Manager of Solutions Architecture, Applied AI (Industries)

Join Anthropic as the Solutions Architecture Manager for Applied AI, where you will lead a dynamic team dedicated to transforming AI adoption in various industries. You will be pivotal in aligning cutting-edge AI solutions with the needs of Fortune 500 clients across sectors such as financial services, healthcare, and retail. Your expertise in technical consulting and sales will guide clients through their AI journeys, ensuring that our technologies, including Claude for Enterprise and Claude Code, are seamlessly integrated into their operations. As a leader, you will cultivate talent, set strategic goals, and foster partnerships that drive AI innovation and reliability.

We are seeking a talented and experienced Manager of Applied AI Solutions Architecture - Partnerships to join our innovative team at Anthropic. In this role, you will lead the design and implementation of AI solutions that enhance our collaborative partnerships. Your expertise will drive impactful AI applications while ensuring seamless integration with partner technologies.As a key player in our organization, you will manage a team of skilled architects and engineers, fostering an environment of creativity and collaboration. You will also engage with stakeholders to understand their needs and translate them into effective AI-driven solutions.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and steerability. The team includes researchers, engineers, policy experts, and business leaders, all working together to ensure AI benefits both users and society. Role Overview The Commercial Solutions Architect, Applied AI, joins Anthropic’s Applied AI team as a Pre-Sales Architect. This role centers on demonstrating the value of Claude and helping customers integrate and deploy it within their technology stacks. The position combines technical expertise with customer engagement to design LLM solutions for complex business needs, always maintaining Anthropic’s standards for safety and reliability. As a Commercial Solutions Architect, expect to work closely with key accounts, building reusable solution blueprints, demos, and enablement materials that support the wider adoption of Claude across Anthropic’s commercial clients. Collaboration is central: work alongside Sales, Product, and Engineering teams to guide clients from early technical discovery through to deployment. Use your knowledge to help customers understand Claude’s capabilities, develop evaluation strategies, and design scalable architectures that unlock the full potential of Anthropic’s AI systems. Location San Francisco, CA or New York City, NY

Anthropic seeks a Manager of Applied AI Architecture to lead projects focused on enterprise technology and cybersecurity. This leadership role centers on shaping AI-powered solutions that help clients address cybersecurity needs across different industries. Collaboration is key in this position. The manager will work closely with teams throughout Anthropic to ensure technology deployments meet client requirements and deliver strong results. Locations New York City, NY San Francisco, CA Seattle, WA

Join Cloudflare as a Senior Manager of Solutions Architecture focused on our AI and Developer Platform. In this pivotal role, you will lead a team dedicated to designing and implementing innovative solutions that leverage our cutting-edge technology. You will collaborate with cross-functional teams, guiding the strategic direction of our architecture and ensuring seamless integration of AI capabilities into our platform.Your expertise will help shape the future of our offerings, enabling developers to build exceptional applications. If you are passionate about technology, enjoy working in a dynamic environment, and have a track record of leading successful architecture initiatives, we want to hear from you!

Join Anthropic as a Solutions Architect specializing in Applied AI, focusing on state and local government initiatives. You will leverage cutting-edge AI technologies to develop innovative solutions that enhance public services. Collaborate with government agencies to identify challenges and implement effective AI strategies that improve efficiency and accessibility.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

Join Thorin as a Founding Product Manager!As a pioneering member of our team, you will play a pivotal role in shaping the future of applied AI solutions that redefine productivity in modern organizations.At Thorin, we leverage cutting-edge AI technology to create proactive agents that continuously monitor and optimize workflows across platforms like Slack, email, and meetings, ensuring that no task falls through the cracks.Our approach goes beyond traditional AI tools; we build real-time digital twins of organizational processes, enabling seamless automation and actionable insights over extended timeframes.With the visionary guidance of Joe Lonsdale and the backing of 8VC, Thorin is set to become a cornerstone of AI-driven productivity.

