Applied Ai Architects Manager Jobs

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

The Team + The Role Our Engineering Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents. As a Staff Software Engineer (AI), you will sit at the intersection of deep technical capability and strong product judgment. You will design and build production-grade AI systems, including RAG pipelines, agentic workflows, and LLM-powered features, while making clear tradeoffs across prompting, fine-tuning, architecture, evaluation, and deployment. You will also partner closely with product, design, and engineering stakeholders to frame the right problems and communicate technical decisions clearly. This role is based in our New York office. What this looks like day-to-day Applied AI systems: Design and build AI-native systems, including RAG pipelines, agentic workflows, and LLM-powered product features. You will take ideas from prototype through production and ensure they can support real users. Model strategy: Make principled decisions about when to prompt, when to fine-tune, and when to use a different technical approach entirely. You will explain those tradeoffs clearly to engineers and non-engineers. Evaluation and guardrails: Instrument and evaluate model outputs rigorously by defining evaluation frameworks and identifying hallucinations early. You will implement guardrails that hold up under real-world usage and load. Productionize AI ownership: Own model deployment, monitoring, latency optimization, cost management, and reliability at scale. You will ensure AI systems are observable, performant, and production-ready. Full-stack delivery: Contribute across the stack when needed to g

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines. This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration. Responsibilities: Own AI and computer vision projects end to end, from technical definition to production deployment; Translate product needs into system, data, model, and evaluation requirements; Define data collection, annotation, and validation strategies; Train and optimize deep learning models for real-world vision and multimodal applications; Build testing, benchmarking, and failure analysis workflows; Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs; Integrate models into production inference systems, including C++ edge pipelines; Work closely with software and product teams to ship reliable AI features at scale. Requirements: MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; Strong Python skills; Solid experience with PyTorch, TensorFlow, or similar frameworks; 4+ years of expe

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines. This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration. Responsibilities: Own AI and computer vision projects end to end, from technical definition to production deployment; Translate product needs into system, data, model, and evaluation requirements; Define data collection, annotation, and validation strategies; Train and optimize deep learning models for real-world vision and multimodal applications; Build testing, benchmarking, and failure analysis workflows; Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs; Integrate models into production inference systems, including C++ edge pipelines; Work closely with software and product teams to ship reliable AI features at scale. Requirements: MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience; Strong Python skills; Solid experience with PyTorch, TensorFlow, or similar frameworks; 4+ years of expe

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE AI Native is our segment for companies whose core product is AI, from their first model in production through serious scale. You'll be the first person at Baseten to reach many of these founders, and you'll win them early. This is a high-velocity, high-intensity seat. You're running many early-stage opportunities at once, moving fast with founders who move fast, and going deep enough technically to be useful on day one. If you want a front-row seat to the frontier of AI and the ambition to grow into our largest accounts, this is the seat. RESPONSIBILITIES Source, close, and grow new business with early-stage AI companies. You own pipeline generation, not just what's handed to you Run fast, technical sales cycles with founders and early engineering teams, from first call to first production workload Prioritize ruthlessly across a high volume of opportunities and drive each one forward without dropping the thread Pull in applied research and engineering when a deal needs depth, and keep everyone moving on your timeline Bring the field back to product. You see what early AI teams need before the rest of the market does REQUIREMENTS 2+ years of closing sales experience in a SaaS or infrastructure business, with a record of closing Genuine curiosity about open-source models and AI infrastructure. You follow model releases and can hold a real conversation with engineers Strong prioritization and project management ins

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are seeking a Sales Manager to help lead a team of Account Executives within our AI Native segment. This hire will be responsible for building and coaching a team of high-performing sales reps, driving revenue growth, and partnering closely with product and engineering to bring our cutting-edge AI infrastructure to customers. RESPONSIBILITIES Lead and mentor a team of AI Native Account Executives to consistently exceed pipeline and revenue goals. Help define and execution on go-to-market strategy for our fastest growing customer segment. Hire and scale the team by recruiting, interviewing, and onboarding top talent Collaborate cross-functionally with Marketing, Product, and Engineering to align customer needs with Baseten’s product roadmap. Be deeply engaged with the product, enabling reps to have highly technical conversations with prospects and customers. Foster a culture of accountability, learning, and collaboration within the sales team. REQUIREMENTS 4+ years of closing sales experience, with 2+ years in management leading high-performing teams. Strong technical acumen, ideally with background in AI infrastructure, cloud infrastructure, or developer platforms. Comfortable operating in the weeds with technical products and guiding reps through complex deals. Proven track record of success in high velocity sales environments. Based in San Francisco or New York City and open to coming in office at least 3 d

