Scale AI jobs

Staff Machine Learning Engineer Hyderabad, India Meet the Team You'll join a cross-functional AI engineering group working at the intersection of engineering, product, and data science to bring advanced AI capabilities into real-world production systems. The team focuses on building scalable AI/ML and Generative AI platforms and services that power intelligent features, agentic workflows, and data-driven products. We operate across the full lifecycle - from early experimentation and prototyping to production-grade deployment , scaling, and long-term system reliability. Innovation, strong engineering fundamentals, and applied AI excellence are core to how we work. Your Impact As a Staff Machine Learning Engineer , you will play a key role in translating AI innovation into scalable, reliable systems that deliver real business value. You will: Partner with engineering, product, and data science teams to convert requirements into prototypes and production-ready AI systems . Build, deploy, and scale AI/ML and Generative AI services , taking solutions from experimentation through full production. Design and operate high-performance AI systems , optimizing for inference latency, throughput, and cost efficiency at scale. Drive adoption of agentic AI architectures , LLM-powered features, and modern ML platform capabilities. Proactively identify innovation opportunities, explore emerging AI/ML approaches, and turn them into concrete technical proposals. Stay current with AI/ML advancements and apply relevant innovations to active initiatives. Influence system architecture and guide engineering best practices for ML platforms and cloud-native AI systems. Minimum Qualifications Strong backend development experience in Python (preferred) or Java . Experience building API-driven and event-driven services for AI

Big Data Platform & Distributed Systems (Mid/Senior/Lead/Principal) Washington - Bellevue About the Teams: By applying to this role, you will be considered for two mission-critical teams at the heart of our data strategy. Both teams operate at extreme scale, leveraging Public Cloud (AWS/GCP) and Kubernetes to power the next generation of data-driven intelligence. Pillar 1: Data Engineering & Observability Build and own large-scale data pipelines and observability systems that power metrics, logging, and real-time insights across services. This role focuses on designing reliable telemetry pipelines, improving monitoring and alerting, and ensuring data quality and system visibility at scale. Ideal candidates have strong distributed systems fundamentals, backend development experience (Java or similar), and experience operating high-throughput data or monitoring platforms in cloud or hybrid environments. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Pillar 2: Data Cloud. Big Data Compute platform team. Owns the compute infrastructure that powers large-scale Spark workloads. The team focuses on optimizing core Spark performance, solving distributed systems challenges, and building scalable AI infrastructure, including exploring efficient ways to run smaller language models. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate

Senior ML Engineer - SEO Science Bengaluru, Karnātaka, India Exciting opportunity for a Senior Machine Learning Engineer to lead the design and deployment of large-scale AI and ML solutions at scale. Join our innovative team to drive next-generation search, discovery, and content intelligence technologies powering millions of buyers and sellers worldwide. Shape the future of ecommerce with cutting-edge AI and data engineering.

Machine Learning Engineer Amsterdam, North Holland, Netherlands Exciting opportunity for a Machine Learning Engineer to join our Foundation Models team at eBay. Build, deploy, and optimize advanced AI and Generative AI systems for large-scale ecommerce. Collaborate with top researchers and engineers to shape the future of intelligent experiences at global scale. Grow your impact in a dynamic, innovative environment.

Senior Cybersecurity Expert – Supply Chain Resilience Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. As an exceptional Senior Cybersecurity Expert in Global Sourcing & Supply Management, you will lead a transformational initiative safeguarding our global supply chain ecosystem of diverse suppliers against rapidly evolving, AI-empowered cyber threats. With a lean time and expanding scope, this role is pivotal in scaling AI-driven approaches to build attack-proof resilient operations at scale - transforming traditional point-in-time assessments into continuous, AI-augmented assurance while defending against adversaries weaponizing the same technologies. This is a high-impact leadership role requiring a unique blend of cybersecurity expertise, AI fluency, supply chain acumen, and proven ability to drive large-scale, cross-jurisdictional programs that deliver measurable results with constrained resources. You will tackle one of the most complex cybersecurity challenges in modern supply chain management, in an era where the pace of AI-driven offense is outstripping traditional defense models: Scale & Diversity: Drive consistent cyber resilience across over 1,000 global suppliers with vastly different maturity levels, IT dependencies, manufacturing processes, AI adoption maturity, and infrastructure capabilities spanning multiple geographies AI-Era Threat Landscape: Defend against an adversary ecosystem that is rapidly adopting agentic AI, automated reconnaissance, AI-generated social engineering, deepfake-enabled fraud, and autonomous attack orchestration - while suppliers themselves introduce new attack surfaces through their own

