Ai Runtime Engineer Jobs

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Essential Responsibilities: Define and continuously evolve the enterprise-wide vision, transformation strategy, and multi-year roadmap for responsible AI adoption and business transformation. Partner with executive leadership to identify strategic opportunities where AI can fundamentally improve operating models, productivity, decision-making, customer outcomes, and enterprise value creation. Serve as the principal advisor to senior executives on AI transformation opportunities, risks, industry trends, governance considerations, and investment priorities. Establish enterprise-wide transformation frameworks, operating models, governance processes, and portfolio management methodologies that guide AI adoption across all business functions. Oversee the enterprise AI transformation portfolio, ensuring prioritization and investment decisions align with corporate strategy, expected value, organizational readiness, and risk tolerance. Sponsor and guide the most complex, high-impact, and strategically significant AI transformation initiatives across the organization. Establish standardized approaches for business case evaluation, value realization measurement, prioritization, scalability assessment, and benefits tracking. Establish and continuously enhance enterprise policies, governance structures, standards, and accountability frameworks for responsible AI adoption. Lead executive and enterp

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. As a Product Manager on the AI & Data Foundations team, you will build the shared platforms that power Plaid’s AI and data capabilities. This is early-stage, hands-on work: you’ll partner with data, ML, and platform engineers to take capabilities from 0→1 and scale them into infrastructure that is accessible, reliable, and easy to use across Plaid. Your scope will span our AI platform (e.g., LLM gateway, eval infrastructure), our data platform (e.g., Databricks, AI-powered data tooling), and the systems connecting the two. This role is for an experienced platform PM who is excited about the rapidly evolving intersection of data infrastructure and AI. You are technically fluent, strategic, and execution-oriented, and know how to turn emerging capabilities into reliable platforms, primitives, and tools that other teams can build on. Responsibilities AI & Data Foundations Strategy: Define the vision, roadmap, and success metrics for the shared platforms that power data and AI development across Plaid. Platform Development : Partner with data, ML, and platform engineers to design and ship foundational capabilities spanning AI infrastructure, developer tooling, data platforms,

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The AI Transformation team AI Transformation is a small, focused squad that is driving Multiverse’s next wave of growth. Our mandate is to rebuild how the company actually works, function by function, and to establish the practices that make Multiverse an AI-first company from the core out. But our work doesn’t stop there. We are building a product that we will take to market to truly be a transformation partner to our customers. Joining this team means shaping the future of Multiverse, of our customers, and of the wider workforce as we navigate the new world of work. The team is high velocity, inherently cross-functional and broad in scope. We work alongside colleagues whose work we are reimagining, and closely with the wider engineering org building Multiverse's current customer-facing product. The structure is flat and fast, with egos left at the door, bias to action and fun at our core. What your day-to-day will look like Every day will be different, but you can expect

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Position: Search Engine Optimization (SEO) Engineer 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Summary We are looking for a Technical SEO Specialist with strong expertise in modern SEO , technical optimization , and Generative Engine Optimization (GEO) / AI Searc h to strengthen our online visibility and organic growth. The role will be responsible for improving website technical performance , search engine rankings , content discoverability , and visibility across AI-powered search platforms such as Google AI Overviews and other generative search engines. The ideal candidate combines strong technical SEO knowledge with an understanding of how search algorithms and AI-driven search experiences are evolving. Requirements Is a plus if proficiency in English or other foreign languages (written preferable) is required to conduct localized keyword research, content optimization, and competitor analysis in the target markets in United States, Australia or Euro countries ( United Kingdom, Italy, Turkey, France, Germany, Spain, Netherlands, Belgium, Sweden, Portugal and so on) Experience managing overseas SEO projects and optimizing websites for Western Markets is highly preferred. Keywords for this post include Content Gap Analysis, Competitor Analysis, Organic Traffic, Ranking Positions, Domain Authority, Conversion Rate Manage

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role As an AI Deployment Manager (ADM) at SpaceXAI, you’ll own the post-sale journey for a portfolio of enterprise customers, driving adoption, retention, and expansion. You’ll help organizations successfully roll out Grok, Grok Build (Cursor), Grok Bot, and Grok APIs and evolve how they work with AI across knowledge work and coding. You’ll operate at the center of each account, partnering with developers, admins, and executives while working closely with Sales, Field Engineering, Product, and Support. You’ll shape rollout strategy and influence SpaceXAI’s roadmap priorities through customer insight. Success is measured by customer retention, product adoption, and revenue expansion. What you’ll do Manage a book of business with our top enterprise customers, owning the long-term success of each account Engage CTO / VP / SVP Engineering stakeholders to demonstrate ROI and guide AI-driven organizational change Lead enterprise rollouts end-to-end: onboarding, enablement, internal champions, and scaled adoption Turn high-impact use cases into durable, repeatable workflows across teams Monitor account health and usage data to drive renewals and expansion with AEs Represent t

