Ai Platform Engineer Jobs

Our sales team is focused on finding efficient paths to successful, profitable, long-term customers by building a user-driven marketing and sales engine . We act as a key voice of the customer to the product team, helping identify and overcome technical, educational, and competitive obstacles to our continued growth . In this role, you will join a newly formed team bringing Asana Service Management to IT and service teams, partnering with a dedicated Account Executive to build repeatable technical plays that scale across Asana's field organization. You will serve as an extended part of the product General Manager's team, translating customer pain points into practical solution designs while directly shaping how our product, demos, and technical positioning evolve. This role is based in our London office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Partner with the incubation Account Executive to lead technical validation for IT and service team opportunities within various customer segments and industries, from discovery through proof, demo, and close Develop a deep understanding of IT and service management workflows—including request intake, approvals, triage, fulfillment, cross-functional coordination, and knowledge sharing—and map those workflows to Asana Service Management Translate customer pain points into practical solution designs and compelling business value narratives for IT leaders, service owners, and cross-functional stakeholders Conduct technical discovery sessions, whiteboard conversations, and tailored product demonstrations that position Asana within the customer's existing technology landscape Help custo

Our sales team is focused on finding efficient paths to successful, profitable, long-term customers by building a user-driven marketing and sales engine . We act as a key voice of the customer to the product team, helping identify and overcome technical, educational, and competitive obstacles to our continued growth . In this role, you will join a newly formed team bringing Asana Service Management to IT and service teams, partnering with a dedicated Account Executive to build repeatable technical plays that scale across Asana's field organization. You will serve as an extended part of the product General Manager's team, translating customer pain points into practical solution designs while directly shaping how our product, demos, and technical positioning evolve. This role is based in our Dublin office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Partner with the incubation Account Executive to lead technical validation for IT and service team opportunities within various customer segments and industries, from discovery through proof, demo, and close Develop a deep understanding of IT and service management workflows—including request intake, approvals, triage, fulfillment, cross-functional coordination, and knowledge sharing—and map those workflows to Asana Service Management Translate customer pain points into practical solution designs and compelling business value narratives for IT leaders, service owners, and cross-functional stakeholders Conduct technical discovery sessions, whiteboard conversations, and tailored product demonstrations that position Asana within the customer's existing technology landscape Help custo

Our sales team is focused on finding efficient paths to successful, profitable, long-term customers by building a user-driven marketing and sales engine . We act as a key voice of the customer to the product team, helping identify and overcome technical, educational, and competitive obstacles to our continued growth . In this role, you will join a newly formed team bringing Asana Service Management to IT and service teams, partnering with a dedicated Account Executive to build repeatable technical plays that scale across Asana's field organization. You will serve as an extended part of the product General Manager's team, translating customer pain points into practical solution designs while directly shaping how our product, demos, and technical positioning evolve. This role is based in our Munich office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Partner with the incubation Account Executive to lead technical validation for IT and service team opportunities within various customer segments and industries, from discovery through proof, demo, and close Develop a deep understanding of IT and service management workflows—including request intake, approvals, triage, fulfillment, cross-functional coordination, and knowledge sharing—and map those workflows to Asana Service Management Translate customer pain points into practical solution designs and compelling business value narratives for IT leaders, service owners, and cross-functional stakeholders Conduct technical discovery sessions, whiteboard conversations, and tailored product demonstrations that position Asana within the customer's existing technology landscape Help custo

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's AI Group is responsible for defining new ML products, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, novel applications of transformer neural networks and fine-tuned LLMs. We test and measure the real customer impact of everything we deploy. We plan to double in size, and are on the lookout for an experienced manager to manage a team of highly-performing ML scientists. Engineering managers in Fin are not just people

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory da

We're seeking a driven, entrepreneurial Solutions Engineer to join a newly formed team bringing Command by Asana to product development and engineering teams. This is a unique opportunity to be at the ground floor of an emerging go-to-market motion, partnering with a dedicated Account Executive and cross-functional teammates to build repeatable technical plays that will scale across Asana's field organization. You will be an extended part of the product General Manager's team, helping bring customer feedback to the product team and shape how the product, demos, and technical positioning evolve. You'll work with Engineering leaders, product development teams, and cross-functional stakeholders who are looking to modernize how they coordinate work, deflect repetitive requests, and deliver better employee experiences. This role requires strong technical curiosity and customer empathy—you'll lead discovery, technical validation, and solution design while partnering seamlessly with Asana's existing Account Executives, Customer Success Managers, and core Solutions Engineers to support both net-new and expansion opportunities. This role is ideal for someone who understands the Engineering buyer, thrives in ambiguity, loves building from the ground up, and is energized by the chance to help define a new market motion at Asana. This role can either be fully remote depending on where you live in the UK, or based in our London office with an office-centric hybrid schedule. If based in-office: The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Partner with the incubation Account Executive to lead technical validation for Engineering and product development opportunities within mid

