fast-paced environment. 🗂️ Requirements: 5+ years of software engineering experience, Experience improving and polishing product functionality for premium UX, Strong fundamentals in system design, Strong debugging and problem-solving skills, Experience with modern frontend framework (preferably React), Proficiency in JavaScript, TypeScript, Python or other OO language, Experience with serverless technologies (Lambda, EC2), Experience with asynchronous workflows, Experience working in cloud environments, Experience with relational databases (preferably PostgreSQL), Ability to take ownership and drive projects independently 📃 Skills: React, JavaScript, TypeScript, Python, Lambda, EC2, Serverless, PostgreSQL, SQL, AWS, Cloud, LLM, GenerativeAI, DistributedSystems 🏢 Description: About Kalepa: Commercial insurance is a trillion-dollar industry still run out of Microsoft Outlook. Kalepa is changing that. Kalepa is an AI Underwriting Platform built to deliver Professional-Grade AI in production - helping the world's most important insurers centralize and prioritize submission data, surface critical risk insights, and make faster, more confident decisions. Customers see meaningful improvements to both speed and portfolio quality as soon as they implement Kalepa - so much so that clients call it “truly an underwriter’s dream.” Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle & Grit - We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft. There are no easy days. Kalepa’s exceptional speed and determination are our biggest differentiators: this is how we win. Customer Focus - We will ruthlessly prioritize the work that drives our clients’ growth, profitability, and efficiency. We are not building things just because they seem cool - we are here to solve our customers’ most strategic problems. Meritocracy - Too many exceptional people are stifled by corporate bureaucracies. At Kalepa, those people excel - and we reward tremendous results with rapid promotions and compensation growth. Transparency - We are honest with each other. We don’t believe in back-office politics and keeping employees in the dark. Transparency allows us to instantly cut to the heart of the matter and figure it out together. Experimentation - For many of the problems we face, no company has ever solved them before. We tackle these by quickly testing, measuring, and iterating to determine the path to success. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena). Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere. About the role: Salary range: $85k – $155k USD* We are looking for smart engineers who love to code, seek challenging problems and appreciate recognition for excellent work. As part of the Core UX team, you will focus on refining existing product functionality to deliver an exceptional user experience. Your work will center on ensuring consistency across the product, maintaining a cohesive look and feel, and implementing performance improvements that directly impact end users. You’ll be paying close attention to the layout, interactions, responsiveness, and visual polish, that collectively give the product a premium, well-crafted feel. This role is ideal for someone who enjoys iterative improvement, cares deeply about quality, and wants to shape the everyday experience of our users. You'll collaborate with a global team of full-stack, data, ML, and DevOps engineers to build scalable backend solutions as we continue to grow. We're a small team where individual contributions have an outsized impact on both our technology and our business. You'll be right at home if you: Have 5+ years of software engineering experience, ideally with a track record of  improving and polishing functionalities to bring premium user experience. Embody hustle and grit, you're excellent at your craft and relentless in pursuing it. Take full ownership of your work and drive projects to completion with minimal oversight. Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop. Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before. Have strong fundamentals in system design, debugging, and problem-solving. You have experience in a modern FE framework, preferably React. Know Javascript, Typescript, or Python, though we're open to strong candidates from other OO backgrounds. Have experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments. Are comfortable with relational databases, ideally PostgreSQL. Bonus: experience with LLMs/generative AI, distributed systems. What you’ll get: Competitive salary (based on experience level)*. Significant equity options package. Work with an ambitious, smart, global, and fun team to transform a $1T global industry. 20 days of PTO a year. Global team offsites. Phone reimbursement. Gym reimbursment. Student stipend. * The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.

🏢 Summary: Software Engineer role on the Core UX team focused on refining and enhancing product functionality to deliver a premium, consistent, and high-performance user experience. The position involves working with modern frontend technologies while collaborating with backend, data, ML, and DevOps engineers to build scalable cloud-based solutions. Ideal for engineers who value ownership, experimentation, and iterative product improvement. 🗂️ Requirements: 5+ years of software engineering experience, Experience improving and polishing product functionalities for strong UX, Strong fundamentals in system design, Strong debugging and problem-solving skills, Experience with modern frontend framework (preferably React), Proficiency in JavaScript, TypeScript, or Python, Experience with serverless technologies (Lambda, EC2), Experience with asynchronous workflows, Experience working in cloud environments, Experience with relational databases (preferably PostgreSQL) 📃 Skills: React, JavaScript, TypeScript, Python, Lambda, EC2, PostgreSQL, Serverless, AWS, SQL 🏢 Description: About Kalepa: Commercial insurance is a trillion-dollar industry still run out of Microsoft Outlook. Kalepa is changing that. Kalepa is an AI Underwriting Platform built to deliver Professional-Grade AI in production - helping the world's most important insurers centralize and prioritize submission data, surface critical risk insights, and make faster, more confident decisions. Customers see meaningful improvements to both speed and portfolio quality as soon as they implement Kalepa - so much so that clients call it “truly an underwriter’s dream.” Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle & Grit - We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft. There are no easy days. Kalepa’s exceptional speed and determination are our biggest differentiators: this is how we win. Customer Focus - We will ruthlessly prioritize the work that drives our clients’ growth, profitability, and efficiency. We are not building things just because they seem cool - we are here to solve our customers’ most strategic problems. Meritocracy - Too many exceptional people are stifled by corporate bureaucracies. At Kalepa, those people excel - and we reward tremendous results with rapid promotions and compensation growth. Transparency - We are honest with each other. We don’t believe in back-office politics and keeping employees in the dark. Transparency allows us to instantly cut to the heart of the matter and figure it out together. Experimentation - For many of the problems we face, no company has ever solved them before. We tackle these by quickly testing, measuring, and iterating to determine the path to success. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena). Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere. About the role: Salary range: $85k – $155k USD* We are looking for smart engineers who love to code, seek challenging problems and appreciate recognition for excellent work. As part of the Core UX team, you will focus on refining existing product functionality to deliver an exceptional user experience. Your work will center on ensuring consistency across the product, maintaining a cohesive look and feel, and implementing performance improvements that directly impact end users. You’ll be paying close attention to the layout, interactions, responsiveness, and visual polish, that collectively give the product a premium, well-crafted feel. This role is ideal for someone who enjoys iterative improvement, cares deeply about quality, and wants to shape the everyday experience of our users. You'll collaborate with a global team of full-stack, data, ML, and DevOps engineers to build scalable backend solutions as we continue to grow. We're a small team where individual contributions have an outsized impact on both our technology and our business. You'll be right at home if you: Have 5+ years of software engineering experience, ideally with a track record of  improving and polishing functionalities to bring premium user experience. Embody hustle and grit, you're excellent at your craft and relentless in pursuing it. Take full ownership of your work and drive projects to completion with minimal oversight. Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop. Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before. Have strong fundamentals in system design, debugging, and problem-solving. You have experience in a modern FE framework, preferably React. Know Javascript, Typescript, or Python, though we're open to strong candidates from other OO backgrounds. Have experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments. Are comfortable with relational databases, ideally PostgreSQL. Bonus: experience with LLMs/generative AI, distributed systems. What you’ll get: Competitive salary (based on experience level)*. Significant equity options package. Work with an ambitious, smart, global, and fun team to transform a $1T global industry. 20 days of PTO a year. Global team offsites. Phone reimbursement. Gym reimbursment. Student stipend. * The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.

🏢 Summary: Leadership role responsible for defining and delivering AI-driven product strategy and roadmap, including embedded and standalone AI capabilities. The position leads a team of product managers and collaborates cross-functionally to build scalable AI observability and security solutions. Focused on driving innovation, data-driven decision-making, and measurable business impact through AI products. 🗂️ Requirements: Proven experience in AI product management, Track record of delivering AI-driven products, Deep knowledge of AI and machine learning, Strong understanding of data science concepts, Experience leading and mentoring product managers, Experience managing complex product roadmaps, Experience collaborating with engineering and data science teams, Ability to drive data-driven product strategy, Experience managing large-scale AI initiatives 📃 Skills: AI, MachineLearning, DataScience, Analytics, Observability, Security, SaaS, ProductManagement, Roadmapping 🏢 Description: The Applied AI Products organization at Datadog is responsible for delivering AI-driven solutions that power the next generation of our product offerings. We are looking for a Director of Product Management to lead and shape the roadmap and delivery of AI-driven product capabilities at Datadog. In this role, you will bring a combination of technical expertise, product management experience, and an understanding of AI technologies to help position Datadog as a leader in the AI observability and security space. You will lead a team of product managers and collaborate with senior leadership in engineering and design. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products. Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features. Collaborate with cross-functional teams including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives. Identify new opportunities for AI product innovation and drive them from concept to execution, ensuring they have a measurable impact on our customers and the business. Work closely with customers and stakeholders to deeply understand their pain points, ensuring that AI solutions are delivering tangible value and solving real-world problems. Define AI product roadmaps and manage the prioritization of features and initiatives to ensure the team’s efforts are aligned with business goals. Drive a culture of data-driven decision-making by working closely with data science and analytics teams to inform product strategy and validate assumptions. Promote a product-first mindset across the organization, ensuring that the user experience and business value are central to every product decision. Foster a culture of innovation and excellence in AI product development, ensuring that Datadog remains a leader in AI-powered observability and security solutions. Who You Are: You have proven experience in AI product management, with a track record of successfully leading the development and delivery of AI-driven products and solutions. You have deep technical knowledge of AI technologies and a strong understanding of machine learning, data science, and related fields, with the ability to translate these capabilities into compelling product experiences. You have successfully led product teams, including mentoring and developing product managers, while balancing the need for leadership and hands-on execution. You are skilled at prioritizing and delivering complex product roadmaps, balancing short-term needs with long-term strategic goals. You are experienced in collaborating with cross-functional teams, including engineering, design, data science, and business stakeholders, to deliver high-impact AI products. You have a customer-first mindset, always striving to understand and solve customer pain points through innovative AI-driven solutions. You are a strong communicator and influencer, capable of building relationships with senior leadership, engineering teams, and external stakeholders to drive alignment and move initiatives forward. You have a proven ability to manage large-scale AI product initiatives, balancing technical feasibility, user experience, and business impact. If you’re passionate about shaping the future of AI products and driving innovation at scale, we’d love to hear from you! Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits & Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$300,000—$385,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.