Staff Platform Product Manager TLV, Tel Aviv, Israel We're looking for a Staff Product Manager to define the long-term vision and strategy for LoCo - Lemonade's next-generation, AI-powered platform that's rebuilding how insurance products are built and launched. Sitting within our core platform team, this role is central to how Lemonade builds, ships, and scales insurance products across the org - and how we continue doing it faster with AI at the center. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. In this role you'll - Define the architecture that determines how Lemonade builds, ships, and scales - for years to come - Drive cross-team alignment on complex technical decisions, turning competing priorities into a clear, executable roadmap - Own the long-term API strategy across multiple domains, creating a unified layer that simplifies onboarding for channel teams and scales with the business - Act as the translation layer between platform engineers and leadership, communicating technical complexity in business terms - Leverage AI to identify patterns, pressure-test architectural decisions, and unlock faster paths to solving platform-scale problems - Own the adoption strategy across

Strategic Pricing Analyst, AI Products Remote, United States of America Exciting opportunity for a Principal AI Pricing Analyst to lead the design and scaling of innovative pricing models for AI-driven products. Partner with product leaders to drive monetization strategy, influence cross-functional teams, and shape the future of AI pricing. Join us to make a significant impact on product value and adoption.

Staff Software Engineer, AI Platform Toronto, Ontario, Canada Join our team as a Senior Staff Software Engineer, AI Platform, and lead the design and delivery of scalable backend systems powering AI-driven workflows at scale. Drive architectural decisions, mentor engineers, and shape the future of platform engineering at eBay. Make a real impact in a collaborative, innovative environment.

Strategic OCI & AI Infrastructure Lead United Kingdom, GB Oracle is seeking a senior leader to serve as a Strategic OCI & AI Infrastructure Lead within the Global AI Infrastructure & Strategic Pursuits organization. This role is not a traditional account role. This role requires deep technical and commercial skills, enabling complex customer engagements. This Lead will operate at the intersection of hyperscale AI infrastructure, complex customer environments, and high-stakes commercial outcomes. This includes owning and scaling some of the most demanding AI and cloud deployments globally, across enterprise, high-growth startups, strategic AI installations, or international markets (Europe, Middle East, APAC, and Latin America). This role requires equal comfortability discussing GPU cluster architecture and leading multi-million-dollar Cloud commercial negotiations. Key Responsibilities Strategic Customer Ownership Serve as the point of accountability for a portfolio of high-value AI/OCI customers within your assigned segment Operate a high-touch, deeply embedded engagement model-this is not transactional account management Build executive-level trust while staying close to day-to-day technical realities Infrastructure Performance & Optimization Help drive health, performance, and efficiency of large-scale OCI environments and compute fleets Help drive meaningful improvements in utilization, cost efficiency, and architectural design Act as the escalation quarterback. When things break, you bring clarity and resolution fast Capacity, Supply & Scale Planning Translate customer growth projections into real infrastructure plans (compute, storage, networking) Anticipate constraints before they happen. Capacity is your problem to solve, not react to De-risk large-scale deployments by aligning supply with demand across global regions Cross-Functional Execution Leadership Orchestrate