CSQ427R440 The Databricks Customer Enablement team is on a mission to upskill data and AI professionals in customer organizations so they can use Databricks effectively and accelerate customer success. As a Customer Enablement Architect, you will design and lead customer enablement and talent-transformation programs across Australia and New Zealand. You will partner with Sales, Field Engineering, Forward Deployed Engineering, Training Delivery, and Operations to understand customer needs, recommend the right learning solutions, and ensure successful execution. You will balance strategic customer engagement with program and commercial execution across training bookings, revenue, learners, credentials, and adoption. You will bring enough technical depth to understand Databricks curriculum and certifications, make credible recommendations, and engage confidently with technical stakeholders—without being expected to deliver deep hands-on technical training. The impact you will have Work with regional Go-to-Market teams to create enablement strategies aligned to customer segment, business priorities, technical maturity, and talent-transformation goals. Translate customer outcomes into practical learning plans, capability roadmaps, and recommendations across free and paid training, instructor-led and self-paced learning, credentials, and partner delivery. Partner with global Delivery and Operations teams to coordinate scheduling, communications, program quality, and seamless execution of customer development plans. Manage and report weekly, monthly, and quarterly performance across training bookings, revenue, learners, credentials, and adoption; use insights to guide action from field teams. Serve as the voice of the customer for regional enablement, curriculum, and certification priorities, while engaging senior leaders and executives internally and externally. Identify capability gaps that may affect platform adoption and work with account teams on targeted

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 Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines — and building the technical infrastructure to back that up. You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners. Responsibilities: Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are the Compute and Memory Business Unit (CMBU), driving the innovation behind Micron's next generation DRAM solutions for AI, data center, and client computing platforms. Our team collaborates across product architecture, design, validation, and system engineering to solve complex challenges in bandwidth, power, reliability, and scalability. Together, we help shape the future of memory technology for the world's most demanding compute environments. As a Product Architecture Engineer focused on Signal Integrity (SI) and Power Integrity (PI), you will define the electrical architecture that enables next-generation DRAM products. This highly visible role combines deep technical expertise with system-level thinking to influence product roadmaps, guide design decisions, and partner with industry-leading ecosystem stakeholders. Your work will help deliver memory solutions that power tomorrow's AI and high-performance computing platforms. Responsibilities: Lead SI/PI architecture pathfinding for next-generation DRAM products across AI, data center, and client platforms Define channel, package, board, and module-level SI/PI requirements and design targets for product development Evaluate DDR and LPDDR electrical performance, including timing, jitter, signal margin, crosstalk, impedance, reflections, and power delivery behavior Develop and apply modeling, simulation, and correlation methodologies using industry-standard EDA tools and validation data Partner across design, validation, package,

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday) You’ll be responsible for: Working directly with customers to troubleshoot and resolve their most complex technical issues,

About Stripe Stripe's infrastructure and suite of APIs powers hundreds of thousands of businesses—from startups to Fortune 500s—in almost every country around the world. From developers and product managers to founders and CFOs, a broad audience interacts with Stripe's products and uses them to start, run, and scale their companies. Removing the barriers to online commerce helps more new businesses get started, expedites growth for existing companies, and increases economic output and trade globally. We operate at a significant scale, but we're still tiny relative to the opportunity ahead, so there is still much to do. Join us and help put the global economy within everyone's reach. Role Overview We're seeking an experienced, creative, and results-oriented marketer who knows the AI ecosystem to drive world-class field marketing for AI organizations in the Americas region. This field marketer will be responsible for executing marketing strategies that delivers growth and revenue at scale for AI businesses. The ideal candidate is data-driven, relentlessly seeks to optimize, stays at the cutting edge of modern marketing practices, and has a passion for collaborating with sales teams to drive successful customer outcomes. As a member of the Americas Marketing team, this is a great opportunity to build and have a significant impact on our rapidly growing business. About the Team The Americas Marketing team is a high-performing group laser-focused on fueling Stripe's expansion across the region. You'll have the opportunity to make a significant impact by building and optimizing programs and strategies. You'll collaborate closely with cross-functional partners in Sales, Product, Partnerships, and others to drive measurable business results and growth. You will: Execute the regional field marketing strategy and plan to fuel pipeline growth with the AI sales teams across the Americas Monitor key business and revenue metrics, providing cross-functional ins

About Outreach Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few. About the Team Our AI Advisors are where the promise of the platform becomes real for our customers. We act as trusted advisors — to our customers and to each other — partnering across Sales, Product, Marketing, and Professional Services as one team working towards the same outcome: customers who see measurable value and keep coming back for more. AI is part of how we get there — sharpening the insights we bring to every customer conversation. We lead with a customer-first mindset, take ownership of the results we commit to, and bring the curiosity to keep learning as the way our customers' work continues to evolve. The Role We're looking for a strategic, data-driven Senior GTM AI Advisor to partner with customers in maximising value from our platform — leveraging AI to drive efficiency, adoption, and business outcomes. This role blends traditional CSM responsibilities with a strong focus on AI enablement, insights, and automation. AI is transforming how our customers operate, and this role makes sure they adopt it while they realise its full value, moving from manual processes to intelligent, automated workflows that drive real business impact. Success in this role shows up in the numbers our customers and Outreach both care about; Net Revenue Retention, Gross R

AI Teammates are Asana’s flagship AI innovation - autonomous agents embedded directly into enterprise workflows that reason, act, and proactively drive work forward. The AI Teammates Platform (AITP) team owns the execution engine and platform layer that makes these AI Teammates effective, reliable, and scalable. We build the core systems behind agentic execution: model evaluation and rollouts, proactive detection of blocked work, execution quality infrastructure, tool orchestration, and the platform APIs that power AI across all of Asana engineering. Rather than building a monolithic feature, we build a composable foundation. If a Teammate reasons, acts, or autonomously improves - that’s us. We’re looking for an experienced Staff Software Engineer to drive the technical strategy, architecture, and execution for the AI Teammates Platform. You will bridge the gap between frontier AI capability and enterprise-grade software engineering, operating in close partnership with frontier model providers while building systems that scale to millions of users. If you are passionate about applied AI, agentic orchestration, high-reliability backend systems, and growing high-performing engineering teams, we’d love to hear from you! This role is based in our San Francisco 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 Set the technical strategy for the AI Teammates execution engine, tool orchestration, and platform APIs within Asana, advocating for engineering-driven investments with a vision for keeping our systems flexible, reliable, and maintainable to meet customer needs now and in the future Drive the team to continually and hol

Eulerity is the leading marketing automation platform for multi-location and franchise brands. Through our AI-powered system, businesses can simplify campaign creation, automate performance optimization, and consolidate insights across all major digital channels. Our platform empowers marketers to drive smarter decisions, reduce spend, and scale growth with unmatched efficiency. The Role: We are seeking a driven and skilled individual to join our expanding sales team. This is a full-cycle closing role for a proven performer with a background in mar-tech. You will be responsible for managing the entire sales process, from discovery to contract negotiation, targeting mid-market and multi-location brands. You will partner closely with our Sales Development team to build a robust pipeline while also generating your own opportunities. If you are a quota-crushing salesperson who excels at running sophisticated product demonstrations, articulating clear business value, and closing new logos, this is the perfect opportunity to make a significant impact at a high-growth company. Responsibilities: Consistently meet and exceed quarterly and annual sales quotas. Manage complex, multi-stakeholder sales cycles from initial discovery and product demonstration to contract negotiation and close. Become an expert in the Eulerity platform, articulating its business value and ROI to marketing VPs, Directors, and franchise owners. Partner with your assigned Sales Development Representative (SDR) to build a robust pipeline and convert qualified opportunities. Generate self-sourced opportunities through your own targeted prospecting and relationship-building. Maintain a meticulous and accurate forecast of your pipeline and sales activity in our CRM (Hubspot). Collaborate with Customer Success, Product, and Marketing teams to ensure a smooth client handoff and provide valuable market feedback. Requirements: 4-7 years of full-cycle SaaS sales experience, with a demonstrable track record of

AI/ML Solution Architect Education & Assessment Platforms About Pratham International Pratham International is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation to contexts across the global south through programming and technical assistance tailored to local realities. Today, Pratham innovations reach millions of children annually through partnerships across ~30 countries. Through the Pratham Shah PraDigi Innovation Centre (PraDigi), Pratham International also seeks to create technology innovations for low-resource communities, and support models aimed at learning for school, work, and life for children and youth. We work on several cutting-edge projects in the domain of Generative AI, Automatic Speech Recognition, and Natural Language Processing. The team’s innovative technology products include the PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in 8 Indian languages and 6 global languages; Anytime Testing Machine (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; and a suite of AI-powered chatbots designed for diverse learning contexts: from early childhood care, to youth employment readiness, and OCR-based analysis tools that digitize and assess student work at scale. At Pratham International, we build for the long term. Whether it’s ensuring products are truly accessible across rural India and the global south through languages, building datasets to ensure context and accuracy for products, or gathering feedback from the field. Backed by partners like Google.org, Anthropic, and the Gates Foundation, we are committed to building digital public goods that ensure every child is in school and learning well. Role Overview About the work We desig

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 an Applied AI Engineer on our Enterprise team, your role is to guide some of the UK's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude. Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evalu