We're seeking a driven, entrepreneurial Solutions Engineer to join a newly formed team bringing Command by Asana to product development and engineering teams. This is a unique opportunity to be at the ground floor of an emerging go-to-market motion, partnering with a dedicated Account Executive and cross-functional teammates to build repeatable technical plays that will scale across Asana's field organization. You will be an extended part of the product General Manager's team, helping bring customer feedback to the product team and shape how the product, demos, and technical positioning evolve. You'll work with Engineering leaders, product development teams, and cross-functional stakeholders who are looking to modernize how they coordinate work, deflect repetitive requests, and deliver better employee experiences. This role requires strong technical curiosity and customer empathy—you'll lead discovery, technical validation, and solution design while partnering seamlessly with Asana's existing Account Executives, Customer Success Managers, and core Solutions Engineers to support both net-new and expansion opportunities. This role is ideal for someone who understands the Engineering buyer, thrives in ambiguity, loves building from the ground up, and is energized by the chance to help define a new market motion at Asana. This role can either be fully remote depending on where you live in Ireland, or based in our Dublin office with an office-centric hybrid schedule. If based in-office: The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Partner with the incubation Account Executive to lead technical validation for Engineering and product development opportunities within mi

Command by Asana is a new product purpose-built for software development teams that helps engineers stay in flow Command automatically catalogs the decisions, context, and next steps agents need to stay efficient and keep moving. Engineers spend less time unblocking agents and more time on what’s next. Assists EMs with releases that de-risk themselves Command monitors scope, dependencies, pacing, and risks in real time, surfacing blockers and adjusting plans before they cascade into delays. Enables leaders to always know the status, without the meetings required Command gives leaders a custom, queryable view of the strategic work that's important to them, so they know what is truly at risk and why without waiting for a status update. We are building the first Solutions Engineering overlay team to support Command's go-to-market motion, partnering closely with customers to demonstrate how modern software teams can plan and execute with clarity, not theater. The Opportunity We're seeking a driven, entrepreneurial Solutions Engineer to join a newly formed team bringing Command to product development and Engineering teams. This is a unique opportunity to be on the ground floor of an emerging go-to-market motion, partnering with a dedicated Account Executive and cross-functional teammates to build repeatable technical plays that will scale across Asana's field organization. You will be an extended part of the Product Lead/General Manager's team, helping bring customer feedback to the product team and shape how the product, demos, and technical positioning evolve. You'll work with Engineering leaders, product development teams, and cross-functional stakeholders who are looking to modernize how they coordinate work, deflect repetitive requests, and deliver better employee experiences. This role requires strong technical curiosity and customer empathy—you'll lead discovery, technical validation, and solution design while partnering seamlessly with Asana's existin

About the Team The Meesho AI Services team is dedicated to revolutionizing customer support through cutting-edge AI technologies like chatbots, voicebots, and predictive analytics. We will partner with call centers and BPOs to deliver seamless, efficient, and customer-focused operations. In addition to driving technology and process excellence, we actively manage client and partner relationships to ensure alignment on goals and continuous improvement. If you’re passionate about AI, building strong partnerships, and creating impactful change, this is the team for you! About the Role We’re building a next-generation AI Services business (MAS) and are looking for a Strategy & GTM Lead to help shape, scale, and accelerate growth. This is not a typical strategy role. You will operate at the intersection of sales, marketing, product, and customer insight—owning critical levers that drive revenue and market positioning. We’re looking for someone high-agency, deeply curious, and AI-native—someone who doesn’t just analyze problems but builds solutions from scratch.

About the Team The Technology Vertical team builds within Core Products. The team’s mission is to transform every major function in a technology company with AI to drive higher economic output, while people remain owners of the outcomes: setting intent, applying judgment and craft, directing iteration, and owning the result. About the Role As a Product Manager on the Technology Vertical team, you will shape how knowledge workers use AI in their daily work. You’ll craft enterprise products at the intersection of novel research capabilities and genuine enterprise needs, driving the full feedback loop from research, to product, to OpenAI’s own enterprise functions, to the broader Technology Vertical. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Own the product roadmap for a line of business within tech verticals, using OpenAI’s organization to test, refine, and scale new workflows. Develop the ecosystem strategy across technology partners in your line of business You might thrive in this role if you: Have built enterprise products for non-developer knowledge workers and understand the needs of both individual contributors and organizational buyers. Can turn complex workflows, integrations, and permission requirements into clear product decisions. Are comfortable developing a strategy while working closely with engineers, customers, and cross-functional partners to ship and learn. Bring strong judgment about which vertical-specific needs should become reusable capabilities across a broader product. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and