Principal Solutions Architect (Req#1048) San Ramon, CA Overview We are seeking an elite Solutions Architect to lead the end-to-end design, sizing, and deployment of NVIDIA AI Factory-aligned infrastructure. In this highly technical, customer-facing role you will translate complex AI and machine learning workload requirements into fully engineered infrastructure solutions spanning colocation facilities, GPU compute, high-performance networking, parallel storage, and the complete NVIDIA AI software stack. You will serve as a trusted technical advisor to enterprise and hyperscale customers, partnering with sales, product, and engineering teams to win and deliver transformational AI infrastructure programs. Your expertise will directly shape how organizations build and operate production AI Factories capable of training frontier models, running large-scale inference fleets, and accelerating data science pipelines at scale. Your Impact Solution Design & Architecture - Lead discovery workshops to capture AI/ML workload requirements, including model training scale, inference SLAs, data pipeline throughput, and multi-tenancy needs. - Architect full-stack AI Factory solutions aligned to NVIDIA reference architectures, integrating colocation, GPU compute, networking, storage, and software layers. - Develop detailed Bills of Materials (BOMs), rack elevation diagrams, network topology drawings, and power/cooling budgets for customer proposals. - Define GPU cluster architectures using NVIDIA DGX, HGX, and MGX systems with B200, B300, and GB300 Blackwell SXM and NVLink-Switch configurations. - Design RTX PRO 6000 Blackwell Server Edition deployments for inference-optimized and enterprise AI workloads. - Conduct workload sizing and TCO/ROI modeling to validate infrastructure dimensioning for training, finetuning, and inference at scale. Colocation & Facility Planning - Specify colocation

Senior Applied AI Lead, Talent USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. Our Talent AI Team: We are at a very exciting stage of evolution at Netflix. As we experience growth in our employee population, lines of business, geographical footprint, and workforce heterogeneity, it is imperative that the Talent function evolves accordingly to shape and support this progress. One of the most critical parts of this evolution is the foundation upon which we can scale personalized and inclusive experiences for the workforce. Our Talent AI team is focused on helping to drive change at scale. The team is fundamentally helping to find ways to drive AI powered solutions in how we attract, develop, and retain the extraordinary people who power our business, while also helping to drive greater AI adoption and fluency across Talent. This team is critical in identifying, prototyping, and shipping AI-powered capabilities across the full Talent lifecycle. The team works closely with all functional areas across Talent - as well as Netflix's central AI teams. The Role: We are looking for a Senior Applied AI Lead who can bridge the gap between Talent's biggest opportunities and what is possible with today's AI

Director, Product Management - AI Observability New York, New York, USA Datadog is seeking a Director of Product Management to lead our AI Observability portfolio and shape how organizations build, monitor, and scale AI systems in production. This role leads LLM Observability and helps define the next wave of innovation across GPU Monitoring, Distributed AI Monitoring, and emerging research-oriented tooling such as Model Lab. You will set the vision and strategy for this rapidly growing area, expanding established products while incubating new capabilities that deliver deep visibility into AI infrastructure, model performance, and distributed AI environments. As AI becomes core to modern applications, this team plays a critical role in ensuring customers can deploy and scale AI with confidence. We're looking for a builder-minded product leader with strong technical depth and hands-on curiosity - someone who has built or worked closely with AI-powered products and understands the realities of production AI. You will lead a team of product managers and partner closely with engineering and design to advance Datadog's leadership in AI observability. 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

Technical Program Manager - Cloud Infrastructure and AI Platform USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. The Role This Technical Program Manager will lead high-impact, cross-functional programs across Netflix's Cloud Infrastructure and AI Platform that deliver meaningful outcomes for both platform reliability and customer needs. You will drive fleet-wide modernization, agility, scalability, reliability, and efficiency, while abstracting complexity for internal customer teams. This includes partnering on migrations, adoption, and scaling of cloud infrastructure platforms and the AI Platform, enabling ML and AI practitioners to seamlessly develop, train, deploy, serve, and manage models. This role requires experience driving cloud infrastructure scalability, reliability, and efficiency at scale, a proven ability to develop deep internal customer relationships, and an understanding of how to adapt cloud infrastructure for changing business needs. Netflix's Cloud Infrastructure serves as the backbone for Netflix's growing scale and engineering productivity, representing a critical strategic capability spanning compute, networking, storage, infrastructure management, performance engineering, and platform services. Responsibilities: Lead initiatives that drive adoption and scalability of infrastructure platforms, including large-scale platform modernization, migrations, and feature rollouts. Partner closely with leaders, engineers, PMs, and practitioners to decompose complex problem spaces into technical execution plans with well-defined