Be a part of our mission to redefine AI by leading innovations in document comprehension.About the PositionLlamaIndex is seeking an Applied AI Solutions Architect who thrives at the nexus of enterprise sales and technical implementation. This pivotal role is integrated into our revenue efforts—transforming skeptical engineering teams into advocates and guiding promising evaluations to successful contracts.You will manage the technical relationship from initial discovery through proof of concept, collaborating closely with Account Executives on real-time opportunities with leading AI innovators. Your role extends beyond simple product demonstrations; you will diagnose critical infrastructure issues, design tailored solutions, and cultivate trust with stakeholders who will depend on the architecture long after the agreement is finalized.Key ResponsibilitiesConduct in-depth technical evaluations, proofs of concept, and solution design sessions for enterprise clients across various industries and use cases.Collaborate closely with Account Executives to mitigate deal risks, identify technical challenges early, and establish credible pathways to success.Articulate complex AI and data infrastructure concepts effectively to both engineering teams and C-level executives in the same dialogue.Design and prototype solutions utilizing LlamaIndex's platform to meet customer demands concerning accuracy, latency, cost, and scalability.Act as the voice of the customer internally, providing insights to Product and Engineering that enhance our roadmap.Desired QualificationsSolid engineering background with hands-on experience in AI/ML systems, data pipelines, or enterprise software architecture.Proven track record in customer-facing technical roles, including pre-sales, solutions engineering, or technical consulting.Ability to operate in uncertain environments: you can define a problem, make informed assumptions, and progress without waiting for complete information.Strong go-to-market instincts—understanding what it takes to build technical consensus within a buying committee.Effective and confident communicator capable of translating system design trade-offs into business risks for executives.Prior experience with LlamaIndex or LlamaCloud is not mandatory; we value your thought process and problem-solving approach.

Role Overview:As an Applied AI Engineer at Mem0, you'll lead the charge from concept to execution. Your mission is to transform abstract customer use cases into tangible proofs-of-concept that vividly demonstrate Mem0's capabilities. This entails rapid full-stack prototyping, leveraging AI tools, and rigorously experimenting with memory retrieval methodologies until the end-to-end use case is operational. Collaborating closely with Research and Backend teams, you'll clearly communicate trade-offs and deliver successful prototypes ready for production refinement.Your Responsibilities:Develop Proofs of Concept: Create comprehensive demos (UI + APIs + data) that seamlessly integrate Mem0 into customer workflows.Innovate in Memory Retrieval: Experiment with various embeddings, indexing techniques, hybrid search, re-ranking, chunking/windowing, prompts, and caching to achieve optimal task-level quality and latency.Collaborate on Prototypes: Implement groundbreaking ideas and techniques sourced from academic research, compare them against established baselines, and adopt the most effective solutions.Design Evaluation Frameworks: Establish small gold sets and lightweight metrics to assess POC success; equip demos with basic telemetry.Integrate AI Tools: Combine LLMs, vector databases, Mem0 SDKs/APIs, and third-party services into cohesive workflows.Foster Close Collaboration: Work alongside Backend teams to establish clean contracts and data models; collaborate with Research on hypotheses; share insights and future steps.Document and Handoff: Produce clear documentation, scripts, and templates to facilitate rapid production transition by Engineering.Minimum Qualifications:Full-Stack Proficiency: Experience with Next.js/React for front-end development and Python backends (FastAPI/Django/Flask) or Node.js as required.Proficient in Python and TypeScript/JavaScript; capable of building APIs, wiring data models, and deploying quick demos.Hands-on experience with the LLM/RAG stack: embeddings, vector databases, retrieval strategies, and prompt engineering.Proven ability to rapidly prototype: transforming ideas into demos within days, not months; clear documentation of outcomes and trade-offs.Capacity to design small, impactful evaluations for use cases (quality + latency) and iterate based on data-driven evidence.Outstanding communication skills with Research and Backend teams; ability to produce crisp specifications, readable code, and honest status updates.

Join Anthropic as a Solutions Architect on our Applied AI team, where you'll empower innovative startups to harness the power of the Claude Developer Platform. You will be an invaluable technical partner, guiding founders and engineers to successfully architect and deploy cutting-edge LLM solutions. Collaborate with Account Executives and cross-functional teams to navigate technical discovery, build credibility, and maximize the AI capabilities for emerging businesses. Your role will include engaging with startups, providing insights, and participating in events to foster relationships and drive success.

About Mercor Mercor partners with leading AI labs and enterprises to advance the future of work. The company’s network of over 30,000 experts earns more than $2 million daily, sharing expertise that supports AI development beyond just code. Mercor’s mission is to create a new category of work where deep knowledge drives progress in artificial intelligence. Mercor is a Series C company valued at $10 billion. The team works in person five days a week from offices in San Francisco, New York City, and London. Role Overview: Engineering Manager, Applied AI This role leads engineering teams within the Applied AI division, focusing on systems that improve model quality, such as evaluation infrastructure and annotation tools. The Engineering Manager works closely with product and research groups to keep Mercor’s technology at the forefront of AI. The position is based in San Francisco and requires full-time, on-site presence. Key work includes building partnerships with top AI labs and directly improving advanced models through better data management, evaluation, and system enhancements. This role calls for strategic thinking, a hands-on leadership approach, and a strong sense of ownership. Main Responsibilities Team Development Manage and grow a team of 6-10 engineers Mentor engineers and support their professional growth Foster a culture of ownership and set high expectations for execution Shape hiring processes and engineering practices to build a high-performing team Applied AI Systems Create insights and methods for evaluation systems that measure and improve model performance Lead projects to improve data quality, operational efficiency, system stability, and scalability Scale products that generate high-quality training data and refine human-in-the-loop workflows Technical Leadership Guide system design for complex AI applications