About the team The ChatGPT Library team is building the persistence layer that helps people and organizations collaborate with increasingly capable AI systems. ChatGPT Library provides users with a durable place for their files, context, and creations, forming a substrate between humans and agents—a foundation for AI that can remember, retrieve, and act on the right context over time. The team sits within the Personalization organization and partners closely with product, design, research, model, and infrastructure teams. Its work helps models become a useful second brain for individuals—for example, answering questions such as “What did I work on last week?”—and supports enterprise use cases that turn company knowledge into accessible, actionable context. About the role We are looking for a hands-on engineering manager to lead a team of approximately 9–10 engineers and own execution across the product roadmap. This is a technical leadership role for someone who can set a high product bar, build a strong team, shape architecture, and contribute directly when needed. You will form and translate an ambitious product vision into a focused roadmap and help the team ship reliable, intuitive experiences at the intersection of AI, knowledge, and collaboration. The ideal candidate leads by example. You are comfortable moving between people leadership, product decisions, technical design, and code. Founder or early-stage startup experience is especially valuable because the role requires urgency, sound judgment under ambiguity, and a willingness to operate across boundaries. In this role you will • Lead, coach, and grow a team of approximately 9–10 engineers while creating clarity, accountability, and a healthy execution rhythm. • Own the engineering roadmap for Library, working with product and design partners to prioritize the highest-impact problems. • Set a high bar for product quality, technical excellence, reliability, privacy, and user trust. • Provide hands-on techni

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Nous construisons quelque chose de nouveau au sein de notre studio d’IA et recherchons un(e) ingénieur(e) full stack pour le développer avec nous. Ce poste se situe au cœur d’une nouvelle plateforme actuellement en cours de conception et de déploiement. L’architecture prend encore forme et le périmètre des intégrations s’élargit constamment. Ce qui nous enthousiasme, c’est l’occasion de bâtir l’infrastructure qui rendra possibles des expériences de personnages inédites. Nous travaillons à la croisée de la narration, de l’imagination et de la technologie. Notre objectif est de construire la plateforme de base : les API, les outils d’administration, les intégrations de services et l’infrastructure de livraison qui rendent réelles les interactions avec des personnages propulsées par l’IA. Ce travail relie la vision des équipes de marque et de création à l’expérience finale des publics. Ce poste est fondamental pour l’ensemble de la plateforme. En étroite collaboration avec le/la responsable de l’ingénierie et l’ingénieur(e) principal(e) en IA, l’ingénieur(e) full stack sera responsable de portions importantes du système, de bout en bout — depuis les outils qui configurent et versionnent le comportement des personnages jusqu’à la couche API consommée par les partenaires externes et les produits. La réussite dans ce rôle consiste à livrer des fonctionnalités robustes en conditions réelles et à intégrer de manière fiable les services d’IA qui donnent vie aux personnages. Vos responsabilités Concevoir et développer des fonctionnalités po

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field. The Team The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. If you're excited about advancing the next gen

Opportunity Get Well is looking for an experienced Senior Software Engineer to join our healthcare technology team and build next-generation, cloud-native and on-premise environment healthcare applications. You will play a key role in designing, developing, and deploying scalable, secure, and high-performance solutions that enable healthcare organizations to deliver better patient outcomes. The ideal candidate is passionate about software engineering, cloud technologies, AI-driven development, and healthcare interoperability standards. You will collaborate with cross-functional teams to build innovative products that meet healthcare compliance, security, and regulatory requirements. Key Responsibilities Design, develop, and maintain scalable cloud-native and on-premise environments, using modern software engineering practices. Build and enhance distributed microservices-based systems with high availability, performance, and security. Develop RESTful APIs and enterprise-grade backend services. Build responsive and modern user interfaces using contemporary frontend frameworks. Design and implement containerized applications using Docker and Kubernetes. Work with messaging systems and distributed event-driven architectures. Develop AI-powered applications leveraging Large Language Models (LLMs) Utilize AI-assisted development tools to improve engineering productivity and software quality. Build secure, compliant software aligned with healthcare regulations and industry best practices. Design and implement CI/CD pipelines and participate in DevOps initiatives. Collaborate closely with product managers, architects, QA engineers, and clinical domain experts. Integrate healthcare applications with industry interoperability standards including HL7, FHIR, and CDA. Participate in architecture discussions, code reviews, mentoring, and continuous improvement initiatives. Required Qualifications Bachelor's or Master's degree in Computer Science or related technical discipline. 5