Senior Engineering Manager, Apple Data Platform Seattle, United States of America We are looking for a Senior Engineering Manager to lead the team building foundational systems and services that power Apple's AI and Data governance platform. This role sits at the intersection of Big Data management, ML infrastructure, and Generative AI, enabling teams across the company to move from data to trained models efficiently, reliably, and at scale. You will lead efforts that enable governance of large scale data-lakes, and GenAI infrastructure spanning the entire GenAI model development lifecycle. Your work will ensure compliance with the latest AI regulations while accelerating AI/ML development and experimentation. You will directly influence how ML practitioners develop and scale models across a wide range of products and services within Apple. As a Senior Engineering Manager in the AI and Data Governance group, you will lead the design and delivery of core systems and services that enable governance of Apple's data management and machine learning solutions, spanning the full ML lifecycle - from experimentation to large-scale training and deployment. This role requires strong leadership in infrastructure and distributed systems, paired with strategic thinking and effective execution in complex, cross-functional environments. You will work closely with Legal, Compliance, ML engineers, platform and infrastructure teams, and product partners to align on requirements, set technical direction, and deliver multi-quarter initiatives with broad organizational impact. We are looking for an experienced leader who is passionate about Governance, Big Data, and AI, with an experience of building world-class platforms at

Director Program & Ops AI Transformation San Jose, California, United States of America Join our team as Director, Program & Operations AI Transformation and lead the design and execution of AI-driven operational strategies at eBay. Drive cross-functional transformation, automate workflows, and partner with senior leaders to scale impactful AI initiatives. Shape the future of ecommerce with innovative, AI-first programs and make a measurable difference across the organization.

AI/ML Engineer, Applied Data Science Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Are you passionate about taking AI from prototype to production at scale? Do you enjoy the craft of prompt engineering, retrieval optimization, and grounding? Can you build AI systems that are not just impressive demos, but reliable production tools? The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization. The AI/ML Engineer role is central to this mission - prototyping AI solutions, then scaling them to production systems that attorneys rely on every day. The AI/ML Engineer builds AI capabilities from prototype to production. You will develop prompt engineering solutions, RAG pipelines, AI agents, and evaluation frameworks - starting with rapid prototypes to validate use cases, then engineering them into scalable, production-grade systems. This role requires both the creativity to explore what's possible and the rigor to build what's reliable. Prototype AI solutions to rapidly validate use cases and demonstrate feasibility Scale successful prototypes into production-grade systems with reliability, monitoring, and maintainability Implement prompt engineering solutions optimized for legal use cases Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and knowledge graphs Develop context engineering approaches that leverage the semantic layer for improved accuracy Implement grounding mechanisms to reduce hallucinations and improve factual

Manager II, Engineering - AI Platform Training, Serving and Storage Paris, France 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

Senior Software Engineer, Agentic AI Systems, Cloud Security San Francisco, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a part of Google Cloud Security, you will be redefining security for the new AI era. Your goal is to deliver highly differentiated and Google-scale agentic defense to empower customers to defend their enterprises at machine scale and speed. You will be at the forefront of revolutionizing the Google Security Operations (SecOps) through the power of artificial intelligence. You will be part of a team of talented engineers and applied scientists in building the next-generation of Security Agentic AI systems that will protect major organizations worldwide. As a Senior Software Engineer, you will contribute to the research, design, development,

Staff Engineering Manager, Search Real World Journeys New York, NY, USA Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. Google Search connects people with the world's information, and our team is at the heart of that mission. The Real World Journeys (RWJ) Infrastructure team builds the critical platform that scales the development of AI forward search experiences in high visibility verticals like travel, local, finance and more to Search's generative AI surfaces (like AI Mode and AI Overviews). Our foundational infrastructure enables vertical teams to innovate quickly while maintaining the low latency and high reliability

[REMOTE] Principal Software Engineer – Healthcare Analytics & AI United States, US At Oracle Health, we're building the future of healthcare - cloud-native Healthcare Solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work - enabling better patient care while ensuring accurate, timely reimbursement. We are modernizing Electronic Health Record and Revenue Cycle Management systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden. We're looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems. You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery. Key Responsibilities • Design and develop scalable data pipelines and AI-driven workflows. • Build LLM/agent-based solutions for business use cases (revenue leakage, readmissions, automation). • Own end-to-end features from data ingestion through transformation and on to insights. • Optimize systems for performance, scale, and low latency. • Mentor junior engineers and contribute to design decisions. Qualifications: • BS/MS in in Computer Science or equivalent. • 8+ years of relevant software engineering experience. • Strong software engineering skills in Python/Java. • Strong knowledge of SQL. • Deep expertise in data engineering: ETL, data transformation, data modeling (Spark, SQL) • Experience

Senior Staff Product Manager - Splunk AI Foundations 2 Locations The application window is expected to close on: 06/06/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Senior Staff Product Manager - Splunk AI Foundations Splunk is looking for a Senior Staff Product Manager to join our AI Foundations Team! We are building the core models and tools that power our entire product portfolio for global customers. In this role, you will help define the roadmap for high-scale AI, focusing on domain-specific models, agentic protocols, and orchestration platforms. The Team The Splunk AI Foundations Organization delivers Gen AI and ML-based solutions that enhance Cisco and Splunk products. We introduce new offerings that help customers deploy AI at scale responsibly, keeping security and observability at the center of every model. Your Impact As a Senior Staff Product Manager for the Splunk AI Foundations Team, you will be the architect of the "AI Engine Room" that powers the future of Splunk and Cisco's joint vision for AI-native digital resilience. You will be instrumental in crafting the core substrate of our platform-developing the foundational models, protocols, and orchestration tools that not only drive our internal Platform, Security, and Observability portfolios but are also shipped as a world-class platform to our global customers and developer ecosystem. In this role, you will lead the productization of domain-specific foundation models (such as the C isco Time Series Model). By building agentic workflow frameworks,

AI Platform Security Engineer Hybrid 2 Locations The application window is expected to close on: 05/27/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This is a hybrid position. Meet the Team Join Cisco's Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security -partnering across engineering, security, compliance, and product teams to bring trusted AI to life at enterprise scale. We are a fast-growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader. Your Impact Design and implement secure cloud architectures that enable enterprise-scale Generative AI platforms and services. Establish security guardrails, IAM strategies, and network controls to ensure AI workloads are deployed safely and compliantly. Embed security controls into CI/CD pipelines and infrastructure-as-code workflows to proactively reduce cloud misconfiguration risk. Lead threat modeling and risk assessments for AI systems to protect sensitive data, models, and inference endpoints. Partner with AI engineers, platform teams, and GRC stakeholders to operationalize security standards that enable innovation while reducing risk. Success in this role means delivering scalable cloud security patterns that

Staff Product Manager- AI Platform Remote - US & Canada (see posting for locations) Staff Product Manager, AI PlatformThe Opportunity: Define the Future of Agentic AI in the Enterprise Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. By revealing intent across voice, SMS, and digital channels, Invoca helps enterprises drive better customer experiences, increase revenue, and operate with confidence at scale. We are a fast-growing company defined by a strong product culture, deep technical ambition, and a commitment to building AI systems that are reliable, transparent, and outcome-driven. Join us to build the core intelligence layer for one of the most innovative enterprise platforms in the market.Build the Foundation for Agentic AI at Scale Invoca is building a shared AI Platform that powers every AI-driven product and every agentic experience we continue to deliver. This foundational platform is the execution layer behind Voice AI, SMS Agents, Signals, Scoring, and emerging copilots. This is a rare and critical opportunity to define how agentic AI actually runs in production inside an enterprise SaaS company. You will own the execution layer-from orchestration and context to governance, evaluation, and developer experience. Your work will determine not just what Invoca's AI can do, but how safely, consistently, and efficiently it does it at scale.The AI Platform Team The AI Platform team builds

Director of Product Management, Cloud Platform & AI San Jose, California, United States of America Join our team as Director of Product Management, Cloud Platform & AI and lead the transformation of our GreenLake platform into an agentic, AI-aware ecosystem. Drive strategy, shape innovation, and collaborate with cross-functional teams to deliver enterprise-scale solutions at the forefront of cloud and AI. Make a lasting impact in a dynamic, forward-thinking environment.