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE AI Native is our segment for companies whose core product is AI, from their first model in production through serious scale. You'll be the first person at Baseten to reach many of these founders, and you'll win them early. This is a high-velocity, high-intensity seat. You're running many early-stage opportunities at once, moving fast with founders who move fast, and going deep enough technically to be useful on day one. If you want a front-row seat to the frontier of AI and the ambition to grow into our largest accounts, this is the seat. RESPONSIBILITIES Source, close, and grow new business with early-stage AI companies. You own pipeline generation, not just what's handed to you Run fast, technical sales cycles with founders and early engineering teams, from first call to first production workload Prioritize ruthlessly across a high volume of opportunities and drive each one forward without dropping the thread Pull in applied research and engineering when a deal needs depth, and keep everyone moving on your timeline Bring the field back to product. You see what early AI teams need before the rest of the market does REQUIREMENTS 2+ years of closing sales experience in a SaaS or infrastructure business, with a record of closing Genuine curiosity about open-source models and AI infrastructure. You follow model releases and can hold a real conversation with engineers Strong prioritization and project management ins

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE TEAM The GTM AI Engineering team is part of Snowflake's Data Analytics & AI organization and builds the internal AI platform and intelligent applications that power Snowflake's Go-To-Market organization. We develop production-grade AI systems used daily by thousands of employees across Sales, Solution Engineering and Marketing. As a Senior AI Engineer, you will build the backend services, platform infrastructure, and AI capabilities that power next-generation agentic applications. You will work at the intersection of distributed systems, backend engineering, applied AI, and internal product development, designing scalable, reliable, and secure systems that enable intelligent experiences with direct business impact. This role offers the opportunity to shape a rapidly growing internal AI platform, establish engineering best practices, and build AI products that directly accelerate Snowflake's growth. IN THIS ROLE, YOU WILL: Design and build scalable backend services and distributed systems that power production AI and agentic applications. Develop APIs, orchestration services, and platform capabilities for internal AI products. Build reusable AI platform components, including agent frameworks, evaluation pipelines, developer SDKs, templates, and shared Python li

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Account Manager for AI-Native and Boutique SI Partners at Anthropic, you will own the relationship with a portfolio of our key AI-native and boutique systems integrator partners. These are the specialist services firms enterprises turn to when they want to design, build, and deploy production-grade AI with Claude, and they are among the fastest-moving partners in our ecosystem. Your job is to turn each of those relationships into a growing joint business: a shared plan, a healthy pipeline, and customers in production. This is a commercial role first. You will build joint business plans with partner leadership, work with your partners' sales teams on live opportunities, team up with Anthropic's Partner Sales team to bring those partners into the right accounts, and keep a clear, accurate view of how each partner is performing. You will work closely with our Partner Sales, Partner Programs, Partner Support, Partner Activations, and Partner Success teams so your partners get the full value of what Anthropic offers, and you will bring what you hear from partners back to those teams. This role reports to the Head of Boutique & AI-Native SIs and works closely with sales, product, and applied AI teams to make sure our SI partners are equipped to win and deliver transformative AI solutions for their clients. Responsibilities Partner Development and Go-to-Market Own and manage relationships with a portfolio of key AI-native and boutique SI partners, from practitioners through to founders and executive leadership Develop and execute joint go-to-market strategies that drive partner-sourced and partner-influenced p

About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. This role is open in our Singapore office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In This Role, You Will Build, manage, and develop a high-performing team of Applied AI Engineers supporting

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As a Scale Growth Account Executive at Anthropic, you'll own a portfolio of roughly 6-8 of our most strategic and fastest-scaling AI-native startup customers, driving expansion and retention by helping them harness the transformative potential of safe, frontier AI. These are companies that build on Anthropic's models and are now scaling quickly — your job is to grow with them. You'll leverage your consultative sales expertise to expand revenue across complex, multi-stakeholder accounts while becoming a trusted strategic advisor to founders and executive teams, helping them expand their AI capabilities and unlock new use cases. Working closely with GTM, Applied AI, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions. The ideal candidate will combine strong commercial acumen with executive relationship management skills, focusing on growing large accounts through strategic expansion while maintaining high retention rates in a competitive market. By driving expanded deployment of Anthropic's products at the companies defining what AI-native looks like, you will help them scale their AI capabilities while advancing its safe and ethical development. Responsibilities: Drive revenue growth through strategic account expansion and renewals across a focused portfolio (~6-8) of Anthropic's largest AI-native startup customers. Own the full sales cycle for upsell and renewal opportunities while maintaining strong retention rates Build and maintain trusted relationships with founders, board members, and executive stakeholders, as well as the

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re looking for a Manager/ Sr. Manager to lead Finance Analytics—redefining how Finance leverages data, automation, and AI to operate at scale. This role sits at the intersection of analytics engineering, data product development, and applied AI, and is responsible for building both the team and the systems that power next-generation Finance. You won’t just deliver dashboards—you’ll lead the development of scalable data products, intelligent workflows, and AI-driven applications that transform how Finance operates, makes decisions, and drives efficiency. This is a highly cross-functional leadership role requiring a balance of strategy, execution, and people leadership. You’ll partner closely with Finance, business stakeholders, and Engineering to translate ambiguity into durable, production-grade solutions. In this role, you will: Set vision and lead execution Define and drive the roadmap for Finance Analytics, aligned to business priorities and long-term data strategy. Translate ambiguous business problems into scalable data products, AI solutions, and automation initiatives. Build and lead a high-performing team Hire, develop, and mentor a team of analysts, analytics engineers, and data product builders. Establish best practices across data modeling, experimentation, an