Introducing OktaAt Okta, we are redefining identity management. As the world’s leading Identity Company, we empower individuals and organizations to engage securely with any technology, anywhere, and on any device. Our innovative platforms, Okta and Auth0, are designed to ensure secure access, authentication, and automation, placing identity firmly at the heart of business security and growth.We thrive on diverse perspectives and experiences. We seek dynamic individuals who are passionate about continuous learning and who can contribute uniquely to our mission.Be a part of our journey! Together, we are creating a world where identity is truly yours.The OpportunityAs a Principal Applied AI Marketing Engineer, you will play a pivotal role within the newly formed Marketing AI Spoke team. Acting as the lead product owner and technical architect, you will oversee a specialized portfolio of AI agents, workflows, and low-code/no-code applications. This position demands a unique blend of marketing expertise, technical skills, and analytical thinking to convert complex business challenges into effective, implemented AI-driven solutions.Your responsibilities will encompass the entire engineering lifecycle—defining, developing, testing, and deploying impactful initiatives that enhance our marketing productivity, operational efficiency, and customer engagement.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

Product ManagerPlatform for Heavy Industries | SF Bay AreaABOUT NEXXANexxa.ai is at the forefront of developing artificial superintelligence tailored for heavy industries. We empower machines, systems, and operations to autonomously think, decide, and execute across manufacturing, large-scale infrastructure, logistics, and legacy systems. Our goal is to transform groundbreaking technological advancements into real-world applications, addressing some of the most complex systems-level challenges faced by the industry.ROLE OVERVIEWWe are seeking an exceptional Product Manager with enterprise software experience to spearhead the NitroOS platform. This role involves navigating the intersection of AI, heavy industries, and business operations to define our product evolution and scalability in alignment with our overarching vision. This is not a mere feature factory position; you will be making crucial architectural decisions that influence how Fortune 100 companies integrate AI into their operations.KEY RESPONSIBILITIESLead the platform product roadmap—prioritize features, define milestones, and manage the journey from PRD to GA release.Craft comprehensive PRDs with acceptance criteria, success metrics, and technical constraints, collaborating closely with engineering and design teams.Transform deployment insights from customers into platform functionalities—recognizing patterns among clients and distilling them into reusable features.Establish and monitor product KPIs: adoption rates, engagement, time-to-value, and feature utilization across various modules (AI assistant, customer UI, intelligence graph, agent workflows).Facilitate feature prioritization, sprint planning, and backlog management with core engineering, ensuring consistent alignment with deliverable milestones.Collaborate with engineering stakeholders on platform architecture decisions—balancing trade-offs between customer-specific customizations and platform scalability.Conduct competitive analyses of industrial AI platforms to inform product positioning.IDEAL CANDIDATE PROFILE2–4 years of product management experience, with a minimum of 2 years focused on enterprise platform products.Demonstrated experience in developing developer platforms, data platforms, or enterprise workflow tools, with a solid understanding of APIs, integrations, and platform ecosystems.

Join Anthropic as a Solutions Architect in our Applied AI team, where you will play a pivotal role as a Pre-Sales architect. Your mission will be to empower federal civilian agencies with the insights and technical expertise needed to harness the full potential of our AI system, Claude. You will bridge the gap between complex technical solutions and customer needs, ensuring smooth integration and deployment within their technology frameworks. Collaborating closely with Sales, Product, and Engineering teams, you will guide clients from initial discovery through to successful implementation, helping them understand the capabilities of Claude and designing innovative architectures that address their unique challenges while adhering to our stringent safety and reliability standards.

Join Stripe as the Enterprise Solutions Architecture Manager for the AMER region, where you will lead a dynamic team dedicated to delivering cutting-edge solutions to our enterprise clients. You will work closely with cross-functional teams to define architecture strategies, ensure high-quality implementations, and drive customer success.

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

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

Join Demandbase as an Applied AI Scientist, where you'll have the opportunity to push the boundaries of AI technology in a dynamic and innovative environment. As a key member of our team, your role will involve developing and implementing advanced AI solutions that drive impactful business results.We're looking for a passionate individual who thrives on solving complex problems and is eager to contribute to AI advancements. You will collaborate with cross-functional teams to integrate AI models into our existing frameworks and enhance our